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Found 20 from your keywords: subject="COMPUTERS "
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Exploring physics with computer animation and PhysGL /
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Institute of Physics (Great Britain),Morgan & Claypool Publishers,Bensky, T. J.

"Version: 20161001"--Title page verso."A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.Preface -- 1. Using computer animation to learn physics -- 1.1. What is computer animation? -- 1.2. Why computer animation with physics? -- 1.3. Why computer animation in a course on physics? -- 1.4. Like video games?2. A taste of using computer for physics -- 2.1. PhysGL : e…

Edition
-
ISBN/ISSN
9781681744254
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1 online resource (various pagings) :illustrations (some color).
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AI and ethics :a computational perspective /
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Institute of Physics (Great Britain),Mukherjee, Animesh,

"Version: 20230701"--Title page verso.Includes bibliographical references.1. Preamble -- 1.1. What is ethics? -- 1.2. What is AI? -- 1.3. What is AI and ethics? -- 1.4. What is a computational perspective?2. Discrimination, bias, and fairness -- 2.1. Chapter foreword -- 2.2. Sensitive attributes -- 2.3. Notions of discrimination -- 2.4. Types of bias -- 2.5. Operationalizing fairness -- 2.6. Re…

Edition
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ISBN/ISSN
9780750361163
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1 online resource (various pagings) :illustrations (some color).
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Blockchain with artificial intelligence for healthcare :a synergistic approach /
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Institute of Physics (Great Britain),Kadry, Seifedine,Malviya, Rishabha,Singh, Arun Kumar,Sundram, Sonali,Balusamy, Balamurugan,

"Version: 20230901"--Title page verso.Includes bibliographical references.8. Boosting biomedical research with the integration of blockchain and AI -- 8.1. Introduction -- 8.2. Advancements in artificial intelligence -- 8.3. A system of large-scale storage distance -- 8.4. Data privacy and regulatory barriers : their significant concerns -- 8.5. The developments in blockchain -- 8.6. The exonum…

Edition
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ISBN/ISSN
9780750358392
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1 online resource (various pagings) :illustrations (some color).
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Mastering computer vision with PyTorch and machine learning /
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Institute of Physics (Great Britain),Xiao, Caide,

"Version: 20240401"--Title page verso.Includes bibliographical references.1. Mathematical tools for computer vision -- 1.1. Probability, entropy and Kullback-Leibler divergence -- 1.2. Using a gradient descent algorithm for linear regression -- 1.3. Automatic gradient calculations and learning rate schedulers -- 1.4. Dataset, dataloader, GPU and models saving -- 1.5. Activation functions for no…

Edition
-
ISBN/ISSN
9780750362443
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1 online resource (various pagings) :illustrations (some color).
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Emerging trends in artificial intelligence :integrating theories and practice /
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Institute of Physics (Great Britain),Chiroma, Haruna,

"Version: 20250501"--Title page verso.Includes bibliographical references.1. Artificial intelligence history from the abacus through science fiction movies and artificial intelligence winter to future expectations -- 1.1. Introduction -- 1.2. Previously published history of artificial intelligence -- 1.3. Era of mechanical operations leading to computers -- 1.4. Innovations and discoveries from…

Edition
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ISBN/ISSN
9780750363204
Collation
1 online resource (various pagings) :illustrations (some color).
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Image processing with Python :a practical approach /
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Institute of Physics (Great Britain),Bajaj, Varun,Ansari, Irshad Ahmad,

"Version: 20240701"--Title page verso.Includes bibliographical references.1. Basics of image analysis and manipulation using Python / Akanksha Dixit -- 2. Digital image processing using Python language / Devanand Bhonsle, Ravi Mishra, Swati Hadke, Anupama Mohabansi, Prajakta Upadhye and Sheetal Mungale -- 3. Review and implementation of image segmentation techniques in Python / Siddharth Bhaler…

Edition
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ISBN/ISSN
9780750359245
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1 online resource (various pagings) :illustrations (some color).
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A course on digital image processing with MATLAB /
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Institute of Physics (Great Britain),Thiruvikraman, P. K.,

"Version: 20241101"--Title page verso.Includes bibliographical references.1. Introduction -- 1.1. The scope and importance of digital image processing -- 1.2. Images -- 1.3. Digital images -- 1.4. Processes involved in image processing and recognition -- 1.5. Applications of image processing2. Image enhancement in the spatial domain -- 2.1. Enhancement of contrast -- 2.2. Gray level transformat…

Edition
Second edition.
ISBN/ISSN
9780750359696
Collation
1 online resource (various pagings) :illustrations (some color).
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Python and Matplotlib essentials for scientists and engineers /
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Institute of Physics (Great Britain),Morgan & Claypool Publishers,Wood, Matt A.,

"Version: 20140601"--Title page verso."A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso.Includes bibliographical references and index.Preface -- Introduction : why Python and Matplotlib? -- Numerical analysis and publication-quality plots -- Enter Python -- ResourcesDownloading and installationFirst steps -- Working with strings -- Accessing user input -- Your f…

Edition
-
ISBN/ISSN
9781627056205
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1 online resource (various pagings) :illustrations (some color).
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Human-assisted intelligent computing :modeling, simulations and applications /
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Institute of Physics (Great Britain),Manshahia, Mukhdeep Singh,Litvinchev, I. S.,Thomas, J. Joshua,Vasant, Pandian,Weber, Gerhard-Wilhelm,

"Version: 20230401"--Title page verso.Includes bibliographical references.1. Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0 : a review / Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra and Mukhdeep Singh Manshahia -- 2. Iris-based biometric cryptosystem / Ivan A. Matveev and Igor S. Litvinchev…

Edition
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ISBN/ISSN
9780750348010
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1 online resource (various pagings) :illustrations (some color).
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Machine learning for physicists :a hands-on approach /
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Institute of Physics (Great Britain),Raeisi, Sadegh,Raeisi, Sedighe,

"Version: 20231101"--Title page verso.Includes bibliographical references.1. Preliminaries -- 1.1. Python -- 1.2. GitHub library -- 1.3. Datasets2. Introduction -- 2.1. What is machine learning? -- 2.2. Applications of machine learning -- 2.3. Different types of machine learning -- 2.4. Structure of the bookpart I. Supervised learning. 3. Supervised learning -- 3.1. Definitions, notations, and …

Edition
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ISBN/ISSN
9780750349574
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1 online resource (various pagings) :illustrations (some color).
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