TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection by Rijun Wang, Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Xiangwei Mou, Guanghao Zhang, Hao Jin

“…MethodsThe multi-scale tomato leaf disease detection model Tomato Focus-Diffusion Network (TomaFDNet) was proposed to solve the above problems. …”
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A Precise Detection Method for Tomato Fruit Ripeness and Picking Points in Complex Environments by Xinfa Wang, Xuan Wen, Yi Li, Chenfan Du, Duokuo Zhang, Chengxiu Sun, Bihua Chen

“…Aiming at the problems faced in practical applications, such as low accuracy of tomato ripeness and picking points detection in complex greenhouse environments, which leads to wrong picking, missed picking, and fruit damage by robots, this study proposes the YOLO-TMPPD (Tomato Maturity and Picking Point Detection) model. …”
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Research on Cross-Circuitry Fault Identification Method for AC/DC Transmission System Based on Blind Signal Separation Algorithm by Yan Tao, Xiangping Kong, Chenqing Wang, Junchao Zheng, Zijun Bin, Jinjiao Lin, Sudi Xu

“…Aiming at such problems, this paper proposes a new method of cross-circuitry Fault diagnosis based on the AC/DC transmission system based on a blind signal separation algorithm. …”
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Identification of Vehicle Logos in Deep Learning: A Comprehensive Survey by Mustafa Noaman Kadhim, Ammar Hussein Mutlag, Dalal Abdulmohsin Hammood, Nurulisma Binti Hj. Ismail

“…This survey begins with an exploration of the escalating significance of logos and the associated challenges to their detection. The core problem addressed revolves around the necessity for robust methodologies capable of accurately identifying logos in diverse scenarios. …”
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Fine C/A code acquisition algorithm for weak GPS signal based on averaging correlation and differential coherent accumulation by IXin-shan L, UOWei G

“…Aiming at the problem of global positioning system (GPS) C/A code acquisition under weak signal conditions,a code acquisition algorithm based on averaging correlation and differential coherent accumulation was proposed.First,the strength ratio of the largest peak to the second largest peak was adopted as the decision variable; optimum decision thresholds can be obtained through the simulation probability of false alarm of all kinds of acquisition algorithms.Second,by setting the decision threshold,the probabilities of detection of different Doppler frequency deviation and signal to noise ratio (SNR) were obtained.Finally,acquisition sensitivities of the code acquisition algorithm based on the differen-tial coherent accumulation were compared with those of the code acquisition algorithm based on coherent and noncoher-ent accumulation and the code acquisition algorithm based on noncoherent accumulation.Simulation results show that acquisition sensitivities of the code acquisition algorithm based on the differential coherent accumulation are improved by about 2.0 dB than those of the other two acquisition algorithms under the same receiving data length condition.…”
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Deployment cost minimization for composite event detection in large-scale heterogeneous wireless sensor networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…How to use as few sensor nodes as possible to detect composite event in large area is a difficult problem because multiple heterogeneous sensor nodes are required for detecting the composite event which consists of several atomic events, and the detection accuracy would be worse if there are no enough sensor nodes. …”
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Fine C/A code acquisition algorithm for weak GPS signal based on averaging correlation and differential coherent accumulation by IXin-shan L, UOWei G

“…Aiming at the problem of global positioning system (GPS) C/A code acquisition under weak signal conditions,a code acquisition algorithm based on averaging correlation and differential coherent accumulation was proposed.First,the strength ratio of the largest peak to the second largest peak was adopted as the decision variable; optimum decision thresholds can be obtained through the simulation probability of false alarm of all kinds of acquisition algorithms.Second,by setting the decision threshold,the probabilities of detection of different Doppler frequency deviation and signal to noise ratio (SNR) were obtained.Finally,acquisition sensitivities of the code acquisition algorithm based on the differen-tial coherent accumulation were compared with those of the code acquisition algorithm based on coherent and noncoher-ent accumulation and the code acquisition algorithm based on noncoherent accumulation.Simulation results show that acquisition sensitivities of the code acquisition algorithm based on the differential coherent accumulation are improved by about 2.0 dB than those of the other two acquisition algorithms under the same receiving data length condition.…”
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Level Set Based Coverage Holes Detection and Holes Healing Scheme in Hybrid Sensor Network by Xiaosheng Yu, Chengdong Wu, Dongyue Chen, Nan Hu

