Onco-mNGS facilitates rapid and precise identification of the etiology of fever of unknown origin: a single-centre prospective study in North China by Bingbing Liu, Tengfei Yu, Ruotong Ren, Na Wu, Nanshu Xing, Jingya Wang, Wenjie Wu, Xuefang Cao, Jingping Zhang

“…Results Infection-related pathogenic detection efficiency rose from 25% (control group) to 48.48% (experimental group). …”
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A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management by Dong Yan, Ming Lei, Yingying Shi

“…By achieving high accuracy and scalability, our method enables timely and reliable extraction of critical information from agronomic reports and policy documents-supporting applications such as precision irrigation planning, early detection of crop diseases, and efficient allocation of water resources in data-scarce regions.…”
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Decoupled Classifier Knowledge Distillation. by Hairui Wang, Mengjie Dong, Guifu Zhu, Ya Li

“…Compared to using a single method, DCKD achieves superior results on both the CIFAR-100 and ImageNet datasets for image classification and object detection tasks, without reducing training efficiency. …”
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Evaluating DL Model Scaling Trade-Offs During Inference via an Empirical Benchmark Analysis by Demetris Trihinas, Panagiotis Michael, Moysis Symeonides

“…With generative Artificial Intelligence (AI) capturing public attention, the appetite of the technology sector for larger and more complex Deep Learning (DL) models is continuously growing. …”
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Indoor Multidimensional Reconstruction Based on Maximal Cliques by Yongtong Zhu, Lei Li, Na Liu, Qingdu Li, Ye Yuan

“…Three-dimensional reconstruction is an essential skill for robots to achieve complex operation tasks, including moving and grasping. …”
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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…Experimental results demonstrate that the proposed MS-RRT* achieves a 100% exploration success rate in narrow channels, outperforming state-of-the-art methods in both efficiency and robustness. The improved SOLOv2 also surpasses Mask R-CNN in multi-category component recognition, ensuring reliable inspection in complex scenarios. …”
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Combining a COI Mini-Barcode with Next-Generation Sequencing for Animal Origin Ingredients Identification in Processed Meat Product by Yanyi Pan, Deyi Qiu, Jian Chen, Qiaoyun Yue

“…For revealing animal species in complex or adulterated processed meat product, we presented a method combining a novel cytochrome oxidase I (COI) mini-barcode with next-generation sequencing (NGS), which identifies various animal species (swine, bovine, Caprinae, and some of fish, shrimp, and poultry) accurately and efficiently in processed meat products. …”
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Clinical features of removing phakic intraocular lenses in cataract at high myopia by M. E. Konovalov, E. M. Molokotin

“…Before complex surgical intervention (FIOL + phacoemulsification) were carried out standard ophthalmo- logic examination, and also automatic detection of density of endothelial cells.Results: the developed technique of removal of FIOL included subconjunctival anesthesia, formation of a corneal tunnel, filling of the anterior chamber viscoelastic, FIOL mobilization, removal of the bottom haptic element in the anterior chamber, removal of the top haptic element in the of anterior chamber, FIOL removal. …”
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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…The proposed study aims to enhance the reliability and efficiency of MANETs in attack situations when minimizing overhead from malicious traffic management. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…As the accuracy of the algorithm increases, its complexity also rises, resulting in a decrease in detection speed, which undermines its practicality. …”
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Novel Multi-Scale Attention Generative Adversarial Network for Photovoltaic Solar Cell Defect Inspection Using Electroluminescence Images by Yuanjun Guan, Yang Liu, Jiayi Wang, Tao Wang, Qianchuan Yi, Wenxin Jiang, Xiaopu Gu, Yichen Zhang, Li Zhang, Tianyan Han, Binbing Huang, Lilei Hu

“…This paper presents a novel Multi-Scale Attention Generative Adversarial Network (MAGAN), an innovative GAN-based framework specifically designed for data augmentation in the context of solar cell defect detection. When integrated with automated detection techniques, MAGAN markedly improves the accuracy and efficiency of current models. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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Solar Photovoltaic Diagnostic System with Logic Verification and Integrated Circuit Design for Fabrication by Abhitej Divi, Shuza Binzaid

“…A custom memory block with a reset switch was also implemented to store the fault value detected at the SP. Finally, the proposed ASIC was implemented for fabrication, which is highly cost-effective in mass production and does not require complex computational stages.…”
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Apple leaf disease severity grading based on deep learning and the DRL-Watershed algorithm by Zhifang Bi, Fumin Ma, Jiaxiong Guan, Jie Wu, Juxia Li, Fuzhong Li, Yanwen Li, Zhanli Liu

“…Existing methods for disease detection and severity classification struggle to quickly and accurately segment and quantify diseased areas on leaves, particularly in complex backgrounds. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. In conclusion, by integrating real-time data collection from cameras with the predictive advantages of machine learning models, this algorithm offers a more efficient and sustainable solution for urban traffic management.…”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Abstract The Bel Canto performance is a complex and multidimensional art form encompassing pitch, timbre, technique, and affective expression. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…  (2) AI has become increasingly important in various fields due to its potential to automate complex processes, enhance efficiency, and drive innovation. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…Advancements in constitutive modelling are vital for improved accuracy, along with enhanced contact detection algorithms for complex geometries and large deformations. …”
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Location Research and Picking Experiment of an Apple-Picking Robot Based on Improved Mask R-CNN and Binocular Vision by Tianzhong Fang, Wei Chen, Lu Han

“…As their “perceptual core,” machine vision systems directly determine picking success rates and operational efficiency. However, existing vision systems still exhibit significant shortcomings in target detection and positioning accuracy in complex orchard environments (e.g., uneven illumination, foliage occlusion, and fruit overlap), which hinders practical applications. …”
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Rapid Analysis of Heavy Metal Element Adsorption by SCG Based on LIBS Technology by Xie Hairui, You Libing, Fang Xiaodong, Li Leyi, Ding Haokai, Zhou Zhengqi, Zhang Guanyang, Zhang Dongjian

“…Rapid evaluation and real-time detection of adsorption materials are particularly critical in the adsorption treatment of heavy metal wastewater. …”
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