💻 Category

cs

2833 papers

💻 computer science

MMIF-MESFusion：Coupling Modality-Specific Enhancement and Statistics- Guided Adaptive Fusion for Medical Image Fusion

This paper proposes MESFusion, a novel framework that addresses heterogeneous feature distribution and adaptive integration challenges in multimodal medical image fusion by combining a Modality-Aware Enhancement module, a Spatial Gated Mamba module for long-range dependency capture, and a Statistical-Guided Adaptive Fusion module to achieve robust, high-quality fusion across diverse datasets.

Ming Gong, XinWang Wang, Xinlan Chen, Wenze Kan2026-08-06
💻 computer science

A Lightweight Feature Recalibration Strategy for Fourier Contour Regression in Remote Sensing Object Detection

This paper proposes a lightweight feature recalibration strategy that enhances the accuracy of Fourier contour regression for remote sensing object detection by adaptively emphasizing relevant channels in the coefficient regression branch, achieving significant performance gains on multiple benchmarks with negligible computational overhead.

Hongyun Zhang, Jin Liu, Jiahui Li2026-08-06
💻 computer science

Explainable Artificial Intelligence (XAI) Adaptive Encryption Email Security Cybersecurity Machine Learning

This paper proposes an Explainable Sensitivity-Aware Encryption Framework that utilizes a Random Forest model with SHAP interpretability to dynamically assess email sensitivity and apply adaptive hybrid AES–ECC encryption, thereby balancing computational efficiency with robust protection for enterprise communications.

Hussein Aly Jad Jad, Nada Amr Shaheen Shaheen, Mohammed Haytham Allam Allam, Mahmoud Ali Shehata Shehata2026-08-06
💻 computer science

Agentic CAMA-DRL: A Context-Aware Multi-Agent Deep Reinforcement Learning Framework for Multi-Stakeholder Charging Coordination of Last-Mile Delivery E-Bikes

This paper proposes Agentic CAMA-DRL, a context-aware multi-agent deep reinforcement learning framework that coordinates delivery operators, charging stations, fleet planners, and environmental regulators to optimize e-bike charging in urban last-mile logistics, achieving significant improvements in fleet utilization, punctuality, congestion reduction, and CO2 emissions compared to traditional rule-based approaches.

Muddsair Sharif, Huseyin Seker2026-08-06
💻 computer science

A Generalizable Seven-Step Workflow for Stacking Ensemble Learning: Data Leakage Auditing, Cross-Institutional Validation, and Negative Findings in Educational Data Mining

This study proposes a generalizable seven-step workflow for stacking ensemble learning in educational data mining that, through rigorous cross-institutional validation and data leakage auditing, reveals that algorithmic complexity alone cannot ensure predictive accuracy and underscores the critical necessity of institutional calibration and methodological rigor.

Jing Gao, Dong Lin, Jianfeng Hu2026-08-06
💻 computer science

A Classification-Regression Cooperative Fuzzy Surrogate- Assisted Evolutionary Algorithm for Expensive High- Dimensional Multi-Objective Optimization

This paper proposes HDFC-ASS, a classification-regression cooperative fuzzy surrogate-assisted evolutionary algorithm that integrates a variable-correlation-guided Kriging strategy, a fuzzy classifier-assisted local exploitation mechanism, and a convergence-diversity-uncertainty cooperative criterion to effectively solve expensive high-dimensional multi-objective optimization problems under strict evaluation budgets.

Yishan Zhao, Xianwen Wei, Guoliang Sun, Kaiping Song2026-08-06
💻 computer science

Feasibility Study of Multilight Facial Imaging for Multiparameter Skin Assessment Using Lightweight Convolutional Neural Network

This study proposes a lightweight MobileNetV2-based CNN for multiparameter skin assessment using multi-light facial imaging, demonstrating the approach's potential while highlighting current limitations in feature extraction and performance due to dataset imbalance and small sample size.

Detak Yan Pratama, Mohammad M. Afandi, Ghinasti Khansa Hamidah, Desiana Widityaning Sari, Muhammad Nazhif Haykal, Sefi N (…)2026-08-06
💻 computer science

Development of an Ensemble Deep Learning Model for Breast Cancer Diagnosis

This study proposes an ensemble deep learning model combining InceptionResNetV2 and ResNet-18, trained on locally sourced Nigerian mammogram data, which achieved a 99.26% accuracy in classifying breast cancer into BI-RADS categories, outperforming individual models and highlighting the importance of using locally representative datasets for AI development.

Musibau Adekunle Ibrahim, Taye Abidakun, Patrick Ozoh2026-08-06
💻 computer science

LiteChestGreenXY11n: A Lightweight Explainable YOLO Framework for Energy-Efficient Chest X-ray Abnormality Localization with Clinical Deployment Assessment and with Experimental Case Study

This paper introduces LiteChestGreenXY11n, a lightweight and explainable YOLO11n-based framework that achieves an optimal balance between diagnostic accuracy, computational efficiency, and energy sustainability for chest X-ray abnormality localization, outperforming larger models while enhancing clinical trust through Grad-CAM visualization.

A. Anushya, Sarah Alfayez, Harish Kumar Pamnani, Smaranika Mohapatra2026-08-06