ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. Initially, the features are grouped randomly to increase the probability of making them participating in the generation of different groups, and sorted based on their accuracy scores. …”

Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”

Comparative evaluation of Dy(III) selective poly(vinyl) chloride based membrane electrodes of macrocyclic tetraimine Schiff’s bases by K. Gupta, Vinod

“…Three different derivatives of macrocyclic tetraimine Schiff’s base have been synthesized and explored as a neutral ionophores for preparing poly(vinyl chloride) based membrane sensors selective to Dy3+. …”
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Research Based Pedagogy to Enhance Quality of Learning: A Study Among Selected Higher Education Institutions in the UAE by AL HERSI, MARYAM SALEM

“…Research Based Pedagogy is referred to as a significant concept that would facilitate in creating research culture and to graduate students with high cognitive thinking order. …”
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An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems by Abdel-Salam, Mahmoud

“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. …”
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Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

“…To address this issue, we propose a highly effective approach, called Nested Ensemble Selection (NES), that is based on a combination of filter and wrapper methods. …”
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Board changes and CEO turnover by Dah, Mustafa A.

“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Glass Selection for High-Rise Residential Buildings in the United Arab Emirates based on Life Cycle Cost Analysis by Mokhtar, Ahmed

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

“…This study presents a novel Partially Observable Markov Decision Process (POMDP)-based Tip Selection Algorithm (TSA) to optimize fairness in the IOTA Tangle. …”

Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers by Aziz, Mohammad Rabih

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Methodology for Selection of Agile Practices by Saleh, Majd H.

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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”

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

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Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

“…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

“…To overcome these challenges, a new FS algorithm named Uniform-solution-driven Binary Feature Selection (UniBFS) has been developed in this study. …”

Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”

Vocal Changes in Patients With Polycystic Ovary Syndrome by Hannoun, Antoine

“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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A machine learning-based optimization approach for pre-copy live virtual machine migration by Raseena M. Haris (17773470)

“…To address the issue, this paper proposes a machine learning-based method to optimize pre-copy migration. It has mainly three stages (i) Feature selection (ii) Model generation and (iii) Application of the proposed model in pre-copy migration. …”