Reflection on High-Quality Development of Smart Health Data by Weixuan Wang, Shaomei Shang, Zhiwen Wang, Luxia Zhang, Lin Ma, Na Li, Junhui Wu, Xu Zhang, Lan Li, Qimin Zhan

“…The smart geriatric care service based on health data has become an effective means to solve the geriatric care problem in China. This study presents the concept and development status of smart geriatric care and analyzes the promotion effect of smart geriatric care data on the development of geriatric care services in China. …”
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Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention by Jia Wu, Jinzhao Lin, Xiaoming Jiang, Wei Zheng, Lisha Zhong, Yu Pang, Hongying Meng, Zhangyong Li

“…Abstract Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient projection data leads to degraded image quality with increased noise and artifacts. …”
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Hydroelectric Unit Fault Diagnosis Based on Modified Fractional Hierarchical Fluctuation Dispersion Entropy and AdaBoost-SCN by Xing Xiong, Zhexi Xu, Rende Lu, Yisheng Li, Bingyan Li, Fengjiao Wu, Bin Wang

“…Finally, the features extracted via MFHFDE are fed into the classifier to accomplish pattern recognition. …”
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Machine learning-based process quality control of screen-printed titanium dioxide electrodes by Anesu Nyabadza, Lola Azoulay-Younes, Mercedes Vazquez, Dermot Brabazon

“…Models were optimized and accelerated through feature engineering and extraction techniques, allowing them to be trained in under 1 min. …”
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Adaptive Token Mixer for Hyperspectral Image Classification by Shuhan Lei, Meng Zhang, Yuhang Wang, Nan Tang, Ni Jia, Lihua Fu

“…However, most token selection rules overlook image patch content, often introducing task-irrelevant tokens with little valuable class distribution information. This problem is particularly severe in HSIs, which contain rich spatial and spectral information. …”
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Residual Energy and Broken Symmetry in Reduced Magnetohydrodynamics by S. Dorfman, M. Abler, S. Boldyrev, C. H. K. Chen, S. Greess

“…Alfvénic interactions that transfer energy from large to small spatial scales lie at the heart of magnetohydrodynamic turbulence. An important feature of the turbulence is the generation of negative residual energy—excess energy in magnetic fluctuations compared to velocity fluctuations. …”
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Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning by Christopher Kormpos, Fotios Zantalis, Stylianos Katsoulis, Grigorios Koulouras

“…Prior studies have predominantly focused on image classification, segmentation, and feature extraction, often assuming that the input images, whether sourced from healthcare professionals or individuals, are valid and relevant for analysis. …”
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DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…These models treat STF as an image super-resolution problem based on multiple reference images. However, compared to traditional image super-resolution tasks, remote sensing image STF involves merging a larger amount of multitemporal data with greater resolution difference. …”
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Research on Fault Detection Technology for Circuit Breaker Operating Mechanism Combinations Based on Deep Residual Networks by Hongping Shao, Yizhe Jiang, Jianeng Zhao, Xueteng Li, Mingzhan Zhang, Mingkun Yang, Xinyu Wang, Hao Yang

“…These spectrograms are then processed using the ResNet50 deep residual neural network for feature extraction and fault classification. The results demonstrate that, when addressing the diagnostic problem of small-sample data for operating mechanism faults, ResNet50, with its residual structure design, exhibits significant advantages. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

“…Artificial intelligence is transforming the detection of diabetic retinopathy, moving away from traditional machine learning models that rely on manually created features to deep learning methods that allow for automatic feature extraction from retinal images. …”
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Experimental and Reduced-Order Modeling Research of Thermal Runaway Propagation in 100 Ah Lithium Iron Phosphate Battery Module by Han Li, Chengshan Xu, Yan Wang, Xilong Zhang, Yongliang Zhang, Mengqi Zhang, Peiben Wang, Huifa Shi, Languang Lu, Xuning Feng

“…The results show that the ROM achieves good accuracy with critical feature errors within 10%. Compared to the FEM, the simulation duration is reduced by 40%. …”
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Rapid and accurate classification of mung bean seeds based on HPMobileNet by Shaozhong Song, Shaozhong Song, Shaozhong Song, Zhenyang Chen, Helong Yu, Helong Yu, Mingxuan Xue, Mingxuan Xue, Junling Liu

“…Mung bean seeds are very important in agricultural production and food processing, but due to their variety and similar appearance, traditional classification methods are challenging, to address this problem this study proposes a deep learning-based approach. …”
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Fault diagnosis method for rigid guides in vertical shaft hoisting systems by WANG Jianfeng, JIN Yuanzhi, ZHANG Yong, WANG Yongzhen, HE Jiacong

“…At present, vibration detection methods are mostly used for rigid guide fault diagnosis, but the diagnostic accuracy is easily affected by operating conditions such as cage load and running speed. To address this problem, eddy current sensors are used to collect fault signals of the rigid guides, ensuring that the signal features are not affected by the cage's operating environment. …”
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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…Effective Android malware detection is a complex problem because of the rapidly-evolving, complicated, and diverse nature of malware. …”
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OS-PSO: A Modified Ratio of Exponentially Weighted Averages-Based Optical and SAR Image Registration by Hui Zhang, Yu Song, Jingfang Hu, Yansheng Li, Yang Li, Guowei Gao

“…Immediately after that, the gradient location orientation histogram (GLOH) method is adopted to construct the feature descriptors. Finally, we propose an enhanced matching method. …”
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Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

“…In order to solve the problem that existing synchronous localization and map construction techniques are not accurate enough in this kind of environment, a loopback detection algorithm based on neighborhood search and scanning context fusion is proposed. …”
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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslav Yevsieiev, Ahmed Solyman

“…A structure of information interaction between hardware modules is proposed, and a connection scheme is developed, on the basis of which a model of a computer vision system is assembled for research, with the required algorithmic and software for solving the problem. To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. …”
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Based on the Improved EDCSTFN Model, Modis, Landsat 8, and Sentinel-2 Data Were Fused to Obtain 10 m Dense Time Series Images by Jie Chang, Wen Du, Bo Zhang, Sien Guo, Ying Yin, Zhuo Wang, Tongyu Xu, Ziyi Feng

“…In this paper, time series image data with 10 m resolution are generated by spatio-temporal fusion of Modis, Landsat and Sentinel data, which reduces the temporal resolution to 1-2 days, while the existing EDCSTFN model is improved in order to overcome the problem of difficulty in global information extraction due to convolution limitation. …”
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China’s Spatial Economic Network and Its Influencing Factors by Guihai Yu, Deyan He, Wenlong Lin, Qiuhua Wu, Jianxiong Xiao, Xiaofang Lei, Zhongqun Xie, Renjie Wu

“…Based on the modified gravity model, we construct China’s spatial economic network and explore the network structure from three aspects: the whole network structure feature, characteristics of individual provinces in the network, and block model analysis. …”
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Operational Forecasting of Wind Speed for an Self-Contained Power Assembly of a Traction Substation by P. V. Matrenin, A. I. Khalyasmaa, A. G. Rusina, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski

“…The article presents the results of solving the problem of operational forecasting of wind speed for a hybrid power assembly project aimed at increasing the capacity of the railway section between Yaya and Izhmorskaya stations (Kemerovo region of the Russian Federation). …”
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