Quantum Dot Cellular Automata Circuits For Nanocomputing Applications


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Quantum-Dot Cellular Automata Circuits for Nanocomputing Applications


Quantum-Dot Cellular Automata Circuits for Nanocomputing Applications

Author: Trailokya Sasamal

language: en

Publisher: CRC Press

Release Date: 2023-07-31


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This book provides a composite solution for optimal logic designs for Quantum-Dot Cellular Automata based circuits. It includes the basics of new logic functions and novel digital circuit designs, quantum computing with QCA, new trends in quantum and quantum-inspired algorithms and applications, and algorithms to support QCA designers. Futuristic Developments in Quantum-Dot Cellular Automata Circuits for Nanocomputing includes QCA-based new nanoelectronics architectures that help in improving the logic computation and information flow at physical implementation level. The book discusses design methodologies to obtain an optimal layout for some of the basic logic circuits considering key metrics such as wire delays, cell counts, and circuit area that help in improving the logic computation and information flow at physical implementation level. Examines several challenges toward QCA technology like clocking mechanism, floorplan which would facilitate manufacturability, Electronic Design Automation (EDA) tools for design and fabrication like simulation, synthesis, testing etc. The book is intended for students and researchers in electronics and computer disciplines who are interested in this rapidly changing field under the umbrella of courses such as emerging nanotechnologies and its architecture, low-power digital design. The work will also help the manufacturing companies/industry professionals, in nanotechnology and semiconductor engineers in the development of low power quantum computers.

Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications


Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications

Author: Ravichander Janapati

language: en

Publisher: CRC Press

Release Date: 2025-08-19


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This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science. Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body. The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Laser Applications in Manufacturing


Laser Applications in Manufacturing

Author: Pankaj Kumar

language: en

Publisher: CRC Press

Release Date: 2023-12-22


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This book introduces the emerging areas of laser-based manufacturing such as additive manufacturing (AM) of metal matrix composites (MMCs), joining of hard-to-weld superalloys, damage-free machining of fiber-reinforced composites, surface properties enhancement using cladding techniques, and modeling and simulation of laser beam manufacturing techniques. Laser Applications in Manufacturing provides a quick guide for researchers and academicians to recent advancements in the development of powder-based MMCs manufactured using AM technology. This book: shows recent developments in functionally graded sheets or laminates and fabrication of fiber-reinforced composite using sheet lamination printing lists recent developments in the joining of dissimilar materials in diverse applications such as hybrid structures and lightweight components for increased performance and functionality includes many recent developments in machining carbon fiber, glass fiber, and natural fiber composite laminates for investigations of delamination and surface quality characteristics showcases different aspects of surface alloying of miniature components, hard and soft composite coating for various applications Laser Applications in Manufacturing is recommended for researchers working on fabrication of numerous new and novel materials. The book serves as a resource for scientists and engineers working in laser-based manufacturing techniques who want to learn about the most up-to-date research.