Computer & IT

Blockchain es una tecnología disruptiva que promete alterar muchos sectores de la economía mundial. Esta innovadora tecnología pretende revolucionar las industrias que dependen de la intermediación y la confianza, desplazando el paradigma de las arquitecturas centralizadas dominantes en la actualidad hacia la descentralización. En los dos últimos años se ha producido un crecimiento exponencial de blockchain, que ha evolucionado en múltiples formas y actualmente comprende muchas tecnologías y herramientas diferentes, algunas maduras, otras relativamente nuevas, todo lo cual hace que comprender y dominar las ideas y conceptos clave sea una tarea difícil.

Internet de las cosas (IoT) es una tecnología de rápido crecimiento y fácil uso. En un plazo excepcionalmente corto, ha cubierto casi todos los ámbitos de la vida. La salud es el ámbito fundamental de la vida humana. El enfoque tradicional de la atención sanitaria ha quedado atrás. El campo de la sanidad ha aceptado el Internet de las Cosas y la informática sanitaria, y está haciendo maravillas en el sector sanitario que nunca antes se habían hecho. IoT con la informática sanitaria está definiendo de forma drástica el nuevo camino del sector sanitario. IoT con informática sanitaria tiene un enorme potencial para mejorar el ámbito médico. Este estudio presenta los servicios sanitarios centrados en el paciente que desempeñan un papel vital en la atención sanitaria electrónica. Este estudio describe el ciclo de vida arquitectónico completo para representar el ciclo de vida de la comprobación del bienestar con componentes esenciales que comienzan con la recopilación y agregación de datos, la transmisión y segregación de datos, la visualización de datos y, finalmente, el análisis de datos. Los dispositivos sensores que llevan los pacientes transmiten los datos a la nube. Estos datos obtenidos de diversas fuentes se analizan cuidadosamente y, en función de ellos, se diagnostica a los pacientes.

Blokchejn - äto rewolücionnaq tehnologiq, kotoraq obeschaet izmenit' mnogie otrasli mirowoj äkonomiki. Jeta innowacionnaq tehnologiq prizwana sowershit' rewolüciü w teh otraslqh, kotorye zawisqt ot posrednichestwa i doweriq, smestiw paradigmu s dominiruüschih w nastoqschee wremq centralizowannyh arhitektur w storonu decentralizacii. V poslednie neskol'ko let nablüdaetsq äxponencial'nyj rost blokchejna, kotoryj priobrel mnozhestwo form i w nastoqschee wremq wklüchaet w sebq mnozhestwo razlichnyh tehnologij i instrumentow, nekotorye iz kotoryh qwlqütsq zrelymi, a drugie - otnositel'no nowymi, chto delaet ponimanie i oswoenie klüchewyh idej i koncepcij slozhnoj zadachej.

Internet weschej (IoT) - äto bystro razwiwaüschaqsq, udobnaq dlq pol'zowatelej tehnologiq. Za isklüchitel'no korotkij promezhutok wremeni ona ohwatila prakticheski wse sfery zhizni. Zdorow'e - osnowopolagaüschaq sfera chelowecheskoj zhizni. Tradicionnyj podhod w zdrawoohranenii teper' ostalsq pozadi. Zdrawoohranenie prinqlo Internet weschej i medicinskuü informatiku, i äto tworit chudesa w sektore zdrawoohraneniq, kotoryh nikogda ne bylo w proshlom. IoT i informatika zdrawoohraneniq kardinal'no opredelqüt nowyj put' razwitiq sektora zdrawoohraneniq. IoT i informatika zdrawoohraneniq imeüt ogromnyj potencial dlq uluchsheniq medicinskoj sfery. V ätom issledowanii predstawleny orientirowannye na pacienta medicinskie uslugi, igraüschie zhiznenno wazhnuü rol' w älektronnom zdrawoohranenii. V ätom issledowanii opisywaetsq polnyj zhiznennyj cikl arhitektury, chtoby izobrazit' zhiznennyj cikl prowerki sostoqniq zdorow'q s osnownymi komponentami, nachinaq so sbora i agregacii dannyh, peredachi i razdeleniq dannyh, wizualizacii dannyh i, nakonec, analitiki dannyh. Sensornye ustrojstwa, kotorye nosqt pacienty, peredaüt dannye w oblako. Poluchennye iz razlichnyh istochnikow dannye tschatel'no analiziruütsq, i na ih osnowe pacientam stawitsq dal'nejshij diagnoz.

