Clear Sky Science – Articles (en)

DEEP LEARNING ARTICLES

ScaleMamba-YOLO: a multi-scale MambaYOLO for medical object detection

WTAM-YOLO: a YOLOv11-based method for pulmonary nodule detection

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning

Advancing plant disease classification using an attention-based CNN for intra-dataset and cross- dataset training

An improved ICEEMDAN–depth hybrid network model integrating multimodal data for the screening of diabetic peripheral neuropathy

A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks

PCB-YOLOV8X: a network for detecting micro-sized defects on PCB surfaces based on enhanced feature information

Fine grained representation learning for low resource Yi script detection and dataset construction

An AI-ready remote sensing dataset for high-resolution forest disturbance mapping

Development of a spontaneous disease diagnosis tool by executing an enhanced convolutional neural network model for citrus fruits and leaves

High-throughput adult Caenorhabditis elegans viability monitoring system

Lightweight super-resolution method based on scattering processing and feature interaction

OTFS channel estimation method based on IBO-dynamic gated Bi-GRU

VMD-LSTM based water level prediction of aquifer in mining working face

Deployable knowledge–data hybrid models for day-ahead cooling load prediction under data scarcity: a case study and performance validation

YOLO-MFD: a multi-scale feature and dynamic head framework for prefabricated shoreline underwater object detection

LogoXpertNet: a novel lightweight logo classification using deep learning

ResSeMo: deep convolutional neural network integration for high-accuracy waste classification and efficient processing

DermaScanAI an explainable hybrid deep learning framework for automated skin lesion classification using dual attention and metadata fusion

Deep learning-based precision phenotyping of spine curvature identifies novel genetic risk loci for scoliosis in the UK Biobank

Deep learning-based dual-reference triboelectric sensor for direct surface potential prediction

Minimally supervised learning on sub-meter satellite imagery reveals slum expansion during the COVID-19 pandemic

ERS superpixel guided pigment identification and convolutional autoencoder unmixing in mural painting hyperspectral images

A non-intrusive framework using acoustic signals and deep learning for boiling diagnostics in visual-limited environments

Automated detection of physical contact events in youth ice hockey: a player-centric deep learning approach

Bidirectional state space modeling for lightweight and robust wheat head detection in complex agricultural environments

Text-to-video generation with multi-loss sequential generative adversarial network

Psychological-physical synergy of athletes based on artificial intelligence and deep learning

Beyond localized methane plume detection: a dual-path deep learning framework for sensor-agnostic global hyperspectral methane plume monitoring

Semantic segmentation and spatial grid analysis of Chinese heritage landscape photographic compositions with cross-cultural perspectives

2D Multimodal Image Collection for Fluorescence Prediction from Transmitted Light Microscopy

Advanced analysis and detection of cervical cancer using NASNetLarge

Enhanced content-based image retrieval via hybrid color, texture, and deep learning features

Fusion of residual networks and hybrid attention mechanism for high accuracy cultivated land mapping in northeast china’s black soil region using planet imagery

A blockchain-integrated multi-scale convolutional network for accurate recognition and secure tracking of high-difficulty movements in aerobics training

Novel explainable deep learning based drug sensitivity prediction for early treatment of breast cancer

A vision transformer model for the detection of glaucoma from optic disc photographs

Deep learning–based quantitative CT assessment of interstitial lung abnormalities: prognostic risk thresholds in a health screening population

Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverage

An enhanced diabetic retinopathy detection approach using optimized deep learning technique

Convolutional neural networks using preoperative CT to predict short-term recurrence after incisional hernia repair

ROI-guided relational YOLO–SegNet transformer for lightweight bone tumor segmentation and classification from X-ray images

A smart monocular vision metrology system based on computer for standing long jump

A CNN–Bi-LSTM pipeline and open FSW dataset for freestyle wrestling action recognition

A deep learning approach for the diagnosis and recurrence prediction of OKC

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder

A hybrid recommendation framework utilizing domain-adaptive RoBERTa embeddings for enhanced personalization in e-commerce

A low-latency deep learning framework for volcanic ash cloud nowcasting using geostationary satellite imagery

Deep learning approach to super-resolution correction of brain MRI motion artifacts for accurate hippocampal volumetry

Deep maximum margin matrix factorization

Automated kidney stone segmentation from flexible ureteroscopy videos using a U-net model: A preliminary feasibility study

Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM

A multi-scale adaptive filtering and AtRes_SRU–transformer synergy for breast cancer histopathology classification

An effective detection model based on YOLO for pore defects in additive manufacturing

Classification of fallers and non-fallers in older adults using electrical IMU signal for gait analysis and explainable deep learning

Hair and artifact removal in dermoscopic images using deep learning for enhanced skin cancer detection

Memory efficient training for 3D brain image registration networks using PatchMorph

Leveraging haze-aware features for improved image clarity and detection accuracy with an optimized DCNN-YOLOv8 network

SiaCon-DetNet with HySHO: a cutting-edge transformer-based deep learning framework for emotion-aware facial recognition

