Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... حسب Raseena M. Haris (17773470)

"…To address this, we propose a novel framework merging machine learning with selective encryption to fortify the pre‐copy live migration process. …"

Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study حسب Shahan Ali Memon (18812038)

"…<h3>Background</h3><p dir="ltr">As the process of producing official health statistics for lifestyle diseases is slow, researchers have explored using Web search data as a proxy for lifestyle disease surveillance. …"

Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger حسب Mariem Mhiri (17991544)

"…Next, this data is processed through Aspen HYSYS-based and ML-driven DT to assess the system performance and predict potential failures, respectively. …"

Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine حسب Farida Mohsen (16994682)

"…Other models, such as hierarchical clustering (11%), Cox regression (11%), and natural language processing (4%), were also utilized. The data sources used in these studies included electronic health records (79%), imaging data (43%), and omics data (4%). …"

Entropy, Free Energy, and Work of Restricted Boltzmann Machines حسب Sangchul Oh (10980923)

"…A probability of finding the network in a certain configuration is given by the Boltzmann distribution. Given training data, its learning is done by optimizing the parameters of the energy function of the network. …"

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? حسب Ahmed Soliman (4591621)

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…In the initial phase, the proposed HNIDS utilizes hybrid EGA-PSO methods to enhance the minor data samples and thus produce a balanced data set to learn the sample attributes of small samples more accurately. …"

Optimization of Memristive Crossbar Array for Physical Unclonable Function Applications حسب Muhammad Ibrar Khan (13390617)

1D convolutional neural networks and applications: A survey حسب Serkan Kiranyaz (3762058)

"…</p><h2>Other Information</h2><p dir="ltr">Published in: Mechanical Systems and Signal Processing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ymssp.2020.107398" target="_blank">https://dx.doi.org/10.1016/j.ymssp.2020.107398</a></p>…"

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

"…<p dir="ltr">Deep learning has recently been shown to be effective in uncovering hidden patterns in non-Euclidean space, where data is represented as graphs with complex object relationships and interdependencies. …"

A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns حسب Md Ferdous Wahid (13485799)

"…This study proposes a hybrid scheme where two machine-learning (ML) models are coupled in a series to predict the PG value without any conclusive FP information. …"

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges حسب Muhammad Asif Khan (7367468)

"…To meet the latency requirements and avoid the end-to-end communication with remote cloud data centers, MEC allows to store and process video content (e.g., caching, transcoding, pre-processing) at the base stations. …"

State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network حسب Eyad Almaita (16855446)

"…The system was trained using real data from the Al-Manara PV power plant. The LSTM with learn-and-adapt-to-train-date properties, as well as the idea of “forget gate,” shows exceptional ability to determine the SoC under various ID data. …"

CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification حسب Md Rabiul Islam (6424796)

"…</p> <h2>Other Information</h2> <p>Published in: Biomedical Signal Processing and Control<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br> See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.bspc.2024.106211" target="_blank">https://dx.doi.org/10.1016/j.bspc.2024.106211</a></p> <p>Additional institutions affiliated with: Electrical and Computer Engineering - TAMUQ</p>…"

AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks حسب Faria Nawshin (21841598)

"…By integrating <u>DP</u>, we ensure the confidentiality of data during the detection process, setting a new standard for privacy in cybersecurity solutions. …"

Modelling fatigue uncertainty by means of nonconstant variance neural networks حسب Mohamad Shadi Nashed (21363557)

"…First, we model the fatigue life of cover‐plated beams under constant amplitude loading, and then we model the relationship between random vibration velocity and equivalent stress in process pipework. The two case studies demonstrate that PNNs with nonconstant variance can model the distribution of the data while also considering the variability of both distribution parameters (mean and standard deviation). …"

Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach حسب Zubair Saeed (19325647)

"…Unlike traditional machine learning methods requiring manual feature extraction, DL models are adept at handling complex data like MRIs and excel in classification tasks, making them well-suited for medical image analysis applications. …"

A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

"…The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. …"

A Review on the Lifetime Estimation Methods of XLPE Power Cables حسب Mohammad AlShaikh Saleh (22467046)

"…This article next examines artificial intelligence–based life models, a cutting-edge approach that integrates traditional knowledge with advanced computational techniques, such as machine learning and data analytics, for enhanced prediction of cable life expectancy. …"

Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review حسب Alaa Abd-alrazaq (17058018)