Moein Razavi
YOU?
Author Swipe
View article: Quantifying Mental Stress Using Cardiovascular Responses: A Scoping Review
Quantifying Mental Stress Using Cardiovascular Responses: A Scoping Review Open
(1) Background: Physiological responses, such as heart rate and heart rate variability, have been increasingly utilized to monitor, detect, and predict mental stress. This review summarizes and synthesizes previous studies which analyzed t…
View article: Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review
Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review Open
Background Mental stress and its consequent mental health disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there is potential to harness computational techniques for better understandi…
View article: Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review (Preprint)
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review (Preprint) Open
BACKGROUND Mental stress and its consequent mental disorders (MDs) constitute a significant public health issue. With the advent of machine learning (ML), there's potential to harness computational techniques for better understanding and …
View article: Evaluating Mental Stress Among College Students Using Heart Rate and Hand Acceleration Data Collected from Wearable Sensors
Evaluating Mental Stress Among College Students Using Heart Rate and Hand Acceleration Data Collected from Wearable Sensors Open
Stress is various mental health disorders including depression and anxiety among college students. Early stress diagnosis and intervention may lower the risk of developing mental illnesses. We examined a machine learning-based method for i…
View article: Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review
Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress and Stress-related Mental Disorders: A Scoping Review Open
Background: Mental stress and its consequent mental disorders (MDs) are significant public health issues. With the advent of machine learning (ML), there's potential to harness computational techniques for better understanding and addressi…
View article: Reducing risk habituation to struck-by hazards in a road construction environment using virtual reality behavioral intervention
Reducing risk habituation to struck-by hazards in a road construction environment using virtual reality behavioral intervention Open
Repeated exposure to hazards in road construction work zones often generates worker habituation to risks associated with those hazards, a key factor in workplace accidents. Understanding the developmental process of risk habituation and pr…
View article: Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning Open
View article: An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic
An Automatic System to Monitor the Physical Distance and Face Mask Wearing of Construction Workers in COVID-19 Pandemic Open
View article: SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware.
SIMCNN - Exploiting Computational Similarity to Accelerate CNN Training in Hardware. Open
Convolution neural networks (CNN) are computation intensive to train. It consists of a substantial number of multidimensional dot products between many kernels and inputs. We observe that there are notable similarities among the vectors ex…
View article: MERCURY: Accelerating DNN Training By Exploiting Input Similarity
MERCURY: Accelerating DNN Training By Exploiting Input Similarity Open
Deep Neural Networks (DNN) are computationally intensive to train. It consists of a large number of multidimensional dot products between many weights and input vectors. However, there can be significant similarity among input vectors. If …
View article: A Self-rescue Mechanism for an In-pipe Robot for Large Obstacle Negotiation in Water Distribution Systems
A Self-rescue Mechanism for an In-pipe Robot for Large Obstacle Negotiation in Water Distribution Systems Open
Water distribution systems (WDS) carry potable water with millions of miles of pipelines and deliver purified water to residential areas. The incidents in the WDS cause leak and water loss, which imposes pressure gradient and public health…
View article: OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments
OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments Open
Background: The human mind is multimodal. Yet most behavioral studies rely on century-old measures such as task accuracy and latency. To create a better understanding of human behavior and brain functionality, we should introduce other mea…
View article: Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning Open
The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported high number of positive cases a…
View article: Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning Open
The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported high number of positive cases a…
View article: Analyzing the Factors Affecting the COVID-19 Risk Level in the US Counties
Analyzing the Factors Affecting the COVID-19 Risk Level in the US Counties Open
The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported an extremely high number of pos…
View article: Smart Navigation for In-pipe Robots with Multi-phase Motion Control and Particle Filter
Smart Navigation for In-pipe Robots with Multi-phase Motion Control and Particle Filter Open
In-pipe robots are promising solutions for condition assessment, leak detection, water quality monitoring in a variety of other tasks in pipeline networks. Smart navigation is an extremely challenging task for these robots as a result of h…
View article: An Automatic System to Monitor the Physical Distance and Face Mask\n Wearing of Construction Workers in COVID-19 Pandemic
An Automatic System to Monitor the Physical Distance and Face Mask\n Wearing of Construction Workers in COVID-19 Pandemic Open
The COVID-19 pandemic has caused many shutdowns in different industries\naround the world. Sectors such as infrastructure construction and maintenance\nprojects have not been suspended due to their significant effect on people's\nroutine l…
View article: Localization, Mapping, Navigation, and Inspection Methods in In-Pipe Robots: A Review
Localization, Mapping, Navigation, and Inspection Methods in In-Pipe Robots: A Review Open
Pipelines are backbone of the transportation of gases and liquids such as oil, gasoline, water, and sewage. However, pipelines are constantly aging and sustaining damage, which may result in significant resource loss and environmental cont…
View article: Multimodal-Multisensory Experiments: Design and Implementation
Multimodal-Multisensory Experiments: Design and Implementation Open
The human mind is multimodal. Yet most behavioral studies rely on century-old measures of behavior - task accuracy and latency (response time). Multimodal and multisensory analysis of human behavior creates a better understanding of how th…
View article: Multimodal-Multisensory Experiments
Multimodal-Multisensory Experiments Open
The human mind is multimodal. Yet most behavioral studies rely on century-old measures of behavior—task accuracy and latency (response time). Multimodal and multisensory analysis of human behavior creates a better understanding of how the …