A Internet das coisas (IoT) é uma tecnologia de crescimento rápido e de fácil utilização. Num espaço de tempo excecionalmente curto, abrangeu quase todos os domínios da vida. A saúde é o domínio fundamental da vida humana. A abordagem tradicional dos cuidados de saúde está agora a ser deixada para trás. O sector dos cuidados de saúde aceitou a Internet das Coisas e a informática da saúde e está a fazer maravilhas no sector da saúde que nunca tinham sido feitas no passado. A IdC com a informática da saúde está a definir de forma dramática a nova forma de estar no sector da saúde. A IdC com a informática da saúde tem um enorme potencial para melhorar o domínio médico. Este estudo apresenta serviços de saúde centrados no doente que desempenham um papel vital nos cuidados de saúde electrónicos. Este estudo descreve o ciclo de vida arquitetónico completo para representar o ciclo de vida da verificação do bem-estar com componentes essenciais que começam na recolha e agregação de dados, na transmissão e segregação de dados, na visualização de dados e, por fim, na análise de dados. Os dispositivos sensores usados pelos pacientes transmitem os dados para a nuvem. Estes dados obtidos de várias fontes são cuidadosamente analisados e, com base neles, os pacientes são diagnosticados.

L'Internet delle cose (IoT) è una tecnologia in rapida crescita e di facile utilizzo. In un arco di tempo eccezionalmente breve, ha coperto quasi tutti i campi della vita. La salute è il settore fondamentale della vita umana. L'approccio tradizionale all'assistenza sanitaria è stato abbandonato. Il settore sanitario ha accettato l'Internet degli oggetti e l'informatica sanitaria e sta facendo miracoli nel settore sanitario che non erano mai stati fatti in passato. L'IoT e l'informatica sanitaria stanno definendo il nuovo modo di fare sanità. L'IoT e l'informatica sanitaria hanno un enorme potenziale per migliorare il settore medico. Questo studio presenta i servizi sanitari incentrati sul paziente che svolgono un ruolo fondamentale nell'E-HealthCare. Questo studio descrive il ciclo di vita architetturale completo per rappresentare il ciclo di vita del controllo del benessere con i componenti essenziali, a partire dalla raccolta e dall'aggregazione dei dati, dalla trasmissione e dalla segregazione dei dati, dalla visualizzazione dei dati e infine dall'analisi dei dati. I dispositivi sensoriali indossati dai pazienti trasmettono i dati al cloud. Questi dati ottenuti da varie fonti vengono analizzati attentamente e in base a ciò i pazienti ricevono un'ulteriore diagnosi.

Das Internet der Dinge (IoT) ist eine schnell wachsende, benutzerfreundliche Technologie. In einer außergewöhnlich kurzen Zeitspanne hat es fast alle Lebensbereiche erfasst. Die Gesundheit ist der wichtigste Bereich des menschlichen Lebens. Die traditionelle Herangehensweise an die Gesundheitsfürsorge ist inzwischen überholt. Das Gesundheitswesen hat das Internet der Dinge und die Gesundheitsinformatik angenommen und vollbringt Wunder im Gesundheitssektor, die es in der Vergangenheit nicht gegeben hat. Das Internet der Dinge (IoT) und die Gesundheitsinformatik bestimmen den neuen Weg des Gesundheitswesens auf dramatische Weise. IoT und Gesundheitsinformatik haben ein enormes Potenzial zur Verbesserung des medizinischen Bereichs. In dieser Studie werden patientenorientierte Gesundheitsdienste vorgestellt, die eine wichtige Rolle bei E-HealthCare spielen. Diese Studie beschreibt den kompletten architektonischen Lebenszyklus, um den Lebenszyklus der Gesundheitskontrolle mit den wesentlichen Komponenten darzustellen, angefangen bei der Datenerfassung und -aggregation, der Datenübertragung und -trennung, der Datenvisualisierung und schließlich der Datenanalyse. Die von den Patienten getragenen Sensorgeräte übertragen die Daten an die Cloud. Diese aus verschiedenen Quellen erhaltenen Daten werden sorgfältig analysiert und darauf basierend werden die Patienten weiter diagnostiziert.

