New Algorithm Repairs Timestamp Errors in Correlated Sensor Networks
Researchers at the University of KwaZulu-Natal have developed an algorithm that detects and repairs timestamp-displaced sensor data by exploiting spatial ...
Researchers at the University of KwaZulu-Natal have developed an algorithm that detects and repairs timestamp-displaced sensor data by exploiting spatial ...
A survey of 500 government accountants in Palestine and Jordan finds that ethical concerns mediate the link between four AI ...
A new narrative review finds that classical statistical models and rigorous validation pipelines often outperform sophisticated deep learning in sports ...
Researchers in India report that a fuzzy logic-driven dynamic clustering algorithm outperformed standard machine learning methods on brain tumor data, ...
A systematic review of 51 primary studies finds that rule-based methods and large language models can automate parts of data ...
A hybrid deep learning framework combining AlexNet and Ant Colony Optimization significantly improves routing, delay, and energy efficiency in cloud-based ...
A new framework called EKT-XAI processes 95 million student interactions in minutes using a lightweight transformer that matches deep knowledge ...
Researchers at Cairo University have developed EPOBPA, a parallelizable frequent itemset mining algorithm that outperforms existing techniques by 36 to ...
A new bibliometric study maps twenty years of Wikipedia research, revealing a fragmented field whose corporate AI lineage helped normalize ...
Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...
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© 2025 Scienmag - Science Magazine