Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques by Rumana Islam, Mohammed Tarique

“…This investigation has employed two algorithms to solve this problem objectively. One algorithm uses lower-dimension encoded features extracted from the X-ray images and applies them to the machine learning algorithms for final classification. …”
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Long-Range Imaging through Scattering Media Using Deep Learning by Ying Jin, Cangtao Zhou, Wanjun Dai

“…Imaging through scattering media is an important and challenging problem, and the technology has been used in many fields, such as autonomous driving, industrial inspections, remote sensing imaging, and biomedical imaging. …”
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Digital Cartels and Inequalities: The Role Companies Have in Increasing Income Inequality by Ömer Torlak

“…At least it tries to reduce existing inequalities.The income inequality, which seems to be quite new today, is in fact a social problem since the early capitalist period. It can be said that income inequalities continue to grow in terms of incorporation. …”
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Control of tool wear during turning of parts of construction and road machines in conditions of repair production by Ovsyannikov V.E., Vasiliev V.I.

“…At the same time, repair production uses mainly obsolete equipment and the qualification of machine-tools is often lower than in the manufacture of new products. A significant problem which makes it difficult to provide the required surface quality parameters is the wear of the cutting tool. …”
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Boundary Layer Separation from a Curved Backward-Facing Step Using Improved Delayed Detached-Eddy Simulation by Matthew R. McConnell, Jason Knight, James M. Buick

“…Curved surfaces are a feature of many engineering applications, and as such, the accurate prediction of separation and reattachment from a curved surface is of great engineering importance. …”
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An Optimal Linear Transformation for Data Assimilation by Chris Snyder, Gregory J. Hakim

“…We show for an idealized problem that sample‐based estimates of the COOs, in conjunction with covariance localization for the sample covariance, can approximate well the true values, but a practical implementation of the transformation for high‐dimensional applications remains a subject for future research. …”
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SAR ship target detection method based on CNN structure with wavelet and attention mechanism. by Shiqi Huang, Xuewen Pu, Xinke Zhan, Yucheng Zhang, Ziqi Dong, Jianshe Huang

“…Although the deep semantic segmentation network has been widely used in the detection of ship targets in recent years, the global information of the image cannot be fully utilized. To solve this problem, a new convolutional neural network (CNN) method based on wavelet and attention mechanism was proposed in this paper, called the WA-CNN algorithm. …”
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Research on Offshore Vessel Trajectory Prediction Based on PSO-CNN-RGRU-Attention by Wei Liu, Yu Cao

“…In busy offshore waters with high vessel density and intersecting shipping lanes, the risk of collisions and accidents is significantly increased. To address the problem of insufficient feature extraction capability of traditional recurrent neural networks (RNNs) in ship trajectory prediction in busy nearshore areas, this paper proposes a hybrid model based on Particle Swarm Optimization (PSO), Convolutional Neural Networks (CNN), Residual Networks, Attention Mechanism, and Gated Recurrent Units (GRU), named PSO-CNN-RGRU-Attention, for ship trajectory prediction. …”
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LTR-Net: A deep learning-based approach for financial data prediction and risk evaluation in enterprises. by Shimiao Liu

“…Financial data prediction and risk assessment represent a complex multi-task problem that requires effective handling of time-series data and multi-dimensional features. …”
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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…Subsequently, fuzzy theory is utilized for feature-level information fusion, and the variance contribution values of common factors are taken as input parameters for the membership function to identify the fault types of CVT, thus achieving the accurate diagnosis of high-voltage CVT faults. …”
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State of Methods More Than Mere Words: Applying Linguistic Analysis Methods to Qualitative Projects by Felice D. Billups

“…Researchers employ numerous methods to explore phenomena, but few studies feature linguistic prompts as a primary data collection strategy. …”
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Development of AI-Based Public Safety System with Face Recognition Using CNN and SVM Models in Real-Time by Naila Ratu Alifa, Yana Cahyana, Rahmat Rahmat, Sutan Faisal

“…Sexual crimes are an increasing problem, with many cases difficult to identify due to the limitations of existing surveillance systems. …”
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Investigation of a Markov Model for Computer System Security Threats by Alexey A. A. Magazev, Valeria F. Tsyrulnik

“…Also the prospects of the received results application to the problem of finding the optimal values of the security parameters is discussed.…”
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Oxidative stress in jobs with exposure to xenobiotics by Tavakol Heidari Shayesteh, Akram Ranjbar

“…Also, these workers need better precautions to protect them against serious health problem.…”
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CST-Net: community-guided structural-temporal convolutional networks for popularity prediction by Xuxu Zheng, Peng Bao, Lin Qi, Chen Tian, Huawei Shen

“…The challenge of this problem comes from the inequality of the popularity of content and the numerous complex factors. …”
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Maximum Entropy-Minimum Residual Model: An Optimum Solution to Comprehensive Evaluation and Multiple Attribute Decision Making by Qi-Yi Tang, Yu-Xuan Lin

“…The MEMR composite indicator extracts the common feature of multiple factors while preserving their diversity. …”
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Video Recognition of Government Community Management Cases Based on Partial Differential Equation Method by Yumeng Sun

“…In the image smoothing layer, this paper innovatively selects the second derivative based on image processing as the inherent feature of image recognition, so as to solve the rough problem of image edge and improve the processing efficiency of the algorithm. …”
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Perception and Control Module of the Automatic Tracking System forAutonomous-rail Rapid Tram by YUAN Xiwen, FENG Jianghua, HU Yunqing, ZHANG Xinrui, HUANG Ruipeng, LIN Jun, YUAN Hao

“…Under the condition of incomplete road information and random vehicle vibration, its perception subsystem that builds a stable virtual track via image recognition solves the problem of information separation, identification, feature extraction and continuous digital virtual central line generation. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…On the basis of extracting edge contours, the contour description method based on the increment of centroid height is used to extract the feature of contour centroid height increment, which not only considers the problem of motion blur but also incorporates the dynamic information of contour changes with target motion. …”
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Cross-ViT based benign and malignant classification of pulmonary nodules. by Qinfang Zhu, Liangyan Fei

“…To solve this problem, a Cross fusion attention ViT (Cross-ViT) network that fuses local features extracted by CNN and global features extracted by Transformer is proposed. …”
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