This book constitutes the refereed proceedings of the 27th International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2023, held in London, UK, on May 29, 2023 (co-located with 22nd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)).This book contains 10 full papers which are the extended and revised versions of the papers accepted to the workshop.The papers were carefully reviewed and selected from 13 submissions. They are organized in topical sections as follows: Norms, Social contracts, Institutions, and Privacy; Studies on the notion of Value; and Argumentation and Conventions

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.

This volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis.

This book presents the proceedings of the 6th International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2023), which took place at Brock University, St. Catharines, Ontario, Canada, October 11-13, 2023. The book addresses issues related to new dependability paradigms, design, and performance of dependable network computing and mobile systems, as well as issues related to the security of these systems. The goal of the conference is to provide a forum for researchers, students, scientists and engineers working in academia and industry to share their experiences, new ideas and research results in the above-mentioned areas.

This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied.The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary.This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems.

Die Beiträge dieses Bandes behandeln das breite Spektrum historischer und aktueller Problemstellungen eines interessengerechten Urheberrechts. Sie reichen von Textübernahmen in den Werken des Humanisten Conrad Lagus über die Zensurpolitik gegen Gerhart Hauptmanns Sozialdrama »Die Weber« bis zu der Frage, ob ein Mäzen einen Künstler zur Werkschöpfung gerichtlich zwingen kann. Darüber hinaus werden Einblicke in die Frühgeschichte des EDV-Rechts gewährt sowie Aufschlüsse über die Lizenzierung von Plattform-Software und das Leistungsschutzrecht für Presseverleger gegeben. Der Band macht deutlich, dass der in allen Zeiten bestehende Interessenkonflikt zwischen Schöpfer, Verwerter und Nutzer mit vorgefertigten Schablonen nicht zu lösen ist.The contributions in this volume deal with the broad spectrum of historical and current problems of copyright law. They range from text adaptations in works by the humanist Conrad Lagus to the censorship policy in Gerhart Hauptmann's social drama "The Weavers" ("Die Weber") and to the question of whether a patron can force an artist to create a work. In addition, insights are provided into the early history of IT law as well as findings on the licensing of platform software and the copyright law for press publishers. The volume makes it clear that the conflict of interests between creator, exploiter and user, which has always existed, cannot be resolved with ready-made templates.

Academic Paper from the year 2023 in the subject Computer Science - Miscellaneous, , language: English, abstract: The coronavirus disease 2019 (COVID-19), as designated by the World Health Organization, is causing a pandemic that will affect the entire world. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which is the source of COVID-19, was first identified in late December 2019 in Wuhan, China. Within a few months, the virus had spread to various countries across the world. Because COVID-19 affects millions of individuals worldwide, it has turned into a global health emergency. The most typical symptoms of COVID-19 virus are fever, a dry cough, and gastrointestinal issues. Being extremely contagious, the illness readily spreads to persons in close touch with those who are infected. Contact tracking is a good way to stop the virus from spreading, according to us. Convolutional neural networks (CNNs) in particular have achieved successful outcomes in the categorization and analysis of medical image data using artificial intelligence (AI) approaches. This survey and research proposes a deep CNN architecture for the diagnosis of COVID-19 based on the classification of chest X-ray and CT-Scan images. This review article explains how to use a database of X-ray and CT-Scan images from patients with common bacterial pneumonia to automatically diagnose coronavirus infection., proven Covid-19 infection, and common cases. The study's objective was to assess the value of COVID-19 acquisition. Globally speaking, the number of infected cases increases dramatically in the COVID-19 scenario. Because of this, medical professionals and infected patients made the crucial option to quickly embrace various medical facilities.

