Harnessing AI for Human-Animal Communication - Softcover

Softcover

ISBN 13: 9798337354842

Publisher: Engineering Science Reference, 2026

Synopsis

Advances in artificial intelligence, data analysis, and bioacoustics help bridge the gap between human and non-human species. By decoding animal vocalizations, gestures, and behavioral patterns, AI technologies offer new ways to understand animal emotions, intentions, and social interactions. This emerging field helps improve animal welfare, conservation efforts, and creates a broader understanding of cognition across species. Harnessing AI for communication challenges organizations to rethink the boundaries of language, intelligence, and empathy between humans and the natural world. Harnessing AI for Human-Animal Communication explores how cutting-edge AI technologies revolutionize the ability to understand, interpret, and respond to animal communication signals. It examines how machine learning, natural language processing, and bioacoustics bridge the gap between species, through aspects like vocalizations, gestures, and emotional and behavioral cues. This book covers topics such as computer vision, wildlife surveillance, and zoology, and is a useful resource for animal scientists, zoologists, engineers, academicians, and researchers.

About this title

About the Authors

Dr. Walid Ben Ameur earned his PhD from the University of Carthage. He currently serves as a teacher-researcher at the Department of Life Sciences, Faculty of Sciences of Gabès, Tunisia, and is a member of the Laboratory of Ecology of Terrestrial Fauna at the University of Gabès, Tunisia. Walid Ben Ameur has authored more than 20 peer-reviewed scientific papers published in international journals. His work has made useful contributions to the field of environmental chemistry, with a particular focus on persistent organic pollutants. He has developed analytical techniques for assessing emerging pollutants and evaluating their effects on both the environment and human health. His research spans a diverse range of samples, including those from environmental, biological, human, and food sources. Dr. Ben Ameur has mentored three Master's students and regularly serves as a reviewer for respected journals such as Science of the Total Environment, Chemosphere, Environmental Science and Pollution Research, Marine Pollution Bulletin, Environmental Pollution, Ecotoxicology and Environmental Safety, and Chemistry Africa.

Adnène Arbi is a distinguished academic affiliated with the University of Carthage in Tunisia, where he has contributed significantly to the fields of mathematics and engineering. His tenure at the university spans over a decade, during which he has held various positions, including roles at the Ecole Polytechnique de Tunisie and the National Institute of Applied Sciences and Technology. His research interests primarily focus on neural networks, dynamical systems, and mathematical modeling, with a particular emphasis on the stability and controllability of complex systems. Arbi's recent publications reflect his commitment to advancing knowledge in applied mathematics, particularly through innovative approaches such as wavelet neural networks and the dynamics of nonlinear systems. His work has been published in reputable journals, contributing to the understanding of mathematical phenomena in both theoretical and practical contexts.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2026
• Language: English
• ISBN 13: 9798337354842
• Binding: Paperback
• Number of pages: 366
• Editor: Ameur Walid Ben, Arbi Adnène