Power System Stabilizer based on Model Predictive Control by Manuel A Duarte-Mermoud, Freddy Milla

“…The design of the stabilizer is optimal in the sense that its parameters are determined by using off-line particle swarm optimization (PSO) technique. …”
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Back-propagation-assisted inverse design of structured light fields for given profiles of optical force by Zhao Xiaoshu, Lin Haoze, Chen Huajin, Zheng Hongxia, Ng Jack

“…The modus operandi relies on the back-propagation algorithm, which is facilitated by the currently available machine learning framework, and, in particular, by an exact and efficient expression of OF that shows only polynomial and trigonometric functional dependence on the engineered parameters governing the structured light field. …”
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Disturbance Source Location in Power Systems Based on Time Difference of Arrival by Mengxi WEI, Ningning MA, Delin WANG, Wei DENG, Jitao KANG

“…Finally, the proposed method is applied to the 3-machine 9-bus system and the actual power grid system. …”
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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

“…In our previous works, we proposed a machine learning framework named USmorph for efficiently classifying galaxy morphology. …”
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THE METHOD OF ROLL SURFACE QUALITY MEASUREMENT FOR CONTINUOUS HOT DIP ZINC COATED STEEL SHEET PRODUCTION LINE by Ki Yong Choi, Yu. A. Lebedinsky, E.I. Marukovich, A.M. Branovitsky, V.A. Dementev

“…The algorithm of fast pickup detection on surface is developed on the base of processing of several optical images of surface. The parameters for quality estimation of surface with pickups were developed. …”
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Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform by Haiyan Wang, Feng Zhou, Chunyang Jiang, Ling Qin, Huaiqing Zhang

“…One of the key issues of the accurate parameters analysis for the piecewise envelope current signal is to position the change point precisely. …”
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Cottage Processing of Black Plum (Vitex doniana) into Juice in Katsina State, North-Western Part of Nigeria by Hassan Abdulsalam, Shamsudeen Abdulkarim Jibia

“…The equipment such as extractor, filter press, pasteurization pot and a capping machine were fabricated for processing black plum fruits into juice. …”
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Comprehensive analysis of experimental studies in cold metal transfer welding by Mir Qurrat Ul Ain, Deepak Kumar Naik, Dinesh Kumar Rajendran, Shiva Sekar

“…Future research must prioritize real-time monitoring, machine-learning-assisted optimization, and comprehensive testing standards to expand CMT's industrial adoption.…”
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Modelling and measurements of thermally induced residual stress in IN718 nickel-based superalloy during non-uniform quenching by S. Rahimi, M. King, M. Amir Siddiq, B.P. Wynne

“…Residual stress induced during and as a result of manufacturing processes can have a significant impact on the later stages of manufacturing (e.g., machining), and in-service performance (e.g., resistance to fatigue) of a component. …”
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Surface Enhancement of Titanium Ti-3Al-2.5V Through Laser Remelting Process—A Material Analysis by Esmaeil Ghadiri Zahrani, Babak Soltani, Bahman Azarhoushang

“…This study evaluates the effects of laser parameters on the surface remelting of the Ti-3Al-2.5V alloy. …”
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Determination of seed sowing quality by dotted-nesting method using video file processing technology by Strygin Sergei, Konkina Viktoriya, Korobova Irina, Rybachok Maksim, Pustovarov Nikita

“…The research work presents a method for assessing the qualitative performance of a sowing machine using the dotted-nest sowing method. The analysis of the subject area was carried out, within which the object of optimization was described. …”
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High-Accuracy Entanglement Detection via a Convolutional Neural Network with Noise Resistance by Qian Sun, Yanyan Song, Zhichuan Liao, Nan Jiang

“…Conventional methods for quantum state tomography exhibit limitations in scalability as the number of qubits increases, leading to exponential growth in the number of unknown parameters and required measurements. Consequently, the accuracy enhancement achieved by these methods is constrained. …”
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Quasi-Static and Dynamic Mechanical Properties of a Ti-6Al-4V Titanium Alloy Produced Using Unconventional Manufacturing Methods by Katarzyna J. SARZYŃSKA, Robert PASZKOWSKI

“…These tests were performed on an UTS (Universal Testing Machine) and an SHPB (Split Hopkinson Pressure Bar) stand. …”
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BIMLP Model Based on Deep Learning for Predicting Electrical Load Demand by Somayeh Talebzadeh, Reza Radfar, Abbas Toloei Ashlaghi

“…To address this challenge, this research proposes a novel hybrid machine-learning approach for predicting electricity demand. …”
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Void Detection of Airport Concrete Pavement Slabs Based on Vibration Response Under Moving Load by Xiang Wang, Ziliang Ma, Xing Hu, Xinyuan Cao, Qiao Dong

“…This work demonstrates the feasibility of integrating simulation analysis, signal feature extraction, and machine learning to support intelligent diagnostics of concrete pavement health.…”
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Analysis of Thermal Aspect in Hard Turning of AISI 52100 Alloy Steel Under Minimal Cutting Fluid Environment Using FEM by Sandip Mane, Rajkumar Bhimgonda Patil, Mohan Lal Kolhe, Anindita Roy, Amol Gulabrao Kamble, Amit Chaudhari

“…Cutting speed influenced machined surface temperature significantly, whereas other parameters showed minimal effect. …”
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Bézier Cubics and Neural Network Agreement along a Moderate Geomagnetic Storm by Emre Eroglu, Mehmet Emir Koksal

“…In the network model, 120 hours of the solar wind parameters and the TEC map of the storm are processed. …”
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Innovations in Sensor-Based Systems and Sustainable Energy Solutions for Smart Agriculture: A Review by Md. Mahadi Hasan Sajib, Abu Sadat Md. Sayem

“…Furthermore, the paper explores the role of artificial intelligence (AI), machine learning (ML), computer vision, and big data analytics in monitoring and managing key agricultural parameters such as crop health, pest and disease detection, soil conditions, and water usage. …”
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Approach to Online Defect Monitoring in Fused Deposition Modeling Based on the Variation of the Temperature Field by Ketai He, Huan Wang, Huaqing Hu

“…The Qualitative Trend Analysis method is used to analyze the difference in order to obtain the corresponding sensitive feature parameters corresponding to the starting points in different phases of the product printing. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Additionally, a new method based on the denoising autoencoder (DAE) and support vector machine (SVM) is proposed. Firstly, the ESP production data were processed and fault-related features were screened using the random forest (RF) algorithm. …”
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