Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…In this regard, considering the nature of each uncertain variable, a different probabilistic method is utilized. For instance, to account for the influence of power generated from renewable energy sources on the decision-making process, a diurnal version of the long-term short-term memory network is developed to forecast day-ahead weather. …”
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An Optimized and Energy-Efficient Ad-Hoc On-Demand Distance Vector Routing Protocol Based on Dynamic Forwarding Probability (AODVI) by Hailu Gizachew Yirga, Gizatie Desalegn Taye, Henock Mulugeta Melaku

“…Broadcasting is a standard MANET approach for sending messages from a source node to all other nodes in the network. Flooding is a frequent method for broadcasting route request (RREQ) packets, which is susceptible to broadcast storms. …”
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Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo, Yan Shi

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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market by Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

“…The method takes into account the characteristics and uncertainties of renewable energy sources such as solar and wind energy, and incorporates advanced multi-objective optimization algorithms. …”
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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve point effects, and prohibited zones. …”
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Enhanced nattokinase production by Bacillus subtilis from glycerol and okara: optimization of culture medium via response surface methodology by Yaling Duan, WanTing Du, Yang Xu, Gege Guo, Zhaoxing Liu, Ning Hao

“…Building upon this, fermentation conditions using glycerol as the carbon source and okara as the nitrogen source were optimized. …”
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Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…This results in a complete point cloud post-denoising. The method is implemented through secondary development based on the open-source software Cloud Compare. …”
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Optimization of parameters of quiet permanent magnet synchronous motor for linear drive of long-stroke single-stage piston compressor by A. A. Tatevosyan

“…The substantiation of the maximum possible efficiency of the PMSM for the sinusoidal and non-sinusoidal laws of motion of the inductor is given.PURPOSE: Obtaining a solution to the problem of optimizing the magnetic system design of a low-speed PMSM as a part of a linear drive of a single-stage reciprocating compressor for a given law of motion of the moving part that meets the criterion of maximum efficiency of an electromechanical converter.METHODS: The methods of the theory of electromechanical energy converters, theoretical electrical engineering, mathematical modeling, optimization methods, variational, differential and integral calculus, as well as experimental methods are used.RESULTS: The results of an experimental study of the developed prototype of a low-speed SDPM as a part of a linear drive of a long-stroke single-stage reciprocating compressor are presented.CONCLUSION: The highest efficiency of the PMSM is achieved when the current in the armature winding changes with time in direct proportion to the speed of the inductor. …”
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Optimized ultrasound-assisted extraction for phenolic and antioxidant analysis in purple senggani (Melastoma malabathricum) flowers: Influence of developmental stages by Dea Tio Mareta, Umar Santoso, Supriyadi, Widiastuti Setyaningsih

“…This study aimed to optimize the UAE method to analyze phenolic compounds across different flower developmental stages, which affect total phenolic content (TPC) and total antioxidant capacity (TAC). …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Besides, the greylag goose optimization (GGO) method is employed for the feature selection process. …”
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A parameter uniform hybrid approach for singularly perturbed two-parameter parabolic problem with discontinuous data by N. Roy, A. Jha

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Agrofood Waste and By-Product Valorization, Extraction, and Characterization of Pectin from the Waste Biomass Fruit Peel of Aframomum angustifolium Using Response Surface Methodolo... by Akuro Blaise Mbaku, Pride Ndasi Ngwasiri, Wilson Agwanande Ambindei, Ngwa Martin Ngwabie, Martin Benoit Ngassoum

“…Applications of pectin in the food industry are strongly influenced by their source, structures, and extraction methods, which affect their functionalities. …”
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Multi-Source Attention U-Net: A Novel Deep Learning Framework for the Land Use and Soil Salinization Classification of Keriya Oasis in China with RADARSAT-2 and Landsat-8 Data by Yang Xiang, Ilyas Nurmemet, Xiaobo Lv, Xinru Yu, Aoxiang Gu, Aihepa Aihaiti, Shiqin Li

“…Moreover, the MS + SAR MSA-U-Net, in comparison to traditional machine learning methods and the baseline model, improved the OA and Kappa coefficient by 8.24% to 12.55% and 0.08 to 0.15, respectively. …”
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Optimization of <i>Sargassum bovianum</i> Extraction Techniques for Germination of Wheat, Canola, and Corn Under Different Salinity Stress by Mehdi Derafshi, Akbar Hassani, Setareh Amanifar, Mohammad Babaakbari, Narges Hematimatin, Behnam Asgari Lajayer, Tess Astatkie, G. W. Price

“…Seaweeds are a cheap, eco-friendly, and rich source of plant growth stimulators that can mitigate the adverse effects of salinity stress. …”
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Research on Distribution Network Security Analysis Based on K(N-1+k) Criterion and Rank Preference Optimal Ordering by Wang Zengping, Yao Yuhai, Yu Junya, Yun Chentai

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Optimization of Odorous Compounds Analysis in Water Using Headspace-SPME and GC-MSD, and Detection Characteristics in the Nakdong River Basin by Heejong Son, Pilkyeong Lee, Goeun Kim, Seongho Jang, Byungryul An

“…Furthermore, continuous research is needed on various odorous compounds beyond the 10 odorous compounds in this study, including the optimization of analytical methods and the detection characteristics in water sources.…”
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Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory by Jiang Bian, Yang Wang, Zhaoshuai Dang, Tianchun Xiang, Zhiyong Gan, Ting Yang

“…This model aims to achieve accurate carbon measurement across all operational aspects of distribution networks, reduce their carbon emissions through controlling unit operations, and ensure stable and safe operation. First, we propose a method for measuring carbon emission intensity on the source and network sides of active distribution networks with network losses, allowing for the calculation of total carbon emissions throughout the operation of networks and their equipment. …”
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A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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Distributed PV hosting capacity assessment method for distribution network considering planning of flexible resource by XU Jiayu, WANG Xiaobing, LI Bing, GU Jingda, ZHANG Qiushi, ZANG Tianlei

“…Firstly, based on the traditional multi-scenario construction method, the concept of time-sequence correlation is introduced establish the joint scenario set of source and load considering time sequence autocorrelation and cross-correlation. …”
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