Real-time prediction model of public safety events driven by multi-source heterogeneous data by Quanlong Fan, Gang Xu

“…To address the challenge of efficiently integrating multi-source heterogeneous data to improve the accuracy of public safety event prediction, this study proposes and validates a novel public safety event prediction model, GATPNet, based on multi-source heterogeneous data. …”
Get full text

Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…To address this, we employed the Levenberg–Marquardt Algorithm (LMA) as a deterministic optimization method to estimate the magnetic source’s position and parameters, as well as machine earning (ML) algorithms, which consist of a Fully Connected Neural Network (FCNN). …”
Get full text

A statistical insight to exploration of medicinal wastewater as a source of thermostable lipase-producing microorganisms. by Sisir Rajak, Shaikh Rajesh Ali, Baidyanath Pal, Sibani Sen Chakraborty

“…Extracellular lipolytic activity was confirmed via the cup-plate method with Tween 20/80 agar and methyl red as the indicator. …”
Get full text

Conventional and Innovative Methods for Reducing the Incidence of <i>Listeria monocytogenes</i> in Milk and Dairy Products by Adriana Dabija, Cristina Ștefania Afloarei, Dadiana Dabija, Ancuța Chetrariu

“…This paper presents a synthesis of the specialized literature on methods to reduce the incidence of <i>L. monocytogenes</i> in milk and dairy products. …”
Get full text

Influence of internal heat source on penetrative convection in a dual-component hybrid nanofluid layer by Y.H. Gangadharaiah, Manjunatha N, M. Girinath Reddy, Maryam Ali Alghafli, Irshad Ayoob, Nabil Mlaiki

“…This study investigates the influence of internal heat sources on penetrative convection in a horizontal layer of a common composite nanofluid subjected to bottom heating and salting. …”
Get full text

Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

Get full text

Implementation of Artificial Intelligence in Agriculture to Optimize Irrigation by A. Yu. Fedosov, A. M. Menshikh

“…The relevance of artificial intelligence in agriculture is substantiated for irrigation optimization. (Research purpose) To report on the progress made over the past few years in the application of artificial intelligence to optimize crop irrigation. …”
Get full text

Optimizing the Finance Structure of Capital at Commercial Organization by Yu. S. Ermakova

Get full text

VP-SFDA: Visual Prompt Source-Free Domain Adaptation for Cross-Modal Medical Image by Yixin Chen, Yan Wang, Zhaoheng Xie

“…Background: Source-free unsupervised domain adaptation (SFUDA) methods aim to address the challenge of domain shift while preserving data privacy. …”
Get full text

Supply chain management and optimization in transportation logistics by Saoussen Krichen

“…Then, we stated some basics of the transportation as an optimization problem. As the transportation activity is a hard optimization problem, two solution approaches are to be considered: exact and approximate methods. …”
Get full text

Objective evaluation of the pharyngoesophageal segment as a source of substitute phonation in patients after total laryngectomy by N. A. Daikhes, S. S. Reshulskiy, M. L. Isaeva, V. V. Vinogradov

Get full text

Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…In addressing the problem of indoor air pollution source localization, traditional methods have limitations such as strong sample dependence and low computational efficiency. …”
Get full text

Energy Optimisation in Aquaponics—Integrating Renewable Source and Water as Energy Buffer for Sustainable Food Production by Abdul Aziz Channa, Kamran Munir, Mark Hansen, Muhammad Fahim Tariq

“…However, the high energy costs associated with maintaining optimal water conditions remain a critical factor in ensuring its long‐term viability. …”
Get full text

Marine actinomycetes: A promising source of novel therapeutics and pharmaceutical bioactive compounds – A review by Jamal Abdulaziz Arbab Ibrahim, Satyanarayana Botcha, Subhashini Devi Prattipati

“…Marine actinomycetes serve as a rich source of bioactive compounds with significant therapeutic and pharmaceutical value. …”
Get full text

Auto-embedding transformer under multi-source information fusion for few-shot fault diagnosis by Bo Wang, Shuai Zhao, Qian Zhao, Yang Bai

“…Abstract Data-driven intelligent fault diagnosis methods have become essential for ensuring the reliability and stability of mechanical systems. …”
Get full text

A Sliding Mode Controller for Prediction of the Maximum Power Point Tracking of Hybrid Renewable Sources by Sydykbaev Zhenis, Ghassan Kasim Al_Lami, Shaymaa Abed Hussein, Karrar Shareef Mohsen, Ahmed Abdulkhudher Jassim, Sura Khalil Ibrahim, Khudr Bary Freeh Alsrray, Zahraa N. Abdulhussain

Get full text

Estimation of Aboveground Biomass of Chinese Milk Vetch Based on UAV Multi-Source Map Fusion by Chaoyang Zhang, Qiang Zhu, Zhenghuan Fu, Chu Yuan, Mingjian Geng, Ran Meng

Get full text

Analytical Optimization of Piezoelectric Circular Diaphragm Generator by S. Mohammadi, M. Abdalbeigi

“…The aim of this paper is to optimize produced electrical energy from mechanical pressure. …”
Get full text

Permission clustering-based attribute value optimization by Wenchao WU, Zhiyu REN, Xuehui DU

“…In new large-scale computing environment, the attributes of entities were massive and they had complex sources and uneven quality, which were great obstacles to the application of ABAC (attribute-based access control).The attributes were also hard to be corrected manually, making it difficult to be applied in access control system straightly.To solve the optimization problem of nominal attributes, a novel algorithm of attribute value optimization based on permission clustering was designed, in which entities were presented by the privilege set related to them.So that the entities were tagged by density-based clustering method with distances of their privilege set presentations.Then the attribute values were reduced and corrected based on rough set theory.Finally, the algorithm was verified on UCI data sets, which proved that after applying it, ABAC policy mining was improved in the evaluation criteria, such as the true positive rate and F1-score.…”
Get full text

Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data by Shaohui Zhou, Zhiqiu Gao, Bo Gong, Hourong Zhang, Haipeng Zhang, Jinqiang He, Xingya Xi

“…(CSPGRI) during the winter of 2023. Our method integrates static geographic information, dynamic meteorological factors, and ice_kriging values derived from parameter-optimized Empirical Bayesian Kriging Interpolation (EBKI) to create a spatiotemporally matched, multi-source fused icing thickness grid dataset. …”
Get full text