Название: Artificial Intelligence Technologies for Engineering Applications
Автор: G. Sucharitha, Anjanna Matta, M. Srinivas, Sachi Nandan Mohanty
Издательство: CRC Press
Год: 2025
Страниц: 345
Язык: английский
Формат: pdf (true), epub
Размер: 29.9 MB

This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between Artificial Intelligence (AI) and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing (NLP), Machine Learning, and Computer Vision.

In the rapidly evolving landscape of computer vision and Artificial Intelligence, the demand for robust and efficient multiple object tracking (MOT) systems has surged across various domains, including surveillance, autonomous vehicles, and human‑computer interaction. Addressing this demand, our project introduces a cutting‑edge real‑time MOT framework that amalgamates the strengths of YOLOv7, DeepSORT, and TensorFlow. Object detection and tracking are fundamental challenges in Computer Vision, particularly in scenarios with dynamic environments, occlusion, and varying object scales. YOLOv7, renowned for its accuracy and speed in object detection, forms the first layer of our framework. By providing a comprehensive understanding of the scene in real time, YOLOv7 lays the foundation for subsequent tracking processes. To address the intricacies of object tracking over time, our system employs DeepSORT, a state‑of‑the‑art tracking algorithm that seamlessly associates and tracks objects across consecutive frames. DeepSORT harnesses deep learning techniques to maintain tracking identities in the face of challenges such as occlusion and object interactions.

This book:

Explores practical applications of Artificial Intelligence in engineering, including optimization, predictive modeling, decision‑making, and control systems
Provides real‑world examples of the applications of Artificial Intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing
Discusses technologies such as Machine Learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation
Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation
Presents Artificial Intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control

This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, Computer Science and engineering, and information technology.






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