An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis by Ahmed I. Saleh, Asmaa H. Rabie, Shimaa E. ElSayyad, Ali E. Takieldeen, Fahmi Khalifa

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Fractional Partial Differential Equation: Fractional Total Variation and Fractional Steepest Descent Approach-Based Multiscale Denoising Model for Texture Image by Yi-Fei Pu, Ji-Liu Zhou, Patrick Siarry, Ni Zhang, Yi-Guang Liu

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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Furthermore, RL agents are compelled to formulate intricate strategies to contend with the challenges posed by partially observable environments, thereby engendering augmented computational and temporal expenditures. To address these issues, this study introduces EPPTA (efficient POMDP‐driven penetration testing agent), an agent built on an asynchronous RL framework, designed for conducting pen‐testing tasks within partially observable environments. …”
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2DUMAP: Two-Dimensional Uniform Manifold Approximation and Projection for Fault Diagnosis by Benchao Li, Yuanyuan Zheng, Ruisheng Ran

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A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection by Eman H. Alkhammash

“…Forest fires cause extensive environmental damage, making early detection crucial for protecting both nature and communities. Advanced computer vision techniques can be used to detect smoke and fire. …”
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Overcoming single-technology limitations in digital heritage preservation: A study of the LiPhoScan 3D reconstruction model by Yao Wang, Wei Bi, Xiaodong Liu, Yan Wang

“…Future research will incorporate parallel computing and efficient data processing methods to further enhance the model’s computational efficiency.…”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

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MalAware: A tabletop exercise for malware security awareness education and incident response training by Giddeon Angafor, Iryna Yevseyeva, Leandros Maglaras

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A Digital Twin for Unconventional Reservoirs: A Multiscale Modeling and Algorithm to Investigate Complex Mechanisms by Tao Zhang, Yiteng Li, Jianchao Cai, Qingbang Meng, Shuyu Sun, Chenguang Li

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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity by Bita Ghasemkhani, Kadriye Filiz Balbal, Kokten Ulas Birant, Derya Birant

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Expert Detection In Question Answer Communities by Hamed Salimian, Mohammad Amin Fazli, Jafar Habibi

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A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

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Empirical mode decomposition/Hilbert transform analysis of postural responses to small amplitude anterior-posterior sinusoidal translations of varying frequencies by Rakesh Pilkar, Erik M. Bollt, Charles Robinson

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A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost by Raj Joseph Kiran, J. Sanil, S. Asharaf

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Comparative study of imputation strategies to improve the sarcopenia prediction task by Shakhzod Karimov, Dilmurod Turimov, Wooseong Kim, Jiyoun Kim

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Mathematical analysis of Lassa fever epidemic with real data by Adnan Aslam, Takasar Hussain, Muhammad Ozair, Arfah Hafeez, Wedad Albalawi, Mohammed Zakarya, Nadir Omer

“…Seven dimensional mathematical model is considered as the system of ordinary differential equations. First, we compute the equilibrium point in which no disease exists then, after finding the reproduction number, both types of stabilities, local and global, of this equilibrium point is discussed. …”
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Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

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Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach by Andre O. Francani, Marcos R. O. A. Maximo

“…Transformer-based architectures have dominated the state-of-the-art in natural language processing and computer vision tasks, such as image and video understanding. …”
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Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles by Avishan Bagherinezhad, Mahnoosh Alizadeh, Masood Parvania

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