Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Background: Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, but its diagnosis remains constrained. This study aimed to identify potential candidate ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
The healthcare AI market is moving fast with new advancements and products being announced every week. Stay up-to-date with the latest news with these quick hits. Friday, Oct. 31 OpenAI took several ...
Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
1 Department of Computer Science and Engineering, The People’s University of Bangladesh, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, ...
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