Researchers have developed VoteChain, a voting-based blockchain consensus framework that embeds a lightweight CNN-LSTM anomaly detector to cut energy use...

A new PLOS One study introduces Layered Stacking, an ensemble imputation method that outperformed five established techniques in simulations and...

Researchers in India have developed a hybrid security framework that combines swarm-optimized neural network intrusion detection with blockchain-based trust management...

Researchers in Seoul have rebuilt the classic extreme studentized deviate test into an online, self-tuning algorithm that detects anomalies in...

A hybrid deep learning framework combining fuzzy preprocessing, bio-inspired feature selection and a novel Hopfield attention network predicts organic perovskite...

Researchers in China have improved facial expression recognition by redesigning how a ConvNeXt network downsamples images and integrates spatial-channel attention,...

Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy,...

Researchers have developed MAPLE, a black-box adversarial defense framework that jointly purifies adversarial images and recalibrates the classifier's decision margins...

Researchers at Anhui University have developed KVCB, a key-value cache merging method that compresses large language model memory by fusing...

A neural-network potential developed in Japan enables simulations of 100,000-atom silicon crystals, revealing that hydrogen-induced platelets contain two to three...