Assessment of Ecosystem Characteristics and Fishery Carbon Sink Potential of Qianxiahu Reservoir Based on Trophic Level and Carbon Content Methods by Mei Liu, Mengxia Shu, Qingping Lian, Aihuan Guo, Dan Zhou, Songbao Zou, Julin Yuan, Guangmei Chen

“…Optimizing biological carbon sequestration has become a primary strategy in global low-carbon-emission initiatives. …”
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Estimation of Moderate-Resolution Snow Depth in Xinjiang With Enhanced-Resolution Passive Microwave and Reanalysis Data by Machine Learning Methods by Yongchang Yan, Yan Qin, Yongqiang Liu, Yubao Qiu, Yang Liu

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Method for rapid deployment of low-cost sensors for a nationwide project in the Internet of things era: Air quality monitoring in Taiwan by Fan-Lun Chen, Kun-Hsing Liu

“…However, the conventional siting optimization methods were inadequate for deploying thousands of sensors. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
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In vitro Antimicrobial Activity, Optimization, GC-MS, and In silico analysis for Anticancer Potency of Schizophyllum commune (AVNK2), An Endophyte Isolated from Nigella sativa Seed... by Shaik Mahekal Kousar, V. Krishnaveni, Amrutha V. Audipudi

“…The optimal physicochemical parameters of culture media for enhancing bioactivity were glucose as carbon, beef extract as nitrogen sources, pH 7.0, and temperature 30 °C with 21 days of incubation. …”
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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images by Zhuting Tan, Zhengyu Tan, Juhua Luo, Hongtao Duan

“…Specifically, the cropland in this study was extracted by using an object-oriented classification method with Landsat images and the results were optimized as the vectorized boundary of croplands. …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…Initially, thermography images are chosen from online sources. The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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Synthesis and optimization of low-cost metal-organic frameworks from melamine and bauxite for efficient removal of bromocresol green from water using response surface methodology by Mahdieh Chegeni, Mohanna Chegeni, Maedeh Nazari, Ghazal Ebrahim Zade

“…Sustainable chemistry is an important subject in the research area, so the metal-organic framework (MOF) was synthesized through the solvothermal method with bauxite as a natural source of metal and melamine as a ligand. …”
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Effects of Culture Conditions on the Growth of Dominant Strain ZLX10 from Cigar by Yong PAN, Beibei ZHANG, Yabin ZHOU, Jie HU, Yuhui JING, Linlin LI, Youyi HUANG, Jian WANG

“…Through single factor and orthogonal test, the optimal medium formula of strain ZLX10 was obtained as follows: carbon source (sucrose) 50 g/L, nitrogen source (yeast extract) 20 g/L, inorganic salt (MgSO4) 0.25 g/L, and the optimal culture conditions were 1% (V/V) of inoculum, 30 mL/250 mL of liquid content, and 24 h of seed age. …”
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Diagnosis Method for High-Speed Train Axle Box Bearing Slight Faults Based on Improved SAE and Temperature-Vibration Fusion by XU Xiao, SONG Dongli, WANG Zifan

“…［Result & Conclusion］ Compared with single-source feature-driven fault diagnosis method, the fault diagnosis accuracy of the diagnosis method based on temperature-vibration feature fusion is higher, with an average diagnosis accuracy rate of over 99%. …”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…We propose pre-training a variational information bottleneck (VIB)-based Quality of Service (QoS) estimator, using slice-specific inputs shared across all source domain slices. Each target domain slice can deploy this estimator to predict its QoS and optimize slice resource allocation using the IDLA algorithm. …”
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HPD-Kit: a comprehensive toolkit for pathogen detection and analysis by Tengcheng Que, Tengcheng Que, Tengcheng Que, Wen Li, Wen Li, Wen Li, Zhining Zhang, Yunlin He, Kangming He, Hong Qiu, Hong Qiu, Juan Huang, Zhiwei Lu, Chunlan Jiang, Yongjian Huang, Hui Huang, Qiuyu Wu, Panyu Chen, Yanling Hu, Yanling Hu, Yanling Hu, Wenjian Liu

“…We developed HPD-Kit (Henbio Pathogen Detection Toolkit) with an integrated pathogen database to simplify pathogen detection and analysis for both human and animal pathogens.MethodsHPD-Kit includes a specifically curated pathogen database and optimized bioinformatics pipeline. …”
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An Explainable Deep Semantic Coding for Binary-Classification- Oriented Communication by Shuhui Wang, Zuxing Li, Xin Huang, Qi Jiang

“…To address these limitations, this paper proposes a novel explainable deep semantic coding framework, considering a binary mixed source and a classification task at the receiver. …”
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Dynamic reconfiguration of distribution networks considering wind-PV-load scenarios by LIU Ronghui, CHEN Geng, SUN Gaiping, LIN Shunfu, WANG Xu

“…The non-dominated sorting genetic algorithm II （NSGA-II） and fuzzy comprehensive evaluation method are utilized to derive the optimal reconfiguration strategy. …”
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Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

“…The lack of seamless integration between customer orders and production tasks, combined with the manual and time-consuming nature of schedule adjustments, highlights the need for an automated and optimized scheduling method. We propose a novel optimization-based approach that leverages mixed-integer linear programming (MILP) combined with a proprietary procedure for reducing the size of the modeled problem to generate feasible and/or optimal production schedules. …”
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Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…Bayesian optimization is employed as the metaheuristic approach to optimize the BiLSTM model’s architecture. …”
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Evaluation and estimation of changes in water quality using zoning map and researchers-developed software (case study: Pir-Bazar river) by Majid Homami, Seyed Ahmad Mirbagheri, Seyed Mehdi Borghei, Madjid Abbaspour

“…In this research, zoning maps were prepared and the status of present and future water quality parameters of the basin were accurately estimated using a researchers software-developed application and the five interpolation methods of Kriging, S-PLUS, polynomial regression, inverse distance to power, and local polynomial; and finally the optimal method was selected through a root-mean-square error (RMSE) based cross validation approach.  …”
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Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

“…Abstract This article proposes a method based on elastic wave data reconstruction and denoising to solve the problem of defect localization in grounding grid down conductor flat steel. …”
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Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…The proposed method is effectively validated by comparison with robust optimization and stochastic optimization. …”
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Pressure Sensor Placement for Pipe Roughness Calibration Based on Graph-Based Surrogate Model Coupled with Genetic Algorithm by Mohammad Rajabi, Mohsen Hajibabaei, Massoud Tabesh, Robert Sitzenfrei

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