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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Solar PV&#x2019;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. …”
Get full text

Library and Information Education in the Digital Age: Students’ Expectations by E. Yu. Kozlenko, N. Yu. Vaytsekhovich

“…The survey touched upon such research areas as a promising vector for the development of library education, students’ readiness for library activities in a digital environment, and the use of information and communication technologies in the learning process. …”
Get full text

The use of acoustic emission technique in MWD for mine to mill approach as a smart tool for sustainable mining by Mohammad Hossein Jalalian, Raheb Bagherpour, Mehrbod Khoshouei

“…Optimizing these processes, starting from blasting, enhances efficiency and profitability. …”
Get full text

Features of the Regional Economic Systems Development with a Mono-Branch Focus by O. V. Astafyeva, E. V. Astafyev

“…A grouping of indicators was carried out, the dynamics of which can be used to determine the stage of the industry life cycle, dominating in the region. Three strategic vectors of the region development were identified, taking into account the dynamics of innovative processes in the industry and contribution to the region economic development which is dominant in the economic activity, the indicators determining the stage of the industry life cycle were pointed out, the approach to identify strategic development priorities of the regional economy was proposed taking into account the most important factors. …”
Get full text

Improving the Performance of a Korean Patent Document Search Model using KorPatBERT-based CPC Classification Model by Jaeok Min, Hansung Noh, Minhak Kwak, Solbin Hwang, Taehoon Kim

“…Furthermore, this study presents a method for generating high-dimensional document embedding vectors that can effectively reflect the technical subject and context of patent documents and a method for building a search system capable of processing large volumes of patent data in real time. …”
Get full text

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. …”
Get full text

Study of Air-gap Magnetic Field &amp; 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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification by Zengshu Shi, Yiman Du, Xinwen Yao

“…Second, the adaptive batch normalization processing (AdaBN) is performed to improve the noise immunity. …”
Get full text

Aortic Regeneration is Promoted by Intermittent Fasting in Aged Rats by Hikmet Taner Teker, Taha Ceylani

Get full text

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. …”
Get full text

Stationary thermal-gas-dynamics of flows in the cylinder and exhaust system of a piston engine by L. V. Plotnikov, V. A. Shurupov, V. A. Slednev, D. A. Davydov, D. N. Krasilnikov

“…The velocity field, isolines of equal velocities, and tangential velocity vectors were chosen as the gas-dynamic characteristics of the flow. …”
Get full text

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. …”
Get full text

Research on traction load forecasting of electrified railway by LIU Fu, LIAO Qishu

“…In order to ensure the power quality of traction power supply system and reduce the costs for purchasing electricity by traction substation, a probabilistic forecasting model of traction load based on sparse Gaussian process (SGP) is proposed. Firstly, the model constructed the input feature vector based on the historical characteristics of traction load and time information. …”
Get full text

An Innovative Approach for Fake News Detection using Machine Learning by Maya Hisham, Raza Hasan, Saqib Hussain

Get full text

Computational intelligence analysis on drug solubility using thermodynamics and interaction mechanism via models comparison and validation by Ahmad J. Obaidullah, Wael A. Mahdi

“…Four models—Gaussian Process Regression (GPR), Support Vector Regression (SVR), Bayesian Ridge Regression (BRR), and Kernel Ridge Regression (KRR)—are evaluated. …”
Get full text