Generalization With Deep Learning For Improvement On Sensing Capability

Author : Zhenghua Chen,Min Wu,Xiaoli Li
Publisher : World Scientific
Page : 327 pages
File Size : 49,8 Mb
Release : 2021-04-07
Category : Computers
ISBN : 9789811218859

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Generalization With Deep Learning: For Improvement On Sensing Capability by Zhenghua Chen,Min Wu,Xiaoli Li Pdf

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.

Author : Bob Fox,Chuan Zhao,Marcus T. Anthony
Publisher : Springer Nature
Page : 1656 pages
File Size : 55,6 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9789464630404

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Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) by Bob Fox,Chuan Zhao,Marcus T. Anthony Pdf

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.

Author : Holger Boche,Giuseppe Caire,Robert Calderbank,Gitta Kutyniok,Rudolf Mathar,Philipp Petersen
Publisher : Birkhäuser
Page : 305 pages
File Size : 44,8 Mb
Release : 2019-08-13
Category : Mathematics
ISBN : 9783319730745

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Compressed Sensing and Its Applications by Holger Boche,Giuseppe Caire,Robert Calderbank,Gitta Kutyniok,Rudolf Mathar,Philipp Petersen Pdf

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.

Author : Yakoub Bazi,Edoardo Pasolli
Publisher : MDPI
Page : 438 pages
File Size : 40,9 Mb
Release : 2021-06-15
Category : Science
ISBN : 9783036509860

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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images by Yakoub Bazi,Edoardo Pasolli Pdf

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.

Author : Taskin Kavzoglu
Publisher : MDPI
Page : 256 pages
File Size : 54,8 Mb
Release : 2021-01-19
Category : Science
ISBN : 9783039438273

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Artificial Neural Networks and Evolutionary Computation in Remote Sensing by Taskin Kavzoglu Pdf

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.

Author : Sergio Saponara,Alessandro De Gloria
Publisher : Springer Nature
Page : 340 pages
File Size : 54,6 Mb
Release : 2022-04-09
Category : Technology & Engineering
ISBN : 9783030954987

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Applications in Electronics Pervading Industry, Environment and Society by Sergio Saponara,Alessandro De Gloria Pdf

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.

Author : Weitao Chen,Xianju Li,Xuwen Qin,Lizhe Wang
Publisher : Springer Nature
Page : 240 pages
File Size : 47,9 Mb
Release : 2024-01-03
Category : Computers
ISBN : 9789819989973

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Remote Sensing Intelligent Interpretation for Geology by Weitao Chen,Xianju Li,Xuwen Qin,Lizhe Wang Pdf

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.

Author : Mounîm El Yacoubi,Eric Granger,Pong Chi Yuen,Umapada Pal,Nicole Vincent
Publisher : Springer Nature
Page : 537 pages
File Size : 43,7 Mb
Release : 2022-05-28
Category : Computers
ISBN : 9783031092824

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Pattern Recognition and Artificial Intelligence by Mounîm El Yacoubi,Eric Granger,Pong Chi Yuen,Umapada Pal,Nicole Vincent Pdf

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.

Author : Danilo Tardioli,Vicente Matellán,Guillermo Heredia,Manuel F. Silva,Lino Marques
Publisher : Springer Nature
Page : 634 pages
File Size : 54,9 Mb
Release : 2022-11-18
Category : Technology & Engineering
ISBN : 9783031210624

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ROBOT2022: Fifth Iberian Robotics Conference by Danilo Tardioli,Vicente Matellán,Guillermo Heredia,Manuel F. Silva,Lino Marques Pdf

