A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…Results demonstrate that our method efficiently solves the DSSE problem—which cannot be solved using conventional methods—and detects and mitigates bad data, further enhancing the reliability of the state estimation results.…”
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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…Then, to solve the problem of parameter optimization of the traditional GRU algorithm, the neural network architecture search was used to improve the GRU algorithm, and the N-GRU model was obtained. …”
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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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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…This contribution proposes a classifier designed to reduce the number of false positive detections. It is a self-tuning model, tested in the context of phishing link detection. …”
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Evolution of compressed sensing theory and dynamic electric energy measurement method by WU Wenqian, WANG Xuewei

“…Aiming at the problems of high complexity and low accuracy of compressed measurement algorithm in the current application of compressed sensing theory, an accurate compressed measurement method of dynamic electric energy value of pseudo-random signal is proposed. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…We design an iterative algorithm to update the parameters alternately and test it over benchmark data sets of abnormal behavior detection in video, Amazon product reviews sentiment analysis, etc.…”
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Optimal Allocation of SVG Considering Voltage Mitigation of DG Grid-connected Inverter and APF by Jing XU, Shuya TIAN, Tiejun ZHAO, Xiaogang GAO, Ju YE, Lingyan BU, Wenmiao LIU

“…To solve the voltage deviation problem caused by the high penetration of distributed generation (DG) in the distribution networks, a strategy is proposed for optimal allocation of static var generator (SVG) with consideration of voltage mitigation of DG grid-connected inverter (GCIN) and voltage detection based active power filter (VDAPF). …”
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Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

“…To address the difficulty of detecting moldy walnuts and the problem of low detection efficiency, a non-destructive method based on fused features of X-ray and visual images was proposed to accurately distinguish four grades of moldy walnuts: moldy both internally and externally, moldy internally and normal externally, normal internally and moldy externally, and normal both internally and externally. …”
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assessment of land-cover change in South part of Lake Urmia using satellite imagery by Khadijeh Mikaeli Hajikandi, Behrooz Sobhani, Saeid Varamesh

“…During the last decade, growing increase of aridity in Uromiyah Basin has become a major regional and even national problem. The purpose of this study is to reveal the changes in land use/cover in the southern and southeastern parts of the basin with using 2 images for month of July of 2000 to 2017. …”
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A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions by Amir Sohail Habib, Saif Ur Rehman Khan, Ebubeogu Amarachukwu Felix

“…To address this situation, the test suite reduction (TSR) technique is widely used that focusses on finding a representative test suite without compromising its effectiveness such as fault‐detection capability. In this work, a systematic review study is conducted that intends to provide an unbiased viewpoint about TSR based on various types of search algorithms. …”
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Distance Conversion Factors for In Situ H-Field Emissions Tests by Jordi Sole-Lloveras, Yasutoshi Yoshioka, Manuel Anon-Cancela, Thilo Kootz, Ferran Silva, Marco A. Azpurua

“…Simulation models based on loop-type electromagnetic field sources are employed to evaluate, using the method of moments, the changes in the amplitude of the H-field components along the measurement axes. An algorithm is developed to extract the H-field strengths normalized to the reference distance and then, through methods for optimal detection of changepoints, such a normalized curve is fitted to a piece-wise linear function that becomes the generalized distance conversion factor, presented in the form of simplified equations. …”
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Grading evaluation method for inter-turn short circuit of permanent magnet traction motor based on deep Gaussian processes by DAI Jisheng, HU Dean, XU Hailong, ZHU Wenlong, LIAO Qishu

“…This has become a key technical problem that urgently needs to be solved for the widespread application of permanent magnet motors. …”
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

“…We propose a pattern recognition system with an incremental learning ensemble algorithm using support vector machines (SVM) tackling this problem employing multimodal MR images and a texture-based information strategy. …”
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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…In accordance with the logic of the developed concept, a program for studying the spatial features of the immigration of foreign students in Russia is presented. The step-by-step algorithm of the research program includes several stages, reflecting the nature and content of the main tasks to be solved.Conclusions. …”
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Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector by Zhuofu Wang, Boning Li, Li Wang, Zhen Cao, Xi Zhang

“…Due to the complex structure of high-rise space buildings, traditional point fire detectors are not effective in terms of detection range and installation difficulty. Although linear beam smoke detectors are widely adopted, they still face problems such as low accuracy and false alarms caused by interference. …”
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Study on the Key Technology of Image Transmission Mechanism Based on Channel Coding Ghost Imaging by Leihong Zhang, Ye Hualong, Dawei Zhang

“… It solves problems such as insufficient feasibility, low reduction degree, long imaging time of current imaging algorithm, and so on.…”
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Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…In view of the problems of low loop current and ineffective detection of traditional line protection equipment when series fault arc occurs, a fault arc recognition neural network model based on wavelet analysis and backpropagation(BP) neural network is established to identify the fault arc quickly and accurately. …”
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基于BP神经网络的汽车变速箱试验台开发与试验研究 by 杨正才, 黄兵锋

“…A universal online detection test-bed of transmission is developed,the automatic shift of transmission is realized by the test-bed using the industry control computer control mechanical arm.Data analysis model is established based on neural network algorithm,and neural network training is completed by the gradient descent method.The network can discriminate transmission quality successfully.The establishment of expert system is good to solve nonlinear problems of shift strategy and determine the gear parameters accurately.The fatigue test,transmission efficiency test and other test items can be completed by the test-bed.The system has good reliability,high intelligence and has the good application value in the aspect of automatic detection and fault diagnosis of gearbox.…”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…This challenge highlights the need for data-driven methods to infer complete temperature fields from sparse measurements, addressing the inverse problem of temperature reconstruction. This study presents a data-driven approach using the gappy proper orthogonal decomposition (Gappy POD) algorithm, a reduced-order modeling technique, for real-time temperature monitoring of large-scale battery modules. …”
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