scispace - formally typeset
M

Mohammad Hossein Khosravi

Researcher at Baqiyatallah University of Medical Sciences

Publications -  113
Citations -  20808

Mohammad Hossein Khosravi is an academic researcher from Baqiyatallah University of Medical Sciences. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 16, co-authored 82 publications receiving 13907 citations. Previous affiliations of Mohammad Hossein Khosravi include Tehran University of Medical Sciences & Iran University of Medical Sciences.

Papers
More filters
Journal ArticleDOI

Quantity and Quality of Vision Using Tinted Filters in Patients with Low Vision Due to Diabetic Retinopathy.

TL;DR: Tinted filters are able to rehabilitate low-vision patients due to diabetic retinopathy and improved contrast sensitivity and the 527 ± 10 nm filter improved VA to some extent.
Proceedings ArticleDOI

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis

TL;DR: An LSTM deep learning-network-based approach is implemented for seizure detection and compared with state-of-the-art methods, achieving 96.5% accuracy in seizure-nonseizure EEG signal classification.
Journal ArticleDOI

Energy Efficiency Strategy for Big Data in Cloud Environment Using Deep Reinforcement Learning

TL;DR: A visionary architecture in a cloud environment for big data with a proposed energy-efficient strategy based on LSTM-DQN (long-short-term memory-deep Q network) using reinforcement learning (RL).
Journal ArticleDOI

Vitamin D and Viral Hepatitis: The New Issue in Pathogenesis and Outcomes

TL;DR: Searching the term “vitamin D” in a database like PubMed results in about 80 000 articles and shows that the number of submitted articles has raised exponentially in recent years, indicating that new roles for vitamin D in the body have been proven inRecent years.
Journal ArticleDOI

An Energy-Efficient Event Reliability Protocol for Wireless Communication Networks

TL;DR: In this article , the authors proposed an analysis model to evaluate the reliability of wireless sensor networks and proposed a reliability technique for events, which has been simulated, analyzed and compared with the already-published algorithms, namely BaseModel, SWIA, and ERP techniques.