Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Conference name: Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Date: 1-2 August 2022
Location: Aurangabad, India (Offline)
Website: https://www.acvait.org The world is marching toward implementation of machine learning algorithms and artificial intelligence for making computing system more responsive and interactive to users. The sensor-based big data analytics is addressing the futuristic needs to mankind. The First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by the Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS), India, during August 1–2, 2022. ACVAIT 2022 is dedicated toward advances in the theme areas of Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning, Human Computer Interactions,Biomedical Image Processing,Geospatial Technology, Hyperspectral Image Processing and allied technologies but not limited to.ACVAIT 2022 invites young and/or advanced researchers contributing in the theme area of the conference and also provides them platform for discussing their scientific contributions/research findings with the domain experts, exchanging ideas with them and fostering closer collaboration between members from the top universities/higher education institutes (HEIs). ACVAIT 2022 invites domain-specific work from research scholars, academician, machine learning and AI scientist and industry experts to contribute their scientific contribution in the following areas but not limited to. • Shape representation
• Biometrics: face matching, iris recognition, footprint verification and many more.
• Statistical, structural and syntactic pattern recognition
• Brain computer interface and human computer interactions
• Feature extraction and reduction
• Biomedical image processing
• Color and texture analysis
• Speech analysis and understanding
• Image segmentation
• Speaker verification and synthesis
• Image compression, coding and encryption
• Clustering and classification
• Object recognition, scene understanding and video analytics
• Machine learning algorithms
• Image matching (pattern matching)
• Extreme learning machine
• Content-based image retrieval and indexing
• Artificial intelligence trends in deep learning
• Optical character recognition
• Big data
• Image and video forensics
• Information retrieval
• Pattern recognition and machine learning for Internet of Things
• Data mining and data analytics
• Pattern classification through sensors
• Pattern recognition for hyperspectral imaging
• Satellite image processing There were more than 200 manuscripts in the conference collection developed on conference platform, these manuscripts were blind peer-reviewed, and technical program committee recommended around 30% submission for the conference based in review reports. This selection of the manuscript was based on the criteria of technical/ scientific strength of the work, contribution toward scientific knowledge and novelty. These manuscripts provide detailed discussion on the problem statement pertaining to the thematic area, and the author has justified the work with strong scientific results. This open access book provides research contributions in the area of Biomedical Image processing, Pattern Recognition, AI and ML, Remote Sensing, GIS and Hyperspectral Image Processing. The manuscripts contributing in Biomedical Image Processing are addressing the research finding including computer-aided system lung cancer detection, detection of lung cancer nodules from CT images, cantilever-based biosensor for tuberculosis detection, early detection of leukemia using deep hybrid learning techniques, segmentation of pediatric brain tumors using FLSSR, investigation of EEG images for robotic arm, localization of intervertebral disks using deep learning, identification of skin disease using machine learning and early detection of diabetic maculopathy in specific. Readers may also find good contribution in the potential area of Pattern Recognition in general and printed, handwritten optical character recognition, multilingual optical character recognition, text independent source identification of printed documents, audiovisual speech recognition, handcrafted texture detection, multimodal biometrics, visual cryptography, object detection and classification, gender classification and object identification for block chain application in general. There are good contributions in the areas of Remote Sensing, GIS and Hyperspectral Image Processing, the work primarily on extraction and analysis of land elevations and coastal area using spatial data mining, rooftop identification, extraction of road line, road surfaces in complex urban environment based on high-resolution hyperspectral imaging, image segmentation of satellite images, crop prediction, weather analysis and LU/LC analysis. Moreover, collection also contains couple of manuscripts addressing in the potential areas of text mining and machine learning-related problem statements. We are sure that this manuscript collection presented in this conference book will be useful to the scientific community working in the potential area of Computer Vision and Artificial Intelligence and also encourage young researchers to undertake challenging problem. We are pleased to provide these selected manuscripts as a part of conference collection on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). Ramesh Manza
Bharti Gawali
Pravin Yannawar
Filbert Juwono
Date: 1-2 August 2022
Location: Aurangabad, India (Offline)
Website: https://www.acvait.org The world is marching toward implementation of machine learning algorithms and artificial intelligence for making computing system more responsive and interactive to users. The sensor-based big data analytics is addressing the futuristic needs to mankind. The First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by the Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS), India, during August 1–2, 2022. ACVAIT 2022 is dedicated toward advances in the theme areas of Computer Vision, Image Processing, Pattern Recognition, Artificial Intelligence, Machine Learning, Human Computer Interactions,Biomedical Image Processing,Geospatial Technology, Hyperspectral Image Processing and allied technologies but not limited to.ACVAIT 2022 invites young and/or advanced researchers contributing in the theme area of the conference and also provides them platform for discussing their scientific contributions/research findings with the domain experts, exchanging ideas with them and fostering closer collaboration between members from the top universities/higher education institutes (HEIs). ACVAIT 2022 invites domain-specific work from research scholars, academician, machine learning and AI scientist and industry experts to contribute their scientific contribution in the following areas but not limited to. • Shape representation
• Biometrics: face matching, iris recognition, footprint verification and many more.
