Anthony Canevello is a graduate student in the Master of Science in Data Science program at Embry-Riddle Aeronautical University, concentrating on data-driven applications in homeland security. His research explores the use of convolutional and graph neural networks in image recognition and computational analysis to enhance safety and operational performance. He currently works for ERAU Campus Safety & Security and has prior experience in law enforcement and education.
ISBN: 978-0691260341, Princeton University Press, 2024, 280 pages, $29.95 (Hardcover) Reviewed by: Anthony Canevello, Embry-Riddle Aeronautical University, Daytona Beach, Florida, United States In Technology...
Inter Populum: The Journal of Irregular Warfare and Special Operations is seeking book reviews on published works relevant to special operations, irregular warfare, and strategic competition. We welcome reviews of theoretical, historical, operational, or policy-oriented books with a regional or global focus.
Reviews should:
Summarize the book’s purpose, structure, and key arguments
Provide brief author background
Identify the intended audience
Offer a thoughtful, balanced critique
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800–1,200 words, double-spaced (Word, 12pt Times New Roman)
Full bibliographic details (author, title, publisher, year, pages, price if available)