1,065 results for machine learning
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Proceedings of the 5th Summer School on Cyber-Physical Systems and Internet-of-Things, Vol. V, 2024
…Alberto Marchisio and Muhammad Shafique Energy-Efficient and Robust Deep Learning for Autonomous Systems .............. 178 Nabil Abdennadher Distributed Cloud Continuum Platform for Federated Learning Based Self-Adaptive IoT Applications (hands-on and demo tutorial)…
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Struktur Data dan Algoritma dalam Python Panduan Praktis
…pengurutan data, serta studi kasus nyata dalam bidang data science dan machine learning, sehingga relevansi praktis materi dapat langsung dirasakan. Setiap bab dilengkapi dengan penjelasan teoritis, ilustrasi, serta contoh kode Python yang dapat dieksekusi langsung. Dengan demikian, pembaca tidak…
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PHARMACOGNOSY AND PHYTOCHEMISTRY (From Natural Drug Sources to Modern Phytopharmaceutical Discovery)
…a validated HPTLC fingerprint, judge a toxicology report and interpret a machine-learning model. This book was written to bring these skills together in one compact, readable volume. The text follows the logic of the subject. Part I lays the foundations: what pharmacognosy is, how crude drugs are…
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Computational Intelligence and Python Programming
This book on computational intelligence and Python programming serve as com prehensive guides to nature-inspired computing, machine learning, and advanced problem-solving techniques. The first core focus of such a text establishes the theo retical foundation of computational intelligence (CI)…
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Textbook on Data Science and Business Intelligence for Corporate Decision-Making
…Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial…
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AI Innovations in Computer Science
…in artificial intelligence (AI) technology, such as computer vision, machine learning, neural networks, and natural language processing, are thoroughly examined in this book. It talks about how these developments are changing the scope of contemporary computers and how they are being used in a…
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A SemI40 Project Perspective: Industry4.0 from Evolution to Revolution
…automation, process optimisation, energy efficiency, swarm intelligence, machine learning for decision making support, advanced transportation and logistics, compliance in CPS,. . . The broad selection of articles offers engineers, scientists, technicians, and managers numerous examples of…
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Data Fusion: Theory, Methods, and Applications
…computational statistics, computational geometry, bioinformatics, machine learning, pattern recognition, quality management, engineering, statistics, finance, economics, etc. It plays a crucial role in: synthetic description of data processes or whole domains, creation of rule bases for approximate…
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AI in Medical Imaging and Early Disease Detection
…a critical role in the early detection of various diseases. By leveraging machine learning and deep learning algorithms, AI systems can analyze complex imaging data with remarkable speed and accuracy, often surpassing traditional diagnostic methods in sensitivity and consistency. In early disease…
Also available at: Zenodo
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Application of AI in Research and Data Science
…be impossible for humans to analyze manually. Through techniques such as machine learning, deep learning, and natural language processing, AI identifies patterns, correlations, and causal relationships within data, facilitating new insights and predictive modeling. In data science, AI algorithms…
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Artificial Intelligence in Biomarker Discovery: Applications Across Medical Specialties
…to disease outcomes. AI overcomes these barriers by applying advanced machine learning and deep learning algorithms capable of analyzing large, multi-modal datasets and uncovering relationships that may remain hidden using conventional approaches. In oncology, AI-driven biomarker discovery…
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AI for Self-Diagnosis, Self-Monitoring, and Personalized Medicine
…continuous self-management. AI algorithms, particularly those leveraging machine learning and deep learning, excel at processing vast, complex datasets, including genomic information, real time wearable sensor data, electronic health records, and lifestyle inputs, to derive insights far beyond…
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Emerging Frontiers in Computer Science, Mathematics and Commerce in the Digital Era
…a wide range of contemporary topics, including Artificial Intelligence, Machine Learning, Deep Learning, Blockchain Technology, Cybersecurity, Cloud Computing, Edge Computing, Big Data Analytics, Internet of Things (IoT), Business Intelligence, Financial Technology, Data Science, Cryptography…
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Artificial Intelligence for Information Security Principles, Applications, and Hands-On Practice
…on theoretical concepts, it emphasizes real-world applications, hands-on learning, and widely used cybersecurity tools. Through clear explanations, practical examples, figures, tables, laboratory exercises, and a comprehensive capstone project, readers will gain both the conceptual understanding…
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The AI Revolution in Life Sciences: Technologies, Applications, and Future Directions
…shaping this rapidly evolving field. It introduces key concepts such as machine learning, deep learning, natural language processing, computer vision, predictive analytics, and generative AI, highlighting their ability to process complex datasets, identify patterns, improve prediction, and support…
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Artificial Intelligence in Genomic Medicine: Improving Diagnostic Accuracy and Treatment Outcomes
…complex patterns within vast datasets. AI algorithms, particularly machine learning and deep learning models, can process and interpret these massive datasets with remarkable precision. This capability allows for the discovery of novel genetic markers, risk factors, and disease mechanisms that were…
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Power Systems Engineering: From Generation to Distribution BY Dr. Shravan Kumar Yadav
…and the imperative of sustainability—calls for an integrated approach to learning and practice. This book is structured to provide clear insights into critical topics such as power generation technologies, transformer and machine design, transmission infrastructure, system protection, and…
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Neologismata, Volume 1: Proofs of New Testament Redactions between 138 and 249 CE
…of content as training or input data for Artificial Intelligence Models, Machine Learning, online videos, podcasts, or any other applications, presentations both private and public, including commercial, academic, and non-profit libraries, archives, or repositories. Violators will be subject to…
Also available at: Zenodo
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