Aircraft Bearing Fault Diagnosis Method Based on LSTM-IDRSN by Lei Wang, Kun He, Haipeng Fu, Weixing Chen

“…A fully connected layer with a SoftMax activation function is then used to classify faults in the training set. …”
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Image Video Teaching Method in College Physical Education by Haibo Xu, Lun Wan

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Tempering Feydeau: Twisting and Guilty Pleasures on the London Stage (1893-1897) by Violaine Heyraud

“…London theatres surrendered to his infectious laughter, producing a number of his plays between 1892 and 1897, though admittedly, carefully selected: The Sportsman, adapted from Monsieur chasse! , The Other Man from Champignol malgré lui, His Little Dodge (Le Système Ribadier), A Night Out (L’Hôtel du Libre-Échange) and A Night Session (Séance de nuit). …”
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From fitness trackers to medical devices: wearable technologies by Zhi Zhou

“…A graphic user interface has been implemented to suggest a series of exercises to improve a sportsman/woman s condition, depending on the context and their profile. …”
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ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

“…Finally, the weather images are classified and recognized through the fully connected layer and Softmax classifier. In addition, we build a medium-scale dataset of weather images on traffic road, called “WeatherDataset-4,” which consists of 4 categories and contains 4983 weather images covering most of the severe weather. …”
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Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems by Ming Yang, Hao Ma, Bomin Chen, Guangtao Dong

“…Meanwhile, considering that the selection of regularization parameters of Softmax classification method will cause the problem of probability calculation, support vector machine (SVM) is used for path classification to enhance the confidence of classification. …”
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OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

“…Channel attention is applied by calculating the mean and variance across channels, followed by a softmax operation to highlight essential features in the channel. …”
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A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

“…Finally, pooling layers, fully connected layers, and Softmax are applied to complete the recognition PQDs. …”
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A New Fault Diagnosis Method for Rolling Bearings with the Basis of Swin Transformer and Generalized S Transform by Jin Yan, Xu Zhu, Xin Wang, Dapeng Zhang

“…Finally, the extracted features are input into the improved Softmax classifier for fault classification. The various signal processing methods for the bearing signal processing ability are compared, and this model’s diagnosis ability and the ability to resist noise are verified. …”
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A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels by Tao Jin, Jiaming Liu

“…The use of the sparsemax function instead of the softmax function for dynamic routing within the Capsule Network directs the network’s focus more on capsules contributing significantly to the final output, reducing the impact of noise and redundant information, and further improving the classification performance. …”
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A Low-Power Streaming Speech Enhancement Accelerator for Edge Devices by Ci-Hao Wu, Tian-Sheuan Chang

“…Additionally, we employed softmax-free attention, complemented by an extra batch normalization, facilitating simpler hardware design. …”
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«Grei skuring»? En komikers imitasjon av norsk med polsk preg by Anne Golden, Lars Anders Kulbrandstad

“…Vi finner at Johansens imitasjon har mange trekk til felles med polskpreget andrespråksnorsk, selv om disse ikke er konsekvent gjennomført. Vi stiller også spørsmål om slik humor med imitasjon av andrespråkspreget norsk og humoristiske fortellinger kan oppfattes som nedlatende og dermed er problematisk. …”
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Impact of plyometric training and weight training on vertical jumping ability by Jaswant Thakur, Mukesh Mıshra, Vishan Rathore

“…On the basis of findings of the study it may be considered that Plyometric training could be very much useful method of training for sportsman to improve vertical jumping ability and to retain the same for a longer duration.…”
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GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network by Mohammad Farukh Hashmi, B. Kiran Kumar Ashish, Prabhu Chaitanya, Avinash Keskar, Sinan Q. Salih, Neeraj Dhanraj Bokde

“…The end layer comprises of a Softmax classifier to classify the final prediction of the subject identity. …”
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A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing by Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

“…In the second stage, the learned features are obtained by training batch-normalized DSF with frequency-domain signals, and then the features are fine-tuned by backpropagation (BP) algorithm. In the third stage, softmax regression is used as a classifier for heath condition recognition based on the fine-tuned features. …”
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Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology by Haitao Chen

“…The convolutional layer, pooling layer, and fully connected layer in a convolutional neural network are responsible for feature extraction, reducing the number of parameters, integrating features into high-level features, and finally classifying them by SoftMax classifier in turn. However, the actual situation is intricate and often the result is not obtained as envisioned, and the use of migration learning can be a good way to improve the overfitting phenomenon. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…For classifying photographs into fresh and decaying fruits, softmax is used, while CNN obtains fruit image properties. …”
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Prediction Model of Water Demand for Scouring Siltation in Coastal River Networks Based on APSO and SVM: A Case Study of Doulong Port by MA Zhutong, XIANG Long, YAN Ke

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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Moreover, we propose an integrated end-to-end neural network learning framework based on one complete encoder-decoder architecture transformer model: Transfer Text-to-Text Transformer (T5), by learning the embedding vector representation space of conditional molecular properties to encode and guide the vector representation of SMILES sequences, resulting in the output of the final decoder block with a softmax output (maximum likelihood objective). Moreover, we evaluated the performance of these NLP-based generation models and another new model architecture based on a selective state space and selected the best approach jointing a transfer learning strategy for de novo drug discovery to target L858R/T790M/C797S-mutant EGFR in non-small cell lung cancer.…”
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Supporting Health and Social Care Students Stay and Stay Well: A Conceptual Framework for Implementing Integrated Care Into Higher Education by Louise Grant, Lisa Bostock, Caroline Reid, Nasreen Ali, Fiona Factor

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