Reduction of carbon and water footprints in wet coffee processing and optimization of wastewater treatment at the wet mill factory by Xia Li, Qian Jia, Yifan Gu, Godrick Bulitia, Joseph Nyamoko Tinega, Fengting Li

“…However, wet coffee processing and coffee wastewater treatment stages are a major source of carbon emission and high-water footprint. …”
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Multi-view affinity-based projection alignment for unsupervised domain adaptation via locality preserving optimization by Weibin Luo, Mingye Chen, Jian Gao, Yanping Zhu, Fang Wang, Chenyang Zhu

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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases by Lawrence Kujur, Varuna Gupta, Abhinav Singhal

“…Trained on a dataset of 3,000 citrus fruit images sourced from Kaggle, the model follows a structured process of preprocessing, feature extraction, integration of GB with CNN, and optimal prediction. …”
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Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates by Mo Zhang, Yong Ge, Jianghao Wang

“…Mapping strategies such as downscaling and interpolation have been developed to obtain high-resolution soil moisture maps from multi-source inputs. However, research on the optimization performance of integrating downscaling and interpolation, especially through the use of mutual covariates, remains unclear. …”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…With the high penetration rate of distributed photovoltaic access and the promotion of re-electrification and electrical energy substitution, the volatility of the system source and load is intensified, and the traditional distribution network planning methods are difficult to adapt to the requirements of the new power system development. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Secondly, to mitigate the adverse impact of irrelevant features on model performance in traditional software defect prediction methods, this study introduces a binary multi-strategy enhanced Parrot Optimization algorithm (BMEPO) for optimizing feature selection. …”
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Optimization and assessment of an integrated workflow for the isolation and proteomic analysis of small urinary extracellular vesicles (suEVs) by Yilan Hu, Jifeng Wang, Xiaoqing Qing, Tanxi Cai, Lili Niu, Xiang Ding, Zhensheng Xie, Mengmeng Zhang, Xiaojing Guo, Xiulan Chen, Fuquan Yang

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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The decentralized, open-source architecture of blockchain technology, exemplified by the Ethereum platform, has transformed online transactions by enabling secure and transparent exchanges. …”
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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…We introduced a novel optimization technique for both machine learning and deep neural networks, comparing its performance to established methods like the Jaya optimization technique and GridSearchCV. …”
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Optimizing Thermal Performance of Mini Heat Exchangers: An Experimental Analysis Using a Full Factorial Design by Sergio da Silva Franco, Álvaro Augusto Soares Lima, Alvaro Antonio Villa Ochoa, José Ângelo Peixoto da Costa, Gustavo de Novaes Pires Leite, Márcio Vilar, Kilvio Alessandro Ferraz, Paula Suemy Arruda Michima

“…The innovation of this study resides in the development and analysis of a mini heat exchanger optimized using chemometric methods to achieve efficient thermal dissipation. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…Photovoltaic (PV) technology, as a crucial source of clean energy, can effectively mitigate the impact of climate change caused by fossil fuel-based power generation. …”
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Optimization of Grassland Carrying Capacity with Grass Quality Indicators Through GF5B Hyperspectral Images by Xuejun Cheng, Maoxin Liao, Shuangyin Zhang, Siying Wang, Yiyun Chen, Teng Fei

“…Previous remote sensing methods have predominantly focused on yield indicators, often neglecting quality indicators, which hampers precise GCC estimation. …”
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Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

“…This globally used model serves as a tool for data interpretation and decision support in the context of precision fish farming. Methods Alternative protein and oil sources, including poultry by-product meal (PBM) and natural algae oil, were explored as sustainable replacements for fishmeal (FM) and fish oil (FO). …”
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Research on Intelligent Hierarchical Energy Management for Connected Automated Range-Extended Electric Vehicles Based on Speed Prediction by Xixu Lai, Hanwu Liu, Yulong Lei, Wencai Sun, Song Wang, Jinmiao Xiang, Ziyu Wang

“…Focusing on connected car-following scenarios, acceleration sequence prediction is performed based on Kalman filtering and preceding vehicle acceleration. A dual-layer optimization strategy is subsequently developed: in the upper layer, optimal speed curves are planned based on road network topology and preceding vehicle trajectories, while in the lower layer, coordinated multi-power source allocation is achieved through <i>EMS_MPC-P</i>, a Bayesian-optimized model predictive EMS based on Pontryagin’ s minimum principle (PMP). …”
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Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

“…Lithium-ion batteries (LIBs) have powered the modern world to propel electric vehicles (EVs) and renewable energy sources. These technologies demand higher efficiency and reliability, thereby providing robust mathematical methods are essential for optimizing species diffusion in lithium-ion (Li-ion) cells. …”
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Assessment and Optimization of Ecological Networks in Trans-Provincial Metropolitan Areas—A Case Study of the Xuzhou Metropolitan Area by Yijia Zhao, Peiyuan Zhang, Hao Xu, Wei Liu

“…In this study, we optimized the identification of ecological sources at the metropolitan area scale by constructing the ‘MIE’ model combined with the threshold analysis method, identified the core ecological sources in the Xuzhou Metropolitan Area, a typical cross-provincial metropolitan area in China, and then extracted the ecological corridors by using the Linkage Mapper tool based on this method. …”
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A Novel Method for Determining Optimum Dimension Ratios for Small Rectangular Rooms by Mirosław MEISSNER

“…Thus, to find the best possible dimension ratios, in the numerical procedure the optimal source position was assumed. Calculation results have shown that optimum dimension ratios depend on the room volume and the sound damping inside a room, and for small and medium volumes these ratios are roughly 1 : 1.48 : 2.12, 1 : 1.4 : 1.89 and 1 : 1.2 : 1.45. …”
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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

“…Yet today's codes increasingly use adaptive mesh refinement (AMR) of unstructured coarse meshes, dynamic repartitioning, and scale to thousands of processors. Optimally balancing the work per processor for a PIC method in these environments is a difficult problem, and many existing implementations are not sufficient for this task. …”
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A power grid partitioning method based on complex network coupling matrices by XIONG Jun, TANG Fan, CHEN Zeming, WANG Yimiao, MEI Tao

“…Finally， considering the grid’s operational characteristics and topological features， the local expansion method of complex network theory is adaptively improved to achieve non-overlapping optimal grid partitioning. …”
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