Travel Frequent-Route Identification Based on the Snake Algorithm Using License Plate Recognition Data by Feiyang Liu, Jie Zeng, Jinjun Tang, TianJian Yu

“…Path flow always plays a critical role in extracting vehicle travel patterns and reflecting network-scale traffic features. …”
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Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients by Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul

“…A set of 177 Local Binary Pattern (LBP) features were extracted from histopathological images, followed by feature selection using Lasso regression. …”
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Analysis of the Electromagnetic Background Created by Constellations of Low-Earth Orbit Satellites, Based on the Prediction Forecast of the Created Area Traffic Capacity by V. I. Mordachev, D. A. Tsyanenka

“…The paper presents a technique for analyzing the characteristics of the electromagnetic background near the earth’s surface generated by emissions from megaconstellations of low-orbit communication satellites (LOCSS) based on estimates of the average territorial density of wireless traffic generated by them on the earth’s surface and available system characteristics of the LOCSS and their constellations, such as orbit altitude, characteristics of antenna patterns, limitations on the angle at which the main lobe of the LOCSS antenna can be directed to the earth’s surface, and features of subscriber terminal servicing scenarios. …”
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A Comprehensive Review on Studies of Flow Characteristics in Horizontal Tube Falling Film Heat Exchangers by Zhenchuan Wang, Meijun Li

“…It is further indicated that the multi-dimensional flow characteristics and their quantitative characterizations under the impacts of different airflow features will constitute the focal research directions for horizontal tube falling film heat exchangers in the foreseeable future.…”
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Toward a Recognition System for Mexican Sign Language: Arm Movement Detection by Gabriela Hilario-Acuapan, Keny Ordaz-Hernández, Mario Castelán, Ismael Lopez-Juarez

“…This paper focuses on the AM features and reports the approach created to analyze visual patterns in arm joint movements (wrists, shoulders, and elbows). …”
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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

“…An image representation of the desired radiation pattern is provided as input to the proposed network architecture, where PA-CNN learns to recognize spatial features and map input patterns to the amplitude and phase of the antenna element weights. …”
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Submarine Cable Vibration Signal Recognition Based on Sparrow Search Algorithm Optimized Support Vector Machine by GUO Jiaxing, QIAN Junxia, LIU Rui, MA Hongjuan

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Research and implementation of network transmission situation awareness by ZHUO Ying, GONG Chun-ye, GONG Zheng-hu

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Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

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Research onconvolutional neural network for reservoir parameter prediction by You-xiang DUAN, Gen-tian LI, Qi-feng SUN

“…As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep learning becomes more and more advanced,but the research on the field of geological reservoir pa-rameter prediction is still rare.A method to predict reservoir parameters by convolutional neural network was presented,which can not only predict reservoir parameters accurately,but also get features of the geological reservoir.The study es-tablished the convolutional neural network model.Results show that the convolutional neural network can be used for reservoir parameter prediction,and get high prediction precision.Moreover,convolutional features from convolutional neural network provided important support for geological modeling and logging interpretation.…”
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Research on Detection Technology of Wind Turbine Blade AnomalyBased on Audio Data by HU Kaikai, CHEN Yanan, CHEN Gang, SHU Hui, LI Ziyuan

“…By installing a pickup on the wind turbine, analyzing and mining the collected wind turbine audio data, and based on the multi classification machine learning model, it explores a set of audio data feature analysis and pattern recognition methods. …”
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Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization by Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan

“…Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. …”
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Improvement of signal detection based on using machine learning by Bassam Abd

“…The paper strongly emphasized extracting the dataset's most essential features, which improved Support Vector Machines’ capacity to detect signals in noisy and complicated situations. …”
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A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images by Mohamed Benaouali, Mohamed Bentoumi, Mansour Abed, Malika Mimi, Abdelmalik Taleb-Ahmed

“…We evaluated our approach using four openly available datasets and investigated two categories of feature extraction methods: handcrafted methods (Local Binary Pattern (LBP), Histogram of Oriented Gradients (HOG)) and methods based on convolutional neural network (CNN) models. …”
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Digestive system-related pathophysiological symptoms of Sasang typology: Systematic review by Mi Suk Lee, Kyungwoo Sohn, Yun Hee Kim, Min-Woo Hwang, Young Kyu Kwon, Na Young Bae, Han Chae

“…The results were organized and analyzed based on four categories [digestive function, appetite, eating pattern, and body mass index (BMI)] to elucidate type-specific symptoms. …”
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Deep learning-based recognition model of football player’s technical action behavior using PCA–LBP algorithm by Hongtao Chen, Zhengbai Lin, Quan Xu

“…Abstract Football is a sport that requires sportsmen to have both physical strength and physical features. It must consider the distinctions between individuals and then provide targeted training. …”
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Decoding Peroxidase Gene Function in Heat Stress Adaptation of <i>Tetranychus urticae</i>: Unraveling Molecular Mechanisms of Short-Term Thermal Tolerance by Yaonian Chen, Yuan Liu, Rangjun Wang, Pengcheng Nie, Bin Wei, Rasha S. Abdel-Fattah, Suqin Shang, Youssef Dewer

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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…For real-time tracking and locomotion pattern analysis, RpiBeh utilizes several novel algorithms and integrated newly developed deep-learning method. …”
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Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs by Xi Wang, Liang Zhou, David López-Carr, Yongze Song, Hong Gao, Tao Che, Zhifeng Liu, Wei Wei

“…However, few studies have focused on the complex dynamics, spatial patterns, and dominant factors of the coordination between urban grey and green spaces. …”
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Genome-Wide Analysis of the Multidrug and Toxic Compound Extrusion Gene Family in the Tea Plant by Tao Xie, Yumei Qian, Deyan Wang, Xiadong Yan, Ying Jiang, Min Li, Hao Rong, Tao Xia

“…The <i>CsMATE</i> genes within the same class exhibit similar structural features, while displaying certain distinctions across different classes. …”
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