Qasem Abu Al-Haija
Tennessee State University
124 Papers
118 Citations
Qasem Abu Al-Haija is an academic researcher from Tennessee State University. The author has contributed to research in topics: Computer science & Intrusion detection system. The author has an hindex of 6, co-authored 46 publications. Previous affiliations of Qasem Abu Al-Haija include King Faisal University & Petra University.
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Papers
Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs
TL;DR: In this paper , the authors proposed a novel sink mobility model based on constructing a bipartite graph from a deployed wireless sensor network, which can significantly enhance the performance of wireless sensor networks while conserving the energy of the sensor nodes.
Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification
Rawan Ghnemat,Sawsan Alodibat,Qasem Abu Al-Haija +2 more
TL;DR: This study introduces an explainable AI model for medical image classification to enhance the interpretability of the decision-making process and offers a more interpretable and transparent AI model that can enhance the accuracy and efficiency of medical diagnosis.
11
A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks
TL;DR: In this paper , a self-configurable neural network model was proposed to detect and classify broken rotor bars in induction motors (BRBs) using multi-class datasets from two three-phase, 400V induction motors; two poles, 50 Hz, 24 stator slots and with 20,29 and 32 rotor bars numbers (M24Ns,(20,29,32)Nb), and 2.2kW, four poles, 60 Hz, 36 stators slots with 28 and 44 rotor bars number (M36Ns, (28,44) Nb).
10
Ischemic Stroke Lesion Segmentation Using Mutation Model and Generative Adversarial Network
TL;DR: In this article , a mutation model using a distance map is integrated into the generative adversarial network (GAN) to generate a synthetic dataset, where the Euclidean distance is used to compute the average distance of each pixel with its neighbor in the right and bottom directions.
Design and on-field testing of wireless sensor network-based air quality monitoring system
Qasem Abu Al-Haija
- 30 Sep 2019
TL;DR: Testing the proposed WSN-based air quality monitoring system outdoor and indoor showed efficient real-time readings for the concentrations of carbon dioxide and total volatile organic compounds and provided data about ambient temperature, relative humidity and air pressure with good accuracy.