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EBookClubs

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Book Frontiers of Signal Processing ICFSP 2016 2nd International Conference on

Download or read book Frontiers of Signal Processing ICFSP 2016 2nd International Conference on written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 2016 2nd International Conference on Frontiers of Signal Processing ICFSP

Download or read book 2016 2nd International Conference on Frontiers of Signal Processing ICFSP written by IEEE Staff and published by . This book was released on 2016-10-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of ICFSP 2016 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Signal Processing related fields This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration

Book Conference Proceedings of ICDLAIR2019

Download or read book Conference Proceedings of ICDLAIR2019 written by Meenakshi Tripathi and published by Springer Nature. This book was released on 2021-02-08 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics, held in Malaviya National Institute of Technology, Jawahar Lal Nehru Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017. The scope of this conference includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However, the organizing committee expressly encouraged work on the applications of DL and AI in the important fields of computer/electronics/electrical/mechanical/chemical/textile engineering, health care and agriculture, business and social media and other relevant domains. The conference welcomed papers on the following (but not limited to) research topics: · Deep Learning: Applications of deep learning in various engineering streams, neural information processing systems, training schemes, GPU computation and paradigms, human–computer interaction, genetic algorithm, reinforcement learning, natural language processing, social computing, user customization, embedded computation, automotive design and bioinformatics · Artificial Intelligence: Automatic control, natural language processing, data mining and machine learning tools, fuzzy logic, heuristic optimization techniques (membrane-based separation, wastewater treatment, process control, etc.) and soft computing · Robotics: Automation and advanced control-based applications in engineering, neural networks on low powered devices, human–robot interaction and communication, cognitive, developmental and evolutionary robotics, fault diagnosis, virtual reality, space and underwater robotics, simulation and modelling, bio-inspired robotics, cable robots, cognitive robotics, collaborative robotics, collective and social robots and humanoid robots It was a collaborative platform for academic experts, researchers and corporate professionals for interacting their research in various domain of engineering like robotics, data acquisition, human–computer interaction, genetic algorithm, sentiment analysis as well as usage of AI and advanced computation in various industrial challenges based applications such as user customization, augmented reality, voice assistants, reactor design, product formulation/synthesis, embedded system design, membrane-based separation for protecting environment along with wastewater treatment, rheological properties estimation for Newtonian and non-Newtonian fluids used in micro-processing industries and fault detection.

Book Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Download or read book Handbook of Research on Foundations and Applications of Intelligent Business Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2022-03-11 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Book Sustainable Intelligent Systems

Download or read book Sustainable Intelligent Systems written by Amit Joshi and published by Springer Nature. This book was released on 2021-03-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

Book Modern Techniques in Biosensors

Download or read book Modern Techniques in Biosensors written by Gorachand Dutta and published by Springer Nature. This book was released on 2021-01-04 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focusses on recent advances and different research issues in the biosensor technology and also presents theoretical, methodological, well-established and validated empirical work dealing with the technology. The book addresses challenges for the development of a point-of-care test platform. The book also describes printed chip-based assay (Lab-on-a-Chip, Lab-on-a-PCB) for rapid, inexpensive, multiplex detection of disease biomarkers in real samples. It aims to overcome existing barriers for Lab-on-a-Chip commercialization (lack of cost effective mass manufacturing methods, self-contained, fully autonomous operation and user-friendliness). Different advanced techniques including electrochemical, optical, mass, colorimetric and signal amplification strategies describe early stage disease diagnosis. The book gathers scientific and technological novelties and advancements already developed or under development in the academic and research communities. It covers a vast audience from basic science to engineering and technology experts and learners.

Book Wearable Systems Based Gait Monitoring and Analysis

Download or read book Wearable Systems Based Gait Monitoring and Analysis written by Shuo Gao and published by Springer Nature. This book was released on 2022-03-16 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.

Book Security and Privacy Preserving for IoT and 5G Networks

Download or read book Security and Privacy Preserving for IoT and 5G Networks written by Ahmed A. Abd El-Latif and published by Springer Nature. This book was released on 2021-10-09 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

Book Advances in Networks Intelligence and Computing

Download or read book Advances in Networks Intelligence and Computing written by Ashok Kumar and published by CRC Press. This book was released on 2024-05-24 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The year 2023 marks the 100th birth anniversary of E.F. Codd (19 August 1923 - 18 April 2003), a computer scientist, who while working for IBM invented the relational model for database management, the theoretical basis for relational databases and relational database management systems. He made other valuable contributions to computer science but the relational model, a very influential general theory of data management, remains his most mentioned, analyzed, and celebrated achievement. School of Computer Application, under the aegis of Lovely Professional University, pays homage to this great scientist of all times by hosting “CODD100 – International Conference on Networks, Intelligence and Computing (ICONIC-2023)”.

Book Analysing Data from Capacitive Floor Sensors for Human Gait Assessment Using Artificial Neural Networks

Download or read book Analysing Data from Capacitive Floor Sensors for Human Gait Assessment Using Artificial Neural Networks written by Raoul Hoffmann and published by Logos Verlag Berlin GmbH. This book was released on with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gait analysis is valuable in medical research and diagnosis, by delivering information that helps in choosing methods of intervention and rehabilitation that are beneficial for a patient. In gait laboratories, cameras or IMUs are often used to gather gait patterns. This thesis explores the possibility of using sensors below the floor as a gait data source. These sensors measure changes in the electrical capacitance to recognise steps. The construction is designed for indoor environments and is hidden under common flooring layer types. Therefore, it is very robust and suitable for practical use in daily clinical routine. A formal framework was developed to represent the measurements, considering the special characteristics of this floor sensor. The data were then used as input for artificial neural networks that were applied on classification and regression tasks. In a feature construction and extraction approach, the spatial spread of footfalls was derived and used with a feed-forward neural network. Then, in a feature learning approach, the time series data was transformed into a local receptive field, and used with a recurrent neural network. Three studies were conducted for the goals to distinguish between people with low and high risk of falling, to estimate age, and to recognise walking challenges as an external gait intervention. The combination of a robust and hidden floor sensor and machine learning opens up the prospect of future applications in health and care.