Dual-verified secure localization method for unmanned intelligent vehicles by GU Xiaodan, XIA Guozheng, SONG Bingchen, YANG Ming, LUO Junzhou

“…The existing Wi-Fi network infrastructure was utilized by the vehicles for fingerprinting localization and a feature fusion strategy was designed to realize the dynamic fusion of Wi-Fi and magnetic field fingerprints. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…The existing face detection methods usually had the problem of low accuracy of face recognition in the environment of occlusion interference, which was limited when applied to the face detection task in complex scenes. …”
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FOOD WASTE MANAGEMENT USING STATISTICAL ANALYSIS TO OBTAIN NEW FUNCTIONAL PRODUCTS by Gjore NAKOV, Zlatin ZLATEV, Nastia IVANOVA, Ivan DIMOV

“…A problem in food industry is the various types of waste that are produced during and after food preparation. …”
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Multiple Moving Targets Detection and Parameters Estimation in Strong Reverberation Environments by Ge Yu, Shengchun Piao

“…This paper considers the problem of multiple moving targets detection and parameters estimation (direction of arrival and range) in strong reverberation environments. …”
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An emotional classification method of Chinese short comment text based on ELECTRA by Shunxiang Zhang, Hongbin Yu, Guangli Zhu

“…In response to such problem, the text proposes a new method based on ELECTRA and hybrid neural network. …”
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Intelligent Assessment of Personal Credit Risk Based on Machine Learning by Chuansheng Wang, Hang Yu

“…Firstly, based on the forest optimization feature selection algorithm, combined with initialization based on chi-square check, adaptive global seeding, and greedy search strategies, key risk factors are accurately identified from high-dimensional data. …”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…Firstly, the real-time and efficient target detection backbone network VoVNet is used to replace the feature extraction network VGG16. The residual structure is integrated to solve the problem of VoVNet network degradation to improve network performance. …”
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The Idea of «Concept» in the Studies of Culture by T. D. Tatarskaya

“…It is an attempt to reveal the features of these approaches to the problem of understanding and studying of "concept". …”
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Female alcoholism: Gender differences as victimogenic predispositions by Konstantinović-Vilić Slobodanka, Žunić Natalija

“…In the contemporary society, female alcoholism is turning into a growing social and health problem and because of that it is essential to make the social environment more sensitive to the issue of female alcoholism in order to eliminate the causes of female alcoholism and fully support women’s medical treatment,. …”
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An Implicit Identity Authentication System Considering Changes of Gesture Based on Keystroke Behaviors by Jiyun Wu, Zhide Chen

“…This system collects five keystroke features in the background and analyzes to identify different users without additional hardware supporting. …”
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Deep Learning for Decision Element Extraction in Fact Description of Legal Documents by Xia Li

“…In order to improve the work efficiency of judicial personnel and solve the problem of waste of judicial resources, this topic proposes a method of decision element extraction in the fact description of legal documents based on in-depth learning. …”
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Application of federated learning in predicting breast cancer by Chai Jiarui

“…Although federated learning effectively solves the privacy protection problem, the issues of data heterogeneity and model interpretability still need to be addressed. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
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Illumination Invariant Face Recognition using SQI and Weighted LBP Histogram by Mohsen Biglari, Faezeh Mirzaei, Hossein Ebrahimpour-Komleh

“…Face recognition under uneven illumination is still an open problem. One of the main challenges in real-world face recognition systems is illumination variation. …”
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Tracking algorithm of Siamese network based on online target classification and adaptive template update by Zhiwang CHEN, Zhongxin ZHANG, Juan SONG, Haipeng LEI, Yong PENG

“…Aiming at the problem that tracking algorithm of Siamese network learned the embedded features of the tracked target and the object in the offline training stage, and these embedded features often lacked the target-specific context information, which made these tracking algorithms less robust, a tracking algorithm of the Siamese network based on online target classification and adaptive template update was proposed, which used SiamRPN++ as the baseline algorithm.Firstly, a cross-correlation feature map supervision module for classification was designed in the offline training phase to learn more discriminative embedded features.Secondly, an online target classification module that included an attention mechanism in the online tracking phase was designed, and the online update filter strategy in the module was used to filter out the background noise.Finally, an adaptive template update module was designed to update the target template information using the UpdateNet.The results of experiments on VOT2018 and VOT2019 datasets verify the effectiveness of the proposed algorithm, which brings 13.5% and 18.2% (EAO) improvement respectively compared with the baseline algorithm SiamRPN++.…”
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Lexical and grammatical means of communication between text components by Gunel Eyvazli

“…The structural and semantic features of sentences that make up a complex syntactic whole are especially highlighted. …”
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Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Firstly, the bearing fault sample data was preprocessed by fast Fourier transform and the features of bearing faults samples were extracted using convolutional neural network. …”
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The voiceless generation by Vanessa Malila

“… Nyamnjoh (2005:1) argues that “… the media … can, in principle, facilitate popular empowerment as a societal project”. The problem is that the news media do not seem to be doing this for young people in South Africa. …”
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Research on Automatic Classification Method of Ethnic Music Emotion Based on Machine Learning by Zijin Wu

“…The improved network can avoid the overfitting problem and speed up the training of the network. …”
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Proteomic selection of immunodiagnostic antigens for Trypanosoma congolense. by Jennifer R Fleming, Lalitha Sastry, Thomas W M Crozier, Grant B Napier, Lauren Sullivan, Michael A J Ferguson

“…Animal African Trypanosomosis (AAT) presents a severe problem for agricultural development in sub-Saharan Africa. …”
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