User profiles for Mohammad Al Sa’d
Mohammad Al-Sa'dFaculty of Medicine, Department of Neuroscience, University of Helsinki, Helsinki, Finland Verified email at helsinki.fi Cited by 407 |
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and prevented. …
technical, security, and public safety issues that need to be addressed, regulated and prevented. …
[PDF][PDF] Clonal decomposition and DNA replication states defined by scaled single-cell genome sequencing
Accurate measurement of clonal genotypes, mutational processes, and replication states
from individual tumor-cell genomes will facilitate improved understanding of tumor evolution. …
from individual tumor-cell genomes will facilitate improved understanding of tumor evolution. …
[HTML][HTML] DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
Modern technology has pushed us into the information age, making it easier to generate
and record vast quantities of new data. Datasets can help in analyzing the situation to give a …
and record vast quantities of new data. Datasets can help in analyzing the situation to give a …
A GPU-based implementations of the fuzzy C-means algorithms for medical image segmentation
…, AM Abu-Dalo, Y Jararweh, M Jarrah, MA Sa'd - The Journal of …, 2015 - Springer
Fuzzy clustering is one of the most popular techniques in medical image segmentation. The
fuzzy C-means (FCM) algorithm has been widely used as it provides better performance and …
fuzzy C-means (FCM) algorithm has been widely used as it provides better performance and …
Risk assessment of soil erosion in semi-arid mountainous watershed in Saudi Arabia by RUSLE model coupled with remote sensing and GIS
J Mallick, Y Alashker, SAD Mohammad… - Geocarto …, 2014 - Taylor & Francis
… Considering the objectives of the present study, Anderson et al. (Citation1976), LULC
classification scheme have been adopted as follows: built-up land, dense vegetation (forest), …
classification scheme have been adopted as follows: built-up land, dense vegetation (forest), …
An enhanced framework for aspect-based sentiment analysis of Hotels' reviews: Arabic reviews case study
ALS Mohammad, O Qwasmeh… - 2016 11th …, 2016 - ieeexplore.ieee.org
… To the best of our knowledge, the earliest work on Arabic SA was done in 2006, in which the
authors developed an automatic SA on financial news (Arabic and Chinese) using a syntax-…
authors developed an automatic SA on financial news (Arabic and Chinese) using a syntax-…
Enhancing the determination of aspect categories and their polarities in arabic reviews using lexicon-based approaches
…, M Al-Ayyoub, AS Mohammad… - 2015 IEEE Jordan …, 2015 - ieeexplore.ieee.org
… This work focuses on the less studied version of SA, which is aspect-based SA (ABSA)
for the Arabic language. Specifically, this work considers two ABSA tasks: aspect category …
for the Arabic language. Specifically, this work considers two ABSA tasks: aspect category …
[HTML][HTML] Induction of Systemic Resistance in Maize and Antibiofilm Activity of Surfactin From Bacillus velezensis MS20
…, S Haque, AR Mohammad Al Tawaha… - Frontiers in …, 2022 - frontiersin.org
Surfactin lipopeptide is an eco-friendly microbially synthesized bioproduct that holds
considerable potential in therapeutics (antibiofilm) as well as in agriculture (antifungal). In the …
considerable potential in therapeutics (antibiofilm) as well as in agriculture (antifungal). In the …
Enhancing Arabic aspect-based sentiment analysis using deep learning models
Aspect-based sentiment analysis is a special type of sentiment analysis that aims to identify
the discussed aspects and their sentiment polarities in a given review. In this paper, two …
the discussed aspects and their sentiment polarities in a given review. In this paper, two …
[HTML][HTML] Growth and nitrogen fixation in silicon and/or potassium fed chickpeas grown under drought and well watered conditions
K Fawaz, AC Mohammad - Journal of Stress Physiology & …, 2013 - cyberleninka.ru
A pot experiment was conducted to study the effects of silicon (Si) and/or potassium (K) on
plant growth, nitrogen uptake and N 2-fixation in water stressed (FC1) and well watered (FC2) …
plant growth, nitrogen uptake and N 2-fixation in water stressed (FC1) and well watered (FC2) …