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10 ½ Stories of our Times
Two colleagues constantly chat about cricket, movies and women at work, much to the annoyance of The Mechanical Engineer. An astrologer has a strange visitor one evening, who is in a tearing hurry to know his Tomorrow, Today. The friendship between two housemates is disrupted by An Old Friend, who reconnects after a long time over a social networking site. An ardent Dravidfan is ridiculed by his playmates for his classical batting technique, but is determined to earn their respect. A boy narrates the story of The Lucky Day to the police who have come home to interrogate him. All this and more in 10½ Stories of Our Times. Set against the backdrop of an increasingly liberated, empowered and connected world, these hard-hitting stories bring to light the shifting paradigms of modern India, eager to break free from the warp of established conventions and traditional mindsets. The classic tales in this collection are full of drama and suspense. Peppered with humor and satire, the stories serve as a compelling commentary on the times we live in. Ten unique stories. Many interesting characters. Many shades of life… And, a half-a-story that will surely raise a few eyebrows.
Machine Learning Models and Architectures for Biomedical Signal Processing
Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates how efficient machine and deep learning models can support high-speed processors with reconfigurable architectures like graphic processing units (GPUs), Field programmable gate arrays (FPGAs), or any hybrid system. This great resource will be of interest to researchers working to increase the efficiency of hardware and architecture design for biomedical signal processing and signal processing techniques. - Covers the hardware architecture implementation of machine learning algorithms - Discusses the software implementation approach and the efficient hardware of machine learning application with FPGA - Presents the major design challenges and research potential in machine learning techniques
Modeling, Simulation, and Control of AI Robotics and Autonomous Systems
The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems. Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more.
High Performance Computing, Smart Devices and Networks
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.
Wood Polymer Composites
This book comprehensively covers the different topics of wood polymer composite materials mainly synthesis methods for the composite materials, various characterization techniques to study the superior properties and insights on potential advanced applications. It also discusses the chemistry, fabrication process, properties, applications, recycling and life cycle assessment of wood polymer composites. This is a useful reference source for both engineers and researchers working in composite materials science as well as the students attending materials science, physics, chemistry and engineering courses.
Machine Learning, Image Processing, Network Security and Data Sciences
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.
Brain Informatics
This book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing.
Advances in Systems Engineering
This book presents the proceedings of the 30th International Conference on Systems Engineering held at the University of Nevada, Las Vegas (UNLV), USA, during August 22-24, 2023. Research in the discipline of Systems Engineering is an important concept in the advancement of engineering and information sciences. Systems Engineering attempts to integrate many of the traditional engineering disciplines to solve large complex functioning engineering systems, dependent on components from all the disciplines. The research papers contained in these proceedings reflect the state of the art in systems engineering from all over the world and should serve as vital references to researchers to follow. T...
