Artificial intelligence in breast oncology by Alexander Mundinger

“…Abstract Artificial intelligence (AI) is based on complex artificial neural networks, characterized by layered network architecture, parallel processing of large data sets and iterative algorithms for processing large data sets. …”
Get full text

MolNexTR: a generalized deep learning model for molecular image recognition by Yufan Chen, Ching Ting Leung, Yong Huang, Jianwei Sun, Hao Chen, Hanyu Gao

“…We further incorporate a series of advanced algorithms, including an improved data augmentation module, an image contamination module, and a post-processing module for getting the final SMILES output. …”
Get full text

Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

“…The opioid drug overdose death rate remains a significant public health crisis in the U.S., where an opioid epidemic has led to a dramatic rise in overdose deaths over the past two decades. …”
Get full text

Practical Aspects of Using Artificial Intelligence Programs in the Analytical Work of the Department by Chupryna Leonid

“…Data from surveys of scientists about the impact of artificial intelligence on such areas of life as scientific, creative activity, and content creation are provided. …”
Get full text

‌Rockburst intensity grading prediction based on the LOF-ENN-KNN model‌ by Haoran Ge, Jiyong Zhang, Congbo Ma, Kai Hui, Yicong Li, Ziniu Wu

“…The model achieves a breakthrough in prediction performance through a three-level progressive processing architecture: noise samples are effectively eliminated by LOF (Local Outlier Factor), category distribution is optimized by ENN (Edited Nearest Neighbour), and high-precision prediction is finally achieved by KNN(K-Nearest Neighbors).In the rockburst database composed of 299 sets of measured data in the world, the LOF-ENN-KNN model shows significant advantages: its overall accuracy rate is 98.93%,which has an overwhelming advantage over the traditional model. …”
Get full text

AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…Advanced technologies, notably camera-based systems using remote photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively monitor driver well-being and fatigue by measuring physiological metrics like heart and respiration rates. This review examines recent advancements in machine learning algorithms and signal processing for rPPG in driver monitoring. …”
Get full text

The substantiation of the parameters of an unmanned system for automated monitoring of animals on pasture by V. A. Shigimaga, R. A. Faysullin, A. S. Osokina

“…The data are transmitted to the main point of receiving information for processing it on a PC and giving recommendations to specialists (veterinarians, zootechnicians, etc.). …”
Get full text

Research on Construction and Updating of Global Grid Maps in Mining Truck Autonomous Driving Scenarios by DENG Chao, LONG Teng, YUAN Xiwen, LI Cheng

“…However, current autonomous driving maps for mining trucks rely on manual data collection, resulting in delays and inefficiencies. …”
Get full text

Clinical course and response to treatment of Cuban patients with primary biliary cholangitis. Institute of Gastroenterology, 2003-2020 by Deyanira La Rosa Hernández, Freddy José Jiménez Peña, Marlen Ivón Castellanos Fernández, Mirtha Infante Velázquez, Zaily Dorta Guridi, Yusimik Román Martínez

“…Demographic, clinical, biochemical and histological variables were evaluated from the data of medical records. For data processing, the statistical package SPSS version 21,0 was used. …”
Get full text

Optical OTFS waveform PAPR analysis for high order modulation employing CNN, DNN, and AE machine learning algorithms under a variety of channel scenarios by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The results are significant for future optical wireless networks, where high data rates must be sustained and nonlinear distortion minimized.…”
Get full text

Monitoring Fast-Growing Megacities in Emerging Countries Through the PS-InSAR Technique: The Case of Addis Ababa, Ethiopia by Eyasu Alemu, Mario Floris

“…The increasing availability of SAR data acquired by the Sentinel-1 mission around the world and the refinement of processing techniques that have taken place in recent years allow one to identify and monitor the critical conditions deriving from the impressive recent expansion of megacities such as Addis Ababa. …”
Get full text

Adaptive Scheduling in Cognitive IoT Sensors for Optimizing Network Performance Using Reinforcement Learning by Muhammad Nawaz Khan, Sokjoon Lee, Mohsin Shah

“…These sensors frequently create massive amounts of data with many redundant and repeating bit values. …”
Get full text

Review on the recent trends of food dryer technologies and optimization methods of drying parameters by Dawit Andualem Asrate, Addisu Negash Ali

“…Additionally, theoretical, semi-empirical, and empirical thin-layer models are discussed as effective methods for accurately fitting drying process data. Achieving high-quality dried products requires maintaining uniform airflow distribution within the dryer and optimizing key parameters such as drying temperature, moisture content, drying rate, drying time, and airflow speed. …”
Get full text

Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop by Ali Rospawan, Ching-Chih Tsai, Chi-Chih Hung

“…This work advances intelligent control systems, offering a robust solution for environments with sequential data and uncertainties.…”
Get full text

Determining the Amount of Earthquake Displacement Using Differential Synthetic Aperture Radar Interferometry (D-InSAR) and Satellite Images of Sentinel-1 A: A Case Study of Sarpol-... by Jacob Cherian

“…This study aimed to determine the trend and rate of land surface changes in the Sarpol-e Zahab earthquake using Sentinel-1 A and D-InSAR methods. …”
Get full text

OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances by Simon Blessing, Ralf Giering, Christiaan van der Tol

“…For this demonstration, single observation data from the Sentinel-3 SY_2_SYN (synergy) product is used. …”
Get full text

POPULATION STUDY OF QUALITY OF LIFE OF THE INHABITANTS OF DAKHADAEV DISTRICT OF REPUBLIC OF DAGESTAN by G. M. Abdurakhmanov, P. A. Bekshokova, P. I. Gabibova

“…Data was collected by questionnaire on the basis of direct survey respondents.Statistical processing of the data obtained from surveys of the quality of life based on the general principles of statistics and conductedusing the package of applied programs STATISTICA and Excel.Results.Population quality of life of the residents in some rural settlements in Dakhadaev district of Republic of Dagestan were received. …”
Get full text

3D printing of a high-performance composite solid-state electrolyte with enhanced ionic conductivity and mechanical properties by Zhantong Tu, Kaiqi Chen, Jiating Zheng, Sijie Liu, Bing Lei, Xin Wu

“…Polymer electrolytes exhibit advantageous processing characteristics and superior mechanical properties, making them highly promising for all-solid-state lithium battery applications. …”
Get full text

Radiometric Characterization of Pandeiros River Basin (Minas Gerais - Brazil) by Lucas Daniel Cunha de Paula, Rubens Martins Moreira, Cláudio José Chagas, Carlos Alberto de Carvalho Filho, Eduardo Duarte Marques, Fernando Machado de Mello

“…Data processing included Geographic Information Systems (GIS), R programming language, and MS Excel. …”
Get full text

Application of Multimodal Anesthesia in Surgical Interventions for Lung Cancer by S. V. Kachur, V. T. Dolgikh, O. V. Korpacheva, O. V. Leonov

“…Pain intensity was assessed by the visual analog scale. Data processing was carried out using Microsoft Exсel 2000, STATISTICA6.0 and Biostat software. …”
Get full text