Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Convolutional neural network (CNN) architectures were used to classify movement patterns. Results The performance of the three-sensor fusion (classification accuracy of 94.5%) is significantly higher than that of any single modality evaluated. …”
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A Novel Computer Virus Propagation Model under Security Classification by Qingyi Zhu, Chen Cen

“…In reality, some computers have specific security classification. For the sake of safety and cost, the security level of computers will be upgraded with increasing of threats in networks. …”
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Unsupervised Classification of Global Temperature Profiles Based on Gaussian Mixture Models by Xiaotian Ye, Weifeng Zhou

“…A Gaussian Mixture Model (GMM) determined that 18 classifications were optimal by evaluating the variance and category weights. …”
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Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems by Halbast Rashid Ismael, Adnan Mohsin Abdulazeez, Dathar A. Hasan

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Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques by Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, Kofi Agyekum Boateng, Kelvin Sarfo‐Acheampong, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah, Dorothy Araba Yakoba Agyapong, Jerry John Kponyo

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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…Texture analysis and classification are crucial in many applications such as medical applications, satellite imagery analysis, and so on. …”
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A Classical LTE Cellular System Simulator for Computer Network Education by Julius Yaw Ludu, Justice Kwame Appati, Ebenezer Owusu, Prince Boakye-Sekyerehene

“…Although there are several simulators available on the market, these simulators are quite expensive to acquire while others come with license restrictions. In this study, a classical LTE cellular system simulator is proposed as a testbed to aid the education of computer networks at college. …”
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The Line-Haul Feeder Vehicle Routing Problem: A Classification and Review by Majid Yousefikhoshbakht, Mohamadreza Chaharmahali, Zakir Hussain Ahmed

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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…Artificial neural networks have achieved a great success in simulating the information processing mechanism and process of neuron supervised learning, such as classification. However, traditional artificial neurons still have many problems such as slow and difficult training. …”
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p-Norm Broad Learning for Negative Emotion Classification in Social Networks by Guanghao Chen, Sancheng Peng, Rong Zeng, Zhongwang Hu, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Xiangyu Nie

“…Negative emotion classification refers to the automatic classification of negative emotion of texts in social networks. …”
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Application of the New Classification on Patients with a Disorder of Sex Development in Indonesia by A. Zulfa Juniarto, Yvonne G. van der Zwan, Ardy Santosa, Remko Hersmus, Frank H. de Jong, Renske Olmer, Hennie T. Bruggenwirth, Axel P. N. Themmen, Katja P. Wolffenbuttel, Leendert H. J. Looijenga, Sultana M. H. Faradz, Stenvert L. S. Drop

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The JADES Transient Survey: Discovery and Classification of Supernovae in the JADES Deep Field by Christa DeCoursey, Eiichi Egami, Justin D. R. Pierel, Fengwu Sun, Armin Rest, David A. Coulter, Michael Engesser, Matthew R. Siebert, Kevin N. Hainline, Benjamin D. Johnson, Andrew J. Bunker, Phillip A. Cargile, Stephane Charlot, Wenlei Chen, Mirko Curti, Shea DeFour-Remy, Daniel J. Eisenstein, Ori D. Fox, Suvi Gezari, Sebastian Gomez, Jacob Jencson, Bhavin A. Joshi, Sanvi Khairnar, Jianwei Lyu, Roberto Maiolino, Takashi J. Moriya, Robert M. Quimby, George H. Rieke, Marcia J. Rieke, Brant Robertson, Melissa Shahbandeh, Louis-Gregory Strolger, Sandro Tacchella, Qinan Wang, Christina C. Williams, Christopher N. A. Willmer, Chris Willott, Yossef Zenati

“…We also conducted multiband follow-up NIRCam observations of a subset of the SNe to better constrain their light curves and classify their types. Here, we present the survey, sample, search parameters, spectral energy distributions, light curves, and classifications. …”
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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

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Progress on the Classification, Characteristics and Food Industry Application of Microbial Proteases and Lipases by Yao ZHANG, Jiaxin WANG, Chanchan WEN, Jiayun HU, Xiaofeng LIU, Yuanfeng WU

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Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest by M. Ravichandran, G. Kulanthaivel, T. Chellatamilan

“…It differs from the traditional classification and document level classification algorithm. …”
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Leaky Modes of Waveguides as a Classical Optics Analogy of Quantum Resonances by Sara Cruz y Cruz, Oscar Rosas-Ortiz

“…A classical optics waveguide structure is proposed to simulate resonances of short range one-dimensional potentials in quantum mechanics. …”
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An approach to the variables and their classification scale, through “age” as a study variable by Luis Alberto Corona Martínez, Mercedes Fonseca Hernàndez

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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao, Yuanxiang Huang, Xiaoyu Wang, Yiwen Zhang, Ian Costa Paixao, Zhikang Wang, Charla Lu Chai, Hongtao Wang, Dinggui Lu, Geoffrey I Webb, Shanshan Li, Yuming Guo, Qingfeng Chen, Jiangning Song

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UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

Subjects: “…hyperspectral image classification…”
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