cs papers | Gist.Science

DOLPHIN: A Privacy-Preserving Digital Investigation Readiness Assessment Framework based on Offline Large Language Models and Retrieval-Augmented Generation

This paper introduces DOLPHIN, a privacy-preserving framework that leverages offline large language models and retrieval-augmented generation to significantly enhance digital forensic investigation readiness by accurately assessing evidence completeness, detecting specific gaps, and reducing case preparation time while ensuring data remains local.

Divya K2026-09-15

💻 computer science

The application of artificial intelligence technology empower the development of green urban transportation

This study empirically demonstrates that artificial intelligence significantly promotes urban green transportation development by enhancing information sharing, decision-making, and organizational coordination, with these positive effects being particularly pronounced in cities characterized by high population density, energy consumption, pollution, and traffic congestion.

Yang Liu, xianjun xie, Huiyang Mei, Feng Wu2026-09-15

💻 computer science

WDQAR:A Weighted Double Q-Learning Based Adaptive Routing Protocol for Flying Ad Hoc Networks

This paper proposes WDQAR, an adaptive routing protocol for Flying Ad Hoc Networks that leverages a weighted double Q-learning framework combined with dynamic neighbor discovery and sector-based filtering to mitigate Q-value estimation bias and optimize routing performance in highly mobile UAV environments.

Qingzhong Ni, Yijie Bai, Daojie Yu, Qi Zhang, Fan Meng2026-09-15

💻 computer science

Advanced Wide Sliced Residual Network based Crop Recommender System Based on Soil Factor with Normalized Dataset

This paper proposes an advanced crop recommendation system that utilizes a random oversampling technique, improved normalization and hybrid feature selection methods, and a novel Pyramid Scene Parsing Network-integrated Wide Sliced Residual Network to accurately predict optimal crops based on normalized soil data.

Mukesh Kumar Tripathi, Sundeep raj, Y ramadevi, Dipak Raskar, Lakshmana Phaneendra Maguluri, Bibhuprasad Sahu, Sunita pa (…)2026-09-15

💻 computer science

Optical Character Recognition of Historical Moroccan Arabic Calligraphy Using Transformer-Based TrOCR

This paper proposes a Transformer-based TrOCR framework that bypasses difficult character segmentation by directly recognizing preprocessed text lines from historical Moroccan Arabic manuscripts, thereby achieving effective transcription of complex, degraded calligraphy for digital heritage preservation.

Adnane Mehdaoui, Khadija El Maaroufi2026-09-15

💻 computer science

A Community-driven Hub for High-Quality Text2Cypher Benchmarks and Resources

This paper introduces Text2Cypher-Hub, a community-driven platform that addresses the scarcity of high-quality evaluation resources for translating natural language to Cypher queries by releasing three curated, domain-specific benchmarks and establishing a standardized registry for sharing datasets, models, and tools.

Emanuele Cavalleri, Nada Bou Kanaan, Marco Mesiti2026-09-15

💻 computer science

Bridging Explanation and Operations: A Systematic Review and Taxonomy of XAI-Enabled Cybersecurity Detection

This systematic review synthesizes XAI-enabled cybersecurity detection research from 2020 to 2026 to identify critical gaps in evaluation and robustness, proposing a multidimensional taxonomy and a structured research agenda to guide the development of trustworthy, operationally effective defense systems.

Christos Smiliotopoulos, Konstantinos E. Kampourakis, Vyron Kampourakis, Georgios Kambourakis, Andreas Artemiou, Paraske (…)2026-09-15

💻 computer science

Auditing Data Leakage Candidate Coverage and Calibration in Clinical Abbreviation Disambiguation Benchmarks

This paper introduces an auditable evaluation protocol for clinical abbreviation disambiguation that exposes how high benchmark accuracies often mask data leakage and candidate coverage issues, demonstrating that reliable clinical NLP assessment requires separate reporting of leakage robustness, candidate support, and calibrated reliability rather than relying on a single accuracy score.

Tianze Yang, Qiqing Li, Jialun Wu, Xinyu Qiu2026-09-15

💻 computer science

Image Tampering Region Localization Method Based on Pseudo Label Driver and Dynamic Multi branch Decoding

This paper proposes a pseudo-label-driven image tampering localization method featuring a tamper-type-aware dynamic multi-branch decoder that effectively addresses heterogeneous forensic traces by integrating multi-scale features, source–target correspondence supervision for copy-move forgery, and adaptive cue fusion to achieve high accuracy and generalization across diverse datasets.

Yanting Li, Xiaojian Xue, Weiyi Lin, Shouxin He2026-09-15

💻 computer science

Resource-Aware Small-UAV Perception under Annotation and Compute Constraints

This paper proposes and evaluates a resource-aware perception strategy for small UAV detection that combines confidence-guided model routing and difficulty-ranked replay to effectively optimize performance under simultaneous constraints on inference-time computation and annotation budgets.

Xufeng Zhou, Jun Li, Hua Hu, Yan Liu, Xiaodong Wang, Kebin Chen, Chao Jiang, Quantong Lv, Xuping Jiang2026-09-15

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