This book contains a selection of papers accepted for presentation and discussion at ROBOT 2022—Fifth Iberian Robotics Conference, held in Zaragoza, Spain, on November 23-25, 2022. ROBOT 2022 is part of a series of conferences that are a joint organization of SEIDROB—Sociedad Española para la Investigación y Desarrollo en Robótica/Spanish Society for Research and Development in Robotics, and SPR—Sociedade Portuguesa de Robótica/Portuguese Society for Robotic. ROBOT 2022 builds upon several previous successful events, including three biennial workshops and the four previous editions of the Iberian Robotics Conference, and is focused on presenting the research and development of new applications, on the field of Robotics, in the Iberian Peninsula, although open to research and delegates from other countries. ROBOT 2022 featured four plenary talks on state-of-the-art subjects on robotics and 15 special sessions, plus a main/general robotics track. In total, after a careful review process, 98 high-quality papers were selected for publication, with a total of 219 unique authors, from 22 countries.

Author : Jiangang Liu,Zhenjiang Zhou,Bo Li
Publisher : Frontiers Media SA
Page : 274 pages
File Size : 55,5 Mb
Release : 2024-02-12
Category : Science
ISBN : 9782832544303

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Remote Sensing for Field-based Crop Phenotyping by Jiangang Liu,Zhenjiang Zhou,Bo Li Pdf

Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments

Author : Akira Hirose,Seiichi Ozawa,Kenji Doya,Kazushi Ikeda,Minho Lee,Derong Liu
Publisher : Springer
Page : 651 pages
File Size : 47,5 Mb
Release : 2016-09-30
Category : Computers
ISBN : 9783319466750

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Neural Information Processing by Akira Hirose,Seiichi Ozawa,Kenji Doya,Kazushi Ikeda,Minho Lee,Derong Liu Pdf

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Author : Md Atiqur Rahman Ahad,Atsushi Inoue
Publisher : Springer Nature
Page : 416 pages
File Size : 50,7 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9783030754907

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Vision, Sensing and Analytics: Integrative Approaches by Md Atiqur Rahman Ahad,Atsushi Inoue Pdf

This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integration of those. Such integration has brought to scientists and engineers a new approach —the integrative approach. This offers far more rapid development and scalable architecting when comparing to the traditional hardcore developmental approach. Featuring biomedical and healthcare challenges including COVID-19, we present a collection of carefully selective cases with significant added- values as a result of integrations, e.g., sensing with AI, analytics with different data sources, and comprehensive monitoring with many different sensors, while sustaining its readability.

Author : Chowdhary, Chiranji Lal,Swain, Basanta Kumar,Kumar, Vijay
Publisher : IGI Global
Page : 293 pages
File Size : 53,6 Mb
Release : 2023-09-07
Category : Computers
ISBN : 9781668486030

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Investigations in Pattern Recognition and Computer Vision for Industry 4.0 by Chowdhary, Chiranji Lal,Swain, Basanta Kumar,Kumar, Vijay Pdf

The approaches to computer vision have undergone a long journey in recent years, but still, innovations are continuing with leverage increases in computing power, new data availability, and new ways to leverage machine-learning algorithms. As a branch of artificial intelligence (AI), computer vision brings meaningful information from images and videos. Such innovations help communicators to run better campaigns, amplify messages further, and stand out in a noisy, crowded marketplace. Investigations in Pattern Recognition and Computer Vision for Industry 4.0 provides a holistic discussion of the new practical applications and use cases of computer vision and communications. Covering topics such as social media filters, mobile computer vision, and AI-powered image editing, this book is ideal for academicians, researchers, postgraduate students, professional data analysts, research and development centers, organizations dealing with healthcare informatics, and IT firms.

Author : Wei Wang
Publisher : Springer Nature
Page : 607 pages
File Size : 42,8 Mb
Release : 2024-05-22
Category : Electronic
ISBN : 9789819975457

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Artificial Intelligence in China by Wei Wang Pdf

Author : Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian
Publisher : MDPI
Page : 442 pages
File Size : 51,8 Mb
Release : 2020-03-27
Category : Science
ISBN : 9783039283828

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Remote Sensing Based Building Extraction by Mohammad Awrangjeb,Xiangyun Hu,Bisheng Yang,Jiaojiao Tian Pdf

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D