cs papers | Gist.Science

EELTRA-Net: An Intelligent Hybrid Framework for Energy-Efficient and Lifetime-Aware Routing in Vehicular Ad Hoc Networks

EELTRA-Net is an intelligent hybrid framework that integrates Temporal Convolutional Units, Gated Recurrent Units, and an Attention-Driven Feedforward Network to optimize energy efficiency, reliability, and network lifetime in Vehicular Ad Hoc Networks, achieving superior performance metrics such as a 98.9% Packet Delivery Ratio compared to existing baseline models.

Krishna Komaram, Nagarjuna Karyemsetty2026-08-03

💻 computer science

AMS-Net: Lightweight Self-Attention Enhanced MobileNetV3 for Real-Time Multimedia Classification on Edge Devices

This paper proposes AMS-Net, a lightweight MobileNetV3-Small architecture enhanced with a novel Low-complexity Spatial Self-Attention Module and a dynamic transfer learning strategy, which achieves superior real-time classification accuracy and efficiency on resource-constrained edge devices.

Shitong Wang, Jiaquan Shen, Jiaxi Yang2026-08-03

💻 computer science

How Do Algorithms Interact in Scientific Research? Large-Scale Semantic Relation Identification and Analysis Based on Full-Text Papers

This study constructs a framework to identify and analyze semantic relations among algorithm entities in NLP full-text papers, revealing that SciBERT excels in relation extraction while the field exhibits expanding, deepening, and rapidly evolving interaction networks dominated by comparative relationships.

Yuzhuo Wang, Yi Zhao, Wenqing Wu, Heng Zhang2026-08-03

💻 computer science

Light-Weight Cryptographic Heartbeat Protocol In Robotic Swarms

This paper presents a lightweight cryptographic heartbeat protocol for robotic swarms that ensures message authentication and integrity in distributed edge-computing systems using only clock synchronization and hash functions, while demonstrating low latency, minimal storage requirements, and robustness against network anomalies on Raspberry Pi 5 hardware.

Faris Alhamed, Mohamed Mtiri, Francesco Paolucci, Filippo Cugini, Alex Shafarenko2026-08-03

💻 computer science

A Multi-Lingual Cyberbullying Detection and Blockchain-Integrated Privacy-Preserving Federated Learning Framework

This paper proposes a privacy-preserving, blockchain-integrated federated learning framework that utilizes NLP and deep learning models, particularly BiLSTM, to detect multilingual cyberbullying in English, Bangla, and Banglish while ensuring data security and user privacy.

Foysal Ahmad, Shoumik Karmokar, Sourave Podderr, Md. Sanowar Hossain, Md. Mahbub Or Rashid, Md. Shakil Ahmed, Sumaiya Bi (…)2026-08-03

💻 computer science

Transformer-based three-dimensional crack detection in lava tubes: from a terrestrial analogue toward lunar subsurface exploration

This paper introduces LavaCrack_PT, a Transformer-based model that achieves robust 3D crack detection in unstructured lava tube point clouds using LiDAR data from Xianren Cave, providing a validated workflow for structural assessment and future lunar subsurface exploration.

Cheng Zhou, Yuxiang Wang, Guanghui Gao, Yan Zhou, Gao yuyue, Long Xiao, Ding lieyun2026-08-03

💻 computer science

Error Analysis of Higher Order Integration Schemes in the Context of Neural Network based Modelling

This paper demonstrates that standard higher-order numerical integration schemes often fail to achieve their theoretical asymptotic convergence rates when applied to neural network functions, providing a theoretical error analysis and experimental validation in the context of learning Euler's elastica along with proposed mitigation strategies.

Felix Mest, Martin Arnold2026-08-03

💻 computer science

SonoReasoner: Hierarchical Clinical Reasoning for Ultrasound Vision-Language Models

This paper introduces SonoReasoner, an ultrasound vision-language model that enhances diagnostic performance and consistency by explicitly formulating interpretation as hierarchical clinical reasoning, supported by the SonoFlow-1M corpus, the 7-million-scale SonoCorpus reasoning dataset, and the clinician-curated SonoVQA benchmark.

Qingbo Kang, Wen Wen, Qicheng Lao, Huahui Yi, Jun Gao, Xi Chen, Jiazhi Cao, Yajun Mu, Haoyu Wang, Kun Wang, Junyuan Mao (…)2026-08-03

💻 computer science

Research on Deep Learning-Based Detection Methods for Small Infrared Targets

This paper proposes SLS-DNANet, a novel deep learning framework integrating a Multi-Scale Spatial Attention module and a Scale and Location-Sensitive loss function to significantly enhance the detection accuracy and reduce false alarms for small infrared targets with low pixel occupancy and scale variations.

Jing Gao, Kun Wu, Ning Lv, Chuanwei Hao2026-08-03

💻 computer science

Privacy-Preserving Federated Distillation Resilient to Client Disconnections and Poisoning Attacks

This paper proposes GSE-SFD, a grouped selective federated distillation framework that integrates out-of-distribution filtering, threshold secret sharing, and anomaly detection to simultaneously achieve high accuracy, robustness against client disconnections and poisoning attacks, and enhanced privacy protection in resource-constrained edge environments.

Keqian Liu, Tanping Zhou, Shuaishuai Zhu, Guang Ye, Zijun Guo2026-08-03

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