Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model by Dabeeruddin Syed (16864260)

“…Different methodologies have been employed to predict energy consumption at different levels of distribution and transmission systems. In this paper, a novel hybrid deep learning model is proposed to predict energy consumption in smart buildings. …”

Variational Auto Encoder Approach To Find Deferentially Expressed Genes by RAHIMAN, NABIL

“…In recent years it has been found that the deep learning model is being used as a biological model for single-cell analysis. …”
Get full text

Online Transient Stability Assessment Under Concept Drift: An ARF-Method-Assisted Federated Learning for Data Streams by Mohamed Massaoudi (16888710)

“…FedARF facilitates distributed knowledge aggregation learned from various heterogeneous local data sensors (clients) to predict and evaluate the TSA status with minimal communication overhead. …”

Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

“…Federated Learning (FL) has emerged as a promising framework for collaborative model training across distributed devices without centralizing sensitive data. …”
Get full text
Get full text
Get full text

Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura, Habiba

“…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
Get full text
Get full text
Get full text

Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings by Siyam, Nur

“…The evaluation of the app focused on students with ASD as their learning requires sharing information from different distributed sources. …”
Get full text

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…By introducing convolutional layers alongside multi-head attention mechanisms, the FLACON framework significantly improves learning efficiency across geographically distributed datasets. …”

Dickson polynomial-based secure group authentication scheme for Internet of Things by Salman Ali Syed (21323729)

Double-Edged Defense: Thwarting Cyber Attacks and Adversarial Machine Learning in IEC 60870-5-104 Smart Grids by Hadir Teryak (17986978)

“…Our results demonstrate that the proposed framework can accurately detect cyber attacks and remains robust to adversarial attacks. …”

What do end-to-end speech models learn about speaker, language and channel information? A layer-wise and neuron-level analysis by Shammur Absar Chowdhury (16812394)

“…Unlike hand-crafted feature-based models, we struggle to comprehend the concepts learned and how they interact within these models. …”

Improving text-to-image generation with object layout guidance by Jezia Zakraoui (14151399)

The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs by Muhammad Kashif (3923483)

“…<p dir="ltr">Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). …”

Unsupervised Urban Tree Biodiversity Mapping from Street Imagery by Abuhani, Diaa Addeen

Get full text

Unveiling the Metaverse: Exploring Emerging Trends, Multifaceted Perspectives, and Future Challenges by Mueen Uddin (4903510)

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

“…Gaussian Naïve Bayes (GNB) utilizes a probabilistic framework based on Bayes’ theorem to manage uncertainty in feature distributions. …”

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”

Evolutionary Game Theory as a Catalyst in Smart Grids: From Theoretical Insights to Practical Strategies by Anas Karaki (17947808)

“…<p dir="ltr">The increase in the installation of distributed energy resources (DERs) globally has led to a remarkable transformation in the structure of smart grids due to the growing number of energy participants. …”

Modeling and Performance Analysis of mmWave and WiFi-Based Vehicle Communications by Mohamed Rjab (21393908)

Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)