Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Toward leveraging intrinsic point cloud features in 3D adversarial attacks. [PDF]
Naderi H, Dinesh C, Bajić IV, Kasaei S.
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Stain Consistency Learning: Handling Stain Variation for Automatic Digital Pathology Segmentation. [PDF]
Yeung M +7 more
europepmc +1 more source
Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang +4 more
wiley +1 more source
Sex-Stratified Machine Learning for the Prediction of Post-COVID Condition: A Longitudinal Cohort Study. [PDF]
Krivonosov MI +29 more
europepmc +1 more source
Trustworthy Machine Learning under Social and Adversarial Data Sources
Machine learning has witnessed remarkable breakthroughs in recent years. As machine learning permeates various aspects of daily life, individuals and organizations increasingly interact with these systems, exhibiting a wide range of social and ...
Shao, Han
core
Generative AI—the Transgression of Technology
ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley +1 more source
Object Detection and Recognition Based on Deep Learning. [PDF]
Carletti V, Saggese A, Spagnolo P.
europepmc +1 more source

