The Symbiotic Bacterial Profile of Laboratory-Reared and Field-Caught <i>Aedes albopictus</i> Mosquitoes from Greece by Elias Asimakis, Ioannis Galiatsatos, Georgia Apostolopoulou, Eleni C. Savvidou, Georgios Balatsos, Vasileios Karras, Vasiliki Evangelou, Eva Dionyssopoulou, Antonios Augustinos, Nikos T. Papadopoulos, Antonios Michaelakis, Panagiota Stathopoulou, George Tsiamis

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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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AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

“…These models include support vector regression (SVR), random forest (RF), artificial neural network (ANN), gradient boosting (GB), and Gaussian Process Regression (GPR). …”
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Fast Spot Locating for Low-Density DNA Microarray by MinGin Kim, Jongwon Kim, Sun-Hee Kim, Jong-Dae Kim

“…While this improvement applies to the vectorized square calculation alone, substantial performance gains were still achieved in the overall process. …”
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Integrating experimental and theoretical approaches for enhanced machine learning modeling of solar radiation by Nader Ghareeb, Abeer Alanazi, Ahmad Sedaghat, Mohamad Hussein Farhat, Arash Mehdizadeh, Hayder Salem, Mohammad Nazififard, Ali Mostafaeipour

“…In total, 28 ML models were evaluated, encompassing linear regression, support vector machines, Gaussian process regression, and neural networks. …”
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Determination of the Energy Efficient Speed of the Working Body of the Agitator for Small Biogas Reactors by Spodoba M.O., Spodoba О.O., Kovalchuk S.I., Oliinik Yu.O.

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REGRESSION ANALYSIS AND GIS METHODS FOR ASSESSMENT OF THE PLAGUE EPIZOOTIC ACTIVITY OF KAZAKH NATURAL PLAGUE FOCI by N. .. Niyazbekov, Z. .. Abdeliyev, Z. .. Sagiyev, A. .. Matzhanova, A. .. Abdrazakova, B. .. Aysauytov, M. .. Balibayev, N. .. Toksanbayeva, Sh. .. Ibrayeva, A. .. Yermakhanov, M. .. Burambayeva, S. .. Zhadyrassyn, B. .. Aimakhanov, L. .. Kupteleuova, K. .. Akmambetova

“…The plague natural foci of Kazakhstan are a complicated system of relations between the plague microbe, warm-blood host and vector. The complex approaches used for study of the processes of the plague epizooty and prognosis it. …”
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Temperature Dependence of Fiber-Format Multiwavelength Generation Process in Bulk MgO-PPLN Crystal Via High-Power Photonic Crystal Fiber Laser by Kaili Zhai, Shuanggen Zhang, Xiurong Ma, Youjian Song, Minglie Hu, Qingyue Wang, Kailiang Zhang

“…Temperature dependence of wave-vector mismatch, group velocity, central wavelength, and conversion efficiency was theoretically analyzed. …”
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Optimizing Euclidean Distance Computation by Rustam Mussabayev

“…These optimizations enable scalable and efficient processing for modern data-driven tasks, directly leading to reduced energy consumption and a minimized environmental impact.…”
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Raster Image-Based House-Type Recognition and Three-Dimensional Reconstruction Technology by Jianbo Chang, Yunlei Lv, Jian Wang, Hao Pang, Yaqiu Liu

“…By generating and filtering candidate primitives through axial alignment rules and geometric constraints, followed by post-processing to refine the positions of walls, doors, and windows, our approach achieves over 87% precision and 88% recall, with positional errors within 1% of the floor plan’s dimensions. …”
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Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach by Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

“…These results highlight the utility of natural language processing–based approaches for predicting and managing ADR.…”
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INVESTIGATION OF CHANGES IN THE LEVEL OF NETWORK SECURITY BASED ON A COGNITIVE APPROACH by Olha Saliieva, Yurii Yaremchuk

“… A study was conducted on the impact of the most significant threats on the level of network security based on the examination of impulse processes on a fuzzy cognitive map. A topological analysis of the structure of the cognitive map was performed, simplicial complexes were constructed, and their structural vectors were determined. …”
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Prefix “Neo” in the Cultural and Scientific Reflection by Veronika B. Zuseva-Özkan

“…The article considers the main vectors of the cultural and scientific reflection of the prefix “neo”. …”
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Calculation of coal-water fuel combustion technology based on mathematical modeling by Н.К. Танашева, Л.Л. Миньков, А.Ж. Тлеубергенова, К.К. Саденова

“…Numerical simulation of the process of burning coal-water fuel was carried out in the software package ANSYS Fluent. …”
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An approach based on double-frontier DEA for determining priorities and obtaining weights in AHP by Hossein Azizi

“…Purpose: The Analytic Hierarchy Process (AHP) is a multiple criteria decision-making method extensively used in various fields. …”
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MODELLING OF MODES OF A THREE-PHASE CHAIN WITH CROSS-SECTION ASYMMETRY by Gennadij P. Karabashev

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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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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

“…These models were used to optimize the reduction process and attain the requisite conditions from the cadmium hexavalent (Cd (VI)) to trivalent (Cd (III)). …”
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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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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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