Academic Articles & Research Papers

Development and Validation of a Nonremission Risk Prediction Model in First-Episode Psychosis: An Analysis of 2 Longitudinal Studies.

Data heterogeneity and algorithmic bias in AI-based antimicrobial resistance prediction: a systematic review and mitigation framework.

Artificial Intelligence in Eye Disease: A Systematic Review of Screening, Diagnosis, Prognosis, Treatment-Response Prediction, and Clinical Decision Support.

AI-Based Grading of Facial Aging Signs and Prediction of Visible Age From Standardized Facial Images: Algorithm Development and Internal Evaluation Study.

Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems.

Comparing watershed-based spatial units and administrative boundaries for malaria prediction in the Peruvian Amazon.

Validating Time-Series Regression Model Predictions of Influenza Mortality: An Interrupted Time-Series Analysis.

Development and validation of a dementia risk prediction model for low- and middle-income countries: the 10/66 study.

Stacked enviromic-genomic models improve prediction of genotype performance in new environments.

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...

Optimal pre-train/fine-tune strategies for accurate material property predictions

Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods

Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is necessary to distinguish the importance of risk factors of cervical cancer to classify potential patients. The present work proposes a cervical can...

LncRNA-Top: Controlled deep learning approaches for lncRNA gene regulatory relationship annotations across different platforms

Summary: By soaking microRNAs (miRNAs), long non-coding RNAs (lncRNAs) have the potential to regulate gene expression. Few methods have been created based on this mechanism to anticipate the lncRNA-gene relationship prediction. Hence, we pr...

A Novel Construction Method of Bayesian Neural Networks Based on Multi-type Engineering Knowledge

Abstract In the field of engineering, the utilization of surrogate models to replace computationally intensive simulation software has become a widely adopted approach. However, when addressing complex engineering problems, the costs of sim...

Field-Aware Click-Through Rate Prediction Model Based on Attention Mechanism

Click-Through Rate(CTR) prediction is one of the most important tools for ad placement.Predicting the CTR of an ad and making recommendations to users can increase ad revenue.Field-aware click-through rate prediction models are superior to ...

Alterations in Hip and Knee Joint Contact Force Waveforms and Orientation Induced by Gait Modifications: A Case Study

Introduction & Purpose Idiopathic torsional deformities of lower limb bones can affect a patient’s gait pattern and joint health, while their cause remains unidentified (Koller et al., 2026). Abnormal joint loadings and the progression of ...

BP Neural Network–Based Kalman Filtering Method Under Multiple Cyberattacks

This paper proposes a Kalman-gain-driven neural Kalman filtering (KF) defense framework, termed KFDBP, for secure state estimation in cyber–physical systems (CPSs) under denial-of-service (DoS), spoofing, and replay attacks. Unlike end-to-e...

Clustering Ensemble Joint Similarity Recommendation Algorithm Optimized by Improved Bee Colony

The collaborative filtering algorithm is widely used in the field of recommendation because of its good recommendation effect,which nonetheless is significantly reduced when the data is sparse and from a cold start.In this case,in order to ...

Behavioral Economics and Public Policy: A Pragmatic Perspective

The debate about behavioral economics–the incorporation of insights from psychology into economics–is often framed as a question about the foundational assumptions of economic models. This paper presents a more pragmatic perspective on beha...