Deep Learning Model Predicts Software Faults With 99.3 Percent Accuracy
Researchers in Hyderabad have built a deep learning pipeline that predicts fault-prone software modules with 99.3 percent accuracy in under...
Blake Davidson is a Scienmag editorial specialist profile for Data Science coverage.
Researchers in Hyderabad have built a deep learning pipeline that predicts fault-prone software modules with 99.3 percent accuracy in under...
Researchers in China have developed a Multimodal Transformer Attention model that jointly extracts and fuses video, audio and text features...
Researchers have combined dual optical frequency combs with a Transformer-based deep learning model to achieve video-rate single-pixel imaging through a...
Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network...
Medical imaging has become one of the most promising arenas for artificial intelligence, but the technology has long been held...
An integrated framework combining LSTM deep learning, explainable AI, and NSGA-III multi-objective optimization predicts drilling speed gains of up to...
A systematic review of 149 studies maps how large language models are being adapted into personalized, adaptive health and wellness...
Researchers have developed a smart ring and machine learning system that automatically attributes AAC device speech to the correct user...
A global systematic review of 73 studies finds that artificial intelligence is highly effective at short-term coastal hazard forecasting but...
Researchers at Shenzhen Technology University report a LiDAR segmentation framework that reaches 74.4 percent mean IoU on SemanticKITTI and 83.5...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine