Modified Particle Filters for Detection of False Data Injection Attacks and State Estimation in Networked Nonlinear Systems by Nargess Sadeghzadeh-Nokhodberiz (16904952)

“…Using the derived thresholds and under small enough measurement noises, it is also proved that no false alarm occurs. …”

Modeling of Tool Wear when Turning of TI-6AL-4V Titanium Alloy by Al Hassani, Azza Rashed

Get full text

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

Evolutionary support vector regression for monitoring Poisson profiles by Ali Yeganeh (16624998)

Membrane Bioreactor-Desalination Microbial Fuel Cell Hybrid System by Mukhtar, Noora Hussein Adam

Get full text

Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

Get full text

Analysis and improvement of steady-state and transient biofilter models for VOC control by Mustafa, Basil Moawia Abderahman

Get full text

The buffered work-pool approach for search-tree based optimization algorithms by Abu-Khzam, Faisal N.

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

Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

“…Load balancing in cloud computing falls under the class of concerns defined as "NP-hard" issues due to vast solution space. …”

Dual dynamic kernel filtering: Accurate time-frequency representation, reconstruction, and denoising by Skander Bensegueni (21797279)

“…This approach significantly improves temporal alignment via Dynamic Time Warping (DTW), robustly preserves signal distributions as evidenced by quantile-quantile (QQ) plot analyses, and maintains high frequency fidelity during the filtering process. Extensive experimental comparisons against traditional discrete wavelet transform (DWT) and S-transform filtering, conducted under varying noise conditions, including synthetic noisy ECG with white noise, colored noise (brown and pink), and naturally noisy ECG, demonstrate that our dual hybrid kernel method substantially enhances robustness and consistency in signal reconstruction. …”

Experimental data-driven multimodal approach for detection and localization of external disturbances in oil and gas pipelines using vibration characteristics by Asan GA Muthalif (22827512)

“…The proposed approach develops a multimodal framework for detecting and localizing external disturbances in oil and gas pipelines by integrating statistical methods, signal processing, and advanced diagnostics. …”

Parametric investigation and optimisation of mechanical properties of thick tri-material based composite of PLA-PETG-ABS 3D-printed using fused filament fabrication by Imran Khan (109715)

“…No major defects were observed under high LT, high PS, and high ID, which resulted in the highest TS of 39.5 MPa and ℇ of 0.95. …”

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…A new wild animal dataset is developed, comprising 17 different wild animal species, captured under low-light conditions and in challenging backgrounds. …”

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

“…This approach demonstrates how sentiment classification can be conducted in under-resourced dialects with minimal labeled data through cross-lingual learning. …”
Get full text
Get full text
Get full text

Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment by Sachi Gupta (19560268)

“…<p dir="ltr">Cloud computing is one of the most commonly used infrastructures for carrying out activities using virtual machines known as processing units. One of the most fundamental issues with cloud computing is task scheduling. …”

Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks by Mohamed Massaoudi (16888710)

“…In a postfault scenario, a copula of processing blocks is implemented to ensure the reliability of the proposed method where high-importance features are incorporated into the TCN-GWO model. …”

Robust human face detection in complex color images by Naseem, I.

Get full text
Get full text

Agent-Based Modelling and Simulation of Crowd Evacuation: Case Study for Electric Train Cabin by Maghaydah, Safwan

“…Nonetheless, passengers should be aware and familiar with the locations of these exit points, emergency signs, and egress paths to avoid any congestion, stampedes, and social attachment that may contribute to losses of life and delay the evacuation process. Also, an agent-based simulation is remarkably practical for determining intelligent practices and effective methods that can be adopted and followed to accelerate the evacuation process compared with other methods that are very difficult or unethical to apply, such as subjecting a group of people to a real fire event and predicting some methods to evacuate them based on the results.…”
Get full text
Get full text

Dimensional capability of selected 3DP technologies by Younss Ait Mou (18060055)

“…Finally, the surface quality and edge sharpness were evaluated under a reflected light ZEISS microscope with a 50× magnification objective.…”

Harnessing microalgae for a synergistic approach to CO₂ capture, wastewater treatment, and biodiesel production: A review by Abdullah M. AlSalal (23770842)

“…Advanced harvesting techniques like <u>flocculation</u>, dissolved air <u>flotation</u>, and decanter centrifugation have improved biomass recovery (> 93 %) while reducing energy consumption. Extraction methods using <u>ionic liquids</u>, bio-based solvents (e.g., 2-MeTHF), and supercritical CO₂ achieve yields up to 97 %, while optimized <u>transesterification</u> processes using microwave or ultrasound-assisted catalysis report fatty acid methyl ester yields up to 88 %. …”