Zwischen dem dramatischen Rückgang der biologischen Vielfalt und dem voranschreitenden Klimawandel gibt es vielfältige Wechselwirkungen. Das politische Zauberwort, um beide Herausforderungen parallel anzugehen, heißt naturbasierte Lösungen. Die Hoffnungen, die auf diesem von der Natur inspiriertem Ansatz ruhen, sind riesig. Lokale, anpassungsfähige Maßnahmen sollen Ökosysteme schützen oder wiederherstellen und dabei gleichzeitig die Folgen der Erderwärmung mindern. Ziel ist, die ökologische, soziale und wirtschaftliche Widerstandsfähigkeit zu stärken. In der Praxis zeigt sich allerdings, dass naturbasierter Klimaschutz kein Ersatz für den raschen Ausstieg aus fossilen Brennstoffen und den grundlegenden Umbau von Wirtschaft und Gesellschaft ist.

Der globale Klimawandel nimmt weiter bedrohlich zu. Hitzewellen, Flutkatastrophen und Waldbrände gehören fast schon zum Alltag. Trotzdem ist die Bereitschaft in der deutschen Bevölkerung gering, selbst einen Beitrag zum Klimaschutz zu leisten. Das überrascht, denn in Umfragen bekennt sich immer eine große Mehrheit zum Klimaschutz. Allerdings haben wohl viele einen Klimaschutz im Kopf, der persönlich nichts kosten und nichts verändern darf. Ingo Balderjahn setzt sich mit diesem Widerspruch aus verhaltenswissenschaftlicher Sicht auseinander und legt offen, warum viele weiterhin ungebremst verschwenderisch und klimaschädlich konsumieren. Andererseits gibt es durchaus Menschen, die deutlich weniger konsumieren, als sie sich finanziell leisten könnten. Diese Minderheit in Deutschland verzichtet freiwillig auf eher unnötige und kurzlebige Güter - ohne irgendetwas dabei zu entbehren. Im Gegenteil: Genügsame Konsumgewohnheiten stärken die persönliche Selbstbestimmung, Unabhängigkeit und Zufriedenheit.

The present reprint encompasses all the articles that have been accepted and published in the Special Issue entitled "Probability, Stochastic Processes and Optimization". In applied research, Probability Theory is usually regarded as a distant, often-neglected relative of Statistics. This Special Issue attempted to rectify this misconception by publishing papers presenting novel applications and original models from the natural, computer, or social sciences, based on Probability and Stochastic Processes.

A comprehensive MS-102 exam guide offering practical insights, from provisioning Microsoft 365 to mastering Defender components, ensuring not just exam success but true expertisePurchase of the book unlocks access to web-based exam prep resources like mock exams, flashcards, exam tips, and a free eBook PDF.Key Features:Navigate exam topics easily with well-structured and informative contentAccess online practice tools to enhance exam readinessBoost exam confidence through expert tips and real-world insightsPurchase of the book unlocks access to web-based exam prep resources like mock exams, flashcards, exam tips, and a free eBook PDFBook Description:The MS-102: Microsoft 365 Administrator Exam Guide is meticulously crafted to empower readers with practical insights, starting with the essentials of provisioning a Microsoft 365 tenant, configuring identity synchronization and secure access, and deploying key Microsoft 365 Defender components.The book's purpose is clear-to guide professionals through the complexities of the MS-102 exam, ensuring not just exam success but mastery of the subject matter. This comprehensive exam guide comes with lifetime access to supplementary resources on an online platform, including flashcards, mock exams, and exam tips from experts. With unlimited access to the website, you'll have the flexibility to practice as many times as you desire, maximizing your exam readiness.As you progress through each chapter, the book unveils the layers of Microsoft 365 workloads, equipping you with the skills to manage role-based administration, deploy identity synchronization using Entra ID Connect, implement modern authentication methods, manage secure access through Conditional Access policies, and analyze security threats using Microsoft 365 Defender.By the end of this book, you'll have the proficiency to implement data loss prevention, configure information and data protection features, and approach the MS-102 exam with confidence.What You Will Learn:Implement and manage Microsoft 365 tenantsAdminister users, groups, and contacts in Entra IDConfigure and manage roles across Microsoft 365 servicesTroubleshoot identity synchronization issuesDeploy modern authentication methods to enhance securityAnalyze and respond to security incidents using Microsoft 365 DefenderImplement retention policies and sensitivity labelsEstablish data loss prevention for enhanced information protectionWho this book is for:If you're looking to validate your skills in planning, deploying, and managing Microsoft 365 identity and security workloads, this book is for you. Ideal for IT professionals seeking the MS-102 certification, this book ensures success with clear guidance, practical insights, and hands-on exercises. Although not a pre-requisite, prior knowledge of configuring DNS records, experience of administering a Microsoft 365 tenant, and a high-level understanding of information protection concepts will be beneficial.

