Clear Sky Science – Articles (en)

DEEP LEARNING ARTICLES

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

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

Ensemble-based high-performance deep learning models for medical image retrieval in breast cancer detection

A multi-dimensional feature aggregation network for electric vehicle charging demand prediction

Enhancing lung cancer classification through a double attention hybrid CNN-HiFuse approach

A dual-branch deep learning framework for emotion recognition from EEG signals

Innovative fusion models: elevating preoperative gross ETE prediction in thyroid cancer patients

Development of head-to-head and longitudinal CycleGAN algorithm for MRI harmonization: validation in follow-up MRI evaluation in patients with brain metastasis

A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images

Synthetic data-driven deep learning for label-free autonomous atomic force microscopy

AI-driven fault detection and classification in photovoltaic systems using deep learning techniques

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image

ResNet based backbone integrated YOLO framework for bone fracture detection

Accurate water quality assessment using IoNT-enabled deep learning frameworks

Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting

A YOLOv12-based approach for automatic detection of cephalometric landmarks on 2D lateral skull X-ray images

Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR

Phase retrieval of highly strained Bragg coherent diffraction patterns using supervised convolutional neural network

Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation

U-Trans: a foundation model for seismic waveform representation and enhanced downstream earthquake tasks

Research on target detection algorithm for forest fire images based on multi-scale feature extraction

A hybrid convolution and attention-based framework with visual explanation for fruit disease identification

Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system

Artificial intelligence-based intrusion detection and secure communication model for sustainable 6G-IoT networks

FMCL: a transformer-based feature-map classifier learning approach for enhanced brain tumor detection in MRI

Deep learning for high-resolution material texture enhancement in 3D environments

An intelligent approach for early smoke/fire detection using vision sensors in smart cities

Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification

Efficient cardiac MRI multi-structure segmentation for cardiovascular assessment with limited annotation by integrating data-level and network-level consistency

Rejoining fragmented ancient bamboo slips with physics-driven deep learning

Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines

Automated measurement of hallux valgus angles using a deep learning model: validation and comparison with surgeons of varying expertise

Enhancing trustworthiness of Arabic online health information quality evaluation using an enhanced BERT architecture with PCA and ICA feature weighting

Bias-targeted deep learning enhances short-range heavy rainfall forecasts

Integration of radiomics, deep learning, transcriptomics, and metabolomics reveals prognostic risk stratification and underlying biological mechanisms in colorectal cancer

DiNovo enables high-coverage and high-confidence de novo peptide sequencing via mirror proteases and deep learning

CLWD: a Chinese histopathology dataset for lung adenocarcinoma subtype classification

Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction

A novel automatic modulation recognition algorithm for OFDM signals based on FAFT

An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction

Multivariable AI-based analysis of immune–lifestyle patterns associated with recurrent pregnancy loss: an exploratory retrospective study

A dual limb attention based deep learning network for multipath classification of millimetre wave signals in intelligent transportation system

Advanced hybrid 3DCNN-SGAN framework for high-precision gas mixture analysis with sensor arrays

MuGu:mutual guidance learning between pretrained SAM and lightweight model for medical image segmentation

GoLoCo-Net: global-local guided contextual attention network for medical images segmentation

Optimal deep neural network based road traffic management system for Internet of Things based smart city environment

Application of PoseConv3D algorithm in cheerleading training action recognition

Automated detection of new cerebral infarctions and prognostic implications using deep learning on serial MRI

Advanced stacked modeling techniques for material porosity estimation via high-resolution computed tomography imaging

Application of representation learning in detecting botnet attacks

Deep learning for vessel segmentation and flow analysis to identify clusters associated with adverse outcomes in a fontan patient registry

Construction of automatic air monitoring point siting model based on convolutional neural network and K-means clustering

Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks

Generative adversarial network-based super-resolution reconstruction of remote sensing images

Application of smooth OWA operators to classification of retinitis pigmentosa

Cut instance mixing: A domain-specific data augmentation method applied to gastrointestinal lesion detection

Yolov8n based on dynamic serpentine convolution and multi-feature attention for MRI brain cranial tumor segmentation

Hybrid EfficientNet B4 and SVM framework for rapid and accurate bone cancer diagnosis from X-rays

Gene driven analytical learning model for accurate breast cancer diagnosis

Feature-indistinguishable machine unlearning via negative-hot label encoding and class weight masking

Foreign object detection in power transmission lines using SESYOLO

Intrusion detection with HACDT-Net and TRBM-Net using a hybrid deep learning framework with enhanced sampling techniques

Deep learning–based basilar artery wall and lumen segmentation from 1-mm MR vessel wall imaging

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study

High-frequency ultrasound combined with deep learning enables identification and size estimation of microplastics

A Unified preprocessing framework for high-throughput diffraction pattern analysis

New energy vehicle fault identification based on improved activation functions and parameter-free attention mechanisms

CSWin-MDKDNet: cross-shaped window network with multi-dimensional fusion and knowledge distillation for medical image segmentation

Evaluating resolution requirements for subtle caenorhabditis elegans strain discrimination using classical descriptors and CNN–transformer models

Cognitive salience features enhance multitask deep learning for pragmatic reasoning across cultures

Image-based detection of bolts and bolt-missing defects in multi-angle and complex background scenarios

A multi-task deep learning and radiomics framework for fetal anatomical structure detection and classification in ultrasound imaging

A sparrow search algorithm-optimized LSTM framework with EMD denoising for rolling element bearing remaining useful life prediction

A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran

3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data

Application of LSTM-CNN in skiing action recognition under artificial intelligence technology

Inspection of pollination transfer and success in coffee flowering detection using intersection over union based cascade RCNN in a vision environment

A unified EfficientSwinB-based framework for medicinal plant recognition and safflower germplasm classification

Lightweight convolutional neural network for real-time earthquake P-wave detection on edge devices in New Zealand

PoseShot: hybrid CNN–BiLSTM transformer model for free throw action recognition via pose analysis

A Robust Lemuria Framework for efficient crop prediction

Harnessing multimodal deep representation with dimensionality reducing approach for enhanced intrusion detection system in internet of things networks

Blasting ore size detection based on efficient dehazing network and multi-dimensional feature fusion

A novel multi-module neural networks strategy of human emotion recognition in the human-robot interaction

Future-aware blood glucose forecasting using knowledge distillation with transformer-based sequence-to-sequence models

Explainable LSTM-AdamW based fault diagnosis of aircraft rotating components using airborne acoustic signals under dynamic operating conditions

Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture

Development and evaluation of a multistage transfer learning framework for robust medical image analysis

Identification methods and evaluation metrics for the condition of the Beijing masonry Great Wall