Generalization With Deep Learning For Improvement On Sensing Capability
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Generalization With Deep Learning For Improvement On Sensing Capability
Author | : Zhenghua Chen,Min Wu,Xiaoli Li |
Publsiher | : World Scientific |
Total Pages | : 327 |
Release | : 2021-04-07 |
Genre | : Computers |
ISBN | : 9789811218859 |
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Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities.In this edited volume, we aim to narrow the gap between humans and machines by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data.
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education IC ICAIE 2022
Author | : Bob Fox,Chuan Zhao,Marcus T. Anthony |
Publsiher | : Springer Nature |
Total Pages | : 1656 |
Release | : 2023-01-20 |
Genre | : Computers |
ISBN | : 9789464630404 |
Download Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education IC ICAIE 2022 Book in PDF, Epub and Kindle
This is an open access book. The 2022 3rd International Conference on Artificial Intelligence and Education(ICAIE 2022) will be held in Chengdu, China during June 24-26, 2022. The meeting focused on the new trends in the development of "artificial intelligence" and "education" under the new situation, and jointly discussed how to empower and promote the high-quality development of "artificial intelligence" and "education". An ideal platform to share views and experiences with industry experts. The conference invites experts and scholars in the field to conduct wonderful exchanges based on their own research results based on the development of the times. The themes are around artificial intelligence technology and applications; intelligent and knowledge-based systems; information-based education; intelligent learning; advanced information theory and neural network technology ; software computing and algorithms; intelligent algorithms and computing and many other topics.
Compressed Sensing and Its Applications
Author | : Holger Boche,Giuseppe Caire,Robert Calderbank,Gitta Kutyniok,Rudolf Mathar,Philipp Petersen |
Publsiher | : Birkhäuser |
Total Pages | : 305 |
Release | : 2019-08-13 |
Genre | : Mathematics |
ISBN | : 9783319730745 |
Download Compressed Sensing and Its Applications Book in PDF, Epub and Kindle
The chapters in this volume highlight the state-of-the-art of compressed sensing and are based on talks given at the third international MATHEON conference on the same topic, held from December 4-8, 2017 at the Technical University in Berlin. In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. Specific topics covered include: Quantized compressed sensing Classification Machine learning Oracle inequalities Non-convex optimization Image reconstruction Statistical learning theory This volume will be a valuable resource for graduate students and researchers in the areas of mathematics, computer science, and engineering, as well as other applied scientists exploring potential applications of compressed sensing.
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Author | : Yakoub Bazi,Edoardo Pasolli |
Publsiher | : MDPI |
Total Pages | : 438 |
Release | : 2021-06-15 |
Genre | : Science |
ISBN | : 9783036509860 |
Download Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images Book in PDF, Epub and Kindle
The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Author | : Taskin Kavzoglu |
Publsiher | : MDPI |
Total Pages | : 256 |
Release | : 2021-01-19 |
Genre | : Science |
ISBN | : 9783039438273 |
Download Artificial Neural Networks and Evolutionary Computation in Remote Sensing Book in PDF, Epub and Kindle
Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems. For this purpose, evolutionary algorithms become the best solution for analysis. This book includes eleven high-quality papers, selected after a careful reviewing process, addressing current remote sensing problems. In the chapters of the book, superstructural optimization was suggested for the optimal design of feedforward neural networks, CNN networks were deployed for a nanosatellite payload to select images eligible for transmission to ground, a new weight feature value convolutional neural network (WFCNN) was applied for fine remote sensing image segmentation and extracting improved land-use information, mask regional-convolutional neural networks (Mask R-CNN) was employed for extracting valley fill faces, state-of-the-art convolutional neural network (CNN)-based object detection models were applied to automatically detect airplanes and ships in VHR satellite images, a coarse-to-fine detection strategy was employed to detect ships at different sizes, and a deep quadruplet network (DQN) was proposed for hyperspectral image classification.
Applications in Electronics Pervading Industry Environment and Society
Author | : Sergio Saponara,Alessandro De Gloria |
Publsiher | : Springer Nature |
Total Pages | : 340 |
Release | : 2022-04-09 |
Genre | : Technology & Engineering |
ISBN | : 9783030954987 |
Download Applications in Electronics Pervading Industry Environment and Society Book in PDF, Epub and Kindle
This book provides a thorough overview of cutting-edge research on electronics applications relevant to industry, the environment, and society at large. It covers a broad spectrum of application domains, from automotive to space and from health to security, while devoting special attention to the use of embedded devices and sensors for imaging, communication and control. The volume is based on the 2021 ApplePies Conference, held online in September 2021, which brought together researchers and stakeholders to consider the most significant current trends in the field of applied electronics and to debate visions for the future. Areas addressed by the conference included information communication technology; biotechnology and biomedical imaging; space; secure, clean and efficient energy; the environment; and smart, green and integrated transport. As electronics technology continues to develop apace, constantly meeting previously unthinkable targets, further attention needs to be directed toward the electronics applications and the development of systems that facilitate human activities. This book, written by industrial and academic professionals, represents a valuable contribution in this endeavor.
Remote Sensing Intelligent Interpretation for Geology
Author | : Weitao Chen,Xianju Li,Xuwen Qin,Lizhe Wang |
Publsiher | : Springer Nature |
Total Pages | : 240 |
Release | : 2024-01-03 |
Genre | : Computers |
ISBN | : 9789819989973 |
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This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
Pattern Recognition and Artificial Intelligence
Author | : Mounîm El Yacoubi,Eric Granger,Pong Chi Yuen,Umapada Pal,Nicole Vincent |
Publsiher | : Springer Nature |
Total Pages | : 537 |
Release | : 2022-05-28 |
Genre | : Computers |
ISBN | : 9783031092824 |
Download Pattern Recognition and Artificial Intelligence Book in PDF, Epub and Kindle
This two-volume set constitutes the proceedings of the Third International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2022, which took place in Paris, France, in June 2022. The 98 full papers presented were carefully reviewed and selected from 192 submissions. The papers present new advances in the field of pattern recognition and artificial intelligence. They are organized in topical sections as follows: pattern recognition; computer vision; artificial intelligence; big data.