Future And Emerging Trends In Language Technology Machine Learning And Big Data
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Future and Emerging Trends in Language Technology. Machine Learning and Big Data
This book constitutes revised selected papers from the Second International Workshop on Future and Emerging Trends in Language Technology, FETLT 2016, which took place in Seville, Spain, in November 2016. The 10 full papers and 5 position papers presented in this volume were carefully reviewed and selected from 18 submissions. In 2016 the conference focused on Machine Learning and Big Data.
Deep Learning and Big Data for Intelligent Transportation
This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.
Human Interaction & Emerging Technologies (IHIET-AI 2024)
Proceedings of the 11th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence & Future Applications (IHIET- AI 2024) which was held April 25-27, 2024, at the Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland