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This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.
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Since its inception by von Neumann 70 years ago, the theory of operator algebras has become a rapidly developing area of importance for the understanding of many areas of mathematics and theoretical physics. Accessible to the non-specialist, this first part of a three-volume treatise provides a clear, carefully written survey that emphasizes the theory's analytical and topological aspects.
This book covers the whole range of gas sensing aspects starting from basics, synthesis, processing, characterization, and application developments. All sub-topics within the domain of gas sensors such as active materials, novel nanomaterials, working mechanisms, fabrication techniques, computational approach, and development of microsensors, and latest advancements such as the Internet of Things (IoT) in gas sensors, and nanogenerators, are explained as well. Related manufacturing sections and proposed direction of future research are also reviewed. Features: Covers detailed state-of-the-art specific chemiresistive sensing materials. Presents novel nanomaterial platforms and concepts for resistive gas sensing. Reviews pertinent aspects of smart sensors and IoT sensing. Explains nanotechnology-enabled experimental findings, and future directions of smart gas sensing technology. Explores implication of latest advancements such as IoT in gas sensors, and nanogenerators. This book is aimed at academic researchers and professionals in sensors and actuators, nanotechnology, and materials science.