CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance by Shaohua Zhang, Yan Feng, Ruzhen Chen, Song Huang, Qianchu Wang

“…EEG emotion recognition has important applications in human-computer interaction and mental health assessment, but existing models have limitations in capturing the complex spatial and temporal features of EEG signals. To overcome this problem, we propose an innovative model that combines CNN-BiLSTM and DC-IGN and fused both outputs for sentiment classification via a fully connected layer. …”
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Cross-dataset person re-identification method based on multi-pool fusion and background elimination network by Yanfeng LI, Bin ZHANG, Jia SUN, Houjin CHEN, Jinlei ZHU

“…The existing cross-dataset person re-identification methods were generally aimed at reducing the difference of data distribution between two datasets,which ignored the influence of background information on recognition performance.In order to solve this problem,a cross-dataset person re-ID method based on multi-pool fusion and background elimination network was proposed.To describe both global and local features and implement multiple fine-grained representations,a multi-pool fusion network was constructed.To supervise the network to extract useful foreground features,a feature-level supervised background elimination network was constructed.The final network loss function was defined as a multi-task loss,which combined both person classification loss and feature activation loss.Three person re-ID benchmarks were employed to evaluate the proposed method.Using MSMT17 as the training set,the cross-dataset mAP for Market-1501 was 35.53%,which was 9.24% higher than ResNet50.Using MSMT17 as the training set,the cross-dataset mAP for DukeMTMC-reID was 41.45%,which was 10.72% higher than ResNet50.Compared with existing methods,the proposed method shows better cross-dataset person re-ID performance.…”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

“…In the process of extracting time series features with the deep learning model, weighted fusion of features extracted at different scales , thereby improving the accuracy of the fault diagnosis model. …”
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A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion by Huanzhao Chen, Guohui Tian

“…Robots and humans are facing the same problem: they all need to face a lot of perceptual information and choose valuable information. …”
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Conceptual semantic enhanced representation learning for event recognition in still images by Ruiqi Luo, Bangchao Wang, Yu Feng, Zaihui Deng, Xian Zhong

“…However, if a higher erroneous concept score is given using CNN, multi-view learning will also augment the concept score approximate to its erroneous concept semantics, thereby leading to the distortion of image representation information. To address this problem, CNN is used to extract channel information to obtain the local features of the image, and it is further fused with the optimized concept score features, so as to form the final image representation information and complete the image event recognition. …”
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference. by Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan, Ashley I Heinson

“…We show that simple baseline representations in the form of bag-of-words histograms perform better than those based on self-supervised learning, on sequence similarity and protein inference tasks. By feature selection we show that the top discriminant features help bag-of-words capture important information for data-driven function prediction. …”
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Autonomous Maneuver Decision of UCAV Air Combat Based on Double Deep Q Network Algorithm and Stochastic Game Theory by Yuan Cao, Ying-Xin Kou, Zhan-Wu Li, An Xu

“…Secondly, the convolutional neural network (CNN) is used to process the high-dimensional continuous situation features of UCAV in air combat, eliminate the correlation and redundancy between situation features, and train the neural network to approximate the action-value function. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…The depth detection is transformed to a classification problem with SVM. Bispectrum features, which are extracted from the reconstructed signal using the high-frequency components of wheel vibration acceleration, combining with train speed and corrugation wavelength are input into SVM to recognize the rail corrugation depth. …”
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Constipations in elderly: diagnostics and treatment approach by Yu. O. Shulpekova

“…To illuminate principal causes and features of manifestations of constipation at elderly patients, to present a general investigation and treat- ment plan.Original positions. …”
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The Prediction of Multistep Traffic Flow Based on AST-GCN-LSTM by Fan Hou, Yue Zhang, Xinli Fu, Lele Jiao, Wen Zheng

“…Aiming at the traffic flow prediction problem of the traffic network, this paper proposes a multistep traffic flow prediction model based on attention-based spatial-temporal-graph neural network-long short-term memory neural network (AST-GCN-LSTM). …”
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Helium Speech Recognition Method Based on Spectrogram with Deep Learning by Yonghong Chen, Shibing Zhang, Dongmei Li

