A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning by Yanfeng Wei, Haibin Liu, Min Wei, Mingfei Li

“…First, finite element simulation is used to model the bearing dynamics and create a fault dataset to address data collection challenges and verify the feasibility of the method. Secondly, an attention mechanism is introduced in the feature extraction layer, combined with a deep transfer learning framework based on domain adversarial networks, to optimize feature extraction and align source and target domain features, thereby improving the accuracy of fault diagnosis and model generalization ability. …”
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Time-division prediction method for peak power of distributed new energy access power grid based on ARIMA–RBF by Yangrui Zhang, Junpeng Zhao, Chao Zhang, Bingyu Zhang, Xiaoyu Liu, Shaokang Feng

“…Historical power data are selected using a similar-day method and segmented into different periods using the Fisher optimal division method. …”
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Gearbox fault diagnosis method based on adaptive multi-sensor data level fusion and fine-grained domain adaptation by Yabin Shi, Gaige Chen, Lin Li, Xiaozheng Jin, Jian Zheng, Zhongquan Li

“…Ultimately, a teacher model generates reliable pseudo-labels for the target domain, thereby reducing class-conditional shifts between the source and target domains. The findings on the MCC5 dataset demonstrate that AMDFFDA surpasses its competitors in the realm of unsupervised cross-domain fault diagnosis, achieving an average accuracy of 75%. …”
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Enhancing PQQ production in Acinetobacter calcoaceticus through uniform design and support vector regression by Yu-han Li, Yu-han Li, Su-hang Yao, Su-hang Yao, Yan Zhou, Xiu-lan He, Xiu-lan He, Zhe-ming Yuan, Zhe-ming Yuan, Qiu-long Hu, Cheng-wen Shen, Xin Li, Xin Li, Yuan Chen

“…Notably, the optimized formulation is also cost-effective, featuring minimized consumption of pivotal elements like carbon and nitrogen sources. …”
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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks by Sneh Pandya, Purvik Patel, Brian D Nord, Mike Walmsley, Aleksandra Ćiprijanović

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Statistical and neural network modeling of β-glucanase production by Streptomyces albogriseolus (PQ002238), and immobilization on chitosan-coated magnetic microparticles by Nourhan H. Elshami, Ghadir S. El‑Housseiny, Mahmoud A. Yassien, Nadia A. Hassouna

“…Other fermentation conditions were optimized through response surface methodology (RSM); D-optimal design (DOD) with a total of 28 runs. …”
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Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
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Optimal energy management of distributed generation resources in a microgrid under various load and solar irradiance conditions using the artificial bee colony algorithm by Tareq Hamadneh, Omar Alsayyed, Belal Batiha, El Manaa Barhoumi, Mehrdad Ahmadi Kamarposhti, Hassan Haghighi, Phatiphat Thounthong, Ilhami Colak

“…Achieving these objectives requires comprehensive modeling of all microgrid components, including load profiles, generation sources, and the network structure. In recent years, metaheuristic optimization techniques have gained significant traction due to their flexibility and robustness in handling complex, nonlinear, and multi-objective problems without the need for initial estimations. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

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Optimization of photodegradation of acid blue 1 dye on aluminosilicate supported Cu doped TiO2 magnetic nanocatalyst using response surface methodology by Fatemeh Mollaie, Mahdieh Afroomand, Najmeh Ahmadi, Nezamaddin Mengelizadeh, Davoud Balarak

“…In this study, sunlight was utilized as an energy source for the degradation process. The degradation of AB1 reached its peak efficiency under the following optimal conditions: catalyst mass of 0.75 g/L, AB1 concentration of 37.5 mg/L, pH of 3, and a contact time of 45 min. …”
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Optimization of steps in the technology of obtaining doubled haploids of summer squash (<i>Cucurbita pepo</i> L.) in the culture of unpollinated ovules <i>in vitro</i> by A. S. Ermolaev, E. A. Domblides

“…The aim of the study was to optimize the individual stages of the technology.Methods. …”
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Assessment of Economic, Technical, Social, and Environmental Impact of Flexibility-based Smart Microgrid Operation by Faezeh Gholipour Zarandi, Masoud Rashidinejad, Amir Abdollahi, Ali Yazhari Kermani

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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Overcoming this challenge is critical for optimizing HF operations and ensuring reservoir efficiency.MethodsWe propose the wide-field electromagnetic method (WFEM) as a novel solution for real-time HF monitoring in shielded environments. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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A new method to retrieve relative humidity profiles from a synergy of Raman lidar, microwave radiometer, and satellite by C. Ji, Q. Jin, F. Li, Y. Liu, Z. Wang, Z. Wang, J. Mao, J. Mao, X. Ren, Y. Xiang, W. Jian, W. Jian, Z. Chen, Z. Chen, P. Zhao, P. Zhao

“…Our suggested method for RH profiling demonstrates optimal concordance with the best correction coefficients <span class="inline-formula"><i>R</i></span> of 0.94 in Huhehaote (HHHT), 0.92 in Yibin (YB), and 0.93 in Qingyuan (QY). …”
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Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…Because of the high cost and difficulties of operation and maintenance of in situ instrumentation over irrigated fields, fine-scale monitoring of soil moisture (SM) based on remote sensing and a simulation model may be a practical way to inform irrigation practices. We herein propose a method for integration of low-cost, available, multi-source data, including field data (crop, soil, and weather) and high-resolution satellite data (Sentinel-2 and Landsat-8) into a soil–water–atmosphere–plant (SWAP) model to provide daily, accurate surface- and root-zone SM at the field scale that can inform optimal management of irrigation water. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…For the design of mobile phases for the separation of mixtures of BAS of plant origin, in a thin layer of sorbent, the following approaches are used: literary sources; standard mobile phases; spot elution method; the scheme proposed by the firm Camag (Switzerland); model "PRISMA"; variocameras and others. …”
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Review on Heat Transfer Enhancement Methods of Latent Heat Storage Technology;Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province by Zhang Chunwei, Chen Jing, Wang Chenggang, Jing Zhuo, Zhang Xuejun, Jiang Long

“…Based on the obtained conclusions, three relative geometric relations between the heat source and heat sink are summarized, namely the expansion type, parallel type, and contraction type, which can effectively guide the overall design of the latent heat storage units. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The main advantage for readers is that FATA provides a reliable and efficient way to optimize power systems. Future work could also investigate the application of FATA in real time, as well as in larger power networks with more renewable energy sources.…”
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