Methodology for the development of identification criteria of stone fruit brandy by L. N. Krikunova, S. M. Tomgorova, V. A. Zaharova

Get full text

Optimizing snow property forecasts over the tibetan plateau through hybrid assimilation of satellite precipitation and water vapor radiances using WRF model configured with Noah-MP by Jing Ren, Chunlin Huang, Jinliang Hou, Ying Zhang, Ling Yang

Get full text

Automation system for finding parking places by О. Napadii, N. Tsopa, Ye. Batrak

Get full text

THE LIMITS OF THE APPLICABILITY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE ADMINISTRATION OF CRIMINAL JUSTICE by RUDENKO D.A.

Get full text

Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

Get full text

Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization by Zhenda HU, Wenjin JIANG, Linyao ZHANG, Xiaodong YANG, Yichao ZOU, Kai WANG

Get full text

Optimization analysis of air cooled open cathode proton exchange membrane fuel cell flow channel structure by Zhijun Deng, Qingwei Wang, Xun Fang, Yaru Han, Kunxiang Liu, Chen Zhao

Get full text

Application of K-means supported by clustered systems in big data association rule mining by Lihua Liu

“…To this end, the study introduced a parallel frequent itemset mining technique, FiDoop DP, which used the MapReduce programming paradigm for data partitioning on Hadoop clusters and integrates an improved k-means++ algorithm for data preprocessing to provide better data processing results. …”
Get full text

Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification by Sebastian Putz, Jonathan Döttling, Tim Ballweg, Andre Tschöpe, Vitaly Biniyaminov, Matthias Franzreb

Get full text

Artificial intelligence in the diagnosis of endocrine disorders: A focus on diabetes and thyroid diseases by Kimi Milić Marko, Sinanović Šćepan, Prodović Tanja, Ilanković Tanja

“…At the same time, challenges such as ethical concerns, integration into clinical practice, and the need for data standardization are discussed. Future research should focus on optimizing algorithms and implementing them in real-world clinical settings.…”
Get full text

Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…The findings show that ML algorithms consistently outperform traditional models due to their capacity to handle large, non-linear datasets and continuously enhance predictive accuracy as new patterns emerge. …”
Get full text

Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…The aim of this study was to conduct a systematic analysis of current approaches to AI-powered video analytics, encompassing technological algorithms, legal constraints, and the social implications of their application. …”
Get full text

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients by Shuyun Xiong, Dongxu Si, Meizhu Ding, Cuiying Tang, Jinling Zhu, Danni Li, Ying Lei, Lexian Huang, Xiaohua Chen, Jicai Chen

“…Abstract Background Suicide poses a substantial public health challenge globally, with the elderly population being particularly vulnerable. Research into suicide risk factors among elderly inpatients with non-psychiatric disorders remains limited. …”
Get full text

Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

“…To enhance the optimization process, an innovative variant of the Shuffled Shepherd Optimization (SSO) algorithm, known as Enhanced Artificial Shuffled Shepherd Optimization (EASSO), is introduced. …”
Get full text

“Human – Social Robot” Interaction: Through Overcoming Barriers to Hybrid Communication by V. I. Ignatyev, K. I. Spiridonova

“…A nonobtrusive (unobtrusive) research method was applied, which excludes the contact of the researcher with the object of study. …”
Get full text

A surrogate approach to model groundwater level in time and space based on tree regressors by Pedro Martínez-Santos, Víctor Gómez-Escalonilla, Silvia Díaz-Alcaide, Manuel Rodríguez del Rosario, Héctor Aguilera

“…Protection of groundwater supplies requires tools to explore and understand the behavior of aquifers. This research presents a machine learning approach to predict groundwater levels in time and space based on tree regressors. …”
Get full text

A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

Get full text

Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

“…Abstract This research explores the application of fatty acid ethyl esters (FAEEs) in the pharmaceutical industry due to their biodegradable, renewable nature and versatility as excipients or drug delivery agents. …”
Get full text

Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

Get full text

Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

“…Using a list of known seed development proteins from the Gene Ontology (GO) knowledgebase and literature, novel candidate proteins for seed development were predicted using an ensemble of network-based algorithms, including Majority Voting, Hishigaki Algorithm, Functional Flow, and Random Walk with Restart, which were selected based on their popularity and usability. …”
Get full text