An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control by Mahmoud Dahmani (18810247)

“…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …”

A new estimator and approach for estimating the subpopulation parameters by Mohammad Salehi M. (21259490)

“…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”

Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem by Assaker, Guy

“…The research note is presented in two parts: Part A presents an overview of REBUS, including its development, algorithm, and its primary functions. …”
Get full text
Get full text
Get full text
Get full text

A machine learning approach for localization in cellular environments by Abdallah, Ali A.

“…This constitutes an improvement of 41%, 45%, and 16%, respectively, over the WKNN-only algorithm.…”
Get full text
Get full text
Get full text
Get full text

Deadline-based connection setup in wavelength-routed WDM networks by Fawaz, Wissam

“…As such, this paper presents a novel approach that uses the optical connection setup time as a service differentiator during connection provisioning. …”
Get full text
Get full text
Get full text

Robustness testing of composed real-time systems by Fouchal, Hacène

Get full text
Get full text
Get full text
Get full text

On the parameterized parallel complexity and the vertex cover problem by Abu-Khzam, Faisal N.

“…We initiate the study of FPPT with the well-known k-vertex cover problem. In particular, we present a parallel algorithm that outperforms the best known parallel algorithm for this problem: using O(m) instead of O(n2) parallel processors, the running time improves from 4logn+O(kk) to O(k⋅log3n) , where m is the number of edges, n is the number of vertices of the input graph, and k is an upper bound of the size of the sought vertex cover. …”
Get full text
Get full text
Get full text
Get full text

A 3-D vision-based man-machine interface for hand-controlled telerobot by Al-Mouhamed, M.A.

“…To determine the three-dimensional (3-D) position a tracking algorithm based on uncalibrated cameras with weak perspective projection model is used. …”
Get full text
Get full text

Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks by Haris M. Khalid (17017743)

“…To address this issue, a median regression function (MRF)-based state estimation is presented in this paper. The algorithm was stationed at each monitoring node using interacting multiple model (IMM)-based fusion architecture. …”

Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16810695)

“…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø⁴ scalar field theory. The algorithm is also applied for the resummation of the ground state energies of Ø⁴₀₊₁ andⁱ^س₀₊₁ scalar field theories. …”

A Software detector of the Wolff-Parkinson-White (WPW) Syndrome by Khoury, M.

“…This paper presents a software package that has been developed to help physicians in detecting the existence of the Wolff-Parkinson-White (WPW) syndrome in a patient and the location of the accessory pathway in the human heart using D'Avilla's and Iturralde's algorithms. …”
Get full text
Get full text
Get full text

Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

“…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
Get full text
Get full text
Get full text

A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…Promising results are achieved using both techniques, as presented in the Experimental Results Section. …”
Get full text

Recent advances on artificial intelligence and learning techniques in cognitive radio networks by Abbas, Nadine

Get full text
Get full text
Get full text
Get full text

Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism by Aisha Nasser J. M. Al-Saei (17885957)

“…We conclude that ASD diagnosis may be supported using an algorithm with features of plasma protein CML, CMA, 3DG-H and DT in 5–12 years-old children, and an algorithm with additional features applicable for ASD screening in younger children. …”

On Single Source Reachability Improvement by Alkak, Hashem

“…We show the NP­ hardness and present an effective polynomial-time greedy algorithm. …”
Get full text
Get full text
Get full text

Recovery of business intelligence systems by Haraty, Ramzi A.

“…The execution time of the recovery process is a crucial factor for measuring the performance because it is directly proportional to the denial of service time of any healthcare system. This paper presents a high performance damage assessment and recovery algorithm for e-healthcare systems. …”
Get full text
Get full text
Get full text
Get full text

A novel technique for fast multiplication by Sait, Sadiq M.

“…In this paper we present the design of a new high-speed multiplication unit. …”
Get full text

A pragmatic approach for testing robustness on real-time component based systems by Tarhini, Abbas

“…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …”
Get full text
Get full text
Get full text
Get full text

Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

“…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
Get full text
Get full text
Get full text