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      Advancements in Signal, Image and Video Processing

      Select Proceedings of SPIN 2025, Volume 1

      AvAshwani Kumar Dubey,Alvaro Rocha

      Inbunden, Engelska, 2025

      Del 1449 i serien Lecture Notes in Electrical Engineering

      3 040 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Beskrivning

      This volume comprises selected peer-reviewed proceedings of the 12th International Conference on Signal Processing and Integrated Networks (SPIN 2025). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.

      Produktinformation

      • Utgivningsdatum:2025-10-28
      • Mått:155 x 235 x 30 mm
      • Vikt:979 g
      • Format:Inbunden
      • Språk:Engelska
      • Serie:Lecture Notes in Electrical Engineering
      • Antal sidor:406
      • Förlag:Springer Nature Switzerland AG
      • ISBN:9789819699667
      • Originaltitel:Advanced IoT Sensors, Networks and Systems

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Systemvetenskap och AI inom Data och IT

      Mer om författaren

      Ashwani Kumar Dubey is a Professor in the Department of Electronics and Communication Engineering at ASET, Amity University Uttar Pradesh, Noida, India. He holds a B.E. (AMIE) in Electronics and Communication Engineering, an M.Tech. in Instrumentation and Control Engineering from Maharshi Dayanand University, Rohtak, and a Ph.D. in Electrical Engineering from Jamia Millia Islamia, New Delhi. With over two decades of academic and research experience, Dr. Dubey has held various teaching and administrative roles at leading institutions, including GD Goenka World Institute–Lancaster University (UK). He has published more than 90 research papers in reputed international and national journals and conferences. He has filed 23 patents (3 granted) and has actively contributed to organizing conferences. He has supervised over 10 Ph.D. scholars and continues to guide research in emerging technologies.Álvaro Rocha holds the title of Honorary Professor and has earned a Habilitation in Information Science, a Ph.D. in Information Systems and Technologies, an M.Sc. in Information Management, and a B.Sc. in Computer Science. He is a Professor of Information Systems at the University of Lisbon – ISEG Lisbon School of Economics and Management, a researcher at ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborating researcher at CINTESIS. His main research interests are maturity models, management information systems, intelligent systems, cybersecurity, e-government, e-health, and information technology in education. He is also Vice-Chair of the IEEE Portugal Section Systems, Man, and Cybernetics Society Chapter, and Founder and Editor-in-Chief of two journals: World Journal of Information Systems and RISTI – Revista Ibérica de Sistemas e Tecnologias de Informação / Iberian Journal of Information Systems and Technologies. Additionally, he is the Scientific Manager of the Information Systems Engineering & Management book series at Springer-Nature, the world's leading publisher of publications in science, technology, and health. Moreover, he has served as Vice-Chair of Experts for the European Commission’s Horizon 2020 Program and as an expert for the COST – intergovernmental framework for European Cooperation in Science and Technology, the European Commission’s Horizon Europe Program, the Government of Italy’s Ministry of Universities and Research, the Government of Latvia’s Ministry of Finance, the Government of Mexico's National Council of Science and Technology, the Government of Poland’s National Science Centre, the Government of Cyprus’s Research and Innovation Foundation, and the Government of Slovakia’s Research Agency.Halina Kwasnicka is a Professor in the Department of Artificial Intelligence at Wroclaw University of Science and Technology, Poland. Her research focuses on Artificial Intelligence, with recent emphasis on Explainable AI (XAI). She has led multiple AI projects in medicine, image analysis, and natural language processing, and has participated in EU and international collaborations. She served as Deputy Director for Research at the Institute of Informatics (2004–2012) and founded the Department of Artificial Intelligence. Prof. Kwasnicka is an expert for the European Commission and a member of the INFOSTRATEG Steering Committee. She has received several honors, including the Gold Cross of Merit and the title of Professor Magnus. In 2022, she was named one of the Top 10 Women in AI by Perspektywy.Lyudmila Mihaylova is a Professor of Signal Processing and Control in the School of Electrical and Electronic Engineering at the University of Sheffield, United Kingdom. Her research interests are in the areas of trustworthy autonomous systems with applications to intelligent systems for smart cities, sensor networks, digital health, and others. She has expertise in machine learning, intelligent sensing, and sensor data fusion. Prof. Mihaylova has published more than 200 scientific papers in peer-reviewed international journals. She is a guest editor for a special issue of Frontiers in Robotics and AI (2022–2023). Prof. Mihaylova is on the Board of Directors of the International Society of Information Fusion (ISIF) and was the ISIF President from 2016 to 2018. She won the Tammy Blair Best Paper Award at the International Conference on Information Fusion 2017, Best Paper Awards from IEEE DESSERT 2019, the 17th IEEE SPA 2013 Conference, and the IEEE Sensor Data Fusion Workshop 2013, as well as Best Student Paper Awards from IEEE MFI 2021, IEEE ICMA 2023, and others.

      Innehållsförteckning

      • Section 1: Advancements in Image and Video Processing.- Variance Stabilised Image Deconvolution under Mixed Poisson-Gaussian Noise in Fluorescence Microscopy.- Improvisation of ESRGAN for Upscaling Surveillance Video.- Specialized Image Descriptors Adaptation for Diplococci Recognition in Microscopic Images.- Pre-Trained Encoder-Decoder Architecture for Breast Ultrasound Image Segmentation.- FaceComm: A Novel Framework for Identifying Communities in Group Photographs using Face Recognition, Clustering & Community Detection.- Tonal and Temporal Analysis of Shock wave for Multi Caliber Ammunition.- Section 2: Signal Processing and Noise Management.- EEG and EMG signal integration using Machine learning for detection of Epileptic Seizures.- Assessment of muscle fatigue in lower extremity muscles during isometric contractions from EMG signals using DWT.- A Novel Approach for Estimating the Diagnostic Information Loss from Fetal PCG Signal during Signal Transmission.- IFIR Filter and Filter Bank Design using Schittkowski Algorithm.- Assessing the Performance of Adaptive Line Enhancement Algorithm for Noise Reduction in Audio Signals.- Multi-Speaker Speech Processing in Noisy Environments: A Hybrid Model for Source Separation and Summarization.- Removal of EOG artifact using EWT and SG filter.- etc.
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