Clear Sky Science – Articles (en)

DEEP LEARNING ARTICLES

CMT-Unet: leveraging stage-wise hybrid framework for enhanced accuracy and efficiency in medical image segmentation

Multi-resolution adaptive channel fusion transformer encoder LSTM for accurate streamflow prediction

Integrating multi-scale convolution and attention mechanisms in HybridHAR for high-performance human activity recognition

A real-time detection framework for road cracks in noisy and morphologically complex environments

Classification of rice plant diseases using efficient DenseNet121

Comparative analysis of shallow and hybrid deep learning models for predicting the cooling efficiency of nanofluid-cooled photovoltaic panel across multiple materials

Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework

A multimodal feature fusion with deep representation learning approach for polycystic ovary syndrome diagnosis using ultrasound images

A hybrid blockchain based deep learning model for multivector attack detection in internet of things enabled healthcare systems

FATE-MAP predicts teratogenicity and human gastrulation failure modes by integrating deep learning and mechanistic modeling

Deep learning models identify brain changes during the progression of Alzheimer’s disease

A dayside aurora dataset from the Global-scale Observations of the Limb and Disk mission

An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA)

AI-assisted diagnosis of cervical dysplasia from cervicography images

WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images

Hierarchical malware detection, family identification, and variant attribution using CNN-based hybrid models on grayscale executable images

Classification of dysphagia severity after lateral medullary infarction with deep learning

Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration

A multi-modal approach for recognizing fake news and influential nodes in spreading them using deep learning and network analysis

A hybrid deep learning framework using convolutional and transformer models for robust plant disease classification

Integrative framework for cancer detection via integro-differential equations using deep learning techniques

Deep transfer learning based image colorization using VGG19 and CLAHE

MFDH-Net: defect detection network for multi-level feature fusion and cross-sensing decoupling head

Opening the black box: explainable AI for automated bioturbation analysis in cores and outcrops

A method for compiling satellite image map geographic objects based on vector map data via deep learning

A Flexible Hybrid Quantum-classical Training Framework of Organ-at-Risk and Tumor Segmentation Models for Radiation Therapy Planning

Deep learning inversion of water content and relaxation time in water-bearing fracture zones based on surface NMR data

Deep learning model for enhancing decadal prediction of Eurasian surface air temperature

A deep learning model integrating structured data and clinical text for predicting atrial fibrillation recurrence

Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations

Hybrid deep learning novel framework for classification of parkinson’s disease

Vision transformers- Kolmogorov–Arnold networks-based consumer driven surface cracks classification model

Restoration of oracle bone inscriptions using a fast residual shrinkage denoising network with fractal gradient

Machine learning-based heat flux estimation from high-speed video during saturated pool boiling over vertical tube

Multi-class eye disease classification using deep learning EfficientNetB0 fusion techniques

A hybrid TimeGAN–xLSTM–Transformer framework for photovoltaic power forecasting under complex environmental conditions

Quantitative fat-fraction analysis of the rotator cuff muscles on clinical sagittal and coronal T1-weighted MRI using deep learning algorithms

Multi-scale fusion transformer for EV charging station load prediction

A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection

Swamp-AI: a deep learning model for monitoring wetlands change across the globe

Beyond relighting: RTI for clustering fragmented heritage textiles using deep learning

Multiscale voxel feature fusion network for large scale noisy point cloud completion in cultural heritage restoration

Large-Scale Histological Image Dataset with Metadata for Colorectal Cancer Microenvironment

Recurrent neural network long short term memory model to detect the pile toe using raw data of pile integrity test

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies

Serial cascaded hybrid adaptive deep networks-based lyrics text classification using optimization approach

De novo generation and in silico screening of anti-diabetic peptide candidates via a deep learning–attention framework with physicochemical feature fusion

Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products

Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients

A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2

A hybrid ResNet50-vision transformer model with an attention mechanism for aerial image classification

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images

A lightweight hybrid CNN and transformer model for medicinal leaf disease classification with explainable AI

An end-to-end convolutional neural network for secure image transmission via joint encryption and steganography

Automated cone photoreceptor detection using synthetic data and deep learning in confocal adaptive optics scanning laser ophthalmoscope images

Parameter-efficient convolutional neural network for drug treatment outcome studies of pediatric epilepsy

Learning hadron emitting sources with deep neural networks

Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups

Interpretable and generative deep learning models explicate phase separating intrinsically disordered motifs

XL-MSDigger: a deep learning-based, versatile solution for cross-linking mass spectrometry

Alzheimer’s disease prediction using deep learning and XAI based interpretable feature selection from blood gene expression data

Machine learning based power control in cellular and cell-free massive MIMO systems

