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5Table of Contents: “...16.6 Construction of the SEM -- 16.7 Factors Determining Image Quality -- 16.8 Summary -- 16.9 Exercises -- Appendix A: Process-Based Parallelism using Joblib -- A.1 Introduction to Process-Based Parallelism -- A.2 Introduction to Joblib -- A.3 Parallel Examples -- Appendix B: Parallel Programming using MPI4Py -- B.1 Introduction to MPI -- B.2 Need for MPI in Python Image Processing -- B.3 Introduction to MPI4Py -- B.4 Communicator -- B.5 Communication -- B.5.1 Point-to-Point Communication -- B.5.2 Collective Communication -- B.6 Calculating the Value of PI -- Appendix C: Introduction to ImageJ -- C.1 Introduction -- C.2 ImageJ Primer -- Appendix D: Matlab® and Numpy Functions -- D.1 Introduction -- Bibliography -- Index....”
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6Table of Contents: “...16.6 Construction of the SEM -- 16.7 Factors Determining Image Quality -- 16.8 Summary -- 16.9 Exercises -- Appendix A: Process-Based Parallelism using Joblib -- A.1 Introduction to Process-Based Parallelism -- A.2 Introduction to Joblib -- A.3 Parallel Examples -- Appendix B: Parallel Programming using MPI4Py -- B.1 Introduction to MPI -- B.2 Need for MPI in Python Image Processing -- B.3 Introduction to MPI4Py -- B.4 Communicator -- B.5 Communication -- B.5.1 Point-to-Point Communication -- B.5.2 Collective Communication -- B.6 Calculating the Value of PI -- Appendix C: Introduction to ImageJ -- C.1 Introduction -- C.2 ImageJ Primer -- Appendix D: Matlab® and Numpy Functions -- D.1 Introduction -- Bibliography -- Index....”
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11Published 2024Table of Contents: “...Front Cover -- Phase Change Materials-Based Photonic Computing -- Copyright Page -- Contents -- List of contributors -- 1 Introduction to phase change photonics -- 1.1 Background -- 1.1.1 Phase change materials and computing -- 1.1.2 Optoelectronic applications of phase change materials -- 1.1.3 Photonics-a primer -- 1.1.4 How this book is organized -- References -- 2 Non von Neumann computing concepts -- 2.1 Introduction -- 2.2 Essential advances -- 2.2.1 Many core architecture -- 2.2.2 Processing in memory -- 2.2.3 Nonvolatile memory -- 2.3 Phase change memory -- 2.3.1 Technology overview -- 2.3.2 Key computational properties -- 2.3.2.1 Multilevel memory states -- 2.3.2.2 Accumulative behavior -- 2.3.2.3 Nonvolatility of binary states -- 2.3.3 Nonidealities -- 2.4 Computational paradigms -- 2.4.1 Deep learning: a use case of multistate property -- 2.4.2 Neuromorphic engineering: a use case of accumulative property -- 2.4.3 Hyperdimensional computing: a use case of nonvolatile binary states property -- 2.5 Outlook -- References -- 3 Photonic computing: an introduction -- 3.1 Introduction -- 3.2 Why photonics in computing -- 3.2.1 Bandwidth -- 3.2.2 Speed -- 3.2.3 Latency -- 3.2.4 Energy efficiency -- 3.3 Photonic neural networks -- 3.3.1 Neuron models -- 3.4 Toward scalable neural networks -- 3.5 Synapse and its optical implementation -- 3.6 Interconnection protocols for matrix multiplication -- 3.6.1 Broadcast-and-weight -- 3.6.2 Coherent -- 3.6.3 Free-space diffractive network -- 3.7 Weight tuning mechanisms and devices -- 3.8 Other photonic computing models -- 3.8.1 Photonic reservoir computing -- 3.8.2 Photonic Ising machine -- 3.8.3 Photonic quantum computing -- 3.9 Challenges and current areas of progress -- 3.9.1 Photonic-electronic integration -- 3.9.2 New materials and devices -- 3.9.3 Algorithms -- References....”
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14Published 2022Table of Contents: “...11.5.3.2 Model Based on Geometric Progression (G.P.) -- 11.5.3.3 Model for Stay At Home -- 11.5.4 Discussion -- References -- 12 Application of Mathematical Modeling in Various Fields in Light of Fuzzy Logic -- 12.1 Introduction -- 12.1.1 Mathematical Modeling -- 12.1.2 Principles of Mathematical Models -- 12.2 Fuzzy Logic -- 12.2.1 Fuzzy Cognitive Maps & -- Induced Fuzzy Cognitive Maps -- 12.2.2 Fuzzy Cluster Means -- 12.3 Literature Review -- 12.4 Applications of Fuzzy Logic -- 12.4.1 Controller of Temperature -- 12.4.2 Usage of Fuzzy Logic in a Washing Machine -- 12.4.3 Air Conditioner -- 12.4.4 Aeronautics -- 12.4.5 Automotive Field -- 12.4.6 Business -- 12.4.7 Finance -- 12.4.8 Chemical Engineering -- 12.4.9 Defence -- 12.4.10 Electronics -- 12.4.11 Medical Science and Bioinformatics -- 12.4.12 Robotics -- 12.4.13 Signal Processing and Wireless Communication -- 12.4.14 Transportation Problems -- 12.5 Conclusion -- References -- 13 A Mathematical Approach Using Set & -- Sequence Similarity Measure for Item Recommendation Using Sequential Web Data -- 13.1 Introduction -- 13.2 Measures of Assessment for Recommendation Engines -- 13.3 Related Work -- 13.4 Methodology/Research Design -- 13.4.1 Web Data Collection Through Web Logs -- 13.4.2 Web User Sessions Classification -- 13.5 Finding or Result -- 13.6 Conclusion and Future Work -- References -- 14 Neural Network and Genetic Programming Based Explicit Formulations for Shear Capacity Estimation of Adhesive Anchors -- 14.1 General Introduction -- 14.2 Research Significance -- 14.3 Biological Nervous System -- 14.4 Constructing Artificial Neural Network Model -- 14.5 Genetic Programming (GP) -- 14.6 Administering Genetic Programming Scheme -- 14.7 Genetic Programming In Details -- 14.8 Genetic Expression Programming -- 14.9 Developing Model With Genexpo Software....”
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19Published 2004“...Why structured parallel programming matters /...”
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