Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…An important aspect of visual saliency detection is how features that form an input image are represented. …”
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Macroscale-area patterning of three-dimensional DNA-programmable frameworks by Feiyue Teng, Honghu Zhang, Dmytro Nykypanchuk, Ruipeng Li, Lin Yang, Nikhil Tiwale, Zhaoyi Xi, Mingzhao Liu, Mingxin He, Shuai Zhang, Oleg Gang

“…We achieve the selective growth of DNA origami superlattices into customized surface patterns with feature sizes in the tens of microns across macroscale areas using polymer templates patterned by electron-beam lithography. …”
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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

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A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

“…Another challenge lies in analyzing sparse tensor features, which are essential not only for understanding the nonzero pattern but also for selecting the most suitable storage format, decomposition algorithm, and reordering methods. …”
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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

“…With big data, it also allows us to reduce computational time, improve prediction performance, and better understand the data in machine learning or pattern recognition applications. In this study, we present a new feature selection approach based on hierarchical concept models using formal concept analysis (FCA) and a decision tree (DT) for selecting a subset of attributes. …”
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A traffic pattern detection algorithm based on multimodal sensing by Yanjun Qin, Haiyong Luo, Fang Zhao, Zhongliang Zhao, Mengling Jiang

“…These sensors are commonly embedded in commodity smartphones. All the extracted features are then fed into a convolutional neural network to infer traffic patterns. …”
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Recognition of building group patterns using GCN and knowledge graph by Tao Liu, Ziqiang Zhang, Ping Du, Wenning Wang, Haowen Yan, Bo Qiang, Shenglu Xu

“…First, the features of individual buildings are acquired, then the graph structure of building is constructed, and finally, by means of GCN and knowledge embedding, the features of buildings are efficiently learned on the basis of the graph structure of building patterns, and the pattern features of building are extracted, so as to realize the recognition of building patterns. …”
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Postresuscitation Changes in the Brain at the Level of Neuronal Populations: Patterns and Mechanisms by M. Sh. Avrushchenko, V. V. Moroz, I. V. Ostrova

“…Key words: postresuscitation period; neuronal populations; general patterns of neuronal morphological changes; individual, typological, and sex features.…”
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Principles and patterns of formation of skills of economic safe behavior in schoolchildren by E. V. Alekseenko, A. N. Romanova

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Automatic diagnosis of lower back pain using gait patterns by Chandrasen Pandey, Neeraj Baghel, Malay Kishore-Dutta, Carlos M. Travieso González

“…The features alone resulted in higher leave-one-out classification accuracy (LOOCV) 92%. …”
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Prevailing patterns of the sound speed distributions in the environment of the Southern Baltic by G. GRELOWSKA

“…The paper contains the results of experimental and theoretical research aimed at elaborating characteristic features of the acoustic conditions in the Southern Baltic. …”
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Innovative digital morphometry. Structural patterns of the mouth floor muscles

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EFFECT OF LANDSCAPE FEATURES AND FRAGMENTATION ON WILD TURKEY DISPERSAL by Kathleen K. Fleming, William F. Porter

“…First, we simulated the effect of landscape features and landscape fragmentation (measured by edge/area) on dispersal patterns in a wild turkey population in New York State using land‐cover data derived from satellite imagery. …”
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Technological Features of Forming Flat Tool for Processing Axicons by A. S. Kozeruk, R. O. Dias Gonzalez, A. A. Sukhotzkiy, M. I. Filonova, V. O. Kuznechik

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Triple-negative breast cancer: Pattern of recurrence and survival outcomes by Shyny Reddy Chintalapani, Stalin Bala, Meher Lakshmi Konatam, Sadashivudu Gundeti, Siva Prasad Kuruva, Monalisa Hui

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Development and Patterns of 100% Low-floor Light Rail Vehicles by XIAO Feixiong, CHEN Xu, LONG Xiaojun, LUAN Kai

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Clinical profiles and hematologic patterns in Bangladesh's 2019 dengue outbreak by Saeed Anwar, Rahatul Islam, Yusha Araf, Jarin Taslem Mourosi, Mohammad Jakir Hosen

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Manufacture of consumable patterns using additive sheet lamination technology by N. K. Tolochko, P. V. Avramenko, V. B. Kravtsov, A. M. Khartanovich, D. I. Kopchik

“…The advantages and disadvantages of different types of additive technologies used for direct and indirect manufacturing of investment patterns are considered. The features of producing wax and paraffin investment patterns using steel molds manufactured using the additive technology of sheet lamination are experimentally studied. …”
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Capacitively Loaded Loop-Based Antennas with Reconfigurable Radiation Patterns by Saber Dakhli, Hatem Rmili, Jean-marie Floc’h, Muntasir Sheikh, Kourosh Mahdjoubi, Fethi Choubani, Richard W. Ziolkowski

“…The measured impedance mismatch and radiation pattern results are presented and compared to the corresponding simulated values.…”
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Mining behavior pattern of mobile malware with convolutional neural network by Xin ZHANG, Weizhong QIANG, Yueming WU, Deqing ZOU, Hai JIN

“…The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics.In order to solve this problem,an interpretable detection method was proposed.Suspicious system call combinations clustering by social network analysis was converted to a single channel image.Convolution neural network was applied to classify Android application.The model trained was used to find the most suspicious system call combinations by convolution layer gradient weight classification activation mapping algorithm,thus mining and understanding malicious application behavior.The experimental results show that the method can correctly discover the behavior patterns of malicious applications on the basis of efficient detection.…”
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