Research on Vehicle Target Detection Method Based on Improved YOLOv8 by Mengchen Zhang, Zhenyou Zhang

“…This method improves the feature extraction aggregation network by introducing an Adaptive Downsampling module, which can dynamically adjust the downsampling method, thereby increasing the model’s attention to key features, especially for small objects and occluded objects, while maintaining a lightweight structure, effectively reducing the model complexity while improving detection accuracy. …”
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Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics by Lei Lei, She Kun

“…This model firstly uses the WCC to transform the speech into spectral feature vecors and then uses those spectral feature vectors to train the i-vectors that represent the speeches having different durations. …”
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Robust sparse smooth principal component analysis for face reconstruction and recognition. by Jing Wang, Xiao Xie, Li Zhang, Jian Li, Hao Cai, Yan Feng

“…The proposed RSSPCA achieves three key objectives simultaneously: robustness through L1-norm optimization, sparsity for feature selection, and smoothness for preserving spatial relationships. …”
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Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

“…Nevertheless, those variants of DE do not obtain the promising performance in solving black box problems with unknown features, which is mainly because the adaptive rules of those variants are designed according to their designers’ cognition on the problem features. …”
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基于时间序列幅值分量标度特性的齿轮箱故障诊断 by 林近山, 窦春红, 伦冠德, 刘炳强

“…Gearboxes are complex dynamical systems and vibration data from defective gearboxes are typically characterized by nonstationarity and nonlinearity.Consequently,it is difficult to extract fault features from these nonstationary and nonlinear data.Detrended Fluctuation Analysis（DFA）can be employed to analyze nonstationary and nonlinear data and the scaling-law curve obtained by DFA can be used to display the dynamical behavior of complex systems.However,scaling-law curves of original data from fault gearboxes usually assume complex shapes.As a result,it is a difficult problem to extract feature parameters from these complex scaling-law curves.To resolve the problem,the scaling property of increment series from fault gearboxes is studied and that the amplitude component of the increment series mainly conveys the nonlinear information is proved.Next,a novel method for fault diagnosis of gearboxes based on scaling features of amplitude components of time series is proposed.The proposed method consists of four parts.Firstly,the increment series of original series is derived.Next,the amplitude component of the increment series is determined.Thirdly,the DFA algorithm is utilized to acquire the scaling-law curve of the amplitude component.Finally,the fluctuation parameters for the starting and the crossover points of the scaling-law curve are extracted and used as feature parameters to describe the conditions of a gearbox.Subsequently,the effectiveness of the proposed method is checked using gearbox fault data.The results show that the proposed method is robust to noise,delivers a good performance and outperforms the diagnostic methods using the temporal parameters in fault diagnosis of gearbox.…”
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Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors by Yu Zhang, Edmond C. Prakash

“…We demonstrate the utility of our method by presenting several applications, including analysis of facial features of subjects in different race groups, facial feature transfer, and adapting face models to a particular population group.…”
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A Research on Agricultural Products Storage Warehouses in Van Province by Ünal Şirin, Sedat Karaman, Büşra Kabay

“…The findings obtained as a result of the surveys made with their owners by considering the features of the cold storages such as the structural and mechanization status, the type of stored product have been effective in identifying problems and suggesting solutions. …”
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The study of promising secure information systems based on signal modeling by V. A. Sizov, D. M. Malinichev, Kh. K. Kuchmezov

“…The transition to the fifth-generation network does not solve the existing problems of information security and leads to the emergence of new threats. …”
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Large Language Model-Assisted Deep Reinforcement Learning from Human Feedback for Job Shop Scheduling by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…Deep reinforcement learning has shown great potential in solving this problem. However, it still has challenges in reward function design and state feature representation, which makes it suffer from slow policy convergence and low learning efficiency in complex production environments. …”
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Rapid acquisition and surface defects recognition based on panoramic image of small-section hydraulic tunnel by Haoyu Wang, Jichen Xie, Jinyang Fu, Cong Zhang, Dingping Chen, Zhiheng Zhu, Xuesen Zhang

“…The presented method in this paper effectively solves the problem that a single image fails to show the overall distribution of the defects and their accurate positioning in a whole large tunnel section and the effective features of defects in an excessively large panoramic image size are difficult to be captured by the neural network. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…However, their efficiency is heavily dependent on effectively extracting the key features of the problem. The ability to quickly and comprehensively extract common features of multiradar scheduling problems is essential for improving the efficiency of such AI scheduling algorithms. …”
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Rock breaking law of TBM hob assisted by low pressure abrasive air jet grooving by Hongtu ZHANG, Yaopu YANG, Yong LIU, Jianping WEI, Zhiping LI

“…The application of full-face tunnel boring machine (TBM) in mine mining is gradually popularized. There are some problems in the construction of tunnels with hard surrounding rocks, such as difficulty in tunneling and serious tool loss. …”
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A Review of Research on SLAM Technology Based on the Fusion of LiDAR and Vision by Peng Chen, Xinyu Zhao, Lina Zeng, Luxinyu Liu, Shengjie Liu, Li Sun, Zaijin Li, Hao Chen, Guojun Liu, Zhongliang Qiao, Yi Qu, Dongxin Xu, Lianhe Li, Lin Li

“…However, its limitations in feature-scarce (low-texture, repetitive structure) environmental scenarios and dynamic environments have prompted researchers to investigate the use of combining LiDAR with other sensors, particularly the effective fusion with vision sensors. …”
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Detection and analysis of organic contaminants in potable water based on three-dimensional fluorescence spectroscopy by CHEN Fang, ZHANG Xiaoyan, HUANG Pingjie, HOU Dibo, ZHANG Guangxin, ZHAO Jiajia, HE Jiping

“…Support vector machine was applied to classify measured samples based on feature information of relative concentration value, which can distinguish normal water samples from the ones polluted by organics.Through the analysis of the experimental results, we could find that the method effectively detects the water samples contaminated by organics. …”
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TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

“…Then, a hybrid neural network is constructed by combining ANN and LSTM to capture nonlinear relationships and extract complex features, while the Transformer algorithm is introduced to capture global dependencies in high-dimensional feature space. …”
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TIESA IR TIKRUMAS WITTGENSTEINO FILOSOFIJOJE by Albinas Plėšnys

“…Truth is one of the major problems in Tractatus. The later Wittgenstein abandoned his ontological scheme and a related conception of exact truth. …”
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Research and development of quality traceability system based on intellectual technology for bee products by You Zhaotong, Kong Yaguang, Hu Xiaofei, Chen Tianjun

“…The exposure of bee products quality and safety problems, which reflects the quality and safety traceability system in the bee products is lack of a practical standard in China. …”
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TIESA IR TIKRUMAS WITTGENSTEINO FILOSOFIJOJE by Albinas Plėšnys

“…Truth is one of the major problems in Tractatus. The later Wittgenstein abandoned his ontological scheme and a related conception of exact truth. …”
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Relationship Between Landscape Character and Public Preferences in Urban Landscapes: A Case Study from the East–West Mountain Region in Wuhan, China by Xingyuan Li, Wenqing Pang, Lizhi Han, Yufan Yan, Xianjie Pan, Diechuan Yang

“…This study aims to address the problems of landscape character degradation and weakened public preferences caused by rapid urbanization and proposes a research framework integrating landscape character assessment and public preferences. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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