Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments
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Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments
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Author : Marcin Woźniak
language : en
Publisher: MDPI
Release Date : 2021-09-01
Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments written by Marcin Woźniak and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.
Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments
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Author : Marcin Woźniak
language : en
Publisher:
Release Date : 2021
Advanced Computational Intelligence For Object Detection Feature Extraction And Recognition In Smart Sensor Environments written by Marcin Woźniak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland -
Iot And Advanced Intelligence Computation For Smart Agriculture
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Author : Mourade Azrour
language : en
Publisher: CRC Press
Release Date : 2025-08-04
Iot And Advanced Intelligence Computation For Smart Agriculture written by Mourade Azrour and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-04 with Technology & Engineering categories.
Smart agriculture is an approach to maintaining nature without compromising the basic needs of future generations while at the same time improving the efficiency of farming. The main achievements of smart agriculture in terms of sustainable agriculture are crop rotation, controlling nutrient deficiencies in crops, pest and disease control, recycling, and water harvesting, leading to a safer environment overall. Living organisms depend on the nature of biodiversity and are exposed to pollution due to waste emissions, use of fertilizers and pesticides, degraded dead plants, and so on. The emission of greenhouse gases affects plants, animals, humans, and the environment; hence, this necessitates a better environment for living organisms. The purpose of this book is to provide a comprehensive overview of the latest advancements, challenges, and potential applications of artificial intelligence (AI) technology and the Internet of Things (IoT) in the future of intelligent agriculture. The book is primarily focused on equipping younger researchers, graduates, and professionals in the industry with the necessary knowledge to understand the advantages of AI technology, machine learning, and data analytics methods in improving current agricultural practices. Key features include the following: The book showcases the latest advancements in AI and smart agriculture technologies The text emphasizes sustainable practices supported by AI, highlighting how technology can enhance productivity while minimizing environmental impact Readers will learn how to harness big data and analytics to drive informed decision-making and optimize their agricultural yields
Artificial Intelligence For Smart Healthcare
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Author : Parul Agarwal
language : en
Publisher: Springer Nature
Release Date : 2023-06-09
Artificial Intelligence For Smart Healthcare written by Parul Agarwal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-09 with Technology & Engineering categories.
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.
Smart Sensors And Systems
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Author : Chong-Min Kyung
language : en
Publisher: Springer
Release Date : 2016-10-16
Smart Sensors And Systems written by Chong-Min Kyung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-16 with Technology & Engineering categories.
This book describes the technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.
Artificial Intelligence And Data Science In Environmental Sensing
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Author : Mohsen Asadnia
language : en
Publisher: Academic Press
Release Date : 2022-02-09
Artificial Intelligence And Data Science In Environmental Sensing written by Mohsen Asadnia and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Computers categories.
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. - Presents tools, connections and proactive solutions to take sustainability programs to the next level - Offers a practical guide for making students proficient in modern electronic data analysis and graphics - Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery
Advanced Sensing And Robotics Technologies In Smart Agriculture
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Author : Yuliang Yun
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Advanced Sensing And Robotics Technologies In Smart Agriculture written by Yuliang Yun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Technology & Engineering categories.
This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.
Ai S Role In Enhanced Automotive Safety
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Author : Vyas, Vikas
language : en
Publisher: IGI Global
Release Date : 2025-05-01
Ai S Role In Enhanced Automotive Safety written by Vyas, Vikas and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Technology & Engineering categories.
Artificial intelligence (AI) plays a transformative role in enhancing automotive safety, revolutionizing how vehicles prevent accidents and protect passengers. By integrating advanced sensors, real-time data analysis, and machine learning algorithms, AI enables cars to detect hazards, predict potential collisions, and respond fast. From driver-assistance features like automatic emergency braking and lane assistance, to the development of fully autonomous vehicles, AI reshapes the landscape of road safety. As technology evolves, AI's role in minimizing human error and improving safe, smart transportation begs further exploration. AI's Role in Enhanced Automotive Safety explores AI-driven advancements in automotive safety, highlights possible obstacles to widespread adoption, and offers policy suggestions. It examines the possible impacts of AI-driven technology on vehicle safety. This book covers topics such as deep learning, neural networks, and sensor technology, and is a useful resource computer, civil, and mechanical engineers, automotive business owners, urban developers, academicians, researchers, and data scientists.
Artificial Intelligence For Autonomous Vehicles
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Author : Sathiyaraj Rajendran
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-19
Artificial Intelligence For Autonomous Vehicles written by Sathiyaraj Rajendran and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.
Smart Wearable Devices In Healthcare Methodologies Applications And Algorithms
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Author : Chang Yan
language : en
Publisher: Frontiers Media SA
Release Date : 2023-12-14
Smart Wearable Devices In Healthcare Methodologies Applications And Algorithms written by Chang Yan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Science categories.
Wearable health devices have been an emerging technology that enables an ambulatory acquisition of physiological signals to monitor health status over a long time (hours/days/weeks/years) inside and outside clinical environments. Big data and deep learning, in particular, are receiving a lot of attention in this rapidly growing digital health community. A key benefit of deep learning is to analyze and learn massive amounts of data, which makes it especially valuable in healthcare since raw data is largely gathered from personalized wearable health devices. A wide range of users may benefit from unobstructed and even remote monitoring of pertinent or vital signs, which makes it easier to detect life-threatening diseases early, track the progression of pathologies and stress levels, evaluate the efficacy of therapies, provide low-cost and reliable diagnoses, etc. Today’s personal health devices have provided an amazing insight into people’s health and wellness, which allow clinicians to use these smart wearables to collect and analyze measuring data like electroencephalogram (EEG), electrocardiogram (ECG or EKG), respiration, heart rate, temperature level, blood oxygen, and blood pressure for health monitoring or clinical trials. This Research Topic mainly focuses on the technical revolution in wearable health systems, which aims to design more smart and useful wearables, contributing to a substantial change in the methodologies, applications, and algorithms of machine learning for wearable health devices. With the help of deep learning and sensor fusion capabilities from wearable health platforms, this data will be used more effectively, which can help to construct smart, novel, specific solutions to improve the quality of healthcare and capabilities of utilizing new deep learning technologies.