Prediction of the Loss of Feed Water Fault Signatures Using Machine Learning Techniques by Anselim M. Mwaura, Yong-Kuo Liu

“…Fault diagnosis occurrence and its precise prediction in nuclear power plants are extremely important in avoiding disastrous consequences. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“… Human intervention cannot halt natural disasters like earthquakes, but machine learning application expertise can be utilized to detect patterns in data and increase understanding and predictive power. Recent development of machine learning models has increasingly developed interest in forecasting and predicting the magnitude of earthquakes. …”
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Disturbance Observer-Based Super-Twisting SMC for Variable Speed Wind Energy Conversion System Under Parametric Uncertainties by Ahmad Bala Alhassan, Muhammad Auwal Shehu, Vijayakumar Gali, Ton Duc do

“…Effective control of the generator’s shaft speed will ensure maximum power is captured from the wind turbines. However, the parameters of the wind energy conversion system (WECS)-based generators, including stator resistance and inductance, could change over time due to power loss, winding degradation, or core saturation. …”
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Screening for coronary artery disease among cancer survivors: rationale and design of the REDEEM-CAD study by Cheng Hwee Soh, Joel Smith, Shristy Shrestha, Mark Nolan, Joshua Wong, Nitesh Nerlekar, Thomas H. Marwick

“…Secondary endpoint includes the absolute change in total coronary plaque volume over 24 months among those imaged at baseline and follow-up. …”
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Definition and Properties of the Libera Operator on Mixed Norm Spaces by Miroslav Pavlovic

“…As an application of 3∘ we have a generalization of Bernstein’s theorem on absolute convergence of power series that belong to a Hölder class.…”
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İngiliz Arşiv Belgelerine Göre Cidde Anlaşması’nın İmzalanma Sürecinde İbn-i Suud-İngiliz Görüşmeleri by Mustafa BOSTANCI

“…Abdulaziz Ibn Saud, the founder of the State of Saudi Arabia, cooperated with the British to increase his power in the Arabian Peninsula and signed a special agreement with Britain on December 26, 1915. …”
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Dynamic analysis of the flexible protection system for electricity transmission engineering by Y. Gu, Z. Gu, Z. Yu, P. Lan, N. Lu

“…In this investigation, the absolute nodal coordinate formulation cable element is used to model the transmission wire and the nylon rope net. …”
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The Application of the Homotopy Perturbation Method and the Homotopy Analysis Method to the Generalized Zakharov Equations by Hassan A. Zedan, Eman El Adrous

“…We introduce two powerful methods to solve the generalized Zakharov equations; one is the homotopy perturbation method and the other is the homotopy analysis method. …”
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Observation of a rare beta decay of the charmed baryon with a Graph Neural Network by The BESIII Collaboration

“…This work highlights a new approach to further understand fundamental interactions in the charmed baryon sector, and showcases the power of modern machine learning techniques in experimental high-energy physics.…”
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A Novel First-Order Fuzzy Rules-Based Forecasting System Using Distance Measures Approach for Financial Market Forecasting by Shahbaz Gul Hassan, Tran Thi Kieuvan, Shuangyin Liu, Harish Garg, Munawar Hassan, Shafqat Iqbal

“…The precise estimates about finance, atmospheric science, power sector, industries, agriculture, and other science help governments and institutions economically in making the relevant policies regarding import-export, demand, consumption, storage, and local industries. …”
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The Time-Series Production Simulation in Cost Management of New Energy Grid Connection Under the Internet of Things by Shurui Wang

“…The research results indicate that with the penetration of new energy, the system’s idle capacity gradually increases, and the solar power generation also increases, but the utilization hours of solar energy slightly decrease. …”
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Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods by Yonghong Liu, Muhammad S. Saleem, Javed Rashid, Sajjad Ahmad, Muhammad Faheem

“…These challenges will be addressed by the bidirectional gated recurrent unit (Bi‐GRU) model, which forecasts power‐generating outcomes more efficiently. The investigation is done over a health data set from 2000 to 2023, including the energy states of the United Kingdom, Finland, Germany, and Switzerland. …”
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An Assessment of the Validity of an Audio-Video Method of Food Journaling for Dietary Quantity and Quality by Emily Jago, Alain P. Gauthier, Ann Pegoraro, Sandra C. Dorman

“…Interclass correlation coefficient (ICC) was calculated for absolute agreement between the two methods to assess interrater reliability. …”
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Asymptomatic Severe Vagal and Sympathetic Cardiac Denervation in Holmes-Adie’s Syndrome by B. Estañol, R. C. Callejas-Rojas, S. Cortés, R. Martínez-Memije, O. Infante-Vázquez, G. Delgado-García

“…HRV in the frequency domain was low with a decrease in the absolute power of HF and LF and a decrease in the sympathovagal balance in supine and standing positions. …”
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Visible Light Broadband Achromatic Metalens Based on Variable Height Nanopillar Structures by Yongyang Li, Haiyang Huang, Cong Zhang, Xiangshuo Shang, Yang Liu, Junyan Hu, Dengyu Shan, Naiyun Tang, Wei Li

“…The multi-level metalens designed by this method achieves a constant and approximate focal length in the visible wavelength range of λ = 450–650 nm, with a polarization-independent absolute focusing efficiency of about 17%, and a numerical aperture (NA) of 0.31 for a lens diameter of 100 μm. …”
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Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques by Lasini Wickramasinghe, Rukmal Weliwatta, Piyal Ekanayake, Jeevani Jayasinghe

“…Rice harvest and yield data over the last three decades and monthly climatic data were used to develop the prediction model by applying artificial neural networks (ANNs), support vector machine regression (SVMR), multiple linear regression (MLR), Gaussian process regression (GPR), power regression (PR), and robust regression (RR). …”
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Simulation Study on Dynamics of Hydraulic Turbines Used in Drilling Engineering by Yijin Zeng, Jin Wang, Shidong Ding, Haobo Zhou, Yanbin Zang, Fangtao Li

“…Hydroturbines have a very wide range of applications, which are commonly found in wind turbines, water turbines, aero engines, etc. This paper provided a detailed turbine design and a design method of turbine blade shape. …”
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Comparison of Two Toric IOL Calculation Methods by C. Kern, K. Kortüm, M. Müller, A. Kampik, S. Priglinger, W. J. Mayer

“…The predicted postoperative refraction and toric lens power values were evaluated and compared after postoperative recalculation using the Barrett calculator. …”
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Nonintrusive Load Disaggregation Based on Attention Neural Networks by Shunfu Lin, Jiayu Yang, Yi Li, Yunwei Shen, Fangxing Li, Xiaoyan Bian, Dongdong Li

“…Specifically, the proposed model shows a 13.85% improvement in mean absolute error (MAE), a 21.27% improvement in signal aggregate error (SAE), and a 26.15% improvement in F1 score over existing algorithms. …”
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Investigating Rotor Conditions on Wind Turbines Using Integrating Tree Classifiers by Bikash Chandra Saha, Joshuva Arockia Dhanraj, M. Sujatha, R. Vallikannu, Mohana Alanazi, Ahmad Almadhor, Ravishankar Sathyamurthy, Kuma Gowwomsa Erko, V. Sugumaran

“…Renewable wind power is productive and feasible to manage the energy crisis and global warming. …”
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