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging.  Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human¿computer interaction, databases, and performance evaluation.

Definition of literacy in the context of special educationLiteracy is the set of skills that a person needs to understand and communicate with the world around them. It typically includes reading, writing, and mathematics.For students with special educational needs (SWD), literacy is a more complex concept. It also includes social and emotional skills, as well as all the skills a student needs to be successful in their life.The definition of literacy in the context of special education is a complex issue. There is no one answer, as each student's needs are different. However, here are some of the key aspects of literacy in the context of special education:· Capacity: SWD students often face challenges in learning traditional literacy skills. These include understanding and using reading, writing, and mathematics.· Comprehension: SWD students often face challenges in developing social and emotional skills. These include communicating with others, understanding information, and solving problems.· Competency: SWD students often face challenges in developing the skills they need to succeed in education, employment, and participation in society.How to support literacy for SWD studentsThere are many ways to support literacy for SWD students. Some of the most effective strategies include:· Personalized instruction: SWD students need instruction that is tailored to their individual needs and learning styles.· Multisensory approaches: Multisensory approaches use multiple senses to help students learn, such as using visual aids, auditory cues, and kinesthetic activities.· Scaffolding: Scaffolding provides support and guidance to students as they learn new skills.· Collaboration: Collaboration between teachers, parents, and other professionals can help ensure that SWD students receive the support they need.

""Illustrated Comprehension Volume 6"" by Manoj Publications is a captivating educational resource focusing on developing strong reading comprehension skills. With its engaging content and visually appealing illustrations, this volume aims to enhance students' understanding and critical thinking abilities.""Illustrated Comprehension Volume 6"" offers various reading passages across multiple genres, including fiction, non-fiction, poetry, and more. Each path is carefully chosen to challenge students and expand their literary horizons.Throughout the book, students will encounter thought-provoking comprehension questions and activities that encourage deep text analysis. These activities prompt students to identify main ideas, infer meaning, evaluate arguments, and draw conclusions. Students develop essential skills for comprehending and interpreting written works by engaging with the material.With its user-friendly layout and interactive approach, ""Illustrated Comprehension Volume 6"" enriches the learning experience. It is a valuable resource for educators, parents, and students who seek to strengthen their reading comprehension abilities and develop a lifelong love for reading.Manoj Publications' dedication to providing high-quality educational materials is evident in ""Illustrated Comprehension Volume 6,"" making it an essential tool for fostering advanced reading comprehension skills and nurturing a deeper appreciation for literature.

¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿: ¿¿ ¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿, ¿¿ ¿¿¿¿ ¿¿¿ ¿¿ ¿¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿¿ ¿¿¿, ¿¿¿¿ ¿¿¿¿, ¿¿¿¿ ¿¿¿¿ ¿¿¿ ¿¿ ¿¿¿ ¿¿¿¿ ¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿ ¿¿¿ ¿¿ ¿¿¿¿¿ ¿¿¿¿, ¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿ ¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿¿¿¿¿¿¿? ¿¿¿ ¿¿¿¿¿¿ ¿¿¿ ¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿ ¿¿ ¿¿¿¿¿¿ ¿¿¿¿¿ ¿¿, ¿¿ ¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿, ¿¿¿¿ ¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿, ¿¿¿¿¿ ¿¿ ¿¿¿¿ ¿¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿ ¿¿¿¿ ¿¿, ¿¿¿ ¿¿ ¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿ ¿¿¿¿ ¿¿ ¿¿¿ ¿¿ ¿¿¿¿ ¿¿ ¿¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿¿ ¿¿ ¿¿¿ ¿¿¿ ¿¿¿, ¿ ¿¿ ¿¿¿¿ ¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿¿¿¿ ¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿, ¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿ ¿¿¿ ¿¿¿ ¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿¿¿¿ ¿¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿, ¿¿¿¿ ¿¿¿¿¿ ¿¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿ ¿¿¿¿ ¿¿¿, ¿¿¿¿¿¿¿ ¿¿¿¿¿¿ ¿¿¿ ¿¿¿¿¿¿¿¿¿¿ ¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿ ¿¿¿ ¿¿¿ ¿¿¿¿, ¿¿ ¿¿ ¿¿¿ ¿¿ ¿¿¿¿¿¿¿¿ ¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿¿ ¿¿¿ ¿¿ ¿¿¿¿¿¿¿¿¿ ¿¿¿¿¿ ¿¿ ¿¿¿¿¿ ¿¿¿¿ ¿¿¿, ¿¿¿¿¿¿¿ "¿¿¿¿¿" ¿¿¿¿ ¿¿¿¿Quantum Teleportation: The Beginning of a Magical JourneyImagine, in an instant, you can send an object from one place to another without touching it, without seeing it, without any noise. This is not a science fiction story, but the startling reality of quantum teleportation.But what is this quantum teleportation? In simple terms, it is a strange and wonderful way of transferring information, which instantly transfers the quantum state of a particle, whether it is a piece of an atom or a photon of light, to another particle, even if they are very far apart. It is like sending the informational ghost of an object, not its physical form.To understand this, we must take a brief glimpse into the mysterious world of quantum physics. Unlike classical physics, where things are definite and clear, the quantum world is ruled by uncertainty and ambiguity. Here, particles can exist in multiple states at once and are connected in strange ways, called "entanglement."

Welcome to the world of quantum computing, where the boundaries of classical computation are pushed beyond imagination, and the promise of a transformed reality beckons. This book, "Quantum Computing Unveiled: Transforming Reality," embarks on a captivating journey through the intricacies of quantum computing, revealing its profound applications in our lives and the far-reaching effects it has on our world.The realm of quantum computing is both thrilling and enigmatic, holding the power to revolutionize industries, tackle complex problems, and unlock the secrets of the quantum universe itself. As we stand on the cusp of a new era, it is crucial to understand the profound implications of this technology on our society, from the way we secure our information to how we advance scientific discovery, optimize financial systems, and harness the potential of artificial intelligence.In this book, we will delve deep into the foundations of quantum mechanics, unravel the mysteries of qubits and quantum gates, and explore the hardware that makes quantum computation possible. We will demystify quantum algorithms, shedding light on how they outperform classical counterparts in remarkable ways, from factoring large numbers at speeds inconceivable to classical computers to revolutionizing machine learning.But this book is not just a technical exploration; it is a journey that extends beyond the laboratory and into the heart of our daily lives. We will investigate the real-world applications of quantum computing, from the enhancement of cryptography and cybersecurity to the acceleration of drug discovery, material science, and optimization problems. We will uncover the fascinating stories of startups and tech giants that are racing to harness quantum power, and we will explore the skills needed to navigate this emerging landscape.However, as we stand on the threshold of quantum computing's transformational potential, we must also confront the ethical dilemmas and challenges it presents. We will delve into issues of privacy, security, and the profound societal impacts that this technology brings with it.This book is not just for the experts but for everyone. It seeks to make quantum computing accessible to all, providing a bridge between the quantum realm and our daily lives. Whether you are a student, a professional in any field, or simply someone curious about the future, you will find valuable insights and knowledge within these pages.As we embark on this journey through the world of quantum computing, let us keep in mind the profound responsibility that comes with unveiling such transformative power. With great potential comes great responsibility, and we must consider the ethical, economic, and geopolitical implications that quantum computing brings to our society.In "Quantum Computing Unveiled: Transforming Reality," we invite you to explore the quantum frontier, to understand the transformative potential it holds, and to join the conversation about how we shape a future where quantum computing enhances our lives and empowers us to tackle some of the most complex challenges facing humanity.Prepare to be inspired, challenged, and amazed. Welcome to the quantum revolution.Dr. Hesham Mohamed Elsherif

