Valorization of <i>Tagetes erecta</i> L. Leaves to Obtain Polyphenol-Rich Extracts: Impact of Fertilization Practice, Phenological Plant Stage, and Extraction Strategy by Narda Mejía-Resendiz, Martha-Estrella García-Pérez, Gina Rosalinda De Nicola, Noé Aguilar-Rivera, Emma-Gloria Ramos-Ramírez, María Galindo, Miguel Avalos-Viveros, José-Juan Virgen-Ortiz

“…This underscores the significance of <i>T. erecta</i> leaf residues as a valuable source of bioactive molecules, highlighting the importance of integrating agricultural practices and chemical extraction methods to enhance the phenolic content in leaf extracts from this species.…”
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Energy Management Control Strategy Based on Harris Hawks Optimization Technique for Fuel Cell Hybrid Electric Vehicle by Gondu Vykunta Rao, Ankit Soni, Aruna Bharathi, Baratam Murali, Vanjarapu Vykunta Rao

“…This paper will discuss the combination of Harris Hawks Optimization (HHO) for the energy management and control of these source systems, for the constraint of mandated sources, and to ensure stability. …”
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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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Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…This study talks about the methods for optimizing power usage and harnessing energy to improve efficiency within networks shown in 2 and 2.1. …”
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A bioprocess optimization study to enhance the production of Menaquinone-7 using Bacillus subtilis MM26 by Maneesha M, Subathra Devi C

“…The one factor at a time (OFAT) results showed that medium containing lactose, glycine, with a pH 7, a temperature of 37 °C, and an inoculum size of 2.5% (2 × 10⁶ CFU/mL) was optimal synthesis of MK-7. RSM indicated that incubation time, carbon and nitrogen sources were the factors significantly affecting the MK-7 yield. …”
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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

“…Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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BERTopic_Teen: a multi-module optimization approach for short text topic modeling in adolescent health by Yiqiang Feng, Ziao Chen, Yuxin Zhang, Wenyuan Huang, Xuanming Zhang, Siyu He

“…Adolescent health has become a critical dimension in the digital era, as social media platforms emerge as vital sources of real-time behavioral data for informing sustainable and equitable public health strategies. …”
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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…A focal loss function was employed to enhance the model's focus on the drill head and gripper, and Bayesian parameter optimization was used for hyperparameter tuning. Then, the measured point cloud is registered using the Fast Point Feature Histogram (FPFH) and Iterative Closest Point (ICP) algorithms to obtain the transformation matrix from the measured point cloud to the source point cloud. …”
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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

“…The accurate estimation of grassland carrying capacity (GCC) in the alpine grasslands of the Changjiang River source region is crucial for managing livestock loads and ensuring ecological security on the Qinghai-Tibetan Plateau. …”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

“…<b>Methods:</b> This research presents an innovative cancer classification technique that combines fast minimum redundancy-maximum relevance-based feature selection with Binary Portia Spider Optimization Algorithm to optimize features. …”
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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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Study of clay soil properties when using the method of concentrated lime exposure by E. N. Alkaev, A. A. Lunev, V. V. Golubenko

“…In the Siberian Federal Area, the abundance of clay soils sources with above-optimal moisture content significantly complicates the technology of operations, reduces the speed of work, and makes some reserves unusable. …”
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Effective optimal control of a wind turbine system with hybrid energy storage and hybrid MPPT approach by D. Rekioua, N. Mezzai, Z. Mokrani, A. Oubelaid, K. Kakouche, P. O Logerais, Muhannad Alshareef, Mohit Bajaj, Milkias Berhanu Tuka, Sherif S. M. Ghoneim

“…Abstract This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems’ optimization controllers operate MPPT strategies efficiently, optimizing the system’s overall performance. …”
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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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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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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

“…The primary aim of this research is to develop and evaluate a novel optimization algorithm for accurate SOC prediction by leveraging multi-source environmental data. …”
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Multi-scale computational fluid dynamics and machine learning integration for hydrodynamic optimization of floating photovoltaic systems by Fadhil Khadoum Alhousni, Samuel Chukwujindu Nwokolo, Edson L. Meyer, Theyab R. Alsenani, Humaid Abdullah Alhinai, Chinedu Christian Ahia, Paul C. Okonkwo, Yaareb Elias Ahmed

“…Scopus, Web of Science, Google Scholar, ScienceDirect, SpringerLink, and Taylor & Francis were the sources of 404 research publications in all. 189 high-impact publications were found through a careful curation of online databases, with a focus on computational innovations, machine learning (ML)-based optimization, and hydrodynamic analysis. …”
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