Beyond Standard Losses: Redefining Text-to-SQL with Task-Specific Optimization by Iker Azurmendi, Ekaitz Zulueta, Gustavo García, Nekane Uriarte-Arrazola, Jose Manuel Lopez-Guede

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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

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Optimizing stocking density for enhanced fish yield in lacustrine cage aquaculture by Christopher Mulanda Aura, Hezron Awandu, Venny Mziri, FondaJane Awuor, Chrispine S. Nyamweya, Safina Musa

“…Fish provides an essential source of high-quality protein and micronutrients, supporting food security worldwide. …”
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Driving innovation: When design collaboration becomes open source, how do reward mechanisms and in-process feedback act as catalysts. by Boqun Xu, Kexin Xu, Yuning Zhu, Yiting Zhou, Xiaojian Liu

“…Results indicate that the Quota Allocation Method (QAM) increases individual productivity (quantity) and competitive awareness, while the Contribution-Based Allocation Method (CAM) fosters creativity (quality) and long-term engagement, along with higher referencing density and satisfaction. …”
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The Origin and Mixed-Source Proportion of Natural Gas in the Dixin Area of the Junggar Basin: Geochemical Insights from Molecular and Isotopic Composition by Sizhe Deng, Dujie Hou, Wenli Ma

“…The proposed method offers valuable guidance for assessing resources and optimizing exploration strategies in the Junggar Basin and other similar basins.…”
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Classification and Carbon-Stock Estimation of Mangroves in Dongzhaigang Based on Multi-Source Remote Sensing Data Using Google Earth Engine by Ruiwen Zhang, Jianchao Fan

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Variations in Rural PM2.5 Sources and Composition in the Post Coal-to-Gas Period Based on a Three-Year Observation by Zhi Ning, Zhiyong Li, Jihong Wei, Jinming Liu, Huichun Ma, Zhuangzhuang Ren, Xiaohua Ma, Chen Liu, Lan Chen, Aiqin Liu, Binglin Wang, Jiaqi Wang, Huiying Gao

“…Meanwhile, multiple chemical analysis methods were employed to determine its chemical components. …”
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Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. …”
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Dropout Kolmogorov–Arnold Networks: A Novel Data-Driven Impedance Modeling Approach for Voltage-Source Converters by Moetasem Ali, Yasser Abdel-Rady I. Mohamed

“…The extensive integration of voltage-source converters (VSCs) as interfaces for renewable energy sources in power systems increases stability concerns and demands accurate VSC impedance models to characterize grid-converter interactions at various operating points. …”
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Investigation of Long-Term Performance of a Proposed Cost-Effective HCl Non-Dispersive Infrared Analyzer at Real Stationary Sources by Byeong-Gyu Park, Trieu-Vuong Dinh, Sang-Woo Lee, In-Young Choi, Byung-Chan Cho, Da-Hyun Baek, Jong-Choon Kim, Jo-Chun Kim

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Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response by Yong Cui, Jian Zheng, Wenying Wu, Kun Xu, Desen Ji, Tian Di

“…In the context of advancing new power systems, a multi-source–grid–load interactive operation framework considering low-carbon demand hierarchical response is developed to further explore the support value of the multi-source–grid–load interaction mechanism for the low-carbon economic operation of the power system. …”
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Analysis of Nitrogen Dioxide Concentration at Highway Toll Stations Based on fsQCA—Data Sourced from Sentinel-5P by Shenghao Xu, Xinxiang Yang

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Agri-Food and Food Waste Lignocellulosic Materials for Lipase Immobilization as a Sustainable Source of Enzyme Support—A Comparative Study by Bartłomiej Zieniuk, Jolanta Małajowicz, Karina Jasińska, Katarzyna Wierzchowska, Şuheda Uğur, Agata Fabiszewska

“…The findings underscore the potential of lignocellulosic materials from the agri-food industry as effective supports for enzyme immobilization, emphasizing the importance of material selection and pretreatment methods in optimizing enzymatic performance through giving an example of circular economy application in food processing and waste management.…”
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Metaheuristic Optimization for Robust RSSD-Based UAV Localization with Position Uncertainty by Yuanyuan Zhang, Jiping Li, T. Aaron Gulliver, Huafeng Wu, Guangqian Xie, Xiaojun Mei, Jiangfeng Xian, Weijun Wang, Linian Liang

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PID Controller Parameter Optimized by Reformative Artificial Bee Colony Algorithm by Hualong Du, Pengfei Liu, Qiuyu Cui, Xin Ma, He Wang

“…A reformative artificial bee colony (RABC) algorithm is proposed for the PID parameter optimization problem. The algorithm balances the exploitation capability and exploration capability of the ABC algorithm by introducing a global optimal solution and improving the food source probability. …”
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A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification by Ayuningtyas Hari Fristiana, Syukron Abu Ishaq Alfarozi, Adhistya Erna Permanasari, Mahardhika Pratama, Sunu Wibirama

“…This review examines the HPO methods, hyperparameters, and tools utilized in this context based on 77 primary studies sourced from academic databases. …”
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An Improved Ant Colony Optimization to Uncover Customer Characteristics for Churn Prediction by Ibrahim Al-Shourbaji, Abdoh Jabbari, Shaik Rizwan, Mostafa Mehanawi, Phiros Mansur, Mohammed Abdalraheem

“…Experiments are performed on three different open-source customer churn prediction datasets. The results are evaluated using several evaluation metrics and compared with three other optimization methods. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…To evaluate the effectiveness of the suggested approach, we conduct a comparative analysis against four widely acknowledged metaheuristic methods found in the literature. The assessment is performed using ten standard datasets sourced from the UCI Machine Learning Repository. …”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

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Secure bio-inspired optimization with intrusion aware on-demand routing in MANETs by N. Naveen, J. Nirmaladevi

“…Only when the source node expresses a wish to do so, it builds route. …”
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