User profiles for Safwan R. Wshah
 | Safwan R WshahAssistant Professor at University of Vermont Verified email at uvm.edu Cited by 962 |
A machine learning approach to identification of unhealthy drinking
Introduction: Unhealthy drinking is prevalent in the United States, and yet it is
underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and …
underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and …
[PDF][PDF] A Robust Algorithm for Face Detection in Color Images Based on Color Segmentation and Neural Network Techniques
SR Wshah, IM Mansour - Dirasat, Engineering Sciences, 2006 - researchgate.net
Human face detection plays an important role in applications such as biometric identification,
video conferencing, intelligent human computer interface, face image database …
video conferencing, intelligent human computer interface, face image database …
Automated Identification of Unhealthy Drinking Using Routinely Collected Data: A Machine Learning Approach
Background: Unhealthy drinking is prevalent in the United States and can lead to serious
health and social consequences, yet it is under-diagnosed and under-treated. Identifying …
health and social consequences, yet it is under-diagnosed and under-treated. Identifying …
[HTML][HTML] Learning the state-of-charge of heterogeneous fleets of distributed energy resources with temporal residual networks
With increased use of renewable energy such as wind and solar, electric power generation
is experiencing increased variability and uncertainty, which drives larger imbalances …
is experiencing increased variability and uncertainty, which drives larger imbalances …
AMPGAN v2: machine learning-guided design of antimicrobial peptides
… We quantified this by computing the R 2 score over batches of generated sequences and …
for variation between the requirement of R 2 = 0.5 and the ideal value of R 2 = 1.0. Despite the …
for variation between the requirement of R 2 = 0.5 and the ideal value of R 2 = 1.0. Despite the …
[HTML][HTML] Transformer-based deep learning model for forced oscillation localization
Accurately locating Forced Oscillations (FOs) source(s) in a large-scale power system is a
challenging task, and an important aspect of power system operation. In this paper, a …
challenging task, and an important aspect of power system operation. In this paper, a …
Script independent word spotting in offline handwritten documents based on hidden markov models
Keyword spotting aims to retrieve all instances of a given keyword from a document in any
language. In this paper, we propose a novel script independent line based word spotting …
language. In this paper, we propose a novel script independent line based word spotting …
[HTML][HTML] Detection and mitigation of gps spoofing attacks on phasor measurement units using deep learning
… phase shift submatrix R which can be determined for a specific time delay as: (8) R = cos
Δ … R M S E is also employed to quantify the accuracy of the state estimates obtained by …
Δ … R M S E is also employed to quantify the accuracy of the state estimates obtained by …
Statistical script independent word spotting in offline handwritten documents
We propose a statistical script independent line based word spotting framework for offline
handwritten documents based on Hidden Markov Models. We propose and compare an …
handwritten documents based on Hidden Markov Models. We propose and compare an …
Segmentation of Arabic handwriting based on both contour and skeleton segmentation
S Wshah, Z Shi, V Govindaraju - 2009 10th International …, 2009 - ieeexplore.ieee.org
We propose a new algorithm for segmentation of off-line handwritten Arabic words. The
algorithm segments the connected letters to smaller segments each of which contains no more …
algorithm segments the connected letters to smaller segments each of which contains no more …