YOLO-v4 Small Object Detection Algorithm Fused With L-α by ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long

“… The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to that many general algorithms cannot be directly applied to small object detection.The feature pyramid fusion can effectively combine the features of deep and shallow layers to enhance the performance.To solve the problem most models existing ignoring the imbalance of information during the feature fusion between adjacent layers, it is proposed to integrate the idea of fusion factor into the PANet of YOLOv4, use the fusion factor L-αto control the amount of information transmitted from the deep layer to the shallow, so as to effectively improve the efficiency of information fusion and enhance the ability of YOLO-v4 for small objects detection.With the addition of L-αin YOLO- V4 model, the experiment results show that the APtiny50and APsmall50on the TinyPerson are improved by 2.14% and 1.85% respectively, while the AP and APS on the MS COCO are separately increased by 1.4% and 2.7%.It is proved that this improved method is effective for small object detection with the evidence of better result than other small object detection algorithms.…”
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A low illumination target detection method based on a dynamic gradient gain allocation strategy by Zhiqiang Li, Jian Xiang, Jiawen Duan

“…This method optimizes the model through enhancements in multi-scale feature fusion, feature extraction, detection head, and loss function. …”
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AnImproved Naive Bayesian Text Classification Algorithm based on Weighted Features and its Complementary Set by CHEN Kai, HUANG Ying-lai, GAO Wen-tao, ZHAO Peng

“…When training samples of each class are distributed unevenly and sparsely，the features of smaller class cannot be adequately expressed and submerged by lager class，to solve this problem，a new method TFWCNB ( TF-IDF weighted complementary Na-ve Bayes) algorithm was proposed for unbalanced problem． …”
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RFID Privacy Risk Evaluation Based on Synthetic Method of Extended Attack Tree and Information Feature Entropy by Peng Li, Chao Xu, Long Chen, Ruchuan Wang

“…In addition, we model the process of an RFID data privacy attack based on EAT, taking a sensitive information theft attack on an RFID tag as an example. To resolve the problem of assessing the risk probability of each node in EAT, we present the information feature entropy evaluation method for RFID privacy assessment. …”
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A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization by Zeinab Hassani, vahid Hajihashemi, Keivan Borna, Iman Sahraei Dehmajnoonie

“…Spam leads to a growing problem in a personal email, so it would be essential to detect it. …”
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Features of setting up and solving the design and verification tasks on the example calculation of rectification of a binary mixture by M. K. Zakharov, Yu. A. Pisarenko

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Features of the Development of the Continuous Professional Training System in the Management Sphere at the Modern Stage (Example of the Republic of Belarus) by V. M. Litvinovich, G. V. Palchik

“…The article is devoted to the problem of improving the system of continuous professional training in the field of management. …”
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FEATURES OF ELECTROMECHANICAL ACOUSTIC ENERGY CONVERSION BY CYLINDRICAL PIEZOCERAMIC TRANSDUCERS WITH INTERNAL SCREENS IN COMPOSITION OF FLAT SYSTEMS by A. G. Leiko, I. V. Kandrachuk, A. O. Sviatnenko

“…The physical fields arising from the emission of sound by such a system are determined by the joint solution of the system of differential equations: the wave equation; equations of motion of thin piezoceramic shells with circular polarization in displacements; the equations of forced electrostatics for piezoceramics at given boundary conditions, the conditions of conjugation of fields at the boundaries of the division of domains and electric conditions.The solution of the problem is reduced to the solution of an infinite system of linear algebraic equations with respect to unknown coefficients of field expansions.An analysis of the results of numerical calculations, performed on the basis of the obtained analytical relations, called to establish a number of features in the electromechanical acoustic transformation of energy by emitters in the composition of flat systems. …”
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Clinical features of dental status of patients with eating disorders. The relationship of pathologies of the oral mucosa and gastrointestinal tract

“…The features of the influence of somatic pathology on the nature and severity of pathological processes in the oral cavity. …”
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A Novel Self-Positioning Based on Feature Map Creation and Laser Location Method for RBPF-SLAM by Yubao Shen, Zhipeng Jiao

“…The effect of noise data on feature data extraction results is effectively avoided. …”
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RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

