Machine learning-based detection of DDoS attacks on IoT devices in multi-energy systems by Hesham A. Sakr, Mostafa M. Fouda, Ahmed F. Ashour, Ahmed Abdelhafeez, Magda I. El-Afifi, Mohamed Refaat Abdellah

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CBCT Validation Study on Intraclass Correlation for Linear Measurements in Peri-implantitis: an Observational Study by Amanda Beatriz Rodriguez, Berceste Guler Ayyildiz, Halil Ayyildiz, Aniruddh Narvekar, Mohammed H. Elnagar, Michael Schmerman, Grace Viana, Salvador Nares, Tolga Fikret Tözüm

“…Objectives: This retrospective observational study aimed to evaluate the reliability and reproducibility of intra-examiner and inter-examiner bone loss measurements in cone-beam computed tomography images over time, on patients with peri-implant defects using two cone-beam computed tomography software programs: 3D Slicer and Dolphin Imaging. …”
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Traditional Chinese medicine-based therapeutics for Pediatric pneumonia-related acute lung injury and acute respiratory distress syndrome by Yuexin Pan, Shalesh Gangwar, Mohamed Abbas, Khalid Raza

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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

“…The framework was implemented using the TenSeal and Torch libraries and evaluated on encrypted heart disease datasets with varying polynomial degrees. …”
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A Few-Shot Learning Framework for Depth Completion Based on Self-Training with Noise and Pixel-Wise Knowledge Distillation by Shijie Zhang, Shengjie Zhao, Jin Zeng, Hao Deng

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Morlet Wavelet Neural Networks-Based Intelligent Approach to Analyze the Impact of Aligned Magnetic Field on a Nanofluid Thin Film Flow With Irreversibility Analysis and Chemical R... by Muhammad Ramzan, Xiangning Zhou, Abdulkafi Mohammed Saeed, C. Ahamed Saleel, Ibtehal Alazman, W. S. Koh, Seifedine Kadry

“…The weights of MW-NNs are optimized using PSO within the range of −10 to 10. To evaluate the convergence of this approach, fifty independent runs were performed to compute the statistical analysis for the fitness values. …”
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Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion by Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu

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A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies by Huarong Xu, Qianwei Deng, Zhiyu Zhang, Shengke Lin

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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…Unlike traditional FL systems that rely on computationally intensive neural networks, our approach leverages XGBoost—a lightweight yet powerful algorithm—to train detection models locally on devices. …”
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Rumor detection using dual embeddings and text-based graph convolutional network by Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh

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Advancing ADMET prediction for major CYP450 isoforms: graph-based models, limitations, and future directions by Asmaa A. Abdelwahab, Mustafa A. Elattar, Sahar Ali Fawzi

“…These insights underscore the transformative potential of graph-based approaches in advancing drug development and optimizing safety evaluations.…”
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An image‐based facial acupoint detection approach using high‐resolution network and attention fusion by Tingting Zhang, Hongyu Yang, Wenyi Ge, Yi Lin

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Game algorithm based on link quality: Wireless sensor network routing game algorithm based on link quality by Zhanjun Hao, Jiaojiao Hou, Jianwu Dang, Xiaochao Dang, Nanjiang Qu

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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

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Fake News Detection System using Machine Learning with Recurrent Neural Networks by Kuditat O. Jimoh, Lawrence O. Omotosho, Ibrahim K. Ogundoyin, Olajide Y. Adebayo

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Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems by Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov

“…In multiclass detection, the system attains 0.9840 accuracy, precision, and recall, with an F1-score of 0.9831 and an average drift event accuracy of 0.96. The system is computationally efficient, processing each instance in just 0.0037 s, making it well-suited for real-time deployment. …”
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Task Scheduling with Mobile Robots—A Systematic Literature Review by Catarina Rema, Pedro Costa, Manuel Silva, Eduardo J. Solteiro Pires

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Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data by Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang

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On precise path planning algorithm in wireless sensor network by Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan

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An Overview of Deep Neural Networks for Few-Shot Learning by Juan Zhao, Lili Kong, Jiancheng Lv

“…Using this taxonomy, we review various methods and evaluate their strengths and weaknesses. We also present a comparison of these techniques as summarized in this paper, using benchmark datasets. …”
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