Hand Detection Using Cascade of Softmax Classifiers by Yan-Guo Zhao, Feng Zheng, Zhan Song

“…To tackle such problems, in this work, an efficient cascade detector that integrates multiple softmax-based binary (SftB) models and a softmax-based multiclass (SftM) model is investigated to perform multiclass posture detection in parallel. …”
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Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor by Junfeng Yang, Yuwen Huang, Fuxian Huang, Gongping Yang

“…Second, three-layer features are extracted, and the features of each layer are represented by a sparse softmax vector. In the first layer, the features are extracted by PPG data as a whole. …”
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KAUNO KOLEGIJOS STUDENTŲ POŽIŪRIS Į NEĮGALIUS ASMENIS IR JŲ INTEGRAVIMĄ PER SPORTĄ by Andrius Brusokas, Jūratė Martinonytė

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Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks by C. S. Chin, JianTing Si, A. S. Clare, Maode Ma

“…Transfer learning using Google’s Inception V3 model with Softmax at last layer was carried out on a fouling database of 10 categories and 1825 images. …”
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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

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Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design. by Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W McCrindle, Russell J McCulloh, Kimberly McHugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, RECOVER-Pediatric Consortium

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ANTHROPOLOGICAL BASIS OF HUMAN DIMENSION IN SPORT AS THE IMPLEMENTATION OF A PERSON'S GENERIC ESSENCE by V. Ye. Bilogur

“…The purpose of the article is to make the theoretical framework of a sportsman dimension concept as the realization of a person's generic essence that is a basis of a new scientific direction formation of sports anthropology and philosophy of sport. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…The improved depth confidence network identifies and classifies Chinese traditional musical instruments through Softmax layer, and the accuracy is even as high as 99.2%; DBN is combined with Softmax neural network algorithm when only a few labeled samples in the training set are used for network fine-tuning, and the accuracy of the algorithm can still reach more than 90%, which can reduce the workload in the early stage. …”
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Nasilje v športu med mladimi športniki by Nika Strašek

“…Vsepogostejše pojavljanje nasilja v športu je posledica aktualnih družbeno - ekonomskih razmer in predvsem poveličevanje pomena zmage, ki postaja pomembnejša od izvornega pomena športa. Z razvojem športa in njegovih panog ter sprememb njegovega pomena v družbi so se razvile nove oblike nasilja v športu. …”
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Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network by Decai Zhang, Xueping Ren, Hanyue Zuo

“…In this paper, a one-dimensional convolutional neural network (1-D CNN) intelligent diagnosis method with improved SoftMax function is proposed. Local mean decomposition (LMD) decomposes the signals into different physical fictions (PF). …”
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Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…The machine learning system, which is composed of a softmax regression model and a convolutional neural network model, can grade a potato tube into six different quality levels based on tube appearance and size. …”
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss by Guofa Li, Lisha Huang, Liangwen Tang, Chunli Han, Yaoyu Chen, Heng Xie, Shen Li, Gang Xu

“…Most of the current studies used the traditional Softmax loss for solutions, but its discriminative capability encounters a bottleneck. …”
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Intelligent Auxiliary Artificial Wood Plank Pattern Design Based on the Subject Search Algorithm of Multimedia Resources by Lihua Zhao

“…At the same time, use the self-learning method to optimize the convergence efficiency and reduce the design time. Finally, pass the softmax designer extracts design schemes for patterns and straight lines.…”
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CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network by Guojie Liu, Jianbiao Zhang

“…First, the data is preprocessed, the original one-dimensional network intrusion data is converted into two-dimensional data, and then the effective features are learned using optimized convolutional neural networks, and, finally, the final test results are produced in conjunction with the Softmax classifier. In this paper, KDD-CUP 99 and NSL-KDD standard network intrusion detection dataset were used to carry out the multiclassification network intrusion detection experiment; the experimental results show that the multiclassification network intrusion detection model proposed in this paper improves the accuracy and check rate, reduces the false positive rate, and also obtains better test results for the detection of unknown attacks.…”
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Neural Linguistic Steganalysis via Multi-Head Self-Attention by Sai-Mei Jiao, Hai-feng Wang, Kun Zhang, Ya-qi Hu

“…Then, we utilize multi-head self-attention to model the interactions between words in carrier. Finally, a softmax layer is utilized to categorize the input text as cover or stego. …”
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OSVRT NA DESETLJETNO SUSTAVNO ETNOLOŠKO ISTRAŽIVANJE PRIMORSKO-LIČKIH BUNJEVACA by MILANA ČERNELIĆ

“…Ante Glavičića 1999. godine, nastavila se putem projekta Ministarstava znanosti obrazovanja i sporta Republike Hrvatske Identitet i etnogeneza primorskih Bunjevaca (2002.-1006) u suradnji s Gradskim muzejom Senja. …”
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Improved Convolutional Neural Image Recognition Algorithm based on LeNet-5 by Lijie Zhou, Weihai Yu

“…Based on convolution operation, pooling operation, softmax classifier, and network optimization algorithm in improved convolutional neural network of LeNet-5, this paper conducts image recognition experiments on handwritten digits and face datasets, respectively. …”
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Intelligent System of Somatosensory Music Therapy Information Feedback in Deep Learning Environment by Nan Zhao

“…Based on the theoretical basis of Deep Belief Network (DBN) in deep learning, this paper proposes a method that combines the optimized Restricted Boltzmann machine (RBM) feature extraction model with the softmax classification algorithm. Brain wave tracking analysis is performed on children with autism who have received different music perception treatments to improve classification accuracy and achieve the purpose of accurately judging the condition. …”
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Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time-Frequency Analysis by Ahmed K. Ali, Wathiq Rafa Abed

“…We detect the targets using three patterns generated by the convolutional layers, utilizing three deep network structures, each containing a softmax classifier that identifies one pattern out of three. …”
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Deep Learning for Person Reidentification Using Support Vector Machines by Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu

“…Different from previous works, we represent the pairs of pedestrian images as new resized input and use linear Support Vector Machine to replace softmax activation function for similarity learning. …”
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