Detection and Recognition Algorithm for 100-Meter Signage in Urban Rail Transit Based on Connected Domain Segmentation and SVM by YUAN Xiaojun, TIAN Ye, SU Zhen, LIU Xinwu, LI Chen, ZHANG Huiyuan

“…This general algorithm was then modified and optimized, leading to the development of a 100-meter signage detection and recognition algorithm that utilizes connected domain segmentation for detection and a support vector machine (SVM) for digit recognition. The process begins with image preprocessing, which includes binarization and morphological filling. …”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

“…Firstly, a linear prediction benchmark model is constructed: Support Vector Regression (SVR) is used to preliminarily model the tool wear process, obtaining initial prediction results and their error distribution. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…The QoS modeling task was carried out using MBPerf pre-processed dataset. Three (3) classification algorithms including Random Forest (RF), Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) were trained using the QoS dataset and then evaluated in order to determine the most effective model based on certain evaluation metrics – accuracy, precision, F1-Score and recall. …”
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Study of Air-gap Magnetic Field & Characteristic Simulation for PMSM by LI Huaxiang, YUAN Yuepin

“…According to that relative position of stator and rotor will affect output torque of motor, locked torque curve and electromagnetic torque curve in one cycle can be calculated by the FEA transient field method. After post-processing, we can draw a space-time vector graph of motor and can get other parameters. …”
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Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Phase Space Reconstruction and Improved GSA-SVM by Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG

“…The vibration signals generated by transmission and impact of circuit breaker mechanical components have chaotic characteristics, which are difficult to be analyzed with conventional signal processing methods. Firstly, the vibration signals are reconstructed into a high-dimensional space by mutual information method and Cao algorithm, and the permutation entropy is calculated as the feature vector. …”
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RESEARCH ON THE REMAINING INTENSITY OF PIPELINE CORROSION BASED ON IWOA-LSSVM by ZHANG Jia, Ll LinFeng, WANG HaoJie, ZHANG Ting

“…In response to pipeline corrosion surplus intensity, a surplus intensity prediction method based on the Improved Whale Optimization Algorithm (IWOA ) -Least Square Support Vector Machine (LSSVM) combination algorithm model. …”
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Overcoming Hardware Imperfections in Optical Neural Networks Through a Machine Learning-Driven Self-Correction Mechanism by Minjoo Kim, Beomju Kim, Yelim Kim, Lia Saptini Handriani, Suhee Jang, Dae Yeop Jeong, Sung Ik Yang, Won Il Park

“…We developed an optical neural network (ONN) for efficient processing and recognition of 2-dimensional (2D) images, employing a conventional liquid crystal display panel as optical neurons and synapses. …”
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Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification by Zengshu Shi, Yiman Du, Xinwen Yao

“…Therefore, an improved deep convolutional neural network (DCNN) and support vector data description (SVDD) classification is proposed. …”
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Solar PV’s Micro Crack and Hotspots Detection Technique Using NN and SVM by David Prince Winston, Madhu Shobini Murugan, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, O. Jeba Singh, Pravin Murugesan, M. Gurudhachanamoorthy, Eklas Hossain

“…In this study, the effect of the hotspot is studied and a comparative fault detection method is proposed to detect different PV modules affected by micro-cracks and hotspots. The classification process is accomplished by utilizing Feed Forward Back Propagation Neural Network technique and Support Vector Machine (SVM) techniques. …”
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On the intraspecific hybridization of two invasive mosquito species <i>Aedes aegypti</i> and <i>Ae. albopictus</i> by N. Yu. Oyun, G. A. Shipulin

“…The review considers the direction of the hybridization process, mechanisms of postcopulatory isolation, hybrid survival and the effect of interspecific hybridisation on the representation of vectors in the sympatry zone.The study of interspecific hybridization of mosquitoes Ae. aegypti and Ae. albopictus began in the first half of the 20th century. …”
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Burned Area Detection in the Eastern Canadian Boreal Forest Using a Multi-Layer Perceptron and MODIS-Derived Features by Hadi Mahmoudi Meimand, Jiaxin Chen, Daniel Kneeshaw, Mohammadreza Bakhtyari, Changhui Peng

“…Among the ML techniques tested, deep learning (DL) with a Multi-Layer Perceptron (MLP) outperformed Support Vector Machines (SVMs) and Random Forest (RF) by demonstrating superior classification accuracy in detecting burned area. …”
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Stability of bucket movement and directionof movement of the continuous unit to form the underlying layer of the road by V. A. Nikolaev

“…An example of calculating the position of the thrust vector of an energy device is given. The constructive arrangement of the system of automatic adjustment of the position of the thrust vector of the energy device depending on the properties of the developed soil and the general layout of the energy device is proposed. …”
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AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…MethodThe proposed ISSA incorporates several key enhancements to the classic sparrow search algorithm (SSA). First, a vector analysis method is developed to evaluate interval responses, allowing the algorithm to effectively handle uncertainties in ocean currents. …”
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Modeling the Herbicide-Resistance Evolution in <i>Lolium rigidum (Gaud.)</i> Populations at the Landscape Scale by Lucia Gonzalez-Diaz, Irene Gonzalez-Garcia, Jose L. Gonzalez-Andujar

“…Models are useful for identifying key processes and understanding the evolution of resistance. …”
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Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field by ZHOU Feng,HUANG Shilin,LI Xiaoming,LIAO Kaigui,LI Yong

“…This involves determining index weights, conducting consistency tests, and deriving a weight vector. The model is then validated through correlation analysis between the recoverable reserves, open flow, and evaluation values of actual wells. …”
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Modeling engineering of therapeutic education approaches for diabetic patients and quality of the support and human resources management process : Towards a new challenge in the ma... by Jamila Essellouti, Mustapha Bassiri, Malika Tridane, Said Belaaouad

“…The modeling engineering of psychotherapeutic approaches to diabetic patients has a positive impact on the quality of the support process and organizational, personal and professional development, in the sense that the education and neuro-educational training project constitutes a powerful human resources management vector.The research would attempt to analyze therapeutic education models and corresponding health promotion approaches, as well as the identification of methods and techniques used in health practiceAs a result, the quality of the neuro-educational approaches is the guarantor of the effectiveness of the recommended support system. …”
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A Riemannian Dichotomizer Approach on Symmetric Positive Definite Manifolds for Offline, Writer-Independent Signature Verification by Nikolaos Vasilakis, Christos Chorianopoulos, Elias N. Zois

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Innovation-Oriented HR Strategy Transformation and Business Model Reengineering: Empirical Insights from Ukrainian Agribusiness

“…The research employs factor analysis to assess the need for business process optimization across the following indicator groups: the integral vector of enterprise resource productivity (land, labour, and capital), reflecting resource efficiency; the integrated vector of business process profitability; the integrated financial vector; and the vector of business model effectiveness. …”
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Experience of implementation and approaches for further automation in unmanned aerial counting of pacific salmon in the Okhotsk district of Khabarovsk Region by D. V. Kotsyuk, V. V. Sviridov, A. Yu. Povarov

“…Proposed approaches to automation are outlined for key stages of unmanned counting, as spatial coverage planning, aerial photography acquisition, photogrammetric processing, vectorization, and abundance estimation. …”
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New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm by Shayesteh Tabatabaei

“…The results demonstrate that the proposed method outperforms the Tracking-45-Degree-Vectors method in mobile target tracking.…”
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