• Statistical, structural and syntactic pattern recognition
• Brain computer interface and human computer interactions
• Feature extraction and reduction
• Biomedical image processing
• Color and texture analysis
• Speech analysis and understanding
• Image segmentation
• Speaker verification and synthesis
• Image compression, coding and encryption
• Clustering and classification
• Object recognition, scene understanding and video analytics
• Machine learning algorithms
• Image matching (pattern matching)
• Extreme learning machine
• Content-based image retrieval and indexing
• Artificial intelligence trends in deep learning
• Optical character recognition
• Big data
• Image and video forensics
• Information retrieval
• Pattern recognition and machine learning for Internet of Things
• Data mining and data analytics
• Pattern classification through sensors
• Pattern recognition for hyperspectral imaging
• Satellite image processing There were more than 200 manuscripts in the conference collection developed on conference platform, these manuscripts were blind peer-reviewed, and technical program committee recommended around 30% submission for the conference based in review reports. This selection of the manuscript was based on the criteria of technical/ scientific strength of the work, contribution toward scientific knowledge and novelty. These manuscripts provide detailed discussion on the problem statement pertaining to the thematic area, and the author has justified the work with strong scientific results. This open access book provides research contributions in the area of Biomedical Image processing, Pattern Recognition, AI and ML, Remote Sensing, GIS and Hyperspectral Image Processing. The manuscripts contributing in Biomedical Image Processing are addressing the research finding including computer-aided system lung cancer detection, detection of lung cancer nodules from CT images, cantilever-based biosensor for tuberculosis detection, early detection of leukemia using deep hybrid learning techniques, segmentation of pediatric brain tumors using FLSSR, investigation of EEG images for robotic arm, localization of intervertebral disks using deep learning, identification of skin disease using machine learning and early detection of diabetic maculopathy in specific. Readers may also find good contribution in the potential area of Pattern Recognition in general and printed, handwritten optical character recognition, multilingual optical character recognition, text independent source identification of printed documents, audiovisual speech recognition, handcrafted texture detection, multimodal biometrics, visual cryptography, object detection and classification, gender classification and object identification for block chain application in general. There are good contributions in the areas of Remote Sensing, GIS and Hyperspectral Image Processing, the work primarily on extraction and analysis of land elevations and coastal area using spatial data mining, rooftop identification, extraction of road line, road surfaces in complex urban environment based on high-resolution hyperspectral imaging, image segmentation of satellite images, crop prediction, weather analysis and LU/LC analysis. Moreover, collection also contains couple of manuscripts addressing in the potential areas of text mining and machine learning-related problem statements. We are sure that this manuscript collection presented in this conference book will be useful to the scientific community working in the potential area of Computer Vision and Artificial Intelligence and also encourage young researchers to undertake challenging problem. We are pleased to provide these selected manuscripts as a part of conference collection on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). Ramesh Manza
Bharti Gawali
Pravin Yannawar
Filbert Juwono