💻 Category

cs

863 papers

💻 computer science

Assigning and optimising airport ground-handling operations: an rVNS metaheuristic

This paper presents a cooperative reduced Variable Neighbourhood Search (rVNS) metaheuristic to optimize the complex Multi-Trip Capacitated Vehicle Routing and Scheduling Problem with Time Windows and Meal Breaks (MTCVRSPTW-MB) for airport catering operations, demonstrating its superior efficiency and mileage reduction over exact methods on real-life instances at San Francisco International Airport.

Alexandre Dupaquis, Ronan Guivarch, Sandrine Mouysset, Daniel Ruiz, Vincent Charvillat, Frédéric Bouilhaguet2026-07-07
💻 computer science

Autonomous Research Assistant: An AI-Powered System for Automated Paper Discovery, Summarization, Domain Classification, and Citation Generation

The Autonomous Research Assistant is a full-stack AI web application that leverages the Semantic Scholar API, a fine-tuned Linear SVM classifier, and Google Gemini 2.5 Flash to automatically discover, classify, summarize, and cite academic papers, thereby reducing manual literature review time by 70%.

Gnaneshwar Dontireddy, Yedukondalu Reddy, T. Narashimha Rao2026-07-07
💻 computer science

From Organizational Knowledge to AI Agent Memory: Empirical Validation of the SECI Model on the LongMemEval Benchmark

This paper empirically validates the application of the SECI knowledge creation model to AI agent memory by demonstrating that transforming conversational history into structured knowledge significantly outperforms raw verbatim storage in long-term retrieval tasks, primarily by mitigating embedding window truncation that causes raw storage to lose approximately 90% of session content.

Dmitrij Żatuchin2026-07-07
💻 computer science

Adaptive Mutation Driven Harris Hawk Optimization Algorithm in Hybrid Flow Workshop Scheduling with Robotic Arm

The paper proposes an Adaptive Mutation Driven Harris Hawk Optimization (AMDHHO) algorithm that integrates Levy flight and dynamic mutation strategies to effectively solve hybrid flow shop scheduling problems with robotic arms, demonstrating significant reductions in maximum completion time and average waiting time compared to genetic algorithms and original scheduling plans.

Bin Li2026-07-07
💻 computer science

Classification Fidelity of Large Language Models on Endodontic Items from the Turkish Dental Specialty Examination

This study evaluates the classification fidelity of four large language models in categorizing endodontic examination questions across three educational taxonomies, revealing that while models like Gemini and DeepSeek achieve substantial agreement for Bloom's and SOLO taxonomies, all models struggle with Miller's Pyramid, demonstrating that LLM performance is taxonomy-dependent and distinct from answer accuracy.

Bilge Hakan Şen, Aslıhan Yekeler, Duygu Kürklü Arpaçay, Jülide Ocak, Oğuzhan Akkoçan2026-07-07
💻 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