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Work on deep residual learning is most-cited since 2000 and may become the top of the all-time list within five years, Nature ...
When it comes to module durability, we need to think differently, according to research from Austria’s Polymer Competence ...
While institutions from China take up most places on top 10 rankings for published papers and citations, there are none from ...
A recent paper by Concordia researchers published in the journal IEEE Xplore describes a new method of making this easier.
Suyog redefines the role of an IT leader by integrating scalability, reliability and learnability into his approach.
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Tech Xplore on MSNSocial networks are vulnerable to relatively simple AI manipulation and polarizationIt seems that no matter the topic of conversation, online opinion around it will be split into two seemingly irreconcilable ...
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Tech Xplore on MSNMachine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasetsFraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
Discover how advanced analytics and AI are revolutionizing grid operations, addressing challenges like DERs, wildfires, and ...
HealthDay on MSN6d
Smart Shirt Might Predict Heart ProblemsTUESDAY, April 15, 2025 (HealthDay News) -- A “smart shirt” equipped with an electrocardiogram (ECG) can help identify folks ...
Li, "Spectrum sharing in vehicular networks based on multi-agent reinforcement learning," IEEE Journal on Selected Areas in Communications ... Figures 3 and 4 in the paper can be directly reproduced ...
Study finds dozens of journals that have hiked their fees and started churning out papers after being acquired by small, ...
IEEE-Published Study Improves Recommendation Accuracy With Knowledge Graphs and Contrastive Learning
An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...
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