Monitoring the Athlete Match Response: Can External Load Variables Predict Post-match Acute and Residual Fatigue in Soccer? A Systematic Review with Meta-analysis by Karim Hader (2548618)

“…For every 100-m run above 5.5 m·s⁻¹, CK activity measured 24 h post-match increased by 30% and CMJPPO decreased by 0.5%. Conversely, the total distance covered did not present any evidence of a clear relationship with any fatigue-related marker at any time-point.…”

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Yassine Himeur (14158821)

“…This paper presents an efficient non-intrusive load monitoring framework that consists of the following main components: (i) a novel fusion of multiple time-domain features is proposed to extract appliance fingerprints; (ii) a dimensionality reduction scheme is introduced to be applied to the fused time-domain features, which relies on fuzzy-neighbors preserving analysis based QR-decomposition. …”

Analysis of Qatar's electricity landscape: Insights from load profiling, clustering, and policy recommendations by Haya Monawwar (14151168)

“…Global energy and environmental resource consumption have increased rapidly due to advances in production and transportation, leading to inefficient and wasteful use of resources. …”

Systematic analysis of cutting-edge technology for the wellbeing and safety of older persons by Ahmed Elsheikh (452015)

“…These studies evaluated interventions such as smart home systems, wearable health monitors, socially assistive robots and artificial intelligence (AI)-driven behaviour recognition tools. …”

Prognostic effects of cardiopulmonary resuscitation (CPR) start time and the interval between CPR to extracorporeal cardiopulmonary resuscitation (ECPR) on patient outcomes under e... by Amir Vahedian-Azimi (11177056)

“…The aim of this study was to investigate the prognostic effects of the time interval from collapse to start of CPR (no-flow time, NFT) and the time interval from start of CPR to implementation of ECPR (low-flow time, LFT) on patient outcomes under Extracorporeal Membrane Oxygenation (ECMO).…”

Effects of visual field impairment on driving by Jan Andersson (218600)

“…It was found that the visually impaired drivers reacted 23% slower (1.46s vs. 1.19s) and had 14% less correct number of hits (74% vs. 84%) for single stimuli trials. Reaction time for double stimuli trials was 15% longer (1,68s vs. 1.46s) and hit rate was 27% less (69% vs. 88%). …”

Shining a Light on Sustainability, Enhancing Interior Lighting Performance in UAE: A Case Study of Ajman University. by BABIKER, ZEINAB MOHD. ELMAGZOUB AHMED

“…Design suggestions LED retrofitting, daylighting integration, and smart control have the potential for savings of 30–50% with increased visual comfort. …”
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Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners by Mehdi Mohammadi (5024105)

“…This increase is 82% less than the 11.3 increase seen in the baseline model. …”

A survey on blockchain technology in the maritime industry: Challenges and future perspectives by Mohamed Ben Farah (22324813)

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

“…The application of electric vehicles (EV) in the smart grid has shown a significant option to reduce carbon emission. …”

HVAC system attack detection dataset by Mariam Elnour (14147790)

“…<p dir="ltr">The importance of the security of building management systems (BMSs) has increased given the advances in the technologies used. …”

A Survey of Indoor Localization Systems for Multi-Floor Environments by Sherif Mostafa (13548916)

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. …”

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM by Sayanti Chatterjee (1311438)

“…<p dir="ltr">The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both power quality (PQ) disturbances and cyber-attacks. …”

Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning by Zulfiqar Ali (117651)

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

Sequential therapy in patients receiving Fluoroquinolones at the American University of Beirut Medical Center. (c2001) by Homsi, Maria

“…Date of switch (if applicable), oral antibiotic chosen, mean time to switch, mean hospital duration, and mean treatment duration were also recorded. …”
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Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States by Yahya, Fares

“…The quantification of mental states was performed by means of statistical analysis of indexes based on GTA, behavioral responses of time-on-task (TOT), and Brunel Mood Scale (BRMUS). …”
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