2021 Ieee Statistical Signal Processing Workshop Ssp

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2021 IEEE Statistical Signal Processing Workshop (SSP)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2021-07-11
Category : Electronic
ISBN : 1728157684

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2021 IEEE Statistical Signal Processing Workshop (SSP) by IEEE Staff Pdf

The scope of the workshop includes statistical signal processing theory, methods and algorithms, and their applications to a variety of areas

2023 IEEE Statistical Signal Processing Workshop (SSP)

Author : IEEE Staff
Publisher : Unknown
Page : 0 pages
File Size : 50,8 Mb
Release : 2023-07-02
Category : Electronic
ISBN : 1665452463

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2023 IEEE Statistical Signal Processing Workshop (SSP) by IEEE Staff Pdf

The scope of the workshop includes statistical signal processing theory, methods and algorithms, and their applications to a variety of areas

2018 IEEE Statistical Signal Processing Workshop (SSP)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 2018-06-10
Category : Electronic
ISBN : 153861572X

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2018 IEEE Statistical Signal Processing Workshop (SSP) by IEEE Staff Pdf

SSP 2018 is the 20th in a series of unique meetings that bring members of the IEEE Signal Processing Society together with researchers from allied fields such as bioinformatics, communications, machine learning, and statistics The scope of the workshop includes basic theory, methods and algorithms, and applications SSP is a single track workshop that includes invited talks, demonstrations and oral and poster presentations of refereed papers

2016 IEEE Statistical Signal Processing Workshop (SSP)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 53,5 Mb
Release : 2016-06-26
Category : Electronic
ISBN : 1467378046

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2016 IEEE Statistical Signal Processing Workshop (SSP) by IEEE Staff Pdf

The SSP workshop aims at bringing together researchers form the academia and the industry working on the theory and applications of statistically intensive methods for the processing of signals and data The potential audience includes not only engineers, but also applied mathematicians, statisticians and physicists that apply statistical algorithms in their respective fields Contributions ranging from the theoretical aspects of algorithm design and analysis to applications to real world problems are encouraged

Conference Proceedings

Author : Aniket Hemant Sonje
Publisher : Shashwat Publication
Page : 68 pages
File Size : 41,7 Mb
Release : 2024-04-01
Category : Computers
ISBN : 9789360878337

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Conference Proceedings by Aniket Hemant Sonje Pdf

This book comprises the proceedings of the Encryptcon International Research Conference on Cybersecurity, held at the Indian Institute of Technology Madras, hosted by Team Shaastra. The conference took place on January 6th and 7th, 2024.

Neural Information Processing

Author : Biao Luo,Long Cheng,Zheng-Guang Wu,Hongyi Li,Chaojie Li
Publisher : Springer Nature
Page : 614 pages
File Size : 42,9 Mb
Release : 2023-11-13
Category : Computers
ISBN : 9789819980796

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Neural Information Processing by Biao Luo,Long Cheng,Zheng-Guang Wu,Hongyi Li,Chaojie Li Pdf

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.

Deep Learning and Its Applications for Vehicle Networks

Author : Fei Hu,Iftikhar Rasheed
Publisher : CRC Press
Page : 357 pages
File Size : 41,9 Mb
Release : 2023-05-12
Category : Computers
ISBN : 9781000877236

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Deep Learning and Its Applications for Vehicle Networks by Fei Hu,Iftikhar Rasheed Pdf

Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

Author : Pablo García Bringas,Hilde Pérez García,Francisco Javier Martinez-de-Pison,José Ramón Villar Flecha,Alicia Troncoso Lora,Enrique A. de la Cal,Álvaro Herrero,Francisco Martínez Álvarez,Giuseppe Psaila,Héctor Quintián,Emilio S. Corchado Rodriguez
Publisher : Springer Nature
Page : 676 pages
File Size : 54,7 Mb
Release : 2022-10-11
Category : Technology & Engineering
ISBN : 9783031180507

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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) by Pablo García Bringas,Hilde Pérez García,Francisco Javier Martinez-de-Pison,José Ramón Villar Flecha,Alicia Troncoso Lora,Enrique A. de la Cal,Álvaro Herrero,Francisco Martínez Álvarez,Giuseppe Psaila,Héctor Quintián,Emilio S. Corchado Rodriguez Pdf

This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

International Symposium on Intelligent Informatics

Author : Sabu M. Thampi,Jayanta Mukhopadhyay,Marcin Paprzycki,Kuan-Ching Li
Publisher : Springer Nature
Page : 508 pages
File Size : 51,7 Mb
Release : 2023-04-04
Category : Technology & Engineering
ISBN : 9789811980947

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International Symposium on Intelligent Informatics by Sabu M. Thampi,Jayanta Mukhopadhyay,Marcin Paprzycki,Kuan-Ching Li Pdf

This book constitutes thoroughly refereed post-conference proceedings of the 7th International Symposium on Intelligent Informatics (ISI 2022), from August 31 to September 1–2, 2022, Trivandrum, India. The revised papers presented are carefully reviewed and selected from several initial submissions. The scope of the Symposium includes AI, machine learning, cognitive computing, soft computing, security informatics, data science, computer vision, pattern recognition, intelligent software engineering, intelligent networked systems, IoT, cyber-physical systems, and NLP. The book is directed to the researchers and scientists engaged in various fields of intelligent informatics.