“…However, it also faces the issue of huge computation overhead in deep features learning. Aiming at this problem, this paper proposes a new DL-based bone age assessment method based on the Tanner-Whitehouse method. …”
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Ontology-Based Noise Source Identification and Key Feature Selection: A Case Study on Tractor Cab by Su Han, Yiqi Zhou, Yanzhao Chen, Chenglong Wei, Rui Li, Bo Zhu

“…A case study is conducted to demonstrate the effectiveness of the proposed method in resolving the problem of integrating multisource heterogeneous knowledge and exchanging noise diagnosis knowledge information in the field of NVH for agricultural machines. …”
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Dynamic Feature Extraction and Semi-Supervised Soft Sensor Model Based on SCINet for Industrial and Transportation Processes by Jun Wang, Changjian Qi, Xing Luo, Shihao Deng, Qi Lei

“…The dynamic features encoded by the dynamic feature extractor were transferred to the eXtreme Gradient Boosting (XGBoost) ensemble model with strong generalization ability. …”
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Toward Enhanced Adversarial Robustness Generalization in Object Detection: Feature Disentangled Domain Adaptation for Adversarial Training by Yoojin Jung, Byung Cheol Song

“…However, traditional AT is prone to overfitting to specific attack types and remains vulnerable to other kinds of attacks. To solve this problem, we propose Feature Disentangled Domain Adaptation (FDDA). …”
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Energy Services Demand Forecasting Combined with Feature Preferences and Bidirectional Long- and Short-Term Memory Networks by KANG Feng, TAN Huochao, SU Liwei, JIAN Donglin, WANG Shuai, QIN Hao, ZHANG Yongjun

“…Therefore, this paper proposes a user energy service demand prediction model based on feature selection. The methodology includes introducing a sampling algorithm to solve the class imbalance problem in the data on the basis of analysing the user energy service data, reducing the dimensionality of the data based on an autoencoder to ensure efficient clustering of the K-mean algorithm, constructing a feature selection algorithm based on a lightweight gradient lifting machine to filter the effective features and improve the training efficiency of the prediction model, and establishing a bidirectional long- and short-term memory neural network multi-label predicting model based on an attentional mechanism to refine the user’s energy service demand. …”
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ULTRASONIC SIGNAL FEATURE EXTRACTION METHOD BASED ON GENERAL CROSS-VALIDATION THRESHOLDING IN SYNCHROSQUEEZING WAVELET DOMAIN by XIAO ChangMing, XIAO Han, YI CanCan

“…Finally,the method is applied to the feature recognition of microcrack ultrasonic echo signals,and compared with the results of continuous wavelet transform. …”
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Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

“…Aiming at the problem that axle-box bearing faults are difficult to find during the operation of urban rail trains, a bearing fault feature extraction based on variational mode decomposition (VMD) parameter optimization using butterfly optimization algorithm (BOA) was proposed. …”
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LOW FREQUENCY FAULT FEATURE EXTRACTION FOR GEARBOX BASED ON WAVELET TRANSFORM AND CONSTRAINED INDEPENDENT COMPONENT ANALYSIS by LENG JunFa, WANG ZhiYang, CHEN HuiTao, JING ShuangXi

“…Aiming at this problem,a method of gearbox low frequency fault feature extraction based on wavelet transform and c ICA is proposed. …”
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FEATURES AND PROSPECTS OF USING MANAGEMENT INFORMATION SYSTEMS TO INCREASE PRODUCT QUALITY IN THE AI ECONOMY IN DEVELOPING COUNTRIES by Gulmira K. Omurkulova, Ernist K. Kubanychbekov, Azamat S. Kaliev, Elena G. Popkova, Yury A. Tikhomirov

“…We identified the key features and prospects of the improvement of implementing intellectual management information systems, which are aimed at the growth of product quality of agricultural production in African countries. …”
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Circuit Breaker Energy Storage State Identification Based on Quick Extraction of Vibration Signal Interval Features by Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG

“…The vibration signal based circuit breaker faults diagnosis has the problem of time-consuming in feature extraction and poor real-time, which makes the method inapplicable to on-line monitoring. …”
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