Results 151 to 160 of about 8,328,816 (311)
Adversarial machine learning for network intrusion detection: A comparative study
Comput. Networks, 2022 Houda Jmila, Mohamed Ibn Khedher
semanticscholar +1 more source
Bridging the translational gap in clinical nanomedicine: From rational design to clinical reality
BMEMat, EarlyView.Nanotechnology offers a multi‐faceted approach to modern healthcare, encompassing high‐sensitivity diagnostic imaging, innovative vaccine delivery, and targeted therapeutics. This review explores how these nanomedicine applications address critical challenges in cancer recurrence and the treatment of neurologic and respiratory diseases to combat rising
Ahmed H. Ghonaim +9 more
wiley +1 more source
Towards a Theory of Representation Learning for Reinforcement Learning
, 2021 Presented online via Bluejeans Events on September 15, 2021 at 12:15 p.m.Alekh Agarwal is a researcher who works on theoretical foundations of machine learning, spanning many areas including large-scale and distributed optimization, high-dimensional ...
Agarwal, Alekh
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Brain Health, EarlyView.ABSTRACT The level of human cognition has enabled advancements in technologies that enable planetary and space exploration with discoveries and innovations. The understanding of human cognition and the evolution of cognition in other species, alongside advances in neuroscience, serve as catalysts for the neurology revolution aimed at enhancing human ...
Paul Olowoyo +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
Video-Language Critic : Transferable Reward Functions for Language-Conditioned Robotics [PDF]
Publisher Copyright: © 2025, Transactions on Machine Learning Research.Natural language is often the easiest and most convenient modality for humans to specify tasks for robots.
Woungang, Isaac +6 more
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Adversarial attacks on machine learning-aided visualizations
Journal of VisualizationAbstract Research in ML4VIS investigates how to use machine learning (ML) techniques to generate visualizations, and the field is rapidly growing with high societal impact. However, as with any computational pipeline that employs ML processes, ML4VIS approaches are susceptible to a range of ML-specific adversarial attacks ...
Takanori Fujiwara +5 more
openaire +6 more sources
Quantum Machine Learning for 6G Network Intelligence and Adversarial Threats [PDF]
Quantum computing has been a major priority for several nations and prominent institutions in their pursuit of a transformative breakthrough in the fields of computation and encryption.
Duong, Trung Q +4 more
core +1 more source
Enzymatic Electrosynthesis for Sustainable CO2 Conversion: Advancing Circular Carbon Economy
Carbon Energy, EarlyView.Enzymatic electrosynthesis (EES) offers molecular precision in synthesizing value‐added products from CO2. We highlight its distinct edge over alternative enzyme‐hybrid systems and analyze electron transfer pathways. Key strategies to overcome electron transfer bottlenecks and expand product diversity are addressed, and also data‐driven approaches for ...
Yan Xie +7 more
wiley +1 more source
Deep Underground Science and Engineering, EarlyView.This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source