💻 Category

cs

2790 papers

💻 computer science

Edge Weight Concentration Overcomes Node Degree Blindness in Graph Based Network Intrusion Detection

This paper demonstrates that in graph-based network intrusion detection, edge-weight concentration features outperform traditional node-degree metrics when network address translation (NAT) collapses multiple hosts into few identities, revealing that these two feature families are complementary along the identity-collapse axis and that a compact, leakage-free graph-context feature set can achieve near-baseline performance with significantly reduced training costs.

Md Hasibuzzaman2026-08-10
💻 computer science

Intelligent Multi-Objective Cluster-Head Selection with AoI-Awareness and Anomaly-Informed Suspicion for Tactical WSNs

This paper proposes an intelligent multi-objective cluster-head selection framework for tactical wireless sensor networks that integrates K-Means spatial clustering, temporal anomaly detection, and Q-learning to simultaneously optimize energy efficiency, security, and information freshness (AoI), demonstrating superior performance over existing methods in simulations.

Fayza A. Nada, Fatma S. Abousaleh, Soliman M. Salman, Enas Selem2026-08-10
💻 computer science

Encoder-based 3D GAN inversion: A systematic review

This systematic review of 33 studies reveals that while encoder-based 3D GAN inversion enables real-time reconstruction and editing primarily on high-end hardware using EG3D-based architectures, its widespread adoption is currently limited by challenges in balancing speed with 3D consistency and a lack of robust geometric evaluation beyond frontal face datasets.

Assadig Abakr, Asif Khan, Maruf Hassan, Danyal Aftab, Jane Courtney, Steven Davy2026-08-10
💻 computer science

Fairness Hazard Analysis for Socio-Technical Processes: A Multiple-Case Study in Bias-sensitive Organisational Settings

This paper introduces and empirically validates Fairness Hazard Analysis (FHA), a structured methodology for systematically identifying and mitigating fairness hazards in socio-technical processes during requirements engineering, demonstrating its practical effectiveness through focus groups and a multiple-case study in organizational settings.

Giovanna Broccia, Lucio Lelii, Roberto Cirillo, Dario Di Nucci, Samuel Fricker, Fabio Palomba, Giorgio O. Spagnolo, Ales (…)2026-08-10
💻 computer science

Credibility Aware Explainable Evaluation of Teaching Reform from Online Reviews

This paper proposes EduReview-QE, a credibility-aware and explainable multi-criteria framework that transforms noisy online reviews into diagnostic teaching reform evidence by decomposing reviews into aspect-sentiment units, filtering for credibility and temporal relevance, and aggregating dimension-level scores through entropy/CRITIC weighting and TOPSIS calibration to achieve superior evaluation performance.

Jun Liang2026-08-10
💻 computer science

Adaptive Fusion of Closed-World and Open-Set Detectors for Zero-Day Attack Generalization in Industrial IoT Intrusion Detection

This paper proposes a lightweight adaptive fusion policy that significantly improves zero-day attack detection in Industrial IoT by combining closed-world classifiers and unsupervised open-set detectors, demonstrating superior performance over established baselines while acknowledging limitations in cross-dataset transferability.

Zhimin Ren, Yi Bao2026-08-10
💻 computer science

From Value Alignment to Directional Resonance: A Practical Path of Care Transmission in Human-AI Symbiosis

This study challenges the notion that AI's structural indifference precludes genuine care by demonstrating through clinical practice and theoretical collaboration that authentic human-AI symbiosis can be achieved not through algorithmic value alignment, but by transmitting and sedimenting human directional care within long-term relational dynamics to generate stable, value-aligned resonance.

Chunmei Liu2026-08-10
💻 computer science

Frequency-Aware Gradient Correction for Unified Facial Landmark Detection

This paper proposes FGC-UFLD, a unified framework for facial landmark detection that integrates frequency-aware representation modules (DiC-Wave and PFAM) to enhance structural modeling and an Anchor-Guided Gradient Correction (AGGC) strategy to resolve optimization conflicts, thereby achieving state-of-the-art performance across heterogeneous datasets with a single model.

Shun Ren, Qingjia Li, Hang Sun, Xu Wu, Beihang Song, Jun Wan2026-08-10
💻 computer science

A high-efficiency adaptive Genghis Khan shark optimizer using novel strategies for static and dynamic complex engineering optimization

This paper proposes IGKSO, an enhanced Genghis Khan shark optimizer incorporating novel survival bonds, a light-dark interactive strategy, an adaptive parameter, and fish aggregation devices to effectively solve complex static and dynamic engineering optimization problems with improved accuracy and global search capabilities.

Yuxuan Guo, Gang Hu, Mahmoud Abdel-salam2026-08-10
💻 computer science

Risk-Aware Degraded-Mode Orchestration for Resilient Cloud–Edge AI Agents: From Containerized Fault Injection to Heterogeneous Kubernetes Validation

This paper introduces DMO-AI, a risk-aware orchestrator that dynamically selects degraded execution modes for cloud–edge AI agents based on task risk and dependency health, demonstrating through extensive containerized and heterogeneous Kubernetes validation that it significantly improves safe completion rates (93.95% vs. 64.70%) compared to standard transport-level resilience while maintaining strict policy compliance.

Albert Adusei Brobbey¹˒², Narayan Bhosale¹, Dan Bamfo³2026-08-10