Hybrid Deep Learning Model Improves PM2.5 Forecasts in Anhui Province
A hybrid VMD-CBiLSTM model optimized by the shuffled frog-leaping algorithm achieved an average R2 of 0.981 when predicting PM2.5 concentrations ...
A hybrid VMD-CBiLSTM model optimized by the shuffled frog-leaping algorithm achieved an average R2 of 0.981 when predicting PM2.5 concentrations ...
A new PRISMA-guided systematic review compiles 72 studies and twelve open datasets to map how deep learning, from U-Net to ...
A new review in Chinese Medical Journal maps deep learning architectures to core clinical tasks in pathology, highlighting accuracy gains, ...
A systematic review of 46 studies finds deep learning promising for post-earthquake structural damage assessment, but weak generalisation evidence and ...
Most intrusion detection research is tested on artificially balanced datasets, where attack and benign records appear in equal numbers. A ...
An unsupervised U-Net deep-learning framework denoises accelerator emittance images well enough to resolve beam halos below one ten-thousandth of the ...
Researchers report a multimodal framework combining Bengali OCR, hybrid visual encoders, and vision-language reasoning that achieved 97% accuracy on a ...
A multicenter study reports that a model combining pretreatment arterial-phase CT features and clinical variables predicted time to progression after ...
A benchmark study couples CNN saliency maps, a cortical atlas and three LLMs to generate interpretable diagnostic reports from brain ...
A deep learning model trained on ultrasound images from six healthy horses could recognize most standardized FLASH examination windows, though ...
A comparative study of nine U-Net-based deep learning configurations found U-Net with a VGG16 backbone achieved the best overall lung ...
A new review of 201 studies traces how bridge structural health monitoring evolved from classical Fourier and wavelet analysis to ...
A two-stage framework that corrects coarse weather forecasts before predicting solar output halved day-ahead power forecast errors at a 20 ...
A new dynamic graph neural framework called GAMMA-Traffic updates road-network connections in real time using cross-correlation analysis, reporting up to ...
A new AI framework first localizes individual disease regions in real-field leaf photographs and then applies similarity-aware contrastive learning, reaching ...
A pretrained vision transformer called RAVEN predicts highly pathogenic avian influenza outbreak risk across Canada up to two weeks in ...
A new skeleton-based framework, TaichiNet, combines local spatio-temporal graph modeling with a Transformer encoder to recognize Tai Chi movements, outperforming ...
A new zero-watermarking scheme for color medical images uses VGG19 feature extraction, DCT and cyclic chaos encryption to verify copyright ...
A new study reports that a simple Naive Bayes classifier reached 99.05 percent accuracy in distinguishing Somali's MAXAA TIRI and ...
A new review in Cardiovascular Ultrasound explains how artificial intelligence tools, including deep learning PISA segmentation and 3D Auto Color ...
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