Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, A. Rajesh, Olutayo Oyeyemi Oyerinde

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Research on license plate recognition based on graphically supervised signal-assisted training by Dianwei Chi, Zehao Jia, Lizhen Liu

“…This approach refines the training process, yielding a model that is both lightweight and highly accurate. …”
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Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm by Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung Nguyen

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Implementation of Apriori Algorithm in Identifying Purchase Relationships at Bluder Cokro Pakuwon Mall by Angeline Ivana, Indra Maryati

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Usability Evaluation of Educational Games: An Analysis of Culture as a Factor Affecting Children’s Educational Attainment by Marwan Alshar’e, Ali Albadi, Malik Jawarneh, Noman Tahir, Marya Al Amri

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Classification of the stages of Alzheimer’s disease based on three-dimensional lightweight neural networks by Jun Li, Juntong Liu, Yang Su, Jie Chang, Mingquan Ye

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Sentiment Analysis of Public Comments on X Social Media Related to Israeli Product Boycotts Using The Long Short-Term Memory (LSTM) Method by Pitra Rahmadani Panggabean, Asrianda Asrianda, Hafizh Al-Kausar Aidilof

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Hyperspectral segmentation of plants in fabricated ecosystems by Petrus H. Zwart, Petrus H. Zwart, Petrus H. Zwart, Peter Andeer, Trent R. Northen

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ProT-GFDM: A generative fractional diffusion model for protein generation by Xiao Liang, Wentao Ma, Eric Paquet, Herna Viktor, Wojtek Michalowski

“…By integrating fractional dynamics with computationally efficient sampling, the proposed framework advances generative modeling for structured biological data, with implications for protein design and computational drug discovery.…”
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Maximum Entropy Principle Based on Bank Customer Account Validation Using the Spark Method by Xiaorong Qiu, Ye Xu, Yingzhong Shi, S. Kannadhasan Deepa, S. Balakumar

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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

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Interpretable Machine Learning Techniques for an Advanced Crop Recommendation Model by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

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Recent advances in the inverse design of silicon photonic devices and related platforms using deep generative models by Sun Jae Baek, Minhyeok Lee

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Application of an Improved LSTM Model to Emotion Recognition by Yuan Li

“…For computers to behave like humans, speech recognition systems must be able to process nonverbal information, such as the emotional state of the speaker. …”
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Power Operation Violation Identification Method Based on Point Cloud Data Preprocessing and Deep Learning under the Architecture of IoT by Shibo Yang, Weiping Fu, Lishuo Zhang, Zhaolei Wang

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New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory by Lili Zhang, Tanghuai Fan, Xin Wang, Cheng Kong, Xijun Yan

“…A new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river surface velocity field by using the velocity of floating debris, and computes the section flow at last. …”
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Mapping the Indian Palaeolithic by Vaneshree Vidyarthi, Parth Chauhan

“…The increasing use of GIS (Geographic Information Systems) and computational methods in archaeological research runs into various methodological and interpretative roadblocks when used for non-ideal or incomplete datasets. …”
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Predicting the performance of ORB-SLAM3 on embedded platforms by Jacques Matthee, Kenneth Uren, George van Schoor, Corne van Daalen

“…Simultaneous Localization and Mapping (SLAM) is a crucial component to the push towards full autonomy of robotic systems, yet it is computationally expensive and can rarely achieve real-time execution speeds on embedded platforms. …”
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Can large language models meet the challenge of generating school-level questions? by Subhankar Maity, Aniket Deroy, Sudeshna Sarkar

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A New Ensemble Learning Method for Multiple Fusion Weighted Evidential Reasoning Rule by YiZhe Zhang, YunYi Zhang, GuoHui Zhou, Wei Zhang, KangLe Li, QuanQi Mu, Wei He, Kai Tang

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