SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images by Bo Zhao, Panpan Tang, Xiaoyan Luo, Linze Li, Shi Bai

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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

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Deformation analysis by an improved similarity transformation by Vahid Mahboub

“…The third attainment of this contribution is proposing another algorithm for rigorous similarity transformation with arbitrary rotational angles. …”
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ASSESSMENT OF INFLUENCE OF RANGE FINDERS WITH THE IMPROVED CHARACTERISTICS ON THE ACCURACY OF GEOMETRICAL PARAMETERS CONTROL OF VEHICLES by A. M. Askhabov, E. S. Voevodin, V. A. Zeer, A. S. Kashura

“…The algorithm of calculation of spatial coordinates of the car points and errors of their definition has been created and used for the research. …”
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Machine Learning with Voting Committee for Frost Prediction by Vinícius Albuquerque de Almeida, Juliana Aparecida Anochi, José Roberto Rozante, Haroldo Fraga de Campos Velho

“…The machine learning model (using TensorFlow (TF)) was compared to the frost index (IG from the Portuguese: Índice de Geada) developed by the National Institute for Space Research (INPE, Brazil). …”
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…The proposed method dynamically adjusts to key operational parameters such as cell temperature, hydrogen partial pressure, and membrane water content, areas that have not been comprehensively addressed in previous research. In this paper, an MPSO algorithm-based MPPT tracking approach without a PID controller is proposed to achieve the maximum power point (MPP) of a PEMFC. …”
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Experimental verification of subthreshold laser therapy using conventional pattern scan laser. by Tomoyasu Shiraya, Satoshi Kato, Fumiyuki Araki, Takashi Ueta, Hitoshi Abe, Nobuharu Asai

“…<h4>Purpose</h4>Leading-edge therapeutic laser technologies are not available at every medical facility; therefore, alternative approaches incorporating novel advances in digital and laser technology into more readily available conventional methods have generated significant research interest. Using a rabbit model, this study investigated whether the algorithm used in the Endpoint Management (EM) software system of the latest devices could enable subthreshold laser treatment in conventional retinal tissue laser therapy systems.…”
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Short-Term Traffic Flow Prediction: A Method of Combined Deep Learnings by Chuanxiang Ren, Chunxu Chai, Changchang Yin, Haowei Ji, Xuezhen Cheng, Ge Gao, Heng Zhang

“…Then, the neuron number, loss function, optimization algorithm, and other parameters of the CDLP model are discussed and set through experiments. …”
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Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. by Katherine I Morley, Joshua Wallace, Spiros C Denaxas, Ross J Hunter, Riyaz S Patel, Pablo Perel, Anoop D Shah, Adam D Timmis, Richard J Schilling, Harry Hemingway

“…<h4>Background</h4>National electronic health records (EHR) are increasingly used for research but identifying disease cases is challenging due to differences in information captured between sources (e.g. primary and secondary care). …”
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Rill Erosion and Drainage Development in Post-Landslide Settings Using UAV–LiDAR Data by Xinyu Chen, Albertus Stephanus Louw, Ali P. Yunus, Saleh Alsulamy, Deha Agus Umarhadi, Md. Alamgir Hossen Bhuiyan, Ram Avtar

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Four-dimensional green transportation problem considering multiple objectives and product blending in Fermatean fuzzy environment by Monika Bisht, Ali Ebrahimnejad

“…The proposed algorithm’s performance is validated through comparisons with state-of-the-art multi-objective algorithms, ensuring credibility and demonstrating its effectiveness in solving complex optimization problems. …”
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Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping by Ahmed Ali, Ahmad Salah, Mahmoud Bekhit, Ahmed Fathalla

“…This huge volume of bike sharing data raises various challenges and opportunities. Many research studies have used bike sharing datasets to understand the geographical, social, financial, and behavioral aspects of bike user behaviors. …”
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MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba by Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue

“…Compared with the typical algorithm, it was improved by 1.1% on AP50. …”
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Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…To tackle the issue of uneven cluster load distribution during the integration process, the APSO algorithm is proposed to facilitate cluster load balancing. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…The proposed method has been validated based on a numerical continuous rigid frame bridge and an experimental steel truss bridge. Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
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Charging/discharging performance examination in a finned-tube heat storage tank: Based on artificial neural network, pareto optimization, and numerical simulation by Kourosh Vaferi, Sahar Nekahi, Sanam Nekahi, Hadi Ghaebi

“…The originality of this study lies in the combined use of ANN and genetic algorithm for multi-objective optimization, the inclusion of fin angle effects on convection, and the presentation of ready-to-use predictive models to accelerate future research and industrial design. …”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…Additionally, it incorporates a Spatially Weighted Cross-Entropy loss function tailored for EIEM, introducing constraints on different regions based on the importance of pixels to edge segmentation, while also mitigating class imbalance through weighted treatment of positive and negative samples.ResultsThe proposed method is validated on the 2018 Atrial Segmentation Challenge dataset. Compared with other state-of-the-art algorithms, the proposed algorithm demonstrated a significant improvement with an average symmetric surface distance of 0.684 mm and achieved a commendable Dice coefficient of 0.924, implicating the effectiveness of enhancing edge information.DiscussionThe method offers a practical framework for precise LA localization and segmentation, particularly strengthening the algorithm’s effectiveness in improving segmentation outcomes for irregular protrusions and discrete multiple targets. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions by Y. Bo, H. Liang, T. Li, F. Zhou, F. Zhou, F. Zhou

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Modelling and Optimisation of Hysteresis and Sensitivity of Multicomponent Flexible Sensing Materials by Kai Chen, Qiang Gao, Yijin Ouyang, Jianyong Lei, Shuge Li, Songxiying He, Guotian He

“…Furthermore, the sensing performance in this study shows a significant enhancement compared to prior research, with the hysteresis performance improved by 31% and sensitivity increased by 26%. …”
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Acoustic Emission and Digital Image Correlation-Based Study for Early Damage Identification in Sandwich Structures by Aitor García de la Yedra, Igor Erro, Javier Vivas, Oier Zubiri, Xabier Zurutuza, Ryan Sommerhuber, Matthias Kettner

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