Novel convolutional neural network for bacterial identification of confocal microscopic datasets

Enhanced diabetes prediction using pre-trained CNNs, LSTM, and conditional GAN on transformed numerical data

Benchmarking imputation strategies for missing time-series data in critical care using real-world-inspired scenarios

Foreign object detection on photovoltaic panels based on DHLNet

Integrating deep learning with physics based modeling enables high precision antibody antigen interface prediction

Attention-guided enhanced deconvolution enables reference-free cell type estimation in spatial transcriptomics

Expert-level probabilistic breathing event detector informs phenotyping of sleep apnea

Normal breast tissue (NBT)-classifiers: advancing compartment classification in normal breast histology

Non-local attention enhanced deep learning for robust cyberattack detection in industrial IoT-based SCADA systems

AI-assisted radiographic analysis in detecting alveolar bone-loss severity and patterns

MM-GradCAM: an improved multimodal GradCAM method with 1D and 2D ECG data for detection of cardiac arrhythmia

SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features

ReFaceX: donor-driven reversible face anonymisation with detached recovery

DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks

Working face status detection in coal mine based on YOLOv8-EST

Cross-stage edge information fusion network for small object detection in aerial images

ResNet18-ThunderSVM: Hybrid intelligence for handwritten digit recognition by fusing deep spatial features and high-performance classification

An improved MobileNet based on a modified poor and rich optimization algorithm for lithium-ion battery state-of-health estimation

The impact of visual emotional cues in cultural heritage on public sentiment and behavioral intention: an image emotion recognition approach

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis

A Large-Scale Peripheral Blood Cell Dataset for Automated Hematological Analysis

A hybrid learning framework for automated multiclass electrocardiogram classification with SimCardioNet

Real-world performance of an AI system for diabetic retinopathy screening

Hyperparameter optimization to enhance the performance of deep learning models for the early detection of invasive turtles in Korea

A hybrid approach for accurate skin lesion segmentation using LEDNet and Swin-UMamba

ConvAHKG: Action-based hybrid knowledge graph with a dual-channel convolutional approach for drug repurposing

Automated diagnostic of cervical spondylosis on multimodal medical images with a multi-task deep learning model

Reinforcement learning framework for computerized adaptive testing using multi armed bandit approach

Revolutionizing hyper spectral image denoising: a squeezenet paradigm

Diagnosis of disorders of consciousness using nonlinear feature derived EEG topographic maps via deep learning

Verifying Urdu news authenticity using deep learning with concatenated BERT and GloVe embedding

The evolution of object detection from CNNs to transformers and multi-modal fusion

A method for structural variant detection using Hi-C contact matrix and neural networks

Multi-scale defect detection technology for wind turbine blade surfaces based on the SASED-YOLO algorithm

The enhanced EME-YOLOv11 for real-time polarizer defect detection

High-resolution forecasting of soil thermal regimes using different deep learning frameworks under climate change

Plasmonic artificial inspector for herbal medicines via surface-enhanced Raman spectroscopy and deep learning

Entropy guided multi level feature fusion network for high precision content based image retrieval

A data privacy protection method for infectious disease prediction models with balanced training speed and accuracy

Combination of quantum-based optimizer and feature pyramid network for intrusion detection in Cloud-IoT environments

A novel deep learning approach for mosquito species classification via a dual-head structure and calibration-aware fusion architecture

Automated diagnosis of plus form and early stages of ROP using deep learning models

A frequency-spatial dual perception network for efficient and accurate medical image segmentation

A hybrid temporal convolutional attention model for water filter remaining useful life prediction

Significance of Atlantic sea surface temperature anomalies to Arctic sea ice variability revealed by deep learning

Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types

Deciphering exterior: building energy efficiency prediction with emerging urban big data

Enhanced YOLO12 with spatial pyramid pooling for real-time cotton insect detection

A DNABERT based deep learning framework for predicting transcription factor binding sites

Air quality prediction model based on deep learning hybrid framework

An efficient deep CNN based BiLSTM framework with RanA optimization for accurate cardiac arrhythmia detection

An improved YOLOv11 network for marine debris detection in underwater environment

A dual-stream deep learning framework for continuous sign language recognition to enhance communication accessibility in the Ha’il region

Noninvasive prediction of occult pT3a upstaging in localized ccRCC with radiogenomic insights and prognostic relevance

AI-based multiomics profiling reveals complementary omics contributions to personalized prediction of cardiovascular disease

Spatiotemporal heterogeneity-aware meta-parameter interaction learning for traffic flow forecasting

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification

MRI neuroimaging-based Alzheimer’s disease stage classification using deep neural network with convolutional block attention module and GAN-style noise injection