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ARTIFICIAL INTELLIGENCE : models, algorithms and applications by Kristensen, Terje Solsvik; is a nonfiction available to read on EtoBox.

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CONTENTS 6 PREFACE 11 List of Contributors 15 From AIS Data to Vessel Destination Through Prediction with Machine Learning Techniques 16 Wells Wang1, Chengkai Zhang1, Fabien Guillaume2, Richard Halldearn3, Terje Solsvik Kristensen4 and Zheng Liu1,* 16 INTRODUCTION 16 AIS DATA PREPROCESSING APPROACH 18 Trajectory Extraction 18 Trajectory Resampling 19 Noise Filtering 20 Trajectory Segmentation 22 VESSEL DESTINATION PREDICTION APPROACHES 23 Sequence Prediction Approach 23 Classification Approach 24 Classification of Ports 24 Classification of Trajectories 25 CONCLUDING REMARKS 25 CONSENT FOR PUBLICATION 26 CONFLICT OF INTEREST 26 ACKNOWLEDGEMENTS 26 REFERENCES 26 Artificial Intelligence in Mental Health 28 Suresh Kumar Mukhiya1,*, Amin Aminifar1, Fazle Rabbi1,3, Violet Ka I. Pun1,2 and Yngve Lamo1 28 INTRODUCTION 28 MENTAL HEALTH TREATMENT 30 MOTIVATION 30 Adaptiveness and Adherence 31 Automation of the Treatment Process 31 Scalability 32 Personal Stigma (Self-aware Treatment Systems) 32 AI for A Personalized Recommendation 33 DATA COLLECTION AND PREPARATION 33 Challenges in Data Collection 35 MENTAL HEALTH AND AI 35 Natural Language Processing (NLP) 35 Virtual Reality (VR) and A

Who reads ARTIFICIAL INTELLIGENCE : models, algorithms and applications?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kristensen, Terje Solsvik;
Publisher
Bentham Science Publishers
Published
2021
Language
EN
ISBN
9781681088280
Category
nonfiction
Subjects
Computer Science, Artificial Intelligence (Ai), Stem

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