💻 Category

cs

2786 papers

💻 computer science

Ant colony optimization plus Temporal difference and opposition-based learning for semi-supervised multi-label feature selection

This paper proposes a novel semi-supervised multi-label feature selection method that integrates Ant Colony Optimization, Temporal Difference reinforcement learning, and Opposition-Based Learning to significantly improve accuracy and reduce Hamming loss on limited labeled data, albeit with higher computational costs suitable for precision-driven applications.

Sahar Shams Beyranvand, Vahid Mehrdad, Mohammad Bagher Dowlatshahi2026-08-28
💻 computer science

Design and Validation of an Enterprise Architecture Framework for ROP Surveillance: A Multi-Layer Interoperability Approach

This study employs Design Science Research and a Delphi study to design, validate, and empirically confirm a four-layer, standards-based enterprise architecture framework that effectively addresses interoperability and fragmentation challenges in national-level Retinopathy of Prematurity surveillance for middle-income countries.

Maryam Mollabagher, Alireza Hassanzadeh, Mohammad Mehdi Sepehri, Abbas Habibelahi, Abolghasem Sarabadani2026-08-28
💻 computer science

CHIMERA-Tab: A Scalable AI-Driven Framework for Automated Feature Selection and Heterogeneous Stacking in Imbalanced Banking Data Classification

This paper introduces CHIMERA-Tab, a scalable AI framework that integrates chaotic metaheuristic preprocessing with a heterogeneous stacking ensemble of TabNet and gradient boosting models to achieve state-of-the-art performance in imbalanced banking classification, demonstrating that the stacking architecture is the primary driver of accuracy while chaotic preprocessing enhances feature selection and interpretability.

Anilkumar Vishwanath Brahmane, P. William, Shashikant Raghunathrao Deshmukh, Elviz Ismayilov, Smita Nirkhi2026-08-28
💻 computer science

Hardness-Aware Kernelized Contrastive Learning for Brain Age Prediction

This paper proposes a hardness-aware kernelized contrastive learning framework for brain age prediction from T1-weighted MRI that improves upon existing methods by explicitly emphasizing representation-label inconsistencies in age-similar pairs, achieving superior accuracy and robust embedding organization across multi-site datasets.

Xiaoshuai Liu, Xinxin Liu, Haoyang Wang, Xianjun Fu, Yifei Chen, Ahmed Elazab, Taosheng Xu, Kai Chen, Yongquan Zhang, Fe (…)2026-08-28
💻 computer science

Comparing the Predictive Value of Structured Digital Features and Clinical Text for Inpatient Liver Failure Prediction: A Large-Scale Real-World EHR Study

In a large-scale study of nearly 90,000 inpatient admissions, structured digital laboratory features significantly outperformed clinical free text for predicting liver failure, demonstrating that objective numerical data captures the condition's diagnostic criteria far more effectively than narrative clinical notes.

Zhikai Yu, Jing Li2026-08-28
💻 computer science

Closing the Benchmark Gap in Browser-Extension Proctoring: A Formally Specified, Reproducibly Evaluated Architecture for Real-Time, BYOD-Compatible Examination Malpractice Detection

This paper introduces HBMDS, the first formally specified and reproducibly evaluated browser-extension architecture for real-time exam malpractice detection, which empirically benchmarks its 98–100% accuracy, sub-500ms latency, and low resource footprint to provide institutions with an evidence-based alternative to vendor claims for BYOD-compatible proctoring.

C. O. Uzonu, K. O. Afolabi, A. B. Muhammad2026-08-28
💻 computer science

Lightweight Dual-Path Network with Dynamic Distillation for Industrial LED Defect Recognition

This paper proposes a lightweight dual-path network with dynamic distillation to address challenges in industrial LED defect recognition, achieving high accuracy and generalization on imbalanced datasets through adaptive hierarchical fusion and a dual-level knowledge transfer scheme.

Jun Deng, Jiaming Zhong, Bingchun Jiang, Yanping Li, Bangquan xie, Chaoen Tan, Qinchuan Lei, Nannan Li, Fuqin Deng, Min (…)2026-08-28
💻 computer science

A human-validated procedure for linking PhD dissertation metadata to OpenAlex author profiles

This paper presents and validates a generalizable, human-verified method that combines character-level, topical, and transformer-based similarity measures to reliably link PhD dissertation metadata to OpenAlex author profiles, achieving high accuracy in tracking academic career trajectories and revealing that approximately 17.3% of North American PhD graduates cannot be linked to subsequent publications.

Jens Peter Andersen, Chaoqun Ni2026-08-28
💻 computer science

Multi-Depot Vehicle Routing Problems: A Narrative Review of Problem Variants, Algorithms, and Benchmarking Practices (2021–2026)

This narrative review systematically analyzes 100 studies on the Multi-Depot Vehicle Routing Problem (MDVRP) published between 2021 and 2026, highlighting the field's evolution toward complex real-world constraints like time windows and sustainability, the dominance of hybrid metaheuristics alongside emerging learning-based methods, and the inconsistent state of benchmarking practices.

Rafiatun Ferdous Khan Lubaba, Md. Ashiqur Rahman Hridoy, MD. Aidid Alam2026-08-28