Three-Dimensional Shape Reconstruction from Digital Freehand Design Sketching Based on Deep Learning Techniques by Ding Zhou, Guohua Wei, Xiaojun Yuan

“…Taking eyeglass frames as an example, the 2D contour and freehand sketch optimize the alignment by their geometrical similarity while exploiting symmetry to improve reconstruction accuracy. …”
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EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm by Younkyung Jwa, Chang Wook Ahn, Man-Je Kim

“…Our experimental results demonstrate that EGNAS outperforms state-of-the-art methods in node classification tasks on the Cora, Citeseer, and PubMed datasets while maintaining a high degree of computational efficiency. …”
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KERF: a knowledge-enhanced relearning framework for tailings pond detection from high-resolution remote sensing images by Bingjie Liu, Wei Wu, Hao Wu, Ailong Ma, Shaohua Hu, Nianchun Du, Xuan Cui, Junyang Xie

“…However, the current methods are limited with respect to precise and automatic recognition of tailings ponds with accurate location information, and in the resistance of background distractions from remote sensing images. …”
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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

“…<b>Objectives</b>: The aim of this study is to evaluate and enhance the predictive capabilities of machine learning models for SSIs by assessing the effects of feature selection, resampling techniques, and hyperparameter optimization. <b>Methods</b>: Using routine SSI surveillance data from multiple hospitals in Saudi Arabia, we analyzed a dataset of 64,793 surgical patients, of whom 1632 developed SSI. …”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…A precipitation phase discrimination model was constructed based on the wet-bulb temperature threshold method, and the Budyko equation was improved by introducing the snowfall ratio. …”
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Runoff Evolution Patterns and Attribution Analysis in Xiliu Songhua River Basin by YAN Yuliang, DING Hong, ZHANG Jiayue, GAO Yu

“…A precipitation phase discrimination model was constructed based on the wet-bulb temperature threshold method, and the Budyko equation was improved by introducing the snowfall ratio. …”
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DyGS-SLAM: Realistic Map Reconstruction in Dynamic Scenes Based on Double-Constrained Visual SLAM by Fan Zhu, Yifan Zhao, Ziyu Chen, Chunmao Jiang, Hui Zhu, Xiaoxi Hu

“…The fusion of Gaussian radiance fields and Visual SLAM has demonstrated astonishing efficacy in constructing high-quality dense maps. While existing methods perform well in static scenes, they are prone to the influence of dynamic objects in real-world dynamic environments, thus making robust tracking and mapping challenging. …”
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Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation by Liang Liu, Xige Zhang, Jiahui Zhou, Kai Niu, Zixuan Guo, Yawen Zhao, Meng Zhang

“…Additionally, by analyzing the relationship between performance and reliability, we proposed optimization methods to improve reliability while ensuring a high performance was maintained. …”
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Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks by Koki Chinzei, Shinichiro Yamano, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

“…Numerical experiments show that the SLPA drastically reduces the sample complexity needed for training while maintaining accuracy and trainability compared to well-designed circuits based on the parameter-shift method.…”
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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…The proposed method follows a generic representation of resource integration across different processing and storage options while considering power price dynamics, power-related emissions (scope 2), and renewable energy availability. …”
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Soft graph clustering for single-cell RNA sequencing data by Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou

“…The scSGC framework comprises three core components: (i) a zero-inflated negative binomial (ZINB)-based feature autoencoder designed to effectively handle the sparsity and dropout issues in scRNA-seq data; (ii) a dual-channel cut-informed soft graph embedding module, constructed through deep graph-cut information, capturing continuous similarities between cells while preserving the intrinsic data structures of scRNA-seq; and (iii) an optimal transport-based clustering optimization module, achieving optimal delineation of cell populations while maintaining high biological relevance. …”
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A Novel Approach to Parametric Studies in Nuclear Medicine by Pierce Ellingson, Jackson Penning, Zuzan Cayci, Farhad Jafari

