Academic Articles & Research Papers

Clinical Characteristics and Machine Learning-Based Severity Classification of Chlamydia psittaci Pneumonia: A Retrospective Cohort Study.

Vegetation cover change and classification-based zonation of Fanjing Mountain using google earth engine.

Making Microplastics Matter: Classification, Politics and the Lives of Microplastics as Environmental Objects.

Delivery of cardiac rehabilitation through hybrid models and alternative settings by country income classification and decade: Comparisons from the International Council of Cardiovascular Prevention and Rehabilitation's 2025 Global Audit Update.

An urban patrol case urgency classification method based on self-supervised clustering of a graph neural network.

Failure Modes of Screw Fixation in Slipped Capital Femoral Epiphysis: A Proposed Life-Cycle Classification.

Deep learning-based segmentation, grading and genotype classification of glioma: a literature analysis.

Quantifying Diagnostic Misclassification and Inpatient Mortality Determinants in Scrub Typhus: A Systematic Review and Interaction Meta-Analysis of Acute Undifferentiated Febrile Illness (AUFI) Cohorts in India.

The application of Chicago classification 4.0 in esophageal motility disorders of scleroderma: a case-control study in China.

Nomenclature, classification, and in-silico structural analysis of MSP1a variants of Anaplasma marginale.

Machine learning classification of digital exclusion in ageing populations across five international cohorts.

Adaptive Liquid State-Space Networks: A Novel Neuro-Dynamic Architecture for Tabular Classification with Application to Anemia Diagnosis.

Machine Learning, Deep Learning, and IoT for Waste Classification and Intelligent Waste Management: A PRISMA-Based Systematic Review.

A field-acquired tea leaf image dataset for disease and pest-damage classification in Bangladesh.

Urban sprawl analysis of the city of Kerman via remote sensing

Objective: Over the past few decades, the increase of world’s urban population has resulted in uncontrolled urban expansions. Accordingly, determining urban development and sprawl should be taken into consideration. Methods: This article ai...

Optimization Method for Classifier Output Repeatability Based on Siamese Networks

In industrial surface Quality Control (QC) scenarios, deep classification neural networks are widely used to classify product images for qualified judgment or quality grading. However, surface QC equipment equipped with deep classification ...

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection

Background/Objectives: Pneumothorax, caused by air accumulation in the pleural space, can lead to lung collapse and, if diagnosis is delayed, respiratory or cardiovascular deterioration. Most deep-learning studies on pneumothorax address cl...

Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques

Abstract This study addresses the significant issue of rapid land use and land cover (LULC) changes in Lahore District, which is critical for supporting ecological management and sustainable land-use planning. Understanding these changes is...

Automatic Detection of Abnormal EEG Signals Using WaveNet and LSTM

Neurological disorders have an extreme impact on global health, affecting an estimated one billion individuals worldwide. According to the World Health Organization (WHO), these neurological disorders contribute to approximately six million...

An Improved Supervised-LDA Text Model and Its Application

Supervised-Latent Dirichlet Distribution Allocation (s-LDA) model cannot handle the multi-label problem and s-LDA model is not correct distribution in the classification model.The Supervised Labled-LDA(sl-LDA) model is proposed by adding a ...