💻 Category

cs

2787 papers

💻 computer science

Combining Generative AI and Knowledge Graphs in an Agent-Based Framework for Explainable Industrial Plant Intelligence

This paper proposes a modular multi-agent framework that integrates process mining, dynamically updated Knowledge Graphs, and retrieval-augmented Large Language Models to enable explainable, semantic analysis of industrial production processes and supply chains, thereby reducing manual effort and enhancing human decision-making in the transition toward Industry 5.0.

Marco Gotelli, Filippo Ghisi, Matteo Mangini, Fabrizio Barpi, Antonio Giovannetti2026-08-11
💻 computer science

A Topology-Driven Quantum Suitability Estimator for Hybrid QAOA–Classical Pipelines

This paper introduces QSE, a topology-driven estimator that uses polynomial-time graph features to predict the expected performance gap of classical heuristics versus exact Max-Cut solutions, enabling a hybrid pipeline to dynamically route subgraphs to quantum algorithms, classical heuristics, or human review while documenting critical engineering corrections that ensured the physical validity of the underlying QAOA simulations.

Rohan Boddu2026-08-11
💻 computer science

A Multi-Modal Learning Analytics Framework for Academic Early Warning and Student Risk Prediction in Higher Education

This study proposes and validates a multi-modal learning analytics framework that integrates diverse academic, demographic, behavioral, and psychological data with advanced ensemble tree models to accurately predict student risk levels (low, medium, high) and enable proactive academic intervention in higher education.

Zhuotao Fang, Zhen Yan, Taotao Chen, Weixing Zou2026-08-11
💻 computer science

Evaluating Hyperparameter Sensitivity in Temporal Convolutional Networks for Short-Term Electric Load Forecasting Using Grid Search

This study utilizes a systematic grid search on Queensland's half-hourly load data to demonstrate that optimizing five key hyperparameters in Temporal Convolutional Networks—specifically identifying a configuration with a 336-step input size and 0.0005 learning rate—can reduce forecasting error by over 55% compared to a reference model, highlighting that coordinated parameter tuning is more critical than simply increasing model capacity for short-term electric load prediction.

Tuan Anh Nguyen, Thanh Ngoc Tran2026-08-11
💻 computer science

FeatExtractNet: Point Cloud-Enhanced Architecture for Thermal and Acoustic FieldPrediction

This paper proposes FeatExtractNet, a point cloud-enhanced neural architecture that employs domain-specific designs—combining multi-level feature extraction with cross-layer gated fusion for irregular thermal fields and Fourier feature residual MLPs for regular acoustic grids—to significantly improve solution accuracy and reduce relative L2 errors in predicting complex thermal and acoustic fields governed by nonlinear partial differential equations.

Xun Yuan, Gulin Wang, Junxiang Yang, Hongfei Guo, Jianqing Li2026-08-11
💻 computer science

MERT-SpecAMGCNet: Attention-Modulated Gated Convolutional Network for Robust Music Genre Classification with Cross-Dataset Generalization

This paper proposes MERT-SpecAMGCNet, a dual-branch architecture that effectively combines pretrained MERT waveform representations with a frequency-aware log-Mel spectral branch using gated convolutions and attention mechanisms to achieve robust music genre classification and strong cross-dataset generalization.

Agrima Malviya, Rashi Agarwal2026-08-11
💻 computer science

Topology-Constrained Attention Networks: A Topology-Derived Robustness Margin for High-Frequency Cyber-Physical Systems

This paper proposes Topology-Constrained Attention Networks (TCAN), an architecture that integrates differentiable topological kernels into self-attention mechanisms to derive a theoretical robustness margin against adversarial attacks in high-frequency cyber-physical systems, outlining a mathematical framework and experimental protocol for future validation without yet presenting empirical results.

Anmol Devansh2026-08-11
💻 computer science

Graph and Low-Rank Based Cluster-Prototype Matching for Transductive Zero-Shot Learning

This paper proposes the Graph and Low-Rank based Cluster-Prototype Matching (GLCPM) model, a transductive zero-shot learning approach that utilizes a teacher-student framework to learn a low-rank mapping preserving both the local intrinsic structure and sub-manifolds of embedded samples, thereby improving unseen class recognition through an ensemble classifier that combines cluster-prototype and sample-prototype similarities.

Manliang Cao, Xukang Han, Xin Chen, Sha Li2026-08-11
💻 computer science

A Privacy-Preserving Federated Intrusion Detection Framework with Reputation-Aware Client Selection and Integrity Verification

This paper proposes a privacy-preserving federated intrusion detection framework for Industrial Internet of Things networks that utilizes client-level DP-SGD, hashing for integrity, and a lightweight reputation-based client selection mechanism to achieve over 98% accuracy in non-IID environments without sharing raw data.

Mahdiyeh Velaei, Mehdi Aminian, Seyyed Amir Asghari, Mohammad Faraji-Mehmandar2026-08-11