"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…
"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…
"Version: 20231101"--Title page verso.Includes bibliographical references.1. Machine learning in medicine--focus on radiology / Jie Lian, Fan Huang, Miaoru Zhang, Kei Shing Ng and Varut Vardhanabhuti -- 2. Machine learning : applications in ophthalmology / Charlene Yat Che Chau and Kendrick Co Shih -- 3. Artificial intelligence clinical applications of wearable technologies / Shichao Ma, Chun-Y…
"Version: 20251201"--Title page verso.Includes bibliographical references.1. Introduction -- 1.1. Motivation and scope -- 1.2. The promise of quantum machine learning -- 1.3. Quantum computing : a refresher -- 1.4. Machine learning foundations -- 1.5. Types of quantum machine learning2. Quantum information processing -- 2.1. Quantum computing -- 2.2. Dirac notation -- 2.3. Bloch sphere -- 2.4. …
"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 …
"Version: 20191201"--Title page verso.Includes bibliographical references.part I. Background. 1. Background knowledge -- 1.1. Imaging principles and a priori information2. Tomographic reconstruction based on a learned dictionary -- 2.1. Prior information guided reconstruction -- 2.2. Single-layer neural network -- 2.3. CT reconstruction via dictionary learning -- 2.4. Final remarks3. Artificial…
"Version: 20210204"--Title page verso.Includes bibliographical references.1. FTIR spectroscopy and water quality / Daniel Cozzolino -- 2. Fluorescence spectroscopy and applications in water quality monitoring / Cong Wang and Daoliang Li -- 3. Paper-based optical sensors for water analysis and monitoring / Bambang Kuswandi -- 4. Nanocomposite materials for water purification : synthesis, charact…