Faulty feeder selection based on improved Hough transform in resonant grounded distribution networks by Xiaowei Wang, Xinyu Qu, Liang Guo, Zhihua Zhang, Yizhao Wang, Peng Wang

“…The problem of identifying the zero-sequence power mode trend is transformed into a mathematical problem of determining the geometric shapes of straight lines and curves in the zero-sequence power mode image. …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…To enhance the ability of Cyber Physical Social Intelligence (CPSI) to process three-dimensional spatial information, we investigate the problem of object detection in 3D Light laser Detection And Ranging (LiDAR) point clouds. …”
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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…It starts asymptomatically and can end in blindness. To detect it, doctors use special fundus cameras that allow them to register images of the retina in the visible range of the spectrum. …”
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On the role of diagnosis of prostate diseases at the outpatient appointment of a therapist by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, G. Yu. Knorring

“…Malignant diseases remain an important problem in medicine, while its solution depends on the effectiveness of detecting the early stages of cancer at the outpatient stage, including the therapeutic link in the provision of medical care. …”
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Development of AI-based smart box trap system for capturing a harmful wild boar by Francis Ifaso Besala, Ryunosuke Niimoto, Jae Hoon Lee, Shingo Okamoto

“…Abstract The invasion of crops by harmful wild animals is a significant global issue, with Japan experiencing annual economic losses amounting to billions of yens. To mitigate this problem, most farmers use manually triggered traps. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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Fungi Infection in Surgical Department. Systemic and Local Antifungal Therapy by L. A. Blatun, G. E. Skladan, R. P. Terekhova, S. A. Prudnikova, M. G. Krutikov, O. I. Andreytseva, M. N. Yan, A. A. Nikitin, A. A. Ushakov, N. G. Askerov, V. A. Mitish, Yu. S. Paskhalova, P. A. Munios Sepeda, S. D. Magomedova, S. L. Sokov

“…To determine the frequency of detection of pathogenic fungi in a variety of surgical departments, to track the effectiveness of the developed algorithm of systemic and local antifungal therapy. …”
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Control Strategy of Ground Automatic Neutral Section Passing for AC Drive Train by Wenguang LUO, Ping HE, Zhixue ZHANG, Yun PENG, Jingyu HU, Gang FU

“…The power loss detection algorithm of four-quadrant converter, DC voltage control of inverters, overall control logic and protection were expounded. …”
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Transceiver Design for an FDA-MIMO Radar and MIMO Communication Spectral Coexistence System by Qihang XU, Lan LAN, Guisheng LIAO, Kewei WANG, Tongxing ZHENG

“…During the optimization process, the Alternating Optimization (AO) strategy is employed to decompose the problem into multiple subproblems, which are solved in an iterative way. …”
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Analysis of errors of the artificial horizon sensor based on vision system by A. A. Sheinikau, L. A. Ivanitski, V. A. Malkin

“…The problems of automatic detection and determination of the position of the horizon line on changing digital images that make up the video stream from the onboard digital camera are shown. …”
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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

“…An automatic optimization algorithm has been proposed to deal with data quality problems such as fluctuations, imbalances, and large intervals. …”
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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

“…Aiming at the problems of inconsistent standards and low efficiency of manual measurement of oversized parts, a machine vision-based measurement method for battery box parts is proposed for the measurement scenario of battery box parts in new energy vehicles. …”
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ML-Enabled Millimeter-Wave Software-Defined Radio With Programmable Directionality by Marc Jean, Murat Yuksel, Xun Gong

“…To showcase the potential of the testbed, we tackle the Angle-of-Arrival (AoA) detection problem using reinforcement learning (RL) methods on the receiver side. …”
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High-Precision Electrical Impedance Tomography for Electrical Conductivity of Metallic Materials by Shuanfeng Zhao, Yao Miao, Rongxia Chai, Jiaojiao Zhao, Yunrui Bai, Zheng Wei, Simin Ren

“…Therefore, this paper addresses the problem of detecting the conductivity distribution of metals by investigating a high-precision four-electrode AC measurement method. …”
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Deep Learning Techniques in the Cancer-Related Medical Domain: A Transfer Deep Learning Ensemble Model for Lung Cancer Prediction by Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied Saied

“…Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. …”
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Delving into Underwater Image Utility: Benchmark Dataset and Prediction Model by Jiapeng Liu, Yi Liu, Qiuping Jiang

“…On the one hand, we first construct a large-scale Object Detection-oriented Underwater Image Utility Assessment (OD-UIUA) dataset, which includes 1200 raw underwater images, corresponding to 12,000 enhanced results by 10 representative underwater image enhancement (UIE) algorithms and 13,200 underwater image utility scores (UIUSs) for all raw and enhanced underwater images in the dataset. …”
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Multiple-Image Encryption Mechanism Based on Ghost Imaging and Public Key Cryptography by Leihong Zhang, Xiao Yuan, Kaimin Wang, Dawei Zhang

“…In the encryption system, a plurality of light paths are set, and the Hadamard basis patterns are used for illumination, so that each light path is concentrated in a bucket detector to obtain intensity values of all images. Then, all the detected intensity values are encrypted by using public key cryptography algorithm to obtain the final ciphertext. …”
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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

“…Heart disease is a major problem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data has collaborated with information technology such as machine learning to detect, predict, and classify diseases. …”
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Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning by Xiaojin DING, Yehui XU, Wen BAO, Gengxin ZHANG

“…To solve the problem of the weak spectrum-cognitive ability caused by monitoring angle, direction resolution, limited processing ability and peak power for a low-earth-orbit (LEO) satellite, a multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning was proposed.Firstly, considering the available computing resource, cognitive performance, processing and transmission delay of each spectrum cognitive satellite, a cooperative-satellite selection and computing-resource allocation algorithm was built for multiple spectrum-cognitive tasks.Secondly, based on the selected satellites and the allocated computing resources, a low-complexity multi-satellite cooperative spectrum cognitive strategy was further designed, which could automatically sense the spectrum holes, and detect interference as well as identify the modulation mode.Simulation results demonstrate that compared to the single-node cognitive method, the designed multi-satellite cooperative spectrum cognitive strategy can obtain a better cognitive performance.Moreover, comparing with the existing model, the model utilized in the designed strategy can effectively achieve 96.69% and 93.32% lower number of parameters and required floating point operations per second, whilst maintaining the performance.…”
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Development of an IEC 61850 Standard-Based Busbar Protection Scheme by L. S. Mgaga, M. E. S. Mnguni

“…They determine the effectiveness of the protection scheme in terms of detecting and isolating busbar faults. A literature survey has revealed that multiple proposed algorithms of busbar protection schemes have encountered a common problem of achieving interoperability between intelligent electronic devices produced by different vendors. …”
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