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User-Centered Software Development for the Blind and Visually Impaired: Emerging Research and Opportunities
Human-computer interaction studies the users and their interaction with an interactive software system (ISS). However, these studies are designed for people without any type of disability, causing there to be few existing techniques or tools that focus on the characteristics of a specific user, thus causing accessibility and utility issues for neglected segments of the population. This reference source intends to remedy this lack of research by supporting an ISS focused on people with visual impairment. User-Centered Software Development for the Blind and Visually Impaired: Emerging Research and Opportunities is a collection of innovative research on techniques, applications, and methods for carrying out software projects in which the main users are people with visual impairments. While highlighting topics including mobile technology, assistive technologies, and human-computer interaction, this book is ideally designed for software developers, computer engineers, designers, academics, researchers, professionals, and educators interested in current research on usable and accessible technologies.
Research Anthology on Physical and Intellectual Disabilities in an Inclusive Society
Discussions surrounding inclusivity have grown exponentially in recent years. In today’s world where diversity, equity, and inclusion are the hot topics in all aspects of society, it is more important than ever to define what it means to be an inclusive society, as well as challenges and potential growth. Those with physical and intellectual disabilities, including vision and hearing impairment, Down syndrome, locomotor disability, and more continue to face challenges of accessibility in their daily lives, especially when facing an increasingly digitalized society. It is crucial that research is brought up to date on the latest assistive technologies, educational practices, work assistance...
Smart Cities
This book constitutes the thoroughly refereed proceedings of the 4th Ibero-American Congress, ICSC-CITIES 2021, held in Cancún, Mexico, in November - December 2021. Due to the COVID-19 pandemic the conference was partially held online. The 21 full papers and one short paper presented were carefully reviewed and selected from 112 submissions. The papers are organized in topical sections on computational intelligence for smart cities; urban informatics; internet of things, smart energy and smart grid.
Handbook of Research on Innovations in Database Technologies and Applications
"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.
Advances in Computational Intelligence
The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022. The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions. The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume contains 29 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics
Objects and Databases
These post-proceedings contain the revised versions of the papers presented at the \Symposium on Objects and Databases" which was held in Sophia-Antipolis, France, June 13, 2000, in conjunction with the Fourteenth European Conference on Object-Oriented Programming, ECOOP 2000. This event continued the t- dition established the year before in Lisbon (Portugal) with the First Workshop on Object-Oriented Databases. The goal of the symposium was to bring together researchers working in various corners of the eld of objects and databases, to discuss the current state of research in the eld and to critically evaluate existing solutions in terms of their current usage, their successes and limitatio...
Advances in Artificial Intelligence - IBERAMIA 2010
This book constitutes the refereed proceedings of the 12th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2010, held in Bahía Blanca, Argentina, in November 2010. The 61 papers presented were carefully reviewed and selected from 148 submissions. The papers are organized in topical sections on artificial intelligence in education, cognitive modeling and human reasoning, constraint satisfaction, evolutionary computation, information, integration and extraction, knowledge acquisition and ontologies, knowledge representation and reasoning, machine learning and data mining, multiagent systems, natural language processing, neural networks, planning and scheduling, probabilistic reasoning, search, and semantic web.
Proceedings of the 18th Latin American Conference on Learning Technologies (LACLO 2023)
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming years. This book serves as a valuable instrument and source of information on the recent advances in educational technology
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
