A fingerprint technique for indoor localization using autoencoder based semi-supervised deep extreme learning machine

ZE Khatab, AH Gazestani, SA Ghorashi, M Ghavami - Signal Processing, 2021 - Elsevier
In recent years, because of the growing demand for location based services in indoor
environment and development of Wi-Fi, fingerprint-based indoor localization has attracted …

[PDF][PDF] Prediction modeling of Alzheimer's disease and its prodromal stages from multimodal data with missing values

M Aghili, S Tabarestani, C Freytes, M Shojaie… - International Journal of …, 2019 - cake.fiu.edu
A major challenge in medical studies, especially those that are longitudinal, is the problem
of missing measurements which hinders the effective application of many machine learning …

SignCol: Open-Source Software for Collecting Sign Language Gestures

M Eslami, M Karami, S Tabarestani… - 2018 IEEE 9th …, 2018 - ieeexplore.ieee.org
Sign (ed) languages use gestures, such as hand or head movements, for communication.
Sign language recognition is an assistive technology for individuals with hearing disability …