💻 computer science

A ResNet-50 Classifier with Grad-CAM and SHAP for Explainable Breast Cancer Detection in Dense Mammography: Comparison with Human Radiologist Performance

This study demonstrates that a ResNet-50 classifier enhanced with Grad-CAM and SHAP explanations can surpass human radiologist sensitivity in detecting breast cancer within dense mammograms, achieving 72.2% sensitivity while providing actionable visual insights to support its deployment as a second-reader tool that flags high-confidence cases and defers ambiguous ones to clinicians.

Agostinho Sousa Pinto, António Abreu, Manuel Pérez Cota, Jerónimo Paiva, Laís Gabriele Vieira2026-07-07
💻 computer science

Civil aviation passenger traffic forecasting using a hybrid SSA and sparrow-search-optimized MLP-BP model

This study proposes a hybrid forecasting model that integrates Singular Spectrum Analysis (SSA) for data decomposition, a backpropagation-trained multilayer perceptron (MLP-BP) for component modeling, and the Sparrow Search Algorithm (SpSA) for parameter optimization, demonstrating superior accuracy in predicting China's civil aviation passenger traffic compared to conventional methods.

Tiantian Tang, Qingsong Liu, Sibo Wang, Zhongze Li, Baicheng Guo, Haolin Liu, Peixuan Duan, Haiwen Xu2026-07-07
💻 computer science

K-PSO Based Energy Aware Clustering Algorithm for Environmental Monitoring Wireless Sensor Networks

This paper proposes a hybrid K-PSO clustering algorithm that combines K-Means and Particle Swarm Optimization to optimize cluster head selection in environmental monitoring wireless sensor networks, significantly improving energy efficiency, extending network lifetime, and enhancing cluster head stability compared to traditional methods.

Ayobami Adedokun, Folasade Dahunsi, Jide Popoola2026-07-06
💻 computer science

Accumulated-History Replicator SelectionOptimization: Algorithm Design, TheoreticalGrounding, and Experimental Analysis (MycelialNetwork Optimization)

This paper introduces the Accumulated-History Replicator Selection (AHRS) framework and its Mycelial Network Optimization (MNO) algorithm, which leverage exponentially weighted historical fitness data to outperform standard population-based optimizers on complex, non-separable landscapes while being theoretically grounded in evolutionary game theory and Fisher's Fundamental Theorem.

Rahul Kumar Mishra2026-07-06
💻 computer science

Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Literature Review

This literature review synthesizes 103 records to categorize AI-based 3D radiological image reconstruction methods into four representation families—discrete grids, explicit basis expansions, explicit primitives, and implicit neural representations—while evaluating their respective strengths, limitations, available resources, and critical clinical challenges.

Yuezhe Yang, Lei Bi, Boyu Yang, Yaqian Wang, Yang He, Yige Peng, Zhe Jin, Xingbo Dong, Jinman Kim2026-07-06
💻 computer science

SWCB-YOLO: Toward Robust and Real-Time Wind Turbine Blade Defect Detection in Unstructured Natural Environments

The paper proposes SWCB-YOLO, a lightweight real-time detector for wind turbine blade defects that integrates a Curvature-Aware Shape IoU loss, an Asymmetric Strip Swin-TransformerV2 module, and a Frequency-Spatial Dual-Domain Attention mechanism to achieve robust detection in unstructured environments with 89.0% mAP@50 on a field dataset while running at 35 FPS on edge hardware.

Bingyu Cao, Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang2026-07-06
💻 computer science

Safe Deployment of a Generative AI Assistant for Traditional-Medicine Education: Defense-in-Depth Architecture, Domain-Calibrated Safety Evaluation, and a Proposed Minimum Safety Stack

This paper presents TLAS-YHCT, a generative AI assistant for traditional-medicine education that achieves 100% safety against domain-specific attacks through a defense-in-depth architecture, demonstrating that clinically calibrated safety standards and a minimum safety stack combining RAG, standardized prompting, and LLM-as-judge verification are essential for safe deployment in clinical education.

Ta Bich Hong, Tran Tan Linh, Le Hoang Oanh, Nghiem Thi Thuy Giang, Tran Tang, Le Thi Thuy Tien, Thi Ngoc Anh Bui2026-07-06
💻 computer science

Optimization method for area controller scheduling integrating efficiency, fatigue, and fairness

This paper proposes a collaborative optimization method based on the multi-objective marine predator algorithm (MOMPA) and constraint programming to generate area air traffic controller schedules that effectively balance operational efficiency, fatigue risk, and working time fairness, demonstrating superior performance and engineering feasibility through validation with real-world data.

Tiantian Niu, Haoran Gao, Zhengyi Hu, Cong Qian, Xin He, Xiaobo Zhu2026-07-06