Using Image Feature Extraction to Identification of Ancient Ceramics Based on Partial Differential Equation by Chuanbao Niu, Mingzhu Zhang

“…This idea was used to turn the problem of division into a problem of difference. …”
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Irrelevant, Incidental and Core Features in the Retrograde Amnesia Associated with Korsakoff’s Psychosis: A Review by P. R. Meudell

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Subsynchronous Oscillation Features and Control Measures for Wind Power Influx Area near HVDC by Shengli WANG, Gang XU

“…According to the subsynchronous oscillation problem that emerged in the wind power integration areas near the ±800 kV HVDC in Hami, Xinjiang, the oscillation features and influence factors are analyzed to propose three measures to monitor, control and prevent subsynchronous oscillation. …”
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Clinical features and treatment strategy for patients with multiple myeloma during the COVID-19 pandemic by V. N. Yakimets, E. N. Misyurina, E. I. Zhelnova, E. A. Baryakh, K. V. Yatskov, A. B. Makeshova, E. A. Karimova, E. N. Zotina, E. Yu. Grishina, D. E. Gagloeva, M. A. Mingalimov, T. N. Tolstykh, T. S. Chudnova, O. L. Kochneva, L. T. Shimanovskaya, Yu. Yu. Polyakov

“…In March 2020, doctors faced the problem of severe COVID-19 coronavirus infection in patients with multiple myeloma. …”
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An Interior Point Method for L1/2-SVM and Application to Feature Selection in Classification by Lan Yao, Xiongji Zhang, Dong-Hui Li, Feng Zeng, Haowen Chen

“…This paper studies feature selection for support vector machine (SVM). …”
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Combination of minimum entropy deconvolution method and Van Cittert algorithm for features extraction of bearings by Nesrine Gouri, Hocine Bendjama, Mohamed Larbi Mihoub

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Research of Fault Feature Extraction and Diagnosis of Planetary Gear Train based on SPS and CNN by Pan Zheng, Jianhua Zhou, Sujie Gao, Ben Chen, Xiangxiong Liu, Shijing Wu

“…In order to solve the problem that the complex structure and operating conditions of planetary gear box lead to the difficulty of signal fault feature extraction， the frequency spectrum feature of gearbox vibration signal with faults is preliminarily deduced by analyzing the vibration mechanism of planetary gear train. …”
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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

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Research and implementation of dynamic path tracking method for badminton based on multi-feature fusion by Jiajia He, Jianqiang He

“…Abstract Aiming at the problem that it is difficult to capture the trajectory of the more specialised movements in badminton, which leads to the blurring of the tracking path, a dynamic path tracking method for badminton based on multi-feature fusion is proposed. …”
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Person re-identification using mid-level features with vertical global appearance constraint by Yadong WANG, Rong ZHANG, Huihui JIANG, Lijun GUO

“…Mid-level features with the semantic information can provide stronger discrimination in the person re-identification than low-level features.But like the low-level features,the mid-level features also use local feature matching methods and easily leads mismatch problem when different pedestrians have similar appearance features in some local areas.Considering the same pedestrians are more similar than different pedestrians in the vertical direction since pedestrians are almost always in a standing position,global vertical appearance constraints was introduced.Furtherly,a method for person re-identification was proposed which fuses the low-level densely patch-matching and the mid-level features with the global vertical appearance constraints.Experimental results show that the proposed algorithm can achieve a higher hit rate than the existing methods on the most challenging public VIPeR database and CUHK01 database.…”
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Rolling Bearing with Isometric Feature Mapping and Fuzzy C means Fault Identification Method by WANG Ya-ping, LI Shi-song, GE Jiang-hua, XU Di, LI Yun-fei

“…In the fault identification of rolling bearing, the traditional ISOMAP algorithm is met with the problem of large deviation of geodesic distance and aliasing in fault identification. …”
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Computing feature matrices using PCA-SVD hybrid method on small-scale systems by Le Tien Hung, Vu Minh Trong, Phan Viet Thanh, Nguyen Le Van

“…The task of performing feature extraction from input matrices is a well-known problem in biometric recognition. …”
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Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features by D. V. Krasnoproshin, M. I. Vashkevich

“…The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. …”
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User-Independent Activity Recognition via Three-Stage GA-Based Feature Selection by Theresia Ratih Dewi Saputri, Adil Mehmood Khan, Seok-Won Lee

“…Therefore, it is unwise to recognize different activities using the same features. This work presents a solution to this problem. …”
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In-Depth Interview-Based Study on the Features of Korean Culture that Attract and Repel Japanese Youth by HyeonCheol Kim, Jeongbae Oh

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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

“…Aiming at the problem that the performance of intelligent detection models was limited by the representation ability of original data (features), a residual network structure ResNet-32 was designed to automatically mine the intricate association relationship between original features, so as to actively learn the high-level abstract features with rich semantic information.Low-level features were more transaction content descriptive, although their distinguishing ability was weaker than that of the high-level features.How to integrate them together to obtain complementary advantages was the key to improve the detection performance.Therefore, multi feature fusion methods were proposed to bridge the gap between the two kinds of features.Moreover, these fusion methods can automatically remove the noise and redundant information from the integrated features and further absorb the cross information, to acquire the most distinctive features.Finally, block-chain abnormal transaction detection model (BATDet) was proposed based on the above presented methods, and its effectiveness in the abnormal transaction detection is verified.…”
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Service clustering method based on description context feature words and improved GSDMM model by Qiang HU, Jiaji SHEN, Guanghui JING, Junwei DU

“…To address the problem that current service clustering methods usually faced low quality of service representation vectors, a service clustering method based on description context feature words and improved GSDMM model was proposed.Firstly, a feature word extraction method based on context weight was constructed.The words that fit well with the context of service description were extracted as the set of feature words for each service.Then, an improved GSDMM model with topic distribution probability correction factor was established to generate service representation vectors and achieve distribution probability correction for non-critical topic items.Finally, K-means++ algorithm was employed to cluster Web services based on these service representation vectors.Experiments were conducted on real Web services in Web site of Programmable Web.Experiment results show that the quality of service representation vectors generated by the proposed method is higher than of other topic models.Further, the performance of our clustering method is significantly better than other service clustering methods.…”
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A Localization Method for UAV Aerial Images Based on Semantic Topological Feature Matching by Jing He, Qian Wu

“…In order to address the problem of Unmanned Aerial Vehicles (UAVs) being difficult to locate in environments without Global Navigation Satellite System (GNSS) signals or with weak signals, this paper proposes a localization method for UAV aerial images based on semantic topological feature matching. …”
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Features of the fetoplacental unit functional state in pregnant women with Epstein-Barr virus infection by A. Yu. Pekar, R. M. Mitsoda

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Morphological features of the structure of the cerebellar cortex of rats in the norm and under prolonged exposure to the opioid by A. M. Bekesevych

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