Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
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Inter-Episodic Relationshi ps in Children's Narrative by Ann Darnton

“…It is, therefore, of considerable importance that the teachers of young children develop an awareness of the main features of narrative discourse, an understanding of the way in which those discourse features may be organised in order to create a coherent text and some knowledge of the likely evelopmental progression of the child's awareness of narrative discourse organisation. …”
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Study on domain adaptation of medical data based on generative adversarial network by Hufei YU, Jingxi WEN, Jiang XIN, Yan TANG

“…In the study of medical imaging aided diagnosis,researchers often collect a lot of training data coming from different hospitals (named variety fields).But because of the certain field has insufficient training data,the deep learning model would get very poor performance on the test data of this field.To mitigate this problem,a method to study domain adaptation of the difference between male and female brain images based on the generative adversarial network was proposed.The data distribution of different domains was learned and the key features were extracted by using the generative adversarial network,and then the differences between male and female brain images in different domains were studied based on the extracted key features.Experiments show that the method can also achieve more than 80% recognition accuracy in the domain with only a small amount of data involved in training.…”
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Deep learning autoencoder approach: Automatic recognition of artistic Arabic calligraphy types by Rami Al-Hmouz

“…Recognition of Arabic calligraphy types is a challenging problem. Difficulties include similarities among different types, overlap between letters, and letters that assume different shapes. …”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…Distinguishing fire from non-fire objects in night videos is problematic if only spatial features are to be used. Those features are highly disrupted under low-lit environments because of several factors, such as the dynamic range limitations of the cameras. …”
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Dissipative Structures of the Kuramoto–Sivashinsky Equation by N. A. Kudryashov, P. N. Ryabov, B. A. Petrov

“…In the present work, we study the features of dissipative structures formation described by the periodic boundary value problem for the Kuramoto-Sivashinsky equation. …”
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Mathematical modeling and simulation of magnetized bioconvective nanoliquid flow capturing Brownian motion, multiple slip, thermophoresis and gyrotactic microorganisms configured b... by Hakim AL Garalleh, Sami Ullah Khan, M. Waqas, Nurnadiah Zamri, Barno Abdullaeva, Manish Gupta

“…The nanofluid assumed to be electrically conducting with amplification of magnetic force. The problem is entertained in presence of different slip features including velocity, temperature, concentration and microorganisms. …”
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Multimodal Framework for Long-Tailed Recognition by Jian Chen, Jianyin Zhao, Jiaojiao Gu, Yufeng Qin, Hong Ji

“…The proposed framework leverages the advantages of multimodal models and mitigates the problem of class imbalance in long-tailed data recognition. …”
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CRITICAL ANALYSIS OF LOADING BY TECHNOLOGY RECONDITIONING, WITH APPLICATION TO REPAIR PIECES OF AUTO INDUSTRY by Gheorghe AMZA

“…The problem of exploitation of diamond grinding wheels with metal coating for their grains including detonation ultra-dispersed diamonds to increase functional reliability to maintain the initial integrity of grains in the pressing and sintering of diamond-metal composites in the tool production is considered. …”
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Good Apples / Bad Apples: Detection and classification of damage by Angel Star, Conor Pommer, Marius Silaghi

“…Parameters of the segment anything algorithm are evaluated for this problem domain and appropriateness of algorithm features is discussed for the real problem, obtaining directions for algorithmic improvement.…”
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Facial Kinship Recognition Through Dilated-Stacked-Unified Attention Network by Ahmed A. Dabas, Mohamed A. Ismail, Nagia M. Ghanem

“…We investigate the effects of learning those features in an alternative domain of decoupled channel-spatial. …”
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Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks. by Petros-Pavlos Ypsilantis, Musib Siddique, Hyon-Mok Sohn, Andrew Davies, Gary Cook, Vicky Goh, Giovanni Montana

“…While the dominant methodology relies on hand-crafted texture features, we explore the potential of automatically learning low- to high-level features directly from PET scans. …”
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Research on an Eye Control Method Based on the Fusion of Facial Expression and Gaze Intention Recognition by Xiangyang Sun, Zihan Cai

“…Based on the self-attention fusion strategy, the fused features are calculated, and the multi-layer perceptron is used to classify the fused features, so as to realize the mutual attention between different features, and improve the accuracy of intention recognition by enhancing the weight of effective features in a targeted manner. …”
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Fault diagnosis of HVCB via the subtraction average based optimizer algorithm optimized multi channel CNN-SABO-SVM network by Qingjun Song, Jiuxin Wang, Qinghui Song, Kai Li, Wenchao Hao, Haiyan Jiang

“…Abstract The mechanical fault diagnosis of HVCB is important to ensure the stability of electric power systems. Aiming at the problem of poor diagnostic performance of deep learning methods under limited samples, this paper proposes an HVCB operating mechanism fault diagnosis model (multi-channel CNN-SABO-SVM, MCCSS) based on multimodal data fusion features and Subtraction-Average-Based Optimizer (SABO). …”
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Evaluation of turbulence models in the external flow around the heated pipe by G. R. Badretdinova, I. R. Kalimullin, V. E. Zinurov, A. V. Dmitriev

“…In the course of the study, the most suitable turbulence model was selected to solve the problem of external flow around the heated pipe. A grid model is constructed taking into account the features of the problem under consideration. …”
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Multiobjective Optimization Method and Application of Tolerance Allocation for the Steam Turbine Based on Cooperative Game Theory by Li-li Li, Kun Chen, Jian-min Gao, Jun-kong Liu, Zhi-yong Gao, Man-xian Wang

“…Aiming at the optimization problem of multiple objectives with contradictions and conflicts in the process of allocating the tolerance for complex products, taking advantage of the features of coordinating, and balancing contradictions and conflicts of cooperative game theory, this paper uses cooperative game theory to solve the multiobjective optimization problem of tolerance allocation. …”
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Design of a Logistics Nonlinear System for a Complex, Multiechelon, Supply Chain Network with Uncertain Demands by Aaron Guerrero Campanur, Elias Olivares-Benitez, Pablo A. Miranda, Rodolfo Eleazar Perez-Loaiza, Jose Humberto Ablanedo-Rosas

“…Industrial systems, such as logistics and supply chain networks, are complex systems because they comprise a big number of interconnected actors and significant nonlinear and stochastic features. This paper analyzes a distribution network design problem for a four-echelon supply chain. …”
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FORMATION OF LEADERSHIP QUALITIES IN FUTURE TEACHERS OF HUMANITIES by Pits Iryna, Hura Antonina, Maksymtschuk Larysa

“…The article examines the problem of the formation of leadership qualities in future teachers of humanitarian disciplines. …”
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A Multi-Modal Attentive Framework That Can Interpret Text (MMAT) by Vijay Kumari, Sarthak Gupta, Yashvardhan Sharma, Lavika Goel

“…The proposed Visual Question Answering model focuses on the image’s most relevant part by using an attention mechanism and passing all the features to the fusion encoder after getting pairwise attention, where the model is inclined toward the OCR-Linguistic features. …”
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A framework for IoT and Blockchain Based on Marketing Systems with an Emphasis on Big Data Analysis by Alireza Aliahmadi, Hamed Nozari, Javid Ghahremani-Nahr

“…Despite all the positive features of IoT-based smart marketing and the presence of big data, the disclosure of private information is the main problem. …”
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