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Sinha G Cognitive Sensors Intelligent Sensing, Data Analysis App Vol 1 2023
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Cognitive sensors and associated Artificial Intelligence (AI) and algorithms are most important components of cognitive science research and studies. This book provides a critical review of the emerging themes of cognitive sensors, how it functions and its applications in a range of disciplines. Volume I includes Sensor Physics, Imaging, Modalities, Pre-processing of images, Problems and Issues in Cognitive Sensing techniques, Cognitive Sensors and IoTs, Psychological, Philosophical and Linguistic Studies of Cognitive Science; Humanoid robots, Industrial Robots and intelligence, Cognitive Sensor Network and applications. This book presents a brilliant introduction to Cognitive Sensors for industrial and academic researchers in sensor science and technology, smart systems, Internet of Things, and biomedical engineering. Part of IOP Series in Sensors and Sensor Systems. Cognitive sensors have become essential parts of a number of Internet of Things (IoT) devices and modern gadgets. In fact, the sensors which behave and act smartly in all modern applications are cognitive sensors. Sensors that have the ability to understand and interpret the data they sense, with the help of signal processing and machine learning techniques, are known as cognitive sensors. Cognitive sensors are heavily used in healthcare applications, smart city smart transport, smart manufacturing, smart automobiles, and a number of other such applications in which automation is achieved using sensor-based data and the analysis of sensor-based data using Artificial Intelligence (AI)-based approaches. In the modern world, computer vision is dominating all advances and their applications in science, engineering, and technology; for example, computer-aided diagnosis, industrial robotics, driverless cars, the brain–computer interface (BCI), human-computer interaction (HCI), telemedicine, etc. are emerging areas in which computer vision plays a significant role in implementing, simulating, and improving their performance. Cognitive Science is actually a multidisciplinary area of research that mainly covers artificial intelligence, neuroscience, mathematics, philosophy, psychology, linguistics, which are the building blocks of humanoid robots, automated diagnosis, self-driving cars, etc. Cognitive sensors are most important components of cognitive science research and studies. For example, brain images such as those produced using electroencephalography (EEG) dominate among a number of other brain signal modalities; they are used in the analysis and study of various types of brain disorder and disability. In the computing part of cognitive science related to physics and images, a number of signal processing and soft computing techniques are used to make images for suitable applications. Cognitive sensors are basically smart and intelligent sensors that have the ability to exploit cognitive aspects of science and engineering, namely understanding, decision-making, improving, adapting to requirements, computing, etc. Preface 1 Introduction to the cognitive Internet of Things 2 Internet of Things-based cognitive wireless sensor networks: applications, merits, and demerits 3 Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design 4 The use of the cognitive Internet of Things for smart sensing applications 5 Design challenges and issues in cognitive sensor networks: a mitigation and deployment perspective 6 Cognitive wireless sensor networks 7 Applications and challenges of IoT-based smart healthcare systems that use cognitive sensors: an overview 8 Redundancy issues in wireless sensor networks 9 Sensor-based devices and their applications in smart healthcare systems 10 Electromagnetic fields and the effects of Internet of Things infrastructure on human health 11 Cognitive sensing in the brain–computer interface: a comprehensive study
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