Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise by Jeong-Geun Lee, Kwang Sik Kim, Jang Hyun Lee

“…This study proposes a fault diagnosis method using a variational autoencoder (VAE) and domain adaptation neural network (DANN), both of which are based on unsupervised learning, to address this problem. …”
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Systemic approach in the development of functional foods for various noncommunicable diseases by I. M. Chernukha, M. A. Nikitina, M. A. Aslanova, A. T. Qusay

“…As a result, we receive a modified Muhammara recipe with optimized protein: fat ratio. Mathematical simulation was carried out using the R Studio software with open-source lpSolve and lpSolveAPI libraries.…”
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Emulsion-Based Encapsulation of Fibrinogen with Calcium Carbonate for Hemorrhage Control by Henry T. Peng, Tristan Bonnici, Yanyu Chen, Christian Kastrup, Andrew Beckett

“…This study advances current hemostatic particle technology by demonstrating enhanced self-propulsion and fibrinogen incorporation via the W/O/W emulsion method. Further optimization of the encapsulation method could enhance the effectiveness of fibrinogen-CaCO₃ particles for hemorrhage control.…”
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Extraction of Carotenoids from Pumpkin (<i>Cucurbita moschata</i>) and Spinach (<i>Spinacia oleracea</i>) Using Environmentally Friendly Deep Eutectic Solvents (DESs) by Koray Tanrıver, Mehmet Bilgin, Selin Şahin Sevgili, İrem Toprakçı Yüksel, Ebru Kurtulbaş Şahin

“…Food waste is considered as an important source for the recovery of bioactive compounds, such as carotenoids. …”
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Transient Stability Analysis of Wind-Integrated Power Systems via a Kuramoto-like Model Incorporating Node Importance by Min Cheng, Jiawei Yu, Mingkang Wu, Yayao Zhang, Yihua Zhu, Yuanfu Zhu

“…First, virtual node technology is utilized to optimize the power grid topology model. Then an improved PageRank algorithm embedded by a critical node identification method is proposed, which simultaneously considers transmission efficiency, coupling transmission probability, and voltage influence among nodes. …”
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Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks by Sha Wen, Liqiang Xing, Xiaoqing Hu, Hui Zhang

“…This approach adopts a measurement conversion method to remove the measurement nonlinearity by the maximum likelihood estimator, and a linear estimate of the target position and its associated noise statistics obtained by the Newton–Raphson iterative optimization steps are applied into the standard Kalman filter. …”
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Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies by Batchu Veena Vani, Dharavath Kishan, Md Waseem Ahmad, Ch. Rama Prakasha Reddy

“…This article presents a method using the Bat Algorithm (BA) improved by chaotic diversification as well as social education to optimize the power source replacement and the electric vehicle charging procedure. …”
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Gas Chromatography/Atmospheric Pressure Chemical Ionization-Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of Pyrolysis Oil from German Brown Coal by Jan Zuber, Marius M. Kroll, Philipp Rathsack, Matthias Otto

“…Development of this ultrahigh-resolving analysis method is described, that is, optimization of specific GC and APCI parameters and performed data processing. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules by Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang

“…Traditional bearing fault diagnosis methods are ineffective in diagnosing complex faults and mostly rely on the manual adjustment of hyperparameters. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…Abstract Analogue series (AS) are generated during compound optimization in medicinal chemistry and are the major source of structure–activity relationship (SAR) information. …”
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Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
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Multi-Agent Deep Reinforcement Learning Approach for Temporally Coordinated Demand Response in Microgrids by Chunchao Hu, Zexiang Cai, Yanxu Zhang

“…Price-based and incentive-based demand response (DR) are both recognized as promising solutions to address the increasing uncertainties of renewable energy sources (RES) in microgrids. However, since the temporally optimization horizons of price-based and incentive-based DR are different, few existing methods consider their coordination. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models by Hartika Aulia, Syaharuddin Syaharuddin, Vera Mandailina, Hamenyimana Emanuel Gervas, Hameed Ashraf

“…This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…Different dynamics related to the energy sources can affect the design and operation of the integrated systems. …”
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Research and Engineering Practice of Var-Voltage Control in Primary and Distribution Networks Considering the Reactive Power Regulation Capability of Distributed PV Systems by Haiyun Wang, Qian Chen, Linyu Zhang, Xiyu Yin, Zhijian Zhang, Huayue Wei, Xiaoyue Chen

“…Through the analysis of actual operation cases in a regional power grid, the results demonstrate a reduction in network loss by 171.14 kW through voltage adjustment, validating the effectiveness of the proposed strategy. This method fully leverages the reactive power regulation capability of distributed renewable energy sources, reduces the operational frequency of reactive power equipment in substations, and synergizes with the AVC system to achieve optimal power grid operation.…”
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Assessment of Distribution Network Security Carrying Capacity under Emergency Incidents by LI Jiayu, WANG Jianjun, LIU Yanchao, LIU Jie, LI Hao, JIANG Junjie, TENG Jialun

“…Additionally, a strategy for selecting critical safety constraints based on an iterative method is introduced, enhancing solution efficiency by focusing solely on crucial safety constraints in the optimization model to satisfy all feasible power flows. …”
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Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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