Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…To enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset. …”
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UAV Data Collection Co-Registration: LiDAR and Photogrammetric Surveys for Coastal Monitoring by Carmen Maria Giordano, Valentina Alena Girelli, Alessandro Lambertini, Maria Alessandra Tini, Antonio Zanutta

“…The combination of multiple drone datasets (LiDAR and photogrammetric clouds) is performed via indirect georeferencing, using different executions of the ICP procedure. The ICP algorithm is affected by the differences in the vegetation reconstruction by the two sensors, which may lead to a rotation of the slave cloud. …”
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Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

“…Change detection (CD) is detecting and evaluating surface changes by comparing Remote Sensing Images (RSIs) at different times, which is of great significance for environmental protection and urban planning. …”
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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

“…First,information entropy representing "disorder degree" was introduced to evaluate prediction quality and determine multi-classifier weights. …”
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Distributed Cognitive Positioning System Based on Nearest Neighbor Association and Multi-Point Filter Initiation for UAVs Using DTMB and INS by Li Zha, Hai Zhang, Na Wang, Cancan Tao, Kunfeng Lv, Ruirui Zhang

“…Finally, the effectiveness of the positioning at a constant altitude is evaluated through different vehicle-mounted scenarios with a speed of 60 km/h. …”
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Panel Temperature Dependence on Atmospheric Parameters of an Operative Photovoltaic Park in Semi-Arid Zones Using Artificial Neural Networks by Sonia Montecinos, Carlos Rodríguez, Andrea Torrejón, Jorge Cortez, Marcelo Jaque

“…The ANN model’s effectiveness was evaluated by comparing it to five different deterministic models: the Standard model, King’s model, Faiman’s model, Mattei’s model, and Skoplaki’s model. …”
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RAD-Seq-derived SSR markers: a new paradigm for genetic analysis and construction of genetically improved production populations in Pinus koraiensis by Pingyu Yan, Wanying Zhang, Junfei Hao, Xiaotian Miao, Jun Wu, Zixiong Xie, Zhixin Li, Lei Zhang, Hanguo Zhang

“…No statistically significant genetic differentiation was observed among the subgroups within the population, and the level of genetic diversity was comparable among subgroups delineated by different criteria. Significant differences in cone production were observed between the plus trees (P<0.01). …”
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A highly scalable deep learning language model for common risks prediction among psychiatric inpatients by Enzhao Zhu, Jiayi Wang, Guoquan Zhou, Chunbo Li, Fazhan Chen, Kang Ju, Liangliang Chen, Yichao Yin, Yi Chen, Yanping Zhang, Xu Zhang, Xinlin Zhou, Zongyuan Wang, Jianping Qiu, Hui Wang, Weizhong Shi, Feng Wang, Dong Wang, Zhihao Chen, Jiaojiao Hou, Hui Li, Zisheng Ai

“…Analysis was carried out between August 2024 and June 2024. Models with different architectures and input settings were compared with each other. …”
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Investigating the molecular mechanisms and clinical potential of APO+ endothelial cells associated with PANoptosis in the tumor microenvironment of hepatocellular carcinoma using s... by Zhaorui Cheng, Xiangyu Yang, Yi Ren, Huimin Wang, Qi Zhang, Sailing Lin, Wenhao Wu, Xiaolu Yang, Jiahan Zheng, Xinzhu Liu, Xin Tao, Xiaoyong Chen, Yuxin Qian, Xiushen Li

“…Finally, a CCK8 assay was conducted to evaluate the effect of APOH+ HUVECs on HCC cell proliferation. …”
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Energy Management of a 1 MW Photovoltaic Power-to-Electricity and Power-to-Gas for Green Hydrogen Storage Station by Dalila Hidouri, Ines Ben Omrane, Kassmi Khalil, Adnen Cherif

