2018 International Conference On Innovation And Intelligence For Informatics Computing And Technologies 3ict

2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2018) will be held at University of Bahrain, Kingdom of Bahrain,, November 18 20, 2018 The aim of 3ICT 2018 is to provide a forum for the researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Computing, Advanced Technologies, and Invocative Research present their latest research results and perspectives for future work in these areas of research

The College of Information Technology, University of Bahrain is organizing the 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2022) in collaboration with Edge Hill University, King Abdulaziz University, (CIRC) Sultan Qaboos University, and Dubai University The aim of 3ICT 2022 is to provide a forum for the researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Computing, Advanced Technologies, and Innovative Research Present their latest research results and perspectives for future work in these areas of research

2019 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2019) will be held at University of Bahrain, Kingdom of Bahrain,, September 22 23, 2019 The aim of 3ICT 2019 is to provide a forum for the researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Computing, Advanced Technologies, and Invocative Research present their latest research results and perspectives for future work in these areas of research

The College of Information Technology, University of Bahrain is organizing the 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT 2021) in collaboration with Edge Hill University, King Abdulaziz University, (CIRC) Sultan Qaboos University, and Dubai University Due to the growing concerns about COVID 19, 3ICT 2021 will be virtually held online from Kingdom Bahrain The aim of 3ICT 2021 is to provide a forum for the researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of Computing, Advanced Technologies, and Innovative Research Present their latest research results and perspectives for future work in these areas of research

This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.

This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Machine Learning Applications in Civil Engineering discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies. Using this book, civil engineering students and researchers can deep dive into Machine Learning, and identify various solutions to practical Civil Engineering tasks. Introduces various ML models for Civil Engineering Applications that will assist readers in their analysis of design and development interfaces for building these applications Reviews different lacunas and challenges in current models used for Civil Engineering scenarios Explores designs for customized components for optimum system deployment Explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency

The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.