A secure and explainable multimodal biometric system using trust adaptive fusion for face and fingerprint

A CNN-transformer dual-branch network with structure-aware loss for high-resolution edge detection

Dual-branch attention network with deep split convolution and multi-dimensional transformers for medical image segmentation

Estimating major pathological response in non-small cell lung cancer patients with post-neoadjuvant therapy using MMT-net

Artificial intelligence technology for music teaching reform mode under DCNN algorithm

Camouflaged object detection via context and texture-aware hierarchical interaction

White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps

Canine gait analysis using inertial sensors and deep learning for orthopedic and neurological disorders

Research on traffic flow prediction of progressive graph convolutional networks based on spatio-temporal self-attention mechanism

Stabilizing updates in differentially private stochastic gradient descent with buffered rejection

Sketch recognition model based on improved CycleGAN network and dual attention mechanism

YOLO-Starfish: fish object detection learning complex underwater features

An early detection framework for young Chinese learners at risk of reading difficulty using fNIRS and deep learning

A novel hybrid customized color correction and Recurrent Convolutional Neural Networks approach for underwater image enhancement

PSD-LW-DCN: a generalizable power spectral density based lightweight deep convolutional neural network for seizure detection

Automated grading and diagnosis of sacroiliitis on CT images using a 3D convolutional neural network: a multicenter retrospective study

Automatic detection and site-scale vegetation shift analysis for individual heritage buildings along the Great Wall

Reinforcing smart grid resilience through blockchain-supported deep learning models for theft detection

A hybrid deep learning approach integrating CNN and transformer for lung cancer classification using CT scans

Deep learning for dynamic tactical formation recognition in professional football

Long short-term attention memory (LSTAM): a global-feature-integrated model for joint moment prediction in human rehabilitation

Cable online partial discharge detection and state evaluation based on deep belief network and swarm intelligence optimization algorithm

A TCN-Attention fusion model for fault prediction and remaining useful life estimation of large-scale mining equipment

Carbon price fluctuation forecasting using an adaptive dual-channel residual attention neural network optimized with white shark optimizer and blockchain-based data provenance

A generative explainable model for antimicrobial peptide prediction using bidirectional temporal convolutional neural network

Deep learning based 3D brain metastasis synthesis with configurable parameters for 3D data augmentation

Multi-dimensional deep learning–based segmentation and volumetric assessment of sphenoid sinus fluid on postmortem CT in drowning cases

A lightweight deep learning architecture for automatic shrimp disease classification

Automated detection and segmentation of Weiss ring in fundus photography images using deep learning

FAD-MIL: a weakly supervised fracture detection model based on X-ray images

Predicting congregational and crowd spread-out flow using YOLOv4 and DeepSORT

Multiview deep learning improves detection of major cardiac conditions from echocardiography

Boundary sensitive-net-based lumbar vertebra segmentation and spondylolisthesis measurement

Electric power data element trading price prediction model based on improved grid VMD Resnet-BiLSTM algorithm

AI-driven sustainable strength prediction and experimental evaluation of high-performance fiber-reinforced concrete incorporating metakaolin

ProSeg: multi-scale context fusion for high-precision prostate segmentation in MRI

Deep learning enhanced prediction framework for bio oil yield from organic solid waste with chemically informed features

Transfer learning enhanced deep neural network surrogate model for rapid multiphysics simulation of alkaline water electrolyzers

Hybrid attention optimized hierarchical multiscale transformer architecture for image super-resolution

Explainable deep learning for early diagnosis of chronic kidney disease from CT images in Bangladeshi patients

A parallel UNet integrating KAN and mamba for medical image segmentation

Advanced hybrid transformer CNN framework for improved skin lesion classification and segmentation

Hybrid CNN–transformer model with BM3D and YOLOv8 for early detection of lung cancer in low-dose CT scans

Classification of health product defect reports by deep learning

A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans

DeepStrataAge: an interpretable deep-learning clock that reveals stage- and sex-divergent DNA methylation aging dynamics

Time-resolved functional genomics using deep learning reveals global hierarchical control of autophagy

Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention

End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data

Deep learning techniques for crop classification in complex agricultural landscapes

A deep learning framework for breast cancer diagnosis using Swin Transformer and Dual-Attention Multi-scale Fusion Network

Mitochondrial apoptosis gene-based pathomics for ovarian cancer prognosis

Sleep awake detection from leg-worn wearables using deep sensor fusion

MultiScaleWave: a wavelet-based multiscale framework for univariate time series forecasting

Improving multi-variable weather forecasting with spatiotemporal feature interaction and large-kernel modeling

Granularity-guided fusion for multi-modal sentiment understanding

Scribe identification for Tang Dynasty Changsha Kiln poetic ceramics via dual-path multi-scale global attention model

Tsinghua bamboo slip scribe verification using Siamese networks

Ultraprecision, high-capacity, and wide-gamut structural colors enabled by a mixture probability sampling network

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification

Computer-aided diagnosis of neonatal acute bilirubin encephalopathy with multi-modal MRI images and convolutional neural networks