“…The proposed system architecture is governed by an innovative energy optimization and management (EMS) algorithm, allowing forecasting, control, and supervision of various PV–hydrogen–Grid transfer scenarios. …”
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A Robotic Prosthetic Hand for Computer Mouse Operations by Ziming Chen, Yiming He, Boao Li, Huasong Min, Fuchun Sun, Shuguang Li, Bin Fang

“…In addition, a mapping between the hand movements (myoelectric signals) and the computer mouse operations is created by combining a neural network classifier and a post‐processing algorithm. Herein, the proposed system's performance is evaluated through a series of cursor control tasks involving both the able‐bodied and amputee participants. …”
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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…An integrative machine learning program, comprising 111 algorithms, was developed to construct a Scissor+ proliferating cell risk score (SPRS). …”
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Distributed energy storage configuration considering the vulnerability of active distribution network by ZHU Peixue, GUO Qian, LI Lingzhi, ZHENG Di, CAI Hui

“…Based on the constant power charge and discharge strategy of energy storage, the optimal charge and discharge strategy is formulated for different capacities to realize the optimization of energy storage charge and discharge. …”
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Advanced Monitoring and Real-Time State of Temperature Prediction in Lithium-Ion Cells Under Abusive Discharge Conditions Using Data-Driven Modelling by Sandeep Rawat, Devender Kumar Saini, Sushabhan Choudhury, Monika Yadav

“…Linear regression and R² analyses are employed to assess the relationship and variance over different discharge–charge cycles of varied duration between the complete life cycle and its temperature variance. …”
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Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification by Kien Trang, Fung Fung Ting, Bao Quoc Vuong, Chee-Ming Ting

“…Overall, the proposed framework yielded impressive findings on two distinct datasets, Breast Ultrasound Images Dataset (BUSI) and Breast Ultrasound Image dataset from Brazil (BUSBRA). Different numbers of connections between nodes are evaluated to indicate the importance of hidden insight interconnections in the medical imaging domain. …”
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Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine, Elhadi Baghaz, Sanjeevikumar Padmanaban

“…In the end, to evaluate the algorithm’s effectiveness, statistical measurements such as Individual Absolute Error (IAE), Relative Error (RE), Mean Absolute Error (MAE), SD, TS, NFM, ACF, and RMSE are calculated to ensure the correctness of the generated parameters. …”
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Brain-Shapelet: A Framework for Capturing Instantaneous Abnormalities in Brain Activity for Autism Spectrum Disorder Diagnosis by Yijie Ren, Zhengwang Xia, Yudong Zhang, Zhuqing Jiao

“…It applies random walk algorithm on group-representative brain network to obtain brain region sets, and aggregates their blood oxygen level-dependent (BOLD) signals to extract Shapelets that reflect the associations between different brain regions at the same time point. …”
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Application and feasibility analysis of knowledge-based machine learning in predicting fatigue performance of stainless steel by Jia Wang, Dongkui Fan, C.S. Cai

“…To better predict the fatigue-related S-N curves of different series of stainless steels, 570 sets of data including fatigue test results and other performance parameters for five common types of stainless steel materials were initially collected. …”
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Design and Assessment of an Austenitic Stainless Alloy for Laser Powder Bed Additive Manufacturing by Mariam Assi, Julien Favre, Marcin Brykala, Franck Tancret, Anna Fraczkiewicz

“…The microstructure and mechanical properties of the alloys are evaluated and its printability is compared with a commercial 316L stainless steel taken as a reference. …”
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Optimizing energy cost in the residential sector through home energy management systems in a smart grid environment by Nabeeha Qayyum, Umar Jamil, Anzar Mahmood

“…This research aims to optimize power usage by reducing peak loads and electricity costs through the integration of RESs, such as solar or photovoltaic (PV) systems, while considering grid limitations, PV capacity, appliance ON/OFF schedules, and time-of-use tariffs. A genetic algorithm (GA) based optimization technique was employed to evaluate the performance of a HEMS and validated with particle swarm optimization (PSO) technique under identical initial conditions for each appliance and their corresponding energy pricing over different periods. …”
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