EVALUATION OF MEASURES TO DETECT MISAPPROPRIATION OF RESOURCES by Anastasiya V. Vasileva

“…The article presents the methodological and technical foundations of the study evaluating the effectiveness of measures to detect misuse of resources. The focus is on the algorithm steps to prepare information and conduct calculations to identify the misuse of resources. …”
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Assessing Fracture Detection: A Comparison of Minimal-Resource and Standard-Resource Plain Radiographic Interpretations by Iskandar Zakaria, Teuku Muhammad Yus, Safrizal Rahman, Azhari Gani, Muhammad Ariq Ersan

“…<b>Conclusions:</b> The standard-resource method is superior in detecting fractures compared to the minimal-resource method. …”
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Resource control conflict detection mechanism in trustworthy and controllable network by QU Yan-sheng, LUO Jun-zhou, LI Wei, WANG Peng, TAN Jing

Subjects: “…resource control…”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Although state-of-the-art deep learning-based OD methods achieve high detection rates, their large model size and high computational demands often hinder deployment on resource-constrained edge devices. …”
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Misinformation Detection: A Review for High and Low-Resource Languages by Seani Rananga, Bassey Isong, Abiodun Modupe, Vukosi Marivate

Subjects: “…misinformation detection, low-resource languages, high-resource languages, african languages.…”
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Resource control conflict detection mechanism in trustworthy and controllable network by QU Yan-sheng, LUO Jun-zhou, LI Wei, WANG Peng, TAN Jing

Subjects: “…resource control;trustworthy and controllable network;conflict detection;policy…”
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A Robust Resource-Aware Framework for YOLO-Based Object Detection in Dynamic and Multi-Platform Resource-Constrained Environments by Ary Mazharuddin Shiddiqi, Dini Adni Navastara, Hudan Studiawan, Yasinta Romadhona, Muhammad Fath Mushaffa Azhar, Fayruz Rahma, Arif Bramantoro, Ahmad A. Alzahrani

Subjects: “…Resource-aware framework…”
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Resource efficient Internet-of-Things intrusion detection with spiking neural networks by Miloš Živadinović, Dejan Simić

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Anomaly detection on compressed data in resource-constrained smart water meters by Sarah Klein, Anna Hristoskova, Annanda Rath, Renaud Gonce

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Resource scheduling based on routing tree and detection matrix for Internet of things by Hongying Bai, Xiaotong Zhang, Yuxin Liu, Yingdong Xie

“…This article proposes a new efficient resource scheduling based on routing tree and detection matrix for Internet of things. …”
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Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints by Javad Forough, Hamed Haddadi, Monowar Bhuyan, Erik Elmroth

Subjects: “…Anomaly detection…”
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PHILDER: Lightweight Framework for Intelligent Phishing Detection on Resource-Limited Devices by Guilherme Dantas Bispo, Cesar Augusto Borges de Andrade, Gabriela Mayumi Saiki, Raquel Valadares Borges, Andre Luiz Marques Serrano, Geraldo Pereira Rocha Filho, Vinicius Pereira Goncalves

“…This paper proposes a deep learning-based approach for the automatic detection of phishing in emails, the PHILDER (PHishing Intelligent Lightweight DEtection on Resource-limited devices) model. …”
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Automatic detection and extraction of key resources from tables in biomedical papers by Ibrahim Burak Ozyurt, Anita Bandrowski

“…Conclusions Our pipelines allow the detection and extraction of key resources from tables with much higher accuracy, enabling the deployment of automated research resource extraction tools on BioRxiv to help authors correct unidentifiable key resources detected in their articles and improve the reproducibility of their findings. …”
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Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection by Peng Luo, Rangjia Cai, Yuanbo Guo

Subjects: “…Cryptographic attack event detection…”
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Optimal resource allocation for two-stage connectionless access with collision detection by Xin JIAN, Fang WANG, Jian SONG, Shu FU, Xiaoheng TAN, Xiaoping ZENG

“…Connectionless access allows massive machine type communication (mMTC) devices to transmit small packets without establishment of radio bearers,significantly reducing device power consumption and control signaling overhead.Two-stage connectionless access (TSCLA) improves throughput and resource efficiency by optimally allocating resources between scheduling request (SR) phase and data transmission phase,which can be used for bigger packets and high traffic load.Based on this,a comprehensive theoretical analysis of one kind of TSCLA with collision detection was conducted to investigate its performance limit and devise its optimal resource allocation scheme.In addition,to avoid the complexity of user number estimation,a dynamic resource allocation algorithm with feedback control was proposed.Numerical results are provided to validate the effectiveness of aforementioned theoretical results and show that comparing with the genie aided algorithm known exactly the number of users,the performance loss of the proposed algorithm is within 4%.These works together provide good references for appropriate resource dimensioning for mMTC related protocols.…”
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Firstly, a multiple input multiple output (MIMO) cooperative detection model is constructed. Then, based on the perspective of information theory, the channel capacity of the cooperative detection model is derived and used as the objective function for optimizing the detection resources of UAV swarm. …”
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Federated knowledge distillation for enhanced insulator defect detection in resource‐constrained environments by Xiaohu Huang, Minghui Jia, Xianghua Tai, Wei Wang, Qi Hu, Dongping Liu, Peiheng Guo, Shengxiang Tian, Dequan Yan, Haishan Han

“…Abstract Insulator defect detection is crucial for the stable operation of power systems. …”
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MultiBanFakeDetect: Integrating advanced fusion techniques for multimodal detection of Bangla fake news in under-resourced contexts by Fatema Tuj Johora Faria, Mukaffi Bin Moin, Zayeed Hasan, Md. Arafat Alam Khandaker, Niful Islam, Khan Md Hasib, M.F. Mridha

Subjects: “…Fake news detection…”
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Implementing Anomaly-Based Intrusion Detection for Resource-Constrained Devices in IoMT Networks by Georgios Zachos, Georgios Mantas, Kyriakos Porfyrakis, Jonathan Rodriguez

“…The proposed lightweight AIDS leverages novelty detection and outlier detection algorithms instead of conventional classification algorithms to achieve (a) enhanced detection performance against both known and unknown attack patterns and (b) minimal computational costs.…”
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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

“…Moroccan Darija, a dialect of Arabic, presents unique challenges for natural language processing due to its lack of standardized orthographies, frequent code switching, and status as a low-resource language. In this work, we focus on detecting offensive language in Darija, addressing these complexities. …”
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