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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Optimization of Power System Black Start partition Target Network Taking into Account the Black Start Space-Time Support Capability of New Energy Station by Ruixin WANG, Jiguang SUN, Yan LIU, Lun CHENG, Ting XU, Guanghui SUN

“…Taking into account the spatiotemporal support capacity of new energy station black start, a target network optimization method for power system black-start zoning is proposed to improve unconventional security defense ability of the new power system. …”
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Introducing Cu(II) onto SiO₂-TiO₂ with Rice Husk Ash as the Source of Silica and Its Catalytic Activity for Kumada Cross-coupling Reaction to Produce Biphenyl... by Dewi Agustiningsih, Nuryono Nuryono, Sri Juari Santosa, Eko Sri Kunarti

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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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A modified single-vector based FCS-MPC with delayed and suboptimal switching for VSI by Pengcheng Yang, Xiao Zeng, Qiuwei Wu, Hongda Cai, Yanghong Xia, Jing Li

“…Instead of switching directly to the optimal state at the start of the control period, the proposed method employs a delayed switching strategy to suppress total harmonic distortion (THD), which actually combines the previous state and the optimal state in one control period without additional switching action. …”
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Enhanced production and purification of L-asparaginase from Bacillus paralicheniformis AUMC B-516 with potent cytotoxicity against MCF-7 cell lines by Abdullah Abobakr Saleh, Hamdy M. El-Aref, Azza M. Ezzeldin, Rania M. Ewida, Osama A. M. Al-Bedak

“…Nowadays, bacterial species represent the main source of microbial synthesis for L-asparaginase. …”
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Energy Storage Regulation Method of Base Stations in 5G Integrated Distribution Network Based on Energy Sharing and Trading Coordination by Yanru WANG, Xiyang YIN, Qinghai OU, Wenjie MA, Hui LIU, Zhigang DU

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A multi-objective deep reinforcement learning method for intelligent scheduling of wind-solar-hydro-battery complementary generation systems by Yuanyu Ge, Jun Xie, Jiaqi Chang, Shuo Feng

“…Simulation results indicate that the proposed intelligent scheduling method effectively achieves multi-objective scheduling for the WSHBCS, outperforming traditional heuristic optimization methods in terms of multi-objective optimization performance, uncertainty adaptability, and solution time.…”
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Framework for Personalizing Wearable Devices Using Real-Time Physiological Measures by Prakyath Kantharaju, Sai Siddarth Vakacherla, Michael Jacobson, Hyeongkeun Jeong, Meet Nikunj Mevada, Xingyuan Zhou, Matthew J. Major, Myunghee Kim

“…In this study, we present an open-source, device-independent personalization framework that allows for human-in-the-loop optimization. …”
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Response surface optimized green approach for silk and cotton dyeing using peels extract as a dye and pomegranate rind as bio-mordant: Waste to craft by Hafiz Nawaz Hussain, Faiza Imtiaz, Arfaa Sajid, Umer Younas, Qaisar Manzoor, Wissem Mnif, Arif Nazir, Samiah H Al-Mijalli, Munawar Iqbal, Nimra Ehsan

“…In this study, a green method was employed for dyeing silk and cotton fabrics using extracts from Beta vulgaris peels as a colorant, pomegranate rind as a bio-mordant, and microwave-assisted extraction as a green extraction technique. …”
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A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…This paper explores the biomass supply chain's untapped potential as an entrepreneurial opportunity, analyzing its complexities from raw material sourcing to product distribution. The study utilizes a hybrid, multifaceted approach to allow for such a thorough analysis, in which the first phase is to analyze questionnaires and use the fuzzy Delphi method to determine how various components and factors impact the biomass supply chain. …”
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Optimization of extraction in supercritical fluids in obtaining Pouteria lucuma seed oil by response surface methodology and artificial neuronal network coupled with a genetic algo... by Alex Chauca-Cerrutti, Marianela Inga, José Luis Pasquel-Reátegui, Indira Betalleluz-Pallardel, Gustavo Puma-Isuiza

“…The optimal parameters were 45°C, 300 bar, and 6 mL/min, obtaining 97.35% of the total oil content. …”
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Reproducibility of the visual palatability of the crumb of bread and a novel sensory evaluation method using images presented on a screen by Yukinori Sato

“…In addition, sensory evaluation measurement using a projector was confirmed to be useful. Finally, the optimal light source for the crumb of white bread was TL83. …”
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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. …”
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Optimization of Ultrasonic-Enzymatic-Assisted Extraction of Flavonoids from Sea Buckthorn (<i>Hippophae rhamnoides</i> L.) Pomace: Chemical Composition and Biological Activities by Wenyu Suo, Wenzhe Wang, Dajing Li, Haihong Wu, Haiyan Liu, Wuyang Huang, Yanhong Ma

“…These findings indicate that it is a reliable, optimal extraction method to obtain potential antioxidant and hypoglycemic flavonoids from SBP for comprehensive development in functional food.…”
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A Reliability Assessment Method for Distribution Networks Based on Conditional Generative Adversarial Network and Multi-agent Reinforcement Learning by Huihui XU, Yunfei TIAN, Yuyang ZHAO, Jing PENG, Qingxin SHI, Rui CHENG

“…Simulation results demonstrate that the proposed method outperforms traditional methods in terms of learning curve and stability, significantly improving both the accuracy and computational efficiency in distribution network reliability assessment, possessing superior practical values.…”
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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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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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Probabilistic Noise Detection and Weighted Non-Negative Matrix Factorization-Based Noise Reduction Methods for Snapping Shrimp Noise by Suhyeon Park, Jongwon Seok, Jungpyo Hong

“…To verify the effectiveness of the proposed method, the SAVEX-15 dataset, real ocean data containing SSN, is used. …”
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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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