BOOKS - Mathematical Models Using Artificial Intelligence for Surveillance Systems
Mathematical Models Using Artificial Intelligence for Surveillance Systems - Padmesh Tripathi, Mritunjay Rai, Nitendra Kumar, Santosh Kumar 2024 PDF | EPUB Wiley-Scrivener BOOKS
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Mathematical Models Using Artificial Intelligence for Surveillance Systems
Author: Padmesh Tripathi, Mritunjay Rai, Nitendra Kumar, Santosh Kumar
Year: 2024
Pages: 350
Format: PDF | EPUB
File size: 42.8 MB
Language: ENG



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The book "Mathematical Models Using Artificial Intelligence for Surveillance Systems" explores the integration of artificial intelligence (AI) and mathematical models to enhance surveillance systems. The author examines how AI can be used to improve the accuracy and efficiency of surveillance operations, while also addressing ethical considerations such as privacy and bias. The book covers topics such as machine learning algorithms, computer vision techniques, and data mining methods, providing readers with a comprehensive understanding of the intersection of AI and surveillance. The first chapter introduces the concept of surveillance and its importance in maintaining public safety and national security. The author discusses the evolution of surveillance technology, from traditional methods such as human observation to modern technologies like facial recognition and license plate readers. The chapter concludes by highlighting the need for a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. Chapter two delves into the fundamentals of AI and its applications in surveillance.
В книге «Математические модели с использованием искусственного интеллекта для систем наблюдения» исследуется интеграция искусственного интеллекта (ИИ) и математических моделей для улучшения систем наблюдения. Автор исследует, как ИИ может быть использован для повышения точности и эффективности операций эпиднадзора, а также рассматривает этические соображения, такие как конфиденциальность и предвзятость. Книга охватывает такие темы, как алгоритмы машинного обучения, методы компьютерного зрения и методы интеллектуального анализа данных, предоставляя читателям исчерпывающее понимание пересечения ИИ и наблюдения. Первая глава вводит понятие слежки и ее важность в поддержании общественной безопасности и национальной безопасности. Автор обсуждает эволюцию технологии наблюдения, от традиционных методов, таких как наблюдение за человеком, до современных технологий, таких как распознавание лиц и считывание автомобильных номеров. Глава завершается выделением необходимости личностной парадигмы восприятия технологического процесса развития современного знания как основы выживания человечества и выживания объединения людей в воюющем государстве. Глава вторая углубляется в основы ИИ и его применения в слежке.
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