cs papers | Gist.Science

A Deep Learning and TOPSIS Framework for Predictive Maintenance Scheduling in Smart Manufacturing: An Industry 4.0 Approach

This paper proposes an Industry 4.0 framework that integrates deep learning-based Remaining Useful Life prediction with the TOPSIS multi-criteria decision-making method to optimize predictive maintenance scheduling, demonstrating statistically significant improvements in resource efficiency and failure prioritization across turbofan and bearing fault datasets.

Md Mohsin Uddin Fahim, Amit J. Lopes2026-08-07

💻 computer science

TongGuOCR: A Layout-Aware and Token-Augmented OCR Framework for Chinese Historical Documents

TongGuOCR is a novel layout-aware and token-augmented OCR framework designed to accurately transcribe Chinese historical documents by employing a preprocessing module for coherent recognition blocks and a token-augmented recognition module that expands vocabulary for rare characters and models spatial transitions, thereby significantly outperforming existing traditional and multimodal models on challenging benchmarks.

Zhongheng Zhou, Yi Sun, Huiguo He, Yuyi Zhang, Peirong Zhang, Yulin Fang, Dezhi Peng, Minghui Liao, Lianwen Jin2026-08-07

💻 computer science

Calibrating Gemini to Human Raters in Spoken Language Assessment for EFL Learners in Asia

This study demonstrates that while Gemini 2.5 Flash can achieve human-level agreement in assessing EFL learners' spoken English through 10-shot prompting when human raters show moderate consistency, its performance deteriorates when human agreement is excellent, highlighting the need for careful calibration and human supervision despite its ability to evaluate beyond mere word accuracy.

Christopher Robert Cooper, John Maurice Gayed2026-08-07

💻 computer science

Toward Sustainable On-Device Intelligence: A Survey on Energy-Efficient RAG Systems with Small Language Models

This survey synthesizes research on energy-efficient Retrieval-Augmented Generation (RAG) systems for resource-constrained edge devices by reviewing model compression, lightweight architectures, and sustainability metrics, while introducing the ALEMC framework to guide the design of sustainable on-device intelligence.

Zhiyuan Cheng, Longying Lai, Yue Liu, Yu Sun2026-08-07

💻 computer science

StableEval Arena: A Cost-Aware Agentic Benchmark for Stablecoin Price Stability Prediction

StableEval Arena is a cost-aware benchmark framework that evaluates LLM-backed agentic systems on stablecoin peg-risk prediction by measuring a joint spectrum of forecast quality, operational reliability, and computational cost, revealing that while agents reliably produce structured outputs, they struggle to accurately predict rare severe-stress and sustained-depeg events.

Sean Wan, Dongping Liu, Luyao Zhang2026-08-07

💻 computer science

HERMES: Provably Secure Private Accounts for Account-Model Blockchains via Commitment-Coherent Encryption

This paper introduces HERMES, a unified framework that achieves balance privacy, transaction-amount indistinguishability, and sender-receiver unlinkability for account-model blockchains by leveraging commitment-coherent encryption under the Decisional Diffie-Hellman assumption without requiring a trusted setup.

Haofeng Guo2026-08-07

💻 computer science

Visual Transformation Mechanisms for Integrating Digital Cultural Heritage Resources into Junior High School Art Curricula

This paper presents a modular visual transformation model that integrates computer vision and rule-based matching to standardize the processing of digital cultural heritage resources, such as Dunhuang murals, into automated art curriculum tasks and evaluations, demonstrating significant improvements in student learning outcomes and high alignment with teacher assessments in a junior high school setting.

Ji Wu, Jing Zhang, Di Wu, Yiming Peng2026-08-07

💻 computer science

Testing JSON Schema Instruction Artifacts: Distributional Robustness under Validation-Equivalent Serialization and JSON Mode

This study demonstrates that validation-equivalent JSON Schema serializations can induce statistically significant and practically meaningful changes in language model output distributions, revealing that validation equivalence alone is an insufficient regression oracle for ensuring distributional robustness in deployed systems.

Shengyao Sun2026-08-07

💻 computer science

BRB-GNN: Hybrid Belief Rule Base and Graph Neural Network Framework for Interpretable Fault Diagnosis in Wireless Sensor Networks

This paper proposes BRB-GNN, a hybrid framework combining Graph Neural Networks for spatial feature extraction and a Belief Rule Base for interpretable classification, to effectively diagnose multiple simultaneous faults in Wireless Sensor Networks with demonstrated performance on both synthetic and real-world datasets.

Rajesh Kumar Prasad2026-08-07

💻 computer science

CardioTrust: Trustworthy Retrieval Augmented Clinical Decision Support for Personalized Cardiovascular Disease Prediction

CardioTrust is a novel, trustworthy AI framework that integrates machine learning risk stratification, prediction-guided Hybrid Retrieval Augmented Generation, and SHAP explainability to deliver highly accurate, transparent, and clinically grounded personalized cardiovascular disease predictions, significantly outperforming traditional baseline models.

Veerababu Reddy, Vasavi Durga Potla, Baji Noorbasha, Karthik Reddy Vajrala, Sadwika Bollu2026-08-07

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