Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …"

IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture حسب Moutaz Alazab (17730060)

"…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. …"

K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation حسب Ashhadul Islam (16869981)

Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"

Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Minimum UAV fog servers with maximum IoT devices association using genetic algorithms حسب Abbas, Nadine

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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning حسب Amer, Hala Nagi

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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study حسب Alkhodari, Mohanad Ahmed

"…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"

The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

"…Most of the studies used supervised learning algorithms, and there were very limited studies that focused on other types of machine learning. …"

Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"

Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

"…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …"

FarmTech: Regulating the use of digital technologies in the agricultural sector حسب Imad Antoine Ibrahim (14158998)

"…<p dir="ltr">Farming relies on the accurate collection and processing of data. Algorithms utilizing artificial intelligence can predict patterns and spot problems, helping farmers make more informed decisions. …"

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"

Graph Computing Systems and Partitioning Techniques: A Survey حسب Tewodros Alemu Ayall (19273717)

Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework حسب Tayyabah Hasan (18427887)

"…After selecting the most appropriate lattice map (32 × 32) in 750,000 iterations using SOMs, the data points below the dark blue region are mapped onto the data frame to get the videos. …"

Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"

Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security حسب Muhammad Maaz (5600600)

"…The time efficiency of both proposed algorithms renders them well-suited for deployment in IoT ecosystems. …"

Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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Identifying Regional Trends in Avatar Customization حسب Peter Mawhorter (18602944)

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