An efficient employment of internet of multimedia things in smart and future agriculture

S AlZu'bi, B Hawashin, M Mujahed, Y Jararweh… - Multimedia Tools and …, 2019 - Springer
Efficiently managing the irrigation process has become necessary to utilize water stocks due
to the lack of water resources worldwide. Parched plant leads into hard breathing process …

A hybrid active contour model based on pre-fitting energy and adaptive functions for fast image segmentation

P Ge, Y Chen, G Wang, G Weng - Pattern Recognition Letters, 2022 - Elsevier
In this study, a hybrid active contour model driven by pre-fitting energy with an adaptive
edge indicator function and an adaptive sign function is proposed. The key idea of …

Parallel implementation for 3d medical volume fuzzy segmentation

S AlZu'bi, M Shehab, M Al-Ayyoub, Y Jararweh… - Pattern Recognition …, 2020 - Elsevier
In the past, 2D models were the main models for medical image processing applications,
whereas the wide adoption of 3D models has appeared only in recent years. The 2D Fuzzy …

Efficient 3D medical image segmentation algorithm over a secured multimedia network

S Al-Zu'bi, B Hawashin, A Mughaid, T Baker - Multimedia Tools and …, 2021 - Springer
Image segmentation has proved its importance and plays an important role in various
domains such as health systems and satellite-oriented military applications. In this context …

Data fusion in autonomous vehicles research, literature tracing from imaginary idea to smart surrounding community

S AlZu'bi, Y Jararweh - … Conference on Fog and Mobile Edge …, 2020 - ieeexplore.ieee.org
Many significant challenges related to transportation systems have been raised recently,
these include the high accidents rate, road congestion, emission of gases, and environment …

Multi-orientation geometric medical volumes segmentation using 3d multiresolution analysis

S AlZu'bi, Y Jararweh, H Al-Zoubi, M Elbes… - Multimedia Tools and …, 2019 - Springer
Medical images have a very significant impact in the diagnosing and treating process of
patient ailments and radiology applications. For many reasons, processing medical images …

Computer vision based skin disorder recognition using EfficientNet: A transfer learning approach

RH Hridoy, F Akter, A Rakshit - 2021 International conference …, 2021 - ieeexplore.ieee.org
Skin disorders have a vital impact on people's health and quality of life, it is essential to
develop a reliable and accurate computer vision approach to recognize multiple skin …

Recent intelligent approaches for managing and optimizing smart blood donation process

S AlZu'bi, D Aqel, A Mughaid - 2021 International Conference …, 2021 - ieeexplore.ieee.org
The immediate availability of blood can save other lives in case of emergency needs. Blood
transfusion is a continuous demand, as it is widely required for many medical surgeries and …

Transferable hmm trained matrices for accelerating statistical segmentation time

S AlZu'bi, S Al-Qatawneh… - 2018 fifth international …, 2018 - ieeexplore.ieee.org
Segmentation problem has been solved in the last decade, many techniques have been
implemented to discover this issue. Many problems arise during the segmentation process …

An efficient cold start solution for recommender systems based on machine learning and user interests

B Hawashin, S Alzubi, A Mughaid… - … on software defined …, 2020 - ieeexplore.ieee.org
Recommender Systems are used to provide suggestions to users based on their interests.
One of the well-known problems in recommender systems is the cold start problem, which …