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

A Fuzzy Low-Dimensional Intersection Graph Representation Approach for Graph Compression and Anonymization by Yamout, Youssef

“…The large amount of data represented as a network, or graph, sometimes exceeds the resources of a conventional computing device. …”
Get full text
Get full text
Get full text

Optimal Management of Mobile Energy Generation and Storage Systems by Samara, Sarra Mahmoud

Get full text

A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

Get full text
Get full text

An Adapted Load-Balancing implementation for Sharded Blockchains by Daou, David Halim

Get full text
Get full text
Get full text

A dynamically turbo-charged heuristic for graph coloring. (c2018) by Chahine, Bachir

Get full text
Get full text
Get full text

Target Detection Using Learning Methods by Sahnoon, Mohammad Moufeed

Get full text

Distributed optimal coverage control in multi-agent systems: Known and unknown environments by Mohammadhasan Faghihi (22303057)

“…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …”

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering by Saadia Jamil (22045946)

“…A self-organizing map is one of the well-known unsupervised neural network algorithms used for preserving typologies during mapping from the input space (high-dimensional) to the display (low-dimensional).An algorithm called Local Adaptive Receptive Field Dimension Selective Self-Organizing Map 2 is a modified form of a self-organizing Map to cater different data types in the dataset. …”

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

“…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …”
Get full text

Simultaneous stabilisation of power systems using geneticalgorithms by Abdel-Magid, Y.L.

“…The problem of selecting the parameters of a power system stabiliser which simultaneously stabilises this set of plants is converted to a simple optimisation problem which is solved by a genetic algorithm and an eigenvalue-based objective function. …”
Get full text
Get full text

Repeat Inspection Planning Using Dynamic Programming by Elshafei, M.

Get full text

Repeat Inspection Planning Using Dynamic Programming by Duffuaa, S. O.

Get full text

Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers by Hamidreza Besharatifard (16904823)

“…<p dir="ltr">This paper addresses the localization of Partial Discharge through a 3D Finite Element Method analysis of acoustic wave propagation inside a 3-phase 35kV transformer with the help of COMSOL Multiphysics software. …”

Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE by Mathew, Elezabeth

“…Various descriptive, diagnostic, predictive, and prescriptive analysis is done on the e-procurement data. The deep learning model developed can perform thousands of routine and, repetitive tasks within a fairly short period compared to what it would take for a human being without any compromise on the quality of work. …”
Get full text

Using machine learning for disease detection. (c2013) by Jreij, Georges Antoun

Get full text
Get full text

An easy-to-use scalable framework for parallel recursive backtracking by Abu-Khzam, Faisal N.

“…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
Get full text
Get full text
Get full text

The use of configurable computing for computational kernels in scientific simulations by Jones, Mark

“…We present algorithms and analysis for two such kernels: fast, problem-specific multipliers and the efficient evaluation of Taylor series. …”
Get full text
Get full text
Get full text

Plant disease detection using drones in precision agriculture by Ruben Chin (17725986)

“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”

Transmission Line Fault Location Using Unsynchronized Measurements by Hussain, Shoaib

Get full text