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

“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”

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

“…<p dir="ltr">The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. …”

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

“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique by Iqbal Hassan (22155274)

“…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …”

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations by Mohamed Massaoudi (16888710)

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

“…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …”

"Development of Authentic Annual and Seasonal Lightning Thunderstorms Day Maps for Saudi Arabia" by Shwehdi, M. H.

“…The southern region in general, and especially the cities of Abha, Taif and Al-Baha, has shown greater numbers of thunderstorm days all year round. …”
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"Thunderstorm distribution and frequency in Saudi Arabia" by Shwehdi, M. H.

“…The southern region in general, and especially the cities of Abha, Taif and Al-Baha, has shown greater numbers of thunderstorm days all year round. …”
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Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden by Monika, Rawat

“…With a greater decrease in taller forbs and shrubs than in graminoids and prostrate plants, a greater decrease in lichen than in bryophyte species, and a change in vegetation composition. …”
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Evidence-based safety education and training for traffic injury prevention by Abbas Motevalian (338825)

“…Bicycle skill training for children and youth may increase their safety knowledge, but not necessarily improve their behavior or decrease their injury rates. …”

Gaining or Losing Team Ball Possession: The Dynamics of Momentum Perception and Strategic Choice in Football Coaches by Walid Briki (688845)

“…Nonetheless, both variables displayed asymmetrical effects, in the sense that: (1) the strength of positive PM appeared to be easier to decrease than to increase; and (2) the greater the positive PM (or the negative PM), the lesser (or the greater) the coaches’ tendency to make a change in the organization of their teams. …”

Image coding using entropy-constrained reflected residual vector quantization by Khan, M.A.U.

“…Since the RVQ scheme is able to implement very large dimensional vector quantization designs like 16/spl times/16 and 32/spl times/32 VQs, it is found highly successful in extracting linear and non-linear correlation among image pixels. …”
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Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)

“…However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. …”

A comprehensive design and rating study of evaporative coolers and condensers. Part II. Sensitivity analysis by QURESHI, BILAL AHMED

“…For evaporative condenser design, it was seen that, for a 53% increase in the inlet relative humidity, the normalized sensitivity of the surface area increased 1.8 times in value and, for a 15 8C increase in the condenser temperature, the sensitivity increased by 3.5 times. …”
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An investigation into links between UAE STI Policy and the Federal Universities STEM Majors’ Enrolments, Graduates and Research Development: an evidence-based exploration of the im... by Khreibi, Rima Abou

“…Zayed University-Dubai had greater STEM majors’ enrolments compared to Zayed University-Abu Dhabi. …”
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Characterization of the dynamic flow response in microfluidic devices by Elgack, Mohammed Elmahdi

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Is board compensation excessive? by Dah, Mustafa A.

“…Based on this, we then calculate whether directors of corporate boards are over- or undercompensated. On average, we find greater evidence of over- rather than undercompensation. …”
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An adaptive load-balancing approach to XML-based network management using JPVM by Sqalli, M.H.

“…In this paper, we propose a framework for adaptive load-balancing using JPVM for XML-based network management. The goal is to increase the efficiency of processing the management data, and decrease the communication time by distributing the management load across multiple XML/SNMP gateways. …”
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Agent Based Modeling to Optimize Supermarkets Spatial Dimensions by NASIF, MAJD

“…It is the situation where the shoppers feel that the supermarket is overloaded with people at certain times. We solved this problem by providing an optimal area range for the supermarket where we reduced the crowding levels dramatically, while avoiding unnecessary increase in space dimensions. …”
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Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates by Mutasim Baba, Fuad

“…While without adequate ventilation, the overheating risk in high-energy-efficient buildings can be higher than old buildings, where decreasing wall and window U-values and infiltration rate has a greater contribution to the increase of indoor temperature, while decreasing window SHGC has a lower contribution to the decrease in indoor temperature compared to the case with adequate ventilation. …”
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