A Spectrophotometric Evaluation of Lunar Catharina Crater Using Support Vector Regression Analysis for FeO and TiO₂ Estimations by A. K. Padinharethodi, A. K. Padinharethodi, S. Kumar, Advaith C A

“…This machine learning algorithm is capable of transforming complex nonlinear problems into a higher dimensional feature space and solving it linearly. …”
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Pig behavior recognition and disease warning based on compressed sensing and long-short term memory network by Ren Wang, Mingdong Zhao

“…In order to solve the problems of low precision and poor stability in pig behavior recognition process due to the deficiency of environment and hardware conditions such as complex lighting conditions, close color of target and background, poor camera Angle and parameters, a compressed sensing recognition algorithm via long and short term memory network for optimized feature extraction is proposed in this paper. …”
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Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching by Li Jiashan, Li Zhonghua

“…Secondly, the key frame gesture features of gesture global motion and finger local motion are fused, and linear discriminant analysis is used for feature dimensionality reduction. …”
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Mobile Tunnel Lining Measurable Image Scanning Assisted by Collimated Lasers by Xueqin Wu, Jian Ma, Jianfeng Wang, Hongxun Song, Jiyang Xu

“…Existing tunnel lining mobile scanning methods often fail in image stitching due to the lack of corresponding feature points in the lining images, or require complex, time-consuming algorithms to eliminate stitching seams caused by the same issue. …”
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EEG-Based Emotion Recognition Datasets for Virtual Environments: A Survey by Hussein Ali Hamzah, Kasim K. Abdalla

“…One of the most important problems in virtual environments (VEs) is the difficulty users face when trying to deal with increasingly complex systems. …”
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Quantum Statistical Effects on Warm Dark Matter and the Mass Constraint from the Cosmic Structure at Small Scales by Zhijian Zhang, Weikang Lin

“…The suppression of the small-scale matter power spectrum is a distinct feature of warm dark matter (WDM), which permits a constraint on the WDM mass from galaxy surveys. …”
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An Empirical Study of Different Approaches for Protein Classification by Loris Nanni, Alessandra Lumini, Sheryl Brahnam

“…An area of particular interest in recent studies on automatic protein classification is the exploration of new methods for extracting features from a protein that work well for specific problems. …”
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Stabilization of Stochastic Dynamic Systems with Markov Parameters and Concentration Point by Taras Lukashiv, Igor V. Malyk, Venkata P. Satagopam, Petr V. Nazarov

“…This paper addresses the problem of optimal stabilization for stochastic dynamical systems characterized by Markov switches and concentration points of jumps, which is a scenario not adequately covered by classical stability conditions. …”
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Christian Context of Historical Novel (Zakhar Prilepin’s “Abode”) by O. Yu. Osmukhina, A. D. Karpov, E. A. Beloglazova

“…At the same time, an interest in eternal moral issues, problems of life and death, conscience and duty, love and fidelity in their Christian understanding becomes a feature of Prilepin’s understanding of the historical theme. …”
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A Research Approach to Port Information Security Link Prediction Based on HWA Algorithm by Zhixin Xia, Zhangqi Zheng, Lexin Bai, Xiaolei Yang, Yongshan Liu

“…Because of this, this paper proposes an algorithm called hypergraph-based link prediction with self-attention (HWA) to solve the above problems. The algorithm can obtain hypergraphs without knowing the attribute information of hypergraph nodes and combines the graph convolutional network (GCN) framework to capture node feature information for link prediction. …”
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Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…In order to solve the problem that feature extraction is not refined enough when using the first-order moment mean value calculation in traditional MPE calculation, a calculation method based on the skewness of the third-order moment was proposed. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…To address the problem that column features occupy too few pixels in the image, and to help the model learn these features more effectively, the paired feature superposition maps are cropped into four parts to increase the column feature ratio. …”
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Khatri-Rao Factorization Based Bi-Level Support Vector Machine for Hyperspectral Image Classification by Xiaotao Wang

“…First, it utilizes Khatri-Rao factorization to reshape the feature learning problem into tensor form which intends to break the feature factor matrix into small pieces and make the problem feasible in computation. …”
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Multibranch Network for Addressing Intraclass Variation in Remote Sensing Building Detection by Ryuhei Hamaguchi

“…Previous methods solved the problem by learning single structured and shared feature space with regularization. …”
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Improving deep convolutional neural networks with mixed maxout units by Hui-zhen ZHAO, Fu-xian LIU, Long-yue LI, Chang LUO

“…The maxout units have the problem of not delivering non-max features， resulting in the insufficient of pooling operation over a subspace that is composed of several linear feature mappings,when they are applied in deep convolutional neural networks.The mixed maxout (mixout) units were proposed to deal with this constrain.Firstly,the exponential probability of the feature mappings getting from different linear transformations was computed.Then,the averaging of a subspace of different feature mappings by the exponential probability was computed.Finally,the output was randomly sampled from the max feature and the mean value by the Bernoulli distribution,leading to the better utilizing of model averaging ability of dropout.The simple models and network in network models was built to evaluate the performance of mixout units.The results show that mixout units based models have better performance.…”
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SCR-Net: A novel lightweight aquatic biological detection network. by Tao Li, Yijin Gang, Sumin Li, Yizi Shang

“…Second, a cross-scale feature fusion pyramid (CFFP) structure is introduced, which significantly reduces the number of parameters and computational cost during feature fusion. …”
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U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The improved model not only boosts performance in terms of feature extraction and fusion but is also adept in solving the pressing problems of parameter size and computational efficiency. …”
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Ensemble-RNN: A Robust Framework for DDoS Detection in Cloud Environment by Asha Varma Songa, Ganesh Redy Karri

“…This paper proposes an intrusion detection framework using Ensemble feature selection with RNN (ERNN) to tackle the problem at hand. …”
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GRANICE UPRAWNIEŃ KIEROWNICZYCH PRACODAWCY W STOSUNKU PRACY by Tomasz Duraj

“…The appropriate configuration of these limits may help to solve one of the fundamental problems of modern labor law, which is to harmonize its protective and organizational functions. …”
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Detection and Classification of Dress Code Violations in Educational Environments Using Deep Learning by Aminu Suleiman Bashir, Ahmed Ibrahim Mahmud, Muhammad Yahya

“…The Uniformity across the techniques substantiates the feature extraction performance of the model and demonstrates its generalization ability. …”
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