“…The least square error (LSE) and relative LSE in the reconstructed parameters are shown to be better than 1 × 10 − 4 . While studies based on optimization methods have been described previously, this paper achieves the rate constants accurately and robustly using analytical methods, thus improving on the clinical applicability of these methods.…”
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View-Aware Contrastive Learning for Incomplete Tabular Data with Low-Label Regimes by Yingqiu Yang, Qianye Lin, Zeyue Li, Yakui Wang, Siyu Liang, Siyuan Zhang, Yiyan Wang, Chunli Lv

“…Robust modeling of high-dimensional sparse tabular data is achieved through integration of a view-disentangled encoder, intra- and cross-view contrastive mechanisms, and a joint loss optimization module. The proposed method incorporates feature clustering-based view partitioning, multi-view consistency alignment, and masked reconstruction mechanisms, thereby enhancing the model’s representational capacity and generalization performance under weak supervision. …”
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Leveraging Deep Learning and Rolling Simulation for Adaptive Reservoir Operation Under Uncertainty by Zheng Jiang, Guanjun Liu, Hui Qin, Lei Wang, Yongsheng Jie, Chenghong Li

“…Existing reservoir operation rules derived from implicit stochastic optimization methods often fail to account for the cumulative impact of decision errors on the reservoir, rendering them less effective in actual reservoir operation. …”
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Inter-Object Navigation of Unmanned Aerial Vehicles to Increase the Efficiency and Accuracy of Inspection of Power Lines by Tymochko O., Fustii V., Kolesnyk G., Olizarenko S., Kalashnyk G., Kulish R., Tymoschuk O., Galinskji D.

“…Solving the problem of multi-criteria optimization of the drone team flight route planning made it possible to reduce the cost of monitoring critical infrastructure facilities while improving its efficiency and accuracy. …”
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Diagnostic performance of a multi-shell DTI protocol and its subsets with B-matrix spatial distribution correction in differentiating early multiple sclerosis patients from healthy... by Artur Tadeusz Krzyzak, Artur Tadeusz Krzyzak, Julia Lasek, Julia Lasek, Agnieszka Slowik

“…Additionally, we employed a more detailed classification strategy based on segmentation into 95 regions of interest (ROIs), analyzing FA, MD, axial diffusivity (AD), and radial diffusivity (RD) under a stringent statistical criterion.ResultsWhile the protocol and each subset showed a comparable ability to differentiate between HC and MS groups, substantial variability in metric values across protocols highlights the limited utility of directly comparing DTI metrics between acquisition schemes.DiscussionThe results emphasize the importance of accounting for spatial systematic errors when selecting optimal protocols for clinical and research applications.…”
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AI-guided framework for the design of materials and devices for magnetic-tunnel-junction-based true random number generators by Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma G. Cardwell, Catherine D. Schuman

“…Our artificial-intelligence-guided codesign methods generated different candidate devices capable of generating stochastic samples for a desired probability distribution, while also minimizing energy usage for the devices. …”
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Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review by Vladimir Bukhtoyarov, Vadim Tynchenko, Kirill Bashmur, Oleg Kolenchukov, Vladislav Kukartsev, Ivan Malashin

“…Biomass gasification and pyrolysis are two prominent thermochemical conversion processes for biofuel production. While these processes are effective, they are often influenced by complex, nonlinear, and uncertain factors, making optimization and prediction challenging. …”
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Land use changes and their effects on poverty in Inner Mongolia, northern China by Zhen Wu, Xianjin Huang, Xue Liu, Michael E. Meadows, Ruishan Chen, Long Li

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Construction and Analysis of Social Structure Model of Public Space in Fuzhou Cangxia Community from Dual Network Perspective by Wei Wang, Mingkang Cao, Zhigang Wu, Xinchen Hong

“…However, mismatched spatial nodes also exist, limiting the synergistic optimization of the dual-network model. This research aims to provide scientifically effective methods and paradigms for the renewal of old communities and the sustainable development of cities.…”
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