A hybrid graph representation for exact graph algorithms by Abu-Khzam, Faisal N.

“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
Get full text
Get full text
Get full text

GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”

Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems by Raka Jovanovic (17947838)

“…On top of this, we propose a new structure that is based on graph isomorphism networks. Computational experiments show that this new structure is significantly more efficient than basic structures. …”

On the disk dimension of planar graphs by Abu-khzam, Faisal

“…More significantly, we devise a direct and highly practical linear-time algorithm to decide whether an arbitrary graph has fixed disk dimension k or less. …”
Get full text
Get full text
Get full text

EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis by Yahya, Fares

Get full text

Domain Adaptation with Adversarial Training and Graph Embeddings by Firoj Alam (14158866)

“…We propose a novel model that performs adversarial learning based domain adaptation to deal with distribution drifts and graph based semi-supervised learning to leverage unlabeled data within a single unified deep learning framework. …”

EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation by Badr, Yara

“…This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. …”
Get full text

Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

“…Traditionally, scholars have focused on identifying the longest and shortest Sanad between two Narrators, but in MIS, the emphasis shifts to determining the optimum/authentic Sanad, considering narrator qualities. The graph representation of the authentic and manually curated dataset will open ways for the development of computational models that could identify the significance of a chain and a narrator. …”

Supporting secure dynamic alert zones using searchable encryption and graph embedding by Sina Shaham (17707254)

“…We focus on a prominent SE technique in the public-key setting–hidden vector encryption, and propose a graph embedding technique to encode location data in a way that significantly boosts the performance of processing on ciphertexts. …”

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States by Yahya, Fares

“…In this paper, we present a method to quantify the coupling between brain regions under vigilance and enhanced mental states by utilizing partial directed coherence (PDC) and graph theory analysis (GTA). The vigilance state is induced using a modified version of stroop color-word task (SCWT) while the enhancement state is based on audio stimulation with a pure tone of 250 Hz. …”
Get full text

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”

Graphical Insight: Revolutionizing Seizure Detection with EEG Representation by Muhammad Awais (263096)

“…We construct a graph representation of EEG signals by extracting features such as frequency-based, statistical-based, and Daubechies wavelet transform features. …”

Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States by Hassanin, Omnia

Get full text

The urban regeneration’s framework for transit villages in Qatar: the case of Al Sadd in Doha by Raffaello Furlan (273228)

“…The strategy for monitoring and assessing the potential benefits of the investigated TOD is grounded on the on-site analysis (based on graph theory) of two indices: (1) built environment diversity and density and (2) travel behavior. …”

Degree-Based Network Anonymization by Halawi, Ola

“…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. …”
Get full text
Get full text
Get full text

Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

Get full text

Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”

Knowledge-based virtual outdoor weather event simulator using unity 3D by Noueihed, Hamza

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

Enhancing fairness and scalability in IOTA tangle networks: a POMDP-based tip selection algorithm for decentralized systems by Mays Alshaikhli (22564811)

“…The Internet of Things Applications (IOTA) Tangle, a directed acyclic graph (DAG)-based structure, addresses these challenges by enabling scalable, feeless transactions for IoT applications. …”