cs papers | Gist.Science

Contribution-Aware Federated Edge Learning for Robust Resource Allocation in Massive IoT Networks

This paper proposes a contribution-aware federated edge learning algorithm (CA-FE-MADDPG) that integrates spatial interference modeling, fine-grained penalty mechanisms, and heuristic-guided initialization to address spectrum interference, unfair credit allocation, and environmental non-stationarity in massive IoT networks, thereby significantly improving system throughput, access rates, and quality of service.

Hui Dun, Aowei Liu, Eryang Huan, Zhiyong Niu2026-07-08

💻 computer science

ADEST-U-Net: A Dual-Encoder Architecture for Cross-Organ and Cross-Modality Transfer Learning in Data-Scarce Medical Image Segmentation

This paper proposes ADEST-U-Net, a dual-encoder architecture that leverages cross-organ and cross-modality transfer learning from MRI brain tumor models to significantly improve liver tumor segmentation accuracy and reduce false positives in CT scans under data-scarce conditions.

Riham Jeeballah, Hamza ZIDOUM, Adhari Al zaabi, Abdelhamid Abdessalem2026-07-08

💻 computer science

A Multi-Agent Generative AI Framework for Explainable Stock Market Analysis in Indian Equity Market

This paper presents a five-agent generative AI framework that integrates technical, fundamental, and sentiment analysis with anomaly detection and LLM-based reasoning to provide explainable, confidence-aware stock market predictions for Indian equities, achieving 72% directional accuracy and 78% cross-agent consensus.

R Ashok Kumar, Prashanth Gowda G D2026-07-08

💻 computer science

Software Framework for Anthropocentric Dispatch Management and Decision Support in Industry 5.0-Oriented Educational Processes

This paper presents a software framework for anthropocentric dispatch management in Industry 5.0 educational settings that integrates chronotype-aware optimization, adaptive criterion weighting, and intelligent decision support to significantly improve schedule quality, student well-being, and academic outcomes while ensuring fairness across all participant groups.

Oleh Sytnik2026-07-08

💻 computer science

Explainable Agentic Decision Support for Project Governance in Agile–DevOps: A Multi-Agent Governance Framework for Project Managers

This paper presents the AgileOps Agentic Framework (AAF), a multi-agent decision-support system that integrates specialized DevOps, SRE, FinOps, and DevSecOps reasoning with explainable, evidence-grounded analysis to help Project Managers interpret fragmented operational telemetry into actionable governance recommendations, validated through controlled scenarios and real-world microservice benchmarks.

Suresh Kandasamy, Suresh Arumugam, Cynthia Jayapal2026-07-08

💻 computer science

Surgical Weight Injection for Capability-Targeted Editing of Aligned Large Language Models

This paper introduces SWIFT, a gradient-free, white-box framework that surgically injects sparse steering vectors into the deep critical layers of aligned Large Language Models to restore suppressed capabilities with high auditability, revertibility, and locality, achieving near full-supervised fine-tuning performance in under 10 seconds while modifying less than 1% of parameters.

Qiuxiang li, ke xu, yubin qu, jianping wu2026-07-08

💻 computer science

LLM-Augmented Knowledge Graph Reasoning with Disentangled Multimodal Fusion for Explainable E-Commerce Conversion Predictio

This paper proposes LADMF, a unified framework that integrates LLM-augmented knowledge graph reasoning with disentangled multimodal fusion and counterfactual causal attention to significantly improve e-commerce conversion prediction accuracy and generate human-readable, faithful explanations.

Meili Zhang, Weibo Shi2026-07-08

💻 computer science

Layer Wise IndoBERT Representation Evolution for Indonesian Misinformation Detection

This paper presents a systematic layer-wise analysis of fine-tuned IndoBERT models for Indonesian misinformation detection, revealing a consistent three-phase representational evolution where critical hoax-related features are formed in intermediate layers and consolidated in upper layers, while highlighting distinct functional roles between [CLS] and mean-pooled representations.

Rini Anggrainingsih, Julian Dewanto, Ghulam Mubashar Hassan2026-07-08

💻 computer science

DLMC_Net: Adaptive Self Attention Module and Customized Convolutional Neural Network with Borderline SMOTE for Classification of Malwares using Byte Code Images

This paper proposes DLMC_Net, a novel deep learning framework combining a customized CNN, an adaptive self-attention module, and Borderline SMOTE to achieve state-of-the-art accuracy (99.92%) in multi-class malware classification using bytecode images, significantly outperforming established baseline models.

Muhammad Imran Ali Khan, Hassaan Malik, Muhammad Nabeel Asghar, Sajid Iqbal2026-07-08

💻 computer science

Simulating Quiet Quitting: A Computational Experiment on Crisis Management Strategies using Generative Agents

This paper introduces a generative agent framework that successfully simulates and quantifies the "Quiet Quitting" phenomenon, revealing that while commitment strategies significantly reduce turnover intentions, their effectiveness is critically moderated by employee personality traits, thereby establishing a computational testbed for precision-targeted crisis management.

Rui Hong, Feng Yao, Peijun Ye, Tao Wang, Zhongshan Zhang2026-07-08

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