Cybersecurity effectiveness in UK construction firms: an extended McKinsey 7S model approach by Badi, Sulafa

“…Design/methodology/approach– Based on a quantitative research strategy, this study collected data through a cross-sectional survey of professionals working in the construction sector in the United Kingdom (UK). …”
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A Stackelberg Game Inspired Model of Real-Time Economic Dispatch with Demand Response by Shakrina, Youssef

“…Additionally, an approach to the sizing of the ESS is proposed. Stochastic modeling of electricity prices based on historical data is used to this end. …”
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Effect of Pilot-Points Location on Model Calibration: Application to the Northern Karst Aquifer of Qatar by Husam Baalousha (18140608)

“…A conceptual model of this aquifer was developed based on MODFLOW software (United States Geological Survey). …”

A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand by Khawar Naeem (17984062)

“…The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …”

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …”
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Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…Results on cell association, load balancing, and EE of LBUs have been compared with conventional association schemes. The proposed battery based cell association models perform well in favor of LBUs and clearly show the significance of the proposed approach.…”

Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies by Jana Sheikh Ali (22392121)

“…The PSS methodologies in the literature are categorized into three main categories: model-based, optimization-based, and artificial intelligence (AI)-based approaches. …”

A Prospective observational cohort of clinical outcomes in medical inpatients prescribed pharmacological thromboprophylaxis using different clinical risk assessment models (COMPT R... by Chamoun, Nibal

“…Pharmacologic thromboprophylaxis was warranted in 97.6%, 99.7%, and 52.9% of patients using the Caprini-based, Caprini, and Padua RAMs respectively. The Caprini-based and Caprini RAMs were highly correlated (r = 0.873 p < 0.001) and were significantly less correlated with the Padua RAM. …”
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Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system by Sampath Rajapaksha (17541411)

“…However, vanilla AE models often suffer from overgeneralization, reconstructing anomalies without significant errors, resulting in many false negatives. …”

Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

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

“…Innovative cultivation strategies including high-rate algal ponds, membrane <u>bioreactors</u>, and CO₂-enriched <u>flue gas</u> significantly enhance productivity and resource efficiency. …”

Toward a Clearer Understanding of Value‐Based Healthcare: A Concept Analysis by Vahe Kehyayan (21241649)

“…<h3>Background</h3><p dir="ltr"> Value‐based healthcare (VBHC) aims to improve the quality of healthcare delivery while reducing costs and also aims for outcomes that are of utmost importance from patients’ perspectives. …”

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

“…In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal processing. …”
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Towards the development of an integrated model for examining the determinants affecting the use of Queue Management Solutions in Healthcare by ALQUDAH, ADI AHMAD ALI

“…The results revealed that the new tool is beneficial, and the median times to finish the processes within the patient’s journey have significantly decreased. To evaluate the use of the enhanced QMS, this research develops an integrated model based on the integration of various constructs extracted from different theoretical models, including the UTAUT, TAM, and social cognitive theory (SCT) along with trust and innovativeness as external factors. …”
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ML-Based Handover Prediction and AP Selection in Cognitive Wi-Fi Networks by Muhammad Asif Khan (7367468)

An analytical model for evaluating interrupt-driven system performance of Gigabit Ethernet hosts with finite buffer by Salah, K.

“…A novel analytical model based on Markov processes is developed to study the impact of interrupt overhead on operating system performance of network hosts such as PC-based routers, servers, and end hosts 'when subjected to Gigabit network traffic. …”
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Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption by Esmat Zaidan (16855203)

“…<p>The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. …”

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …”

Stability and bifurcation analysis of a discrete-time predator-prey model with strong Allee effect by Al-Sharawi, Ziyad

“…In this paper, we investigate the impact of Allee effect on the stability of a discrete-time predator-prey model with a non-monotonic functional response. The proposed model supports the coexistence of two steady states, and the mathematical features of the model are analyzed based on local stability and bifurcation theory. …”
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