“…This paper firstly proposes a level set based coverage holes detection algorithm for hybrid sensor network. This algorithm could estimate the number of holes and the size of the holes. …”
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Method of Diagnostics of Operation Modes of Individual Heat Supply Units, Allowing to Detect Pre-Emergency Situations at an Early Stage by Dvortsevoy A.I., Borush O.V., Khoreva V.A., Yakovina I.N.

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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

“…This method utilizes the minorization-maximization (MM) algorithm framework and semidefinite relaxation (SDR) technique to transform the non-convex optimization problem into an iterative convex optimization problem for resolution. …”
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Ultrashort wave satellite channel classification and recognition algorithm based on mirror filled spectrum and LA-ResNet50 by Shang WU, Lei SHEN, Lijun WANG, Ruxu ZHANG, Xin HU

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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Based on the false alarm filtering algorithm, the problem of false alarm probably caused by the millimeter wave radar was solved. …”
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A Novel Ship Fuel Sulfur Content Estimation Method Using Improved Gaussian Plume Model and Genetic Algorithms by Chao Wang, Hao Wu, Nini Wang, Zhirui Ye

“…The emission source intensity inversion was formulated as an unconstrained multi-dimensional optimization problem, solved using genetic algorithms. By incorporating ship fuel consumption data derived from basic ship information, the sulfur content of ship fuels was effectively estimated. …”
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A Tactical Conflict Detection and Resolution Method for En Route Conflicts in Trajectory-Based Operations by Dong Sui, Kai Zhang

“…In the conflict detection (CD) submodule, a spatial data structure with low time complexity, the R tree algorithm, is used. …”
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Snow Leopard Infrared Camera Image Detection Method Based on Improved EfficientDet Model by DAI Tianhong, LIU Chao

“… In view of the difficulty of snow leopard detection and recognition in infrared camera images, a snow leopard detection algorithm is proposed based on EfficientDet, which combines domain migration and new attention mechanism.Firstly, the algorithm adopts image enhancement to expand the training sample and adds non-snow leopard images to optimize the dataset structure to improve the robustness of the model. …”
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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

“…The lack of fall data for the elderly is a challenging problem in the fall detection community. To date, the fall and activities of daily life simulated by young people have been used in most studies to train and test fall detection algorithms. …”
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Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…Compared with the existing algorithms under the frequency offsets, the proposed algorithm has a significant improvement in detection performance.…”
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Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion by Canghong Shi, Xin Qiu, Min Wu, Xianhua Niu, Xiaojie Li, Sani M. Abdullahi

“…This dissimilarity makes detecting such tampering a major challenge. To address this problem, we propose a robust audio copy-move forgery detection method using a Decreasing Convolutional Kernel Neural Network (DCKNN), data augmentation, and digital fusion. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…An intelligent fault severity detection method based on variational mode decomposition- (VMD-) Wigner-Ville distribution (WVD) and sparrow search algorithm- (SSA-) optimized deep belief network (DBN) is suggested to address the problem that typical fault diagnostic algorithms are inappropriate for extremely comparable vibration signals when the samples are insufficient. …”
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Design of an Exam Cheating Detection System Application Based on Machine Learning with the Computer Vision Method by Andra Putra Hendrawan, Esti Wijayanti, Ahmad Abdul Chamid

“…The method used involves a Convolutional Neural Network (CNN) algorithm for participant face verification, pose estimation for motion analysis, and You Only Look Once (YOLO) for object detection. …”
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