Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…The results indicate that DNNs and DBNs algorithms achieve the lowest error rate (2.5%) and highest accuracy (97%) with high-quality data. …”
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Investigation of the constitutive relationship between energy damage and CFRP layers in axially compressed small coal cylinders: Experiment and simulation by Qingwen Li, Chuangchuang Pan, Yuqi Zhong, Wenxia Li, Mengjiao Xu, Lei Zhang, Shuaishuai Zhang

“…The experimental and simulation results exhibit excellent agreement, with the error range is controlled within 10 %. This consistency effectively validates the reliability of the research methodology employed. …”
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Host Immune Response to Dengue Virus Infection: Friend or Foe? by Priya Dhole, Amir Zaidi, Hardik K. Nariya, Shruti Sinha, Sandhya Jinesh, Shivani Srivastava

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Optimized SVR with nature-inspired algorithms for environmental modelling of mycotoxins in food virtual-water samples by Abdullahi G. Usman, Sagiru Mati, Hanita Daud, Ahmad Abubakar Suleiman, Sani I. Abba, Hijaz Ahmad, Taha Radwan

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Assessment of Racial Misclassification Among American Indian and Alaska Native Identity in Cancer Surveillance Data in the United States and Considerations for Oral Health: A Syste... by Amanda J. Llaneza, Alex Holt, Julie Seward, Jamie Piatt, Janis E. Campbell

“…Data were analyzed in terms of the discussion of racial misclassification, methods to reduce this error, and the reporting of research involving Indigenous peoples. …”
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Prediction of influenza-like illness incidence using meteorological factors in Kunming : deep learning model study by Pei-long Li, Rong-wei Huang, Rong-man Xie, Juan Xie, Kai Liu

“…In the context of climate change, it is imperative to conduct research on the impact of meteorological factors on epidemic prediction. …”
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Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

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A Human-Centered Approach to Academic Performance Prediction Using Personality Factors in Educational AI by Muhammad Adnan Aslam, Fiza Murtaza, Muhammad Ehatisham Ul Haq, Amanullah Yasin, Muhammad Awais Azam

“…Our findings reveal that the Gradient Boosting Regressor achieved an R-squared value of 0.63 with the lowest Mean Squared Error (MSE); incorporating personality factors elevated the R-squared to 0.83, significantly improving predictive accuracy. …”
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Leveraging Historical Process Data for Recombinant <i>P. pastoris</i> Fermentation Hybrid Deep Modeling and Model Predictive Control Development by Emils Bolmanis, Vytautas Galvanauskas, Oskars Grigs, Juris Vanags, Andris Kazaks

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Modeling the Land Surface Phenological Responses of Dominant Miombo Tree Species to Climate Variability in Western Tanzania by Siwa E. Nkya, Deo D. Shirima, Robert N. Masolele, Henrik Hedenas, August B. Temu

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Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries by Gopal Krishna, Rajesh Singh, Anita Gehlot, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…The proposed model demonstrates significant forecasting precision, attaining a root mean square error (RMSE) of 0.01173, outperforming all comparative models. …”
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Optimization Method for Combination of Residual Current Protection and Coincidence Brake Logic in a Low-Voltage Distribution System by XU Han, ZHU Sanli, ZHANG Tengfei, CHEN Shu, LIU Mingxiang

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Electromagnetic coil optimization for reduced Lorentz forces by Siena Hurwitz, Matt Landreman, Paul Huslage, Alan Kaptanoglu

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A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

“…This research introduces an innovative approach for assessing the RMMPs.…”
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Centralized Airflow Control to Reduce Output Power Variation in a Complex OWC Ocean Energy Network by Sunil Kumar Mishra, Bhargav Appasani, Amitkumar Vidyakant Jha, Izaskun Garrido, Aitor J. Garrido

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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

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Electrical Bioimpedance-Based Monitoring of Intracochlear Tissue Changes After Cochlear Implantation by Leanne Sijgers, Marlies Geys, Gunnar Geissler, Patrick Boyle, Alexander Huber, Flurin Pfiffner

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Enhancing energy consumption forecasting for electric vehicle charging stations with Time Series Dense Encoder (TiDE) by Amril Nazir, Abdul Khalique Shaikh, Aftab Ahmed Khan, Abdul Salam Shah, Nadia Khalique

“…The performance evaluation, conducted using metrics like mean squared error and mean absolute deviation, unequivocally underscores the superior forecasting capabilities of the proposed model compared to the transformer-based models.…”
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Analysis of Vibration Characteristics of Angular Contact Ball Bearings in Aviation Engines Under Changing Conditions by Yanfang Dong, Zibo Yan, Jianyong Sun, Wei Yu, Hai Zhang, Wenbo Zhou, Jihao Jin

“…Through a comparison of simulation and experimental data (with an error rate below 10%), the reliability of the model was validated. …”
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Prediction of strength parameters of concrete containing different additives using optimized neural network algorithm by Behzad Haseli, Gholamreza Nouri, Meysam Mardi, Ehsan Adili, Mohammad Bahari

“…In this research, a multilayer feed-forward backpropagation error neural network has been used to predict the strength parameters of a concrete sample containing different additives. …”
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