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ICCIDA 2023 : 2nd International Conference on Computing, Intelligence and Data Analytics | |||||||||||||||
Link: https://iccida.net/ | |||||||||||||||
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Call For Papers | |||||||||||||||
It is with great pleasure that we invite you to 2nd International Conference on Computing, IoT and Data Analytics (ICCIDA). The conference is organized by Universidad de Castilla - La Mancha, Spain and Istinye University, Turkey, on July 20-21, 2023. The conference will serve as an interdisciplinary forum that may help the research community to take a step forward and share the research findings. In addition, it will provide an arena where researchers, scholars, professionals, students, and academicians may be able to foster working relationships and gain access to the latest research results.
You are invited to submit a full paper for consideration at the conference. All papers accepted and presented from the conference will be published by Springer Nature as a proceedings book volume in the Book Series, Studies in Computational Intelligence.The SCI is indexed in SCOPUS, SCImago, DBLP, WTI Frankfurt eG, Norwegian Register for Scientific Journals and Series, zbMATH. Each paper will be peer-reviewed by at least two reviewers and evaluated based on originality, technical and /or research content /depth, correctness, relevance to conference, contributions, and readability. The papers will be accepted based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program. We welcome you to share you knowledge and contribute to this conference. Topics of interest include but not limited to the following: Data Analysis and Visualization Exploratory Data Analysis Statistical and mathematical modeling Business Intelligence Big Data Analysis Data Mining Cloud Computing Architecture and Systems ETL and Big Data Warehousing Business Intelligence Data Visualization Statistical Analysis Computer Vision Document Analysis Biometrics and Pattern Recognition Remote Sensing & GIS Medical Image Processing Image and Video Retrieval Motion Analysis Structure from Motion Object Detection and Recognition Image Restoration Speech and Audio Processing Signal Processing Artificial Intelligence Machine Learning Pattern Recognition Deep learning Human computer interactions Medical Image Processing Image and Video Retrieval Audio video Processing Text Analytics Natural language processing Information Retrieval Robotics Applications Internet of Things IoT Services and Applications Securing IOT infrastructure Future of IOT and Big Data Internet of Things Intelligent Systems for IOT Security, Privacy and Trust Visual Analytics IoT Data Compression for IoT Devices IoT Services and Applications Education and Learning Social Networks Analysis Communication Systems and Networks Antennas, Propagation and RF Design Transmission and Communication Theory Wireless / Radio Access Technologies Optical Networks and NGN 5G & 6G Cellular systems and SON Sensor Networks Multimedia and New Media High Speed Communication. Computational Intelligence in Telecommunications Software Engineering Requirements Engineering Security Aspects Agile Software Engineering Software Evolution & Reuse Reverse Engineering Software dependability Data & AI Monetization and Products Data as a Service/Platform Biomedical Experiments and Simulations Decision Support Systems Important Dates Full Paper Submission May 01, 2023 Notification to Authors June 20, 2023 Camera Ready Submission July 10, 2023 Early Registration Deadline July 05, 2023 Late Registration Deadline July 10, 2023 Conference Date July 20-21, 2023 Submission Guidelines Authors are invited to submit original, previously unpublished research papers, describing particular challenges or experiences or proposing novel solutions relevant to the scope of the conference. Papers must present original and unpublished work and should not be currently under review by any other conference or journal. Papers should be written in English and formatted according to the Springer LNCS one-column page format. Papers must have a length of 8-10 pages in LNCS format. For more detailed guidelines, please visit official Springer Guidelines website. For any issues related to the submission process, please, feel free to contact us: info@iccida.net Special Sessions 1. Application of Artificial Intelligence for Medical Image Analysis Session Organizers Session Chair: Dr. Niha Kamal Basha School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Dr. Muhammad Davud Istinye University, Istanbul, Turkiye Dr. A. Balasundaram School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India. Session Outline Welcome to this special session on the "Application of Artificial Intelligence for Medical Image Processing". Medical imaging is an essential tool for diagnosis, treatment planning, and disease monitoring. The amount of medical image data being generated is increasing rapidly, and this has created a need for efficient and accurate processing of these images. Artificial Intelligence (AI) has emerged as a powerful tool for medical image processing, enabling automated analysis and interpretation of medical images with high accuracy. This special session aims to bring together researchers and industry professionals to present and discuss the late. This session focuses on applying. The focus of this session is on the application of AI techniques such as deep learning, machine learning, and computer vision for medical image analysis, interpretation, and diagnosis. The session will cover a range of topics related to medical image processing, including but not limited to image segmentation, classification, registration, reconstruction, synthesis, and visualization. We hope that this special session will provide a platform for researchers and practitioners to exchange ideas, share knowledge and collaborate towards the development of effective and efficient AI-based solutions for medical image processing. We look forward to an exciting and informative session. The special session on AI-based medical image analysis covers a range of topics, including but not limited to: Deep learning models for medical image segmentation, classification, and detection. Multimodal medical image analysis AI for improved diagnosis and treatment planning. Computer-aided diagnosis (CAD) systems for medical image analysis Generative models for medical image synthesis Explainable AI for medical image analysis Applications of AI in medical image analysis Future directions in AI-based medical image analysis Information about the previous year's conference is available at: https://iccida.net/index2022.html |
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