“…First, we extract the spectrogram features from the helium speech. Then, we combine a deep fully convolutional neural network with connectionist temporal classification (CTC) to form an acoustic model, in which the spectrogram features of helium speech are used as an input to convert speech signals into phonetic sequences. …”
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«OLD WOMAN IN VERY MODERN INTERNATIONAL DRESS» (GERMAN DUAL SYSTEM OF VET IN GERMANY AND IN THE WORLD) by Dr. Kress Hannelore, Ekaterina Y. Esenina

“…Methods of collecting empirical information on the projects started in the specified countries, methods of the conceptual and terminological analysis, interpretation and modeling, a problem method are chosen.Results. Specifics of the German dual system are revealed; the generalized model of dual VET is constructed; features of approaches of the different countries to use positive experience of Germany for development of its own VET systems are characterized.Scientific novelty. …”
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Application Research of Key Frames Extraction Technology Combined with Optimized Faster R-CNN Algorithm in Traffic Video Analysis by Zhi-guang Jiang, Xiao-tian Shi

“…On this basis, an improved algorithm for vehicle detection based on Faster R-CNN is proposed, and the Faster R-CNN network feature extraction layer is improved by using the principle of residual network, and a hole convolution is added to the network to filter out the redundant features of high-resolution video images to improve the problem of vehicle missed detection in the original algorithm. …”
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Nickname as a Means of Linguistic Self-Presentation in the Internet of People with Eating Disorders by Vitaliia Shebanova, Tetiana Yablonska

“…The predominance of the female audience of such sites is revealed and hence the greater urgency of the problem of standards of the body for women. In the process of analysis, on the basis of psycholinguistic and projective approaches, the main categories of nicknames are singled out: exo-decorative names; metaphorical, decorative and mysterious nicknames; mythical and fantasy characters; destructive, problem image; names that reflect the physical status, etc. …”
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COMPUTER SCIENCE, COMPUTER ENGINEERING AND MANAGEMENT SYNTHESISING THE MODEL OF THE PREDICTIVE MAINTENANCE OF ATMOSPHERIC PIPE STILL by E. S. Gebel, A. A. Ibatullin, M. S. Peshko, V. N. Gudinov

“…Based on the analysis of the technological process and design features of the atmospheric distillation column, the vectors of maintaining and disturbing actions are determined along with the optimisation criterion for the maintenance problem. …”
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Особенности бухгалтерского учета дебиторской и кредиторской задолженности в международной практике...

“…The problem of bill receivable and bill payable accounting is relevant both in Russian and in foreign accounting. …”
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Analysis of User Adaptation to the My Capella Application based on the Coping Model of User Adaptation (CMUA) by Risma Mutia, Megawati Megawati, M. Afdal, Inggih Permana

“…The research findings support four accepted hypotheses: opportunity appraisal significantly influences problem-focused adaptation; secondary appraisal significantly influences both problem-focused and emotion-focused adaptation; and threat appraisal significantly influences problem-focused adaptation. …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…To this aim, the paper lists eight grand challenges for AI in education, addressing promises and risks, suggesting problems to be addressed, and visions to foster. Ethical problems related to AI usage and the possibility that inequalities among students shall be exacerbated are also discussed. …”
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3D Imaging of Buried Dielectric Targets with a Tomographic Microwave Approach Applied to GPR Synthetic Data by Alessandro Galli, Davide Comite, Ilaria Catapano, Gianluca Gennarelli, Francesco Soldovieri, Elena Pettinelli

“…The selected tomographic results illustrate the aptitude of the proposed approach to recover the fundamental features of the targets even with critical GPR settings.…”
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PRAISE AS A SUBJECT OF INTERDISCIPLINARY RESEARCH by Nataly I. Palamar

“…Psychology considers the features and patterns of human behavior, thinking, states and qualities of man. …”
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