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	These reviews are the most popular with readers.   Options: All Media Types Journals Proceedings Div Books Whole Books Other Ranking Date Reviewed Title Author Published Date Descending Ascending For the last: 30 days 60 days 90 days 6 months 1 year all time     1-10 of 18764 results Ranking   Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges Koay A., Ko R., Hettema H., Radke K. Journal of Intelligent Information Systems 601-29, 2023.  Type: Article Today, machine learning (ML) is applied to threat detection and classification problems in the important field of industrial control. This paper reviews different ML papers that apply supervised learning, unsupervised learning, deep learning, and ... 1     Trustworthy AI: from principles to practices Li B., Qi P., Liu B., Di S., Liu J., Pei J., Yi J., Zhou B. ACM Computing Surveys 55(9): 1-46, 2023.  Type: Article, Reviews: (2 of 2) As computing technology continues to evolve, artificial intelligence (AI) is playing an increasing role in various aspects of our lives. Although AI dates back many decades--I took an AI subject in my university studies, in 1988--only re... 2     Data-driven prototyping via natural-language-based GUI retrieval Kolthoff K., Bartelt C., Ponzetto S. Automated Software Engineering 30(1): 2023.  Type: Article Reading this paper would leave anyone conflicted. It describes a good contribution ridden with flaws. It is puzzling that the referees and journal editors accepted the paper in its current form. The presentation style is verbose, and some of the l... 3     D-finite functions Kauers M., Springer International Publishing, Cham, Switzerland, 2023. 664 pp.  Type: Book (9783031346514) D-finite functions is a comprehensive introduction to computations with functions, particularly the use of D-finite functions, in the design of algorithms targeting proof of presence/lack of relation(s), algorithms dedicated to resolving as... 4     10 things software developers should learn about learning Brown N., Hermans F., Margulieux L. Communications of the ACM 6778-87, 2024.  Type: Article As software developers, we understand the detailed workings of the different components of our computer systems. And--probably due to how computers were presented since their appearance as “digital brains” in the 1940s--we so... 5     A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks Tsao K., Girdler T., Vassilakis V. Ad Hoc Networks 1332022.  Type: Article FANET was coined for flying ad hoc networks, for example, unmanned aerial vehicles (UAVs). This survey paper is an in-depth discussion of the cybersecurity concerns and shortcomings unique to UAVs, as compared to more established mobile ad hoc net... 6      Predictive and simulation analytics: deep insights for better business decisions Paczkowski W., Springer International Publishing, Cham, Switzerland, 2023. 395 pp.  Type: Book (3031318862) In a world where complexity is increasing by the day, a group of disciplines collectively known as “data science” is becoming more and more important and useful in addressing compelling problems in an increasing number of scientific br... 7     A history of fake things on the Internet Scheirer W., Stanford University Press, Redwood City, CA, 2023. 264 pp.  Type: Book (9781503632882) With the advent of the Internet, changing perceptions of reality and “fakeness” have impacted user decisions to expose or hide their social identities. The positives of using or working with the Internet encourage real identities, wher... 8     Man-made women: the sexual politics of sex dolls and sex robots Richardson K., Odlind C., Palgrave Macmillan, New York, NY, 2023. 212 pp.  Type: Book (3031193806) People with unconventional or even perverse desires sometimes search for alternatives to real human beings. This has led to the development of sex dolls and sex robots, referred to as “man-made women” in this book. However alarming, th... 9     On the adaptation of recurrent neural networks for system identification Forgione M., Muni A., Piga D., Gallieri M. Automatica (Journal of IFAC) 1552023.  Type: Article In this pape, Forgione et al. propose a transfer learning methodology to adapt recurrent neural network (RNN) models for dynamic system identification to new operating conditions. The approach is premised on the concept that the dynamics of real-w... 10         Display 510152550100 per page
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