[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization

SJ Hashmi, B Alabdullah, N Al Mudawi, A Algarni… - Sensors, 2024 - mdpi.com
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …

A Review Of TextMining Techniques: Trends, and Applications In Various Domains

HJ Aleqabie, MS Sfoq… - Iraqi Journal for …, 2024 - ijcsm.researchcommons.org
Text mining, a subfield of natural language processing (NLP), has received considerable
attention in recent years due to its ability to extract valuable insights from large volumes of …

Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis

S Tasneem, AA Ageeli, WM Alamier, N Hasan… - International Journal of …, 2024 - Elsevier
Hydrogen production from the electrolysis of wastewater is an environmentally friendly and
highly efficient process. The performance of this process for instant noodle wastewater is …

A fair and safe usage drug recommendation system in medical emergencies by a stacked ANN

U Bhimavarapu, N Chintalapudi, G Battineni - Algorithms, 2022 - mdpi.com
The importance of online recommender systems for drugs, medical professionals, and
hospitals is growing. Today, the majority of people use online consultations for drug …

[HTML][HTML] Technology-driven transformations in agri-food global value chains: The role of incumbent firms from a corporate venture capital perspective

P Mac Clay, R Feeney, J Sellare - Food Policy, 2024 - Elsevier
Agri-food global value chains (GVCs) are failing to provide healthy and affordable diets
within planetary boundaries. Many cutting-edge technologies are being developed to …

Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine

G Battineni, N Chintalapudi, G Ricci, C Ruocco… - Artificial Intelligence …, 2024 - Springer
This narrative literature review has analyzed the integration of artificial intelligence (AI) and
augmented reality (AR) in the field of maritime medicine. A comprehensive search was …

[HTML][HTML] Tigris River water surface quality monitoring using remote sensing data and GIS techniques

W Ahmed, S Mohammed, A El-Shazly… - The Egyptian Journal of …, 2023 - Elsevier
Remote sensing and GIS technologies help in decision-making processes to reduce
pollution and treatment time. In this study, we aim to investigate using remote sensing data …

Comparison of MRI sequences to predict ATRX status using radiomics-based machine learning

NG Nacul Mora, BH Akkurt, D Kasap, D Blömer… - Diagnostics, 2023 - mdpi.com
ATRX is an important molecular marker according to the 2021 WHO classification of adult-
type diffuse glioma. We aim to predict the ATRX mutation status non-invasively using …

Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer

J Xu, S Hu, Q Chen, L Shu, P Wang, J Wang - Scientific Reports, 2023 - nature.com
In recent years, molecular and genetic research hotspots of gastric cancer have been
investigated, including microRNAs, long noncoding RNAs (lncRNAs) and messenger RNA …

Machine learning modeling of reversible thermochemical reactions applicable in energy storage systems

S Tasneem, HS Sultan, AA Ageeli, H Togun… - Journal of the Taiwan …, 2023 - Elsevier
Background Heat/cooling generation through reversible thermochemical reactions provides
high potential for application in thermochemical energy storage systems. However …