1.065 hasil untuk machine learning
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5G and Beyond Communication
…advanced topics such as terahertz communication, quantum security, and machine learning–based optimization. Emphasis is placed on energy-efficient design, green communication, and spectrum utilization to promote sustainability. The book bridges academic theory with industrial applications, offering…
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Artificial Intelligence in Human Resource Management: Transforming Workforce Strategy
…It also highlights the growing importance of predictive analytics, machine learning, chatbots, and intelligent HR systems in shaping the future workplace. The book provides both theoretical perspectives and practical insights, making it useful for academicians, students, researchers, HR…
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Artificial Intelligence in Healthcare Systems: Diagnostics, Ethics, and Clinical Decision Support
…practical insights. It explores key areas such as AI-driven diagnostics, machine learning applications in healthcare, clinical decision support systems (CDSS), and the ethical considerations surrounding data privacy, bias, and accountability. Special emphasis has been placed on making the content…
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Transformation of vocational education in the context of modern civilizational and national challenges: materials of the methodological seminar (Kyiv, April 2, 2026)
…particular the use of digital technologies, artificial intelligence and machine learning algorithms in vocational training, educational risk management and improving the quality of education; conceptual principles of vocational guidance, career counseling and human capital development; innovative…
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A Comprehensive and Updated Survey of Fuzzy, Neutrosophic, and Uncertain Sets
…across mathematics, computer science, engineering, decision science, machine learning, and related disciplines.
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EL-RAKHAWI BIO-QUANTUM COMPUTING FRAMEWORK INTEGRATING CEREBRAL ORGANOIDS, QUANTUM NEUROMORPHIC ARCHITECTURES, AND AUTONOMOUS AI SCIENTIST AGENTS A Unified Paradigm for Next-Generation Computational Intelligence and Autonomous Discovery
…of 10-100 femtojoules per operation—strategically offloading non-linear learning tasks to bypass the von Neumann bottleneck, without claiming system-wide femtojoule efficiency; (2) Variational quantum circuits leveraging exponential state-space representation to simulate neuromorphic networks…
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Wasserstein Generative Adversarial Networks for Bacterial Hemoglobin-Like Proteins Prediction
…to generate novel bacteria hemoglobins sequences and Support Vector Machine (SVM) method to predict and classify these proteins. The performance measure comparison of the proposed model with the existing method by the fivefold cross-validation technique has demonstrated the efficiency and the…
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AI Chatbots and Telemedicine in Cancer Care: Supporting Patients and Enhancing Communications
…providers. AI chatbots use natural language processing (NLP) and machine learning to engage with patients, offering tailored information, emotional support, and assistance in managing treatment plans. For example, they can explain complex medical information, help monitor symptoms, and provide…
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The Basics of AI and IoT A Beginner's Handbook
…complex topics into easy-to-understand explanations. From the basics of machine learning algorithms and neural networks to the intricacies of IoT devices, data communication, and security protocols, the book provides a step-by-step journey that empowers readers to grasp the core concepts with ease…
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Overview of Bayesian Approach to Statistical Methods
…Clinical & Pharmaceutical research including the emerging fields such as Machine Learning and Artificial Intelligence. Statistical methods based on the traditional frequentist approach are currently being use in these fields. With the emergence of high end computing nowadays Bayesian approach to…
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Advance Research Trends in Statistics and Data Science
…Overview of Artificial Neural Networks (ANNs): Concepts and Applications; Machine Learning Applications in Cancer Prediction and Prognosis; Maternal Health Situation in Bihar and Assam: A Comparative Analysis of State Fact Sheets of National Family Health Survey (NFHS)-4 and (NFHS)-5; Application…
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C and Data Structures
…how to manipulate data efficiently in memory. Beyond theoretical learning, the book offers a large collection of sample programs, assignments, and solved problems. These range from simple mathematical operations and decision-based programs to complex algorithm implementations using C, reinforcing…
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AI-Driven Drilling
…high-frequency sensor data to reveal hidden operational patterns Applying machine learning techniques to classify rig states with near-perfect accuracy Building visual frameworks such as ILT shading, anomaly detection plots, and waterfall charts Translating time-based inefficiencies into cost-based…
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The Analytics Edge: Combining Computer Science with Business Intelligence
…tools emerge, businesses are finding new ways to leverage data analytics. Machine learning, artificial intelligence, big data processing, and cloud computing are now central to BI processes, allowing businesses to analyze trends, predict future outcomes, and optimize operations in real time…
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Code War: The AI Revolution in Cybersecurity
…of AI—as a defender and as a weapon. It explains how AI technologies like machine learning, anomaly detection, and natural language processing are revolutionizing cyber defense, enabling faster, smarter, and more adaptive protection. Yet it also reveals how cybercriminals are exploiting AI to…
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INTRODUCTION TO ROBOTICS AND MECHATRONICS
…disciplines usher us into a world where the boundaries between man and machine blur, and where innovative possibilities abound. The story of robotics, a tale rooted in humanity's fascination with automata and self-operating machines dating back to ancient civilizations, has undergone a dramatic…
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ARTIFICIAL INTELLIGENCE IN MODERN HEALTHCARE SYSTEM
…the increasing complexity of healthcare delivery, AI technologies such as machine learning, deep learning, natural language processing, and predictive analytics are becoming essential in supporting medical professionals in making informed and timely decisions. The application of AI in healthcare…
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Cyber Security
…practices, risk management, compliance frameworks, and the role of AI and machine learning in modern threat detection. It bridges theory with hands-on practice, featuring lab exercises, checklists, and assessment tools to reinforce learning. Special emphasis is placed on emerging technologies like…
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Inteligência Artificial Aplicada à Criptografia e Segurança de Documentos Digitais
…a Inteligência Artificial (IA), especialmente por meio de técnicas de machine learning e deep learning, vem transformando a forma de detectar fraudes, fortalecer sistemas criptográficos e assegurar a autenticidade de documentos eletrônicos. Mais do que um guia técnico, este livro é um convite à…
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Python Unlocked: Techniques for Problem Solving
…tool for solving complex problems in areas ranging from data analysis and machine learning to web development and scientific computing. The idea for this book, Python Unlocked: Techniques for Problem Solving , stems from our shared passion for teaching and applying Python in diverse contexts. Our…
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