Tag: Attention Mechanism

A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable brain tumor segmentation and ...

A new AI framework combining attention-enhanced YOLOv8 and Bald Eagle Optimization achieved 98.94% accuracy in detecting transmission and distribution faults ...

A new attention-based neural network that reconfigures its risk logic according to macroeconomic conditions outperformed standard machine learning and statistical ...

A hybrid CNN-LSTM-attention model predicts risky digital usage patterns in adults aged 60 and older with 0.947 accuracy and 0.93 ...

An enhanced PointNet++ with attention mechanisms and model scaling reaches up to 96.26 percent accuracy in separating ground from vegetation ...

A new open-access study reports that an attention graph neural network tuned by adaptive optimization reached 98 percent accuracy in ...

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to segment brain tumors from ...

A Physics-Regularized Graph Neural Network learns collective motion dynamics from trajectory data, achieving lower closed-loop position errors than five baselines ...

PVFire-YOLO, a real-time detection framework with attention-enhanced multiscale fusion, reaches 87.4% mean average precision on a new photovoltaic fire dataset ...

A new deep learning model combines bilingual text, cultural pragmatics and wireless sensor data from factory floors to assess whether ...

A new lightweight detector, YOLO-FWF, combines Fourier-domain enhancement, wavelet-guided attention and orientation-aware feature fusion to improve scene text detection accuracy ...

A Scientific Reports study describes a video watermarking algorithm that pairs three-dimensional convolutions with the dual-tree complex wavelet transform, reporting ...

A new deep learning framework detects species-specific microscopic structures in orchid stem powder with 93.35 percent mean average precision across ...

A new multimodal model called MusicFormer fuses audio, sheet music, lyrics and regional cultural labels to recognize regional music styles ...

A hybrid framework called NEAT-ID combines evolutionary feature selection, attention-enhanced Transformers and wavelet-based temporal encoding to detect DDoS attacks with ...

An EML-CNN combining dense convolutional blocks, gated recurrent units and attention achieved speaker-identification accuracies above 96% across three benchmark datasets.

An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...

A study in Delhi, Mysore and Surat found that clustering road segments before training deep-learning models improved bus arrival-time predictions ...

Every lithium-ion cell in an electric vehicle carries a hidden countdown. Long before capacity visibly fades, subtle electrochemical fingerprints in ...

Researchers at VIT University propose AFI-ID, an intrusion detection framework that unifies adaptive feature selection with attention-based ensemble fusion, achieving ...