An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention by Qifeng Niu, Hui Wang, Feng Xu

“…This paper presents an efficient architecture built upon the Res2Net backbone, significantly enhanced by a dynamic Sparse Attention mechanism. …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…The choice of the k-value significantly impacts the model's performance, and traditional methods, such as random selection or selection based on empirical knowledge, often lead to suboptimal outcomes. …”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…To address the problems of traditional three-dimensional (3D) A* algorithm, such as low planning efficiency, numerous path inflection points, and increased path complexity when the target point is surrounded by obstacles, a 3D A* path-planning algorithm based on energy efficiency criteria is proposed in this study. …”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…Selective Laser Melting (SLM) is a transformative additive manufacturing technique that enables the production of complex metallic components with high precision. …”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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Marker-assisted selection in the development of advanced apple-tree forms and donors combining scab resistance with increased fruit storability by I. I. Suprun, E. A. Egorov, A. I. Nasonov, E. V. Lobodina, S. V. Tokmakov, I. V. Stepanov

“…They can also be used for breeding purposes as complex donors.…”
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Plasmodium falciparum merozoite surface protein 2 genetic polymorphism and multiplicity of infection in selected malarious areas of Northwest Ethiopia by Agenagnew Ashagre, Jimma Dinsa Deressa, Daniel Abebe Mekonnen, Melat Abdu, Tegegne Eshetu, Migbaru Keffale, Aberham Abere, Mulugeta Aemero Tegegne

“…Method A cross-sectional study was conducted to assess merozoite surface protein 2 polymorphisms in P. falciparum isolates from selected malarious areas in Northwest Ethiopia from April to June 2021. …”
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Poly(Vinyl Alcohol) Drug and PVA–Drug–Surfactant Complex Organogel with Dimethyl Sulfoxide as a Drug Delivery System by Sabina Otarbayeva, Dmitriy Berillo

“…The swelling behavior of the hydrogels was studied, showing a swelling coefficient between 16 and 32%, indicating their ability to absorb liquid relative to their weight. …”
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MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model by Yu Zhang, Xin Wang, Jingye Cai, Qun Yang

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Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images by Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian

“…The correlation-based feature selection and greedy step wise algorithms performed the best, with an OA of 93.97% and a Kappa coefficient (Kappa) of 0.9176, producing less mapping noise and higher classification accuracy for paddy rice. …”
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Study on Early Warning Methods for Shipping Input Risks Under Consideration of Public Health Events by Zhanxin Ma, Xiyu Zheng, Jiachao Wu, Dongping Pu

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Network security situation assessment based on dual attention mechanism and HHO-ResNeXt by Dongmei Zhao, Guoqing Ji, Shuiguang Zeng

“…The traditional convolutional neural network (CNN) has a limited receptive field and cannot accurately identify the importance of each channel, making it difficult to solve increasingly complex network security problems. To solve these problems, this paper combines ResNeXt with the Efficient Channel Attention (ECA) module and the Contextual Transformer (COT) block to construct a model to assess network conditions. …”
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Numerical Simulation of Frost Heave and Thaw Settlement Characteristics in a Complex Pipe–Soil System in the Seasonally Frozen Ground by Qinglin Li, Pengrui Feng, Rui Wang, Ni An, Ruiguang Bai, Guang Yang, Xinlin He, Ping Lin, Zixu Hu

“…The simulations were performed with the coefficient-type partial differential equation (PDE) module in COMSOL Multiphysics. …”
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Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics by ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou

“…Abstract The safe and efficient operation of smart Intelligent vehicles relies heavily on accurate trajectory prediction techniques. …”
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Investigation of Formation Fluid During the Development of Fields on the Kara Sea Shelf by E. I. Inyakina, E. E. Levitina, K. O. Ryabikova, V. V. Inyakin

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Profiling low-mRNA content cells in complex human tissues using BD Rhapsody single-cell analysis by Alexandra Scheiber, Manuel Trebo, Annabella Pittl, Isabel Heidegger, Theresa Hautz, Rupert Oberhuber, Zlatko Trajanoski, Florian Augustin, Sieghart Sopper, Dominik Wolf, Andreas Pircher, Stefan Salcher

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Synergistic mapping of urban tree canopy height using ICESat-2 data and GF-2 imagery by Xiaodi Xu, Ya Zhang, Peng Fu, Chaoya Dang, Bowen Cai, Qingwei Zhuang, Zhenfeng Shao, Deren Li, Qing Ding

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Study on diffusion patterns of multi-component systems in porous media of carbonate gas storage by ZHANG Ruihan, HU Bo, PENG Xian, ZHANG Fei, WANG Yongchao, ZHAO Yulong

“…Through comparative analysis of fitting results, the optimal mathematical model for gas diffusion coefficients applicable to multiscale carbonate reservoirs was selected. …”
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…However, the acquisition of expert knowledge faces problems such as excessively high labor costs, limited expert experience, and the inability to solve large-scale and highly complex DAGs. Moreover, the current data learning methods also face the problems of low computational efficiency or decreased accuracy when dealing with large-scale and highly complex DAGs. …”
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Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm by Dongchuan Wang, Fei Yang, Shijie Jia, Zhiheng Wang, Chunhua Dong, Mingwei Lang, Kai Ye, Haotian Liu, Tingrong Li

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