154 citations
- King Abdullah University of Science and TechnologySA6 papers
- California Institute of TechnologyUS3 papers
- Asia UniversityTW2 papers
- Deakin UniversityAU2 papers
- International Burch UniversityBA2 papers
- Islamic Azad University, MashhadIR2 papers
- Islamic Azad University, Science and Research BranchIR2 papers
- Ngee Ann PolytechnicSG2 papers
- Singapore University of Social SciencesSG2 papers
- Universidad de GranadaES2 papers
- University of TurkuFI2 papers
- American University of ArmeniaAM1 paper
15 papers
FinAgent: An Agentic AI Framework Integrating Personal Finance and Nutrition Planning
Toqeer Ali Syed, Abdulaziz Alshahrani, Ali Ullah +4
The issue of limited household budgets and nutritional demands continues to be a challenge especially in the middle-income environment where food prices fluctuate. This paper intro…
Thematic Dispersion in Arabic Applied Linguistics: A Bibliometric Analysis using Brookes' Measure
Ayman Eddakrouri, Amani Ramadan
This study applies Brookes' Measure of Categorical Dispersion (Δ) to analyze the thematic structure of contemporary Arabic Applied Linguistics research. Using a comprehensive, real…
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari +11
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits a…
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An Overview
Sara Helal, Hadi Sarieddeen, Hayssam Dahrouj +2
Following the recent progress in Terahertz (THz) signal generation and radiation methods, joint THz communications and sensing applications are shaping the future of wireless syste…
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1
Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…