Crop-Free-Ridge Navigation Line Recognition Based on the Lightweight Structure Improvement of YOLOv8 by Runyi Lv, Jianping Hu, Tengfei Zhang, Xinxin Chen, Wei Liu

“…In order to improve the intelligence level and operational efficiency of agricultural machinery and solve the problems of difficulties in recognizing navigation lines and a lack of real-time performance of transplanters in the crop-free ridge environment, we propose a crop-free-ridge navigation line recognition method based on an improved YOLOv8 segmentation algorithm. …”
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Automatic construction of global cloud sample database based on Landsat imagery by Tao He, Guihua Huang, Lei Zhang, Daiqiang Wu, Yichuan Ma

“…In order to address problems of cloud samples required for cloud detection, such as reliance on manual interpretation, high collection costs, and limited quantity, this paper proposed a universal and automatic construction algorithm for cloud sample database (UAC-CSD) to create a large database of accurate and representative global cloud samples. …”
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Improving the security and quality of real-time multimedia transmission in cyber-physical-social systems by Qindong Sun, Han Cao, Wenjing Qi, Jingpeng Zhang

“…To defend the attack of inserting fake video into real-time video, we also design a detection algorithm based on time-related token. The experimental results show that the proposed methods can guarantee the continuity of video stream, improve the quality of image in the mobile network and ensure the security during transmission effectively.…”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The results of testing children with lisping and rhotacismus problems showed that the Jaro algorithm has a slightly higher accuracy of comparing two texts (by an average of 1.14%), and, at the same time, a shorter comparison time for large text arrays (by 39%). …”
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Postintubation cicatricial stenosis of the trachea and ways of its elimination by S.N. Loginov, E.G. Feoktistova, O.S. Knestyapin

“…Currently, there are no uniform standards of prevention and an algorithm for the treatment of this serious complication, which in some cases leads to disability of the patient and fatal outcomes. …”

Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies by V. Meruane, J. Mahu

“…The main problem in damage assessment is the determination of how to ascertain the presence, location, and severity of structural damage given the structure's dynamic characteristics. …”
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Wavelet-Analysis of Cardiosignals Using Matlab by B. F. Badalyan, H. A. Gomtsyan, S. G. Gomtsyan

“…This article is devoted to the problem of accurate detection of cardiosignal QRS-complexes for early diagnosis of various diseases of human cardiovascular system. …”
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ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment by Marco Guerrieri, Nicola Pugno

“…The macroscopic traffic flow variables of interest were estimated using the deep learning method and the YOLO detection algorithm. The results show that ants adopt specific traffic strategies (platoon formation, quasi-constant speed and no overtaking maneuvers) that help avoid jam phenomena, even at high density. …”
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Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery by Hongchao Wang, Wenliao Du

“…To address the above problems, an impulsive feature-enhanced method which combines fast spectral correlation (FSC) with sparse representation self-learning dictionary is proposed in the paper. …”
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On the Forward Scattering of Microwave Breast Imaging by Hoi-Shun Lui, Andreas Fhager, Mikael Persson

“…Recent studies focus on solving the imaging problem using an inverse scattering approach. Efforts have mainly been focused on the development of the inverse scattering algorithms, experimental setup, antenna design and clinical trials. …”
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Multiobject Tracking in Videos Based on LSTM and Deep Reinforcement Learning by Ming-xin Jiang, Chao Deng, Zhi-geng Pan, Lan-fang Wang, Xing Sun

“…Firstly, the multiple objects are detected by the object detector YOLO V2. Secondly, the problem of single-object tracking is considered as a Markov decision process (MDP) since this setting provides a formal strategy to model an agent that makes sequence decisions. …”
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EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation by Suwicha Jirayucharoensak, Setha Pan-Ngum, Pasin Israsena

“…Automatic emotion recognition is one of the most challenging tasks. To detect emotion from nonstationary EEG signals, a sophisticated learning algorithm that can represent high-level abstraction is required. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…The combined use of local and global texture information is helpful in the presented problem when prioritizing the recognition of complex texture patterns that cannot be deciphered by a single algorithm. …”
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Deghosting method for cross localization in distributed high frequency surface wave radar by Na Cui, Xuekun Chen, Changjun Yu

“…The simulation results demonstrate the effectiveness of the proposed method compared with the other investigated deghosting algorithms. The proposed approach exhibits robust target detection capability while significantly reducing both the OSPA error and the cardinality error.…”
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Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades by Liping Huang, Kai Lu, Liang Zeng

“…Capitalizing on deep learning frameworks, this method innovatively transforms the impact source localization problem into a classification task, thereby eliminating the need for anisotropy compensation and correction required by conventional localization algorithms. …”
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Exploring Machine Learning and Deep Learning Approaches for Battery Management Systems in EVs: A Comprehensive Review by Sathish J., Ramash Kumar K., Saraswathi D.

“…Machine learning and deep learning algorithms mimic humans by focusing on statistical data and algorithms on a real-time basis. …”
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Radio frequency based distributed system for noncooperative UAV classification and positioning by Chaozheng Xue, Tao Li, Yongzhao Li

“…Finally, the Chan algorithm is used to calculate the location of the UAV. …”
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Identification of unknown operating system type of Internet of Things terminal device based on RIPPER by Shichang Xuan, Dapeng Man, Wu Yang, Wei Wang, Jiashuai Zhao, Miao Yu

“…Also, it is compared with the existing support vector machine and C45 decision tree classification algorithms. Experiments reveal that RIPPER-based algorithm has better recognition accuracy and recognition efficiency.…”
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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslav Yevsieiev, Ahmed Solyman

“…A structure of information interaction between hardware modules is proposed, and a connection scheme is developed, on the basis of which a model of a computer vision system is assembled for research, with the required algorithmic and software for solving the problem. To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…Finally, the IQ criteria were optimized through a particle swarm optimization algorithm. The proposed framework outperformed existing EGM-based rotor detection methods, demonstrating superior functionality and performance compared to existing EGM-based rotor detection methods. …”
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