Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

Get full text
Get full text
Get full text

Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

“…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, controlled environments are required, and the use of synthetic datasets offers significant advantages. …”
Get full text

Fault-Tolerant Network Topologies for Datacenters by Attia, Heba Mahmoud Helal

Get full text

Digital Image Watermarking Using Balanced Multiwavelets by Ghouti, L.

“…In this paper, a robust watermarking algorithm using balanced multiwavelet transform is proposed. …”
Get full text

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations by Shameem A. Puthiya Parambath (14150997)

“…CIP can be used in conjunction with relevance ranking metrics like NDCG and MAP to measure the effectiveness of the cold-start recommendation algorithm.</p><h2>Other Information</h2> <p> Published in: Data Mining and Knowledge Discovery<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10618-020-00708-6" target="_blank">http://dx.doi.org/10.1007/s10618-020-00708-6</a></p>…”

Modeling and Control of Nonlinear Systems Using Wavelet Networks by Hassouneh, Wissam

Get full text

“Adaptive Control Technique Using Multilayer Feedforward Neural Networks” by Al-Duwaish, H.

“…An adaptation algorithm to adjust the connection weights of the neural network has been derived. …”
Get full text

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

Correlation Clustering with Overlaps by Fakhereldine, Amin

“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
Get full text
Get full text
Get full text

Efficiency Optimization of a Standalone Solar Energy System using Fuzzy Based MPPT by Al Nabulsi, Ahmad

Get full text

A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

“…A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …”
Get full text

Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

Get full text

Using Fractional Bernoulli Wavelets for Solving Fractional Diffusion Wave Equations with Initial and Boundary Conditions by Sahlan, Monireh Nosrati

Get full text

Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm by Elhiny, Lamees

Get full text

Using out-of-core techniques to produce exact solutions to the maximum clique problem on extremely large graphs by Abu-Khzam, Faisal N.

“…Parallelizing the search within these components is instrumental in improving the running times of the algorithms.…”
Get full text
Get full text
Get full text
Get full text

Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

“…The latter is trained using the gradient descent algorithm allowing to iteratively update the term-category matrix until reaching convergence. …”
Get full text
Get full text
Get full text
Get full text

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

“…Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the data-set. Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. …”

QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning by Md Nazmul Islam Shuzan (21842426)

“…Blood glucose was estimated, and diabetic severity (normal, warning, and dangerous) was stratified using Mel frequency cepstral coefficients, time, frequency, and statistical features from PPG and their derivative signals along with physiological parameters. …”

Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data by Arfan Ahmed (17541309)

“…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …”

A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities by Muhammad Mazhar Rathore (17051745)

“…In this paper, we proposed a transport-control model that exploits cyber-physical systems (CPS) and sensor-technology to continuously monitor and mine the big city data for smart decision-making. …”