L'aumento dei casi di diabete di tipo 2 ha alimentato la ricerca di solidi sistemi diagnostici. L'integrazione dell'apprendimento automatico migliora questi sistemi analizzando diversi set di dati e affrontando le complicazioni associate come l'obesità, le cattive abitudini e l'ipertensione. La diagnosi precoce è fondamentale, date le gravi implicazioni per la salute. Il ML, abbinato all'elaborazione del linguaggio naturale, aiuta nella prognosi, nella diagnosi e nei piani di prevenzione. Utilizzando il dataset PIDD (768 campioni, 16 attributi), questa ricerca si concentra sulla previsione del diabete con un set di caratteristiche ampliato. La pre-elaborazione prevede la normalizzazione, il bilanciamento con SMOTE e i controlli di completezza per migliorare l'accuratezza del modello. Nel complesso, questo studio sottolinea il ruolo fondamentale del ML nel far progredire la comprensione e le capacità predittive del diabete di tipo 2 attraverso metodologie e selezioni meticolose dei set di dati.

Ce livre constitue une source de données primaires. Il brosse un tableau vivant de certaines des nombreuses subtilités de l'adoption des technologies au niveau local dans un État nigérian contemporain typique. Il fournit une évaluation de première main de plusieurs facteurs internes et externes propres aux petites et moyennes entreprises au Nigeria sans miner leur rôle de catalyseur potentiel pour un développement accéléré et chaque point est présenté avec une précision clinique.

L'augmentation du nombre d'incendies a fait des systèmes d'alarme incendie un élément essentiel des accessoires nécessaires à tout type de construction. Les tragédies les plus fréquentes aujourd'hui sont les incendies. De nombreuses techniques de détection précoce des incendies ont été proposées afin de réduire la fréquence des incidents d'incendie et les dommages qu'ils causent.Voici Flamed, un modèle d'apprentissage profond de pointe pour la détection instantanée des incendies et de la fumée. Lorsqu'il s'agit de repérer d'éventuelles menaces d'incendie, la technologie Flamed basée sur les réseaux neuronaux convolutifs (CNN), qui a été entraînée sur un important ensemble de données Kaggle, offre une précision et une rapidité inégalées. La conception de pointe de Flamed et sa vitesse de traitement lui permettent d'analyser rapidement les flux vidéo en direct et de détecter les flammes et la fumée avec une précision inégalée. Flamed est la meilleure option pour la détection précoce des incendies dans les bâtiments, la surveillance des environnements industriels et le maintien de la sécurité publique. Comptez sur Flamed pour fournir des notifications précises et rapides afin de protéger les personnes et les biens des impacts destructeurs du feu et de la fumée.

Les techniques d'apprentissage automatique et d'apprentissage profond (DL) ont montré des résultats prometteurs dans la détection des activités frauduleuses. Dans cette thèse, nous proposons des approches pour la détection de la fraude par carte de crédit qui combinent des techniques d'apprentissage supervisé et non supervisé. Nous appliquons des techniques d'ingénierie des caractéristiques pour extraire les caractéristiques pertinentes de l'ensemble des données de transactions de cartes de crédit, suivies par des modèles de détection d'anomalies qui combinent des techniques d'apprentissage supervisé, semi-supervisé et d'apprentissage profond. Nous analysons l'ensemble de données en utilisant divers paramètres et méthodes. Notre étude sur les différentes méthodes de ML et DL pour la détection des transactions frauduleuses porte sur les réseaux neuronaux artificiels la régression linéaire avec autoencodeur, les K-Nearest Neighbors (KNN), XGBoost, CatBoost, Adaboost, Gradient Boosting, Random Forest, Decision Tree, K-Means Clustering, LightBGM, Régression logistique, régression logistique avec données sous-échantillonnées, Naive Bayes achieves, SVC achieves, Isolation Forest, et Local Outlier Factor. Nous évaluons notre approche sur un ensemble de données réelles de transactions par carte de crédit nommé Creditcard.csv provenant de l'ensemble de données Kaggle.