💻 computer science

Multidimensional Exploration of Influencing Factors of College Students' Academic Performance: An Empirical Study Based on 18 Machine Learning Algorithms

This empirical study analyzes data from 145 UCI students using 18 machine learning algorithms to identify that the LightGBM model most accurately predicts academic performance, revealing that personal and school education factors (such as gender, age, part-time work, and class listening) are the primary drivers of success while family factors have a weaker impact, thereby enabling the development of an interpretable Shiny application for personalized academic interventions.

Chen Shen, Tongping Shen2026-07-15
💻 computer science

AI-Driven Collective Adaptation Testbed: A Multi-Agent Architecture Grounded in Dual-Inheritance Theory

This paper introduces the Collective Adaptation Testbed (CAT), a multi-agent software architecture grounded in Dual-Inheritance Theory that resolves the governance paradox of quantitative metrics by intercepting team decisions to distinguish between blind conformity and expertise-driven dissent, thereby enabling the system to autonomously revise its own rules based on retrospective outcome data.

Volkan Aşkun2026-07-15
💻 computer science

Interpretable-Aware Privacy Preserving Framework for Deepfake Detection using Federated ResNet and Explainable AI Techniques

This paper proposes a privacy-preserving deepfake detection framework that integrates Federated Learning with ResNet-18 and the FedProx algorithm to achieve high accuracy (97.20%) on the FaceForensics++ dataset while ensuring data security and model interpretability without transferring raw images.

Pochampally Chandra Sekhar Reddy, Kongara Srinivasa Rao2026-07-15
💻 computer science

Uncertainty-Aware Assessment of LLM-Enhanced Topic Models: An Experton-Based Approach to Interpretability

This study introduces an uncertainty-aware evaluation framework based on the Theory of Expertons to assess topic models in specialized tourism corpora, demonstrating that LLM-enhanced BERTopic outperforms traditional and neural approaches while revealing that decoding temperature significantly impacts interpretability.

Eddy Soria, Antonio Moreno, Jordi Pascual, Ana Beatriz Hernández-Lara2026-07-15
💻 computer science

Multi-view Patch Inference with Frozen DINOv3 for Industrial Anomaly Detection

This paper proposes a framework for industrial anomaly detection that combines a frozen DINOv3 backbone with a Multi-view Patch Inference strategy to overcome boundary information loss and a Multi-scale Reconstruction Fusion Transformer to model normal feature distributions, achieving state-of-the-art performance on multiple benchmark datasets.

Chaoqun Wang, Wenjing Zhang, Bo Qi, Xiaoyu Huang, Ning He2026-07-15
💻 computer science

LAR-Net: A Lightweight Adaptive Receptive Field Network for Point Cloud Segmentation of Pharmaceutical Deposits on Reactor Inner Walls

This paper proposes LAR-Net, a lightweight adaptive receptive field network built on the LitePT backbone that dynamically adjusts to local geometric complexities to achieve high-precision point cloud segmentation of pharmaceutical deposits on reactor inner walls, thereby overcoming the limitations of conventional inspection methods and enabling automated intelligent cleaning.

Jiajia Liu, Haiyang Wang, Zhongli Ma, Yuedong Shi, Bingyu Chen, Sidong Wu, Ting Zhang2026-07-15