This is an open access book.Adaptive, Resilient & Collaborative EngineeringTowards Faster Recovery & Impactful Solutions The world in the last decade has been facing global issues such as accelerated global warming, depleting natural resources, food waste and scarcity, water contamination and shortage, energy conservation, etc. Enter the COVID-19 pandemic in 2020 and we face what people term as double disruption. Not only solutions to the above problems are becoming more critical, but they are also needed fast. Timely and effective solutions are called for so that we can recover from the pandemic while at the same time carry our efforts to better our world. It is no longer sufficient to find solutions that can only delay the negative impacts from the above problems, but it is imperative to tip the balance and reverse the impacts to our advantage. Engineers and engineering have a vital role in inventing mechanisms, systems, and/or products that can address the solutions. Digital technologies and artificial intelligence have been at the forefront of such exploration and we can expect some hints for a better future, if we continue being adaptive, resilient, and collaborative. Given the above background, Faculty of Engineering - Universitas Surabaya, will host the fourth bi-annual international conference “The 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)” in Yogyakarta, Indonesia, September 14th–15th, 2023. This event is a continuation of the past events successfully held in 2017, 2019, and 2021. We invite academia and business practitioners all around the globe to share ideas and best practices relevant to the above conference topic. We hope that this event can also serve as a platform of gathering for anyone interested in exploring potential solutions of our common problems today. Accepted and presented paper will be submitted for publication in reputable International Proceeding (Atlantis Press). See you in Yogyakarta!

This is an open access book. The first international Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022) is a biennial conference organized by Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad (MS) India, during August 1–2, 2022. ACVAIT 2022, is dedicated towards 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 provide them platform for discussing their scientific contributions / research findings with the domain experts, exchange ideas with them and foster closer collaboration between members from the top universities / Higher Education Institutes (HEI). ACVAIT 2022, inviting domain specific work from research scholars, academician, machine learning & AI scientist, 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 & 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 & 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 Hyper Spectral Imaging• Satellite Image Processing