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

“…<p>This paper presents a collated case study on local energy market (LEM) in Australia, in which energy users take part frequently in peer-to-peer (P2P) energy trading among themselves considering the agile presence of energy retailers and distribution utilities. …”

Decentralized PV Energy Trading: A Case Study of Residential Households in Qatar by Nassma Mohandes (17983741)

“…<p dir="ltr">This paper describes a peer-to-peer (P2P) energy trading market framework based on game theory and agent-based modeling (ABM) that enables owners of photovoltaic (PV) systems to sell the electricity they produce to neighbors and the grid. …”

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…Dyskinesias, motor fluctuations, and levodopa-equivalent daily dose requirements decreased by 82.35%,82.14%, and 77%, respectively (p<O.OI). …”
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”

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

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”

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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Investigating the causes and drivers of food waste in the hospitality sector in Dubai-UAE. Toward implementing food waste prevention strategies.” by SADEH, REHAM ZEYAD

“…Thus, efforts to tackle the problem have to start, this is in alignment with achieving international targets like SDG 12.3 and national ones such as “Zero Hunger” by 2051. …”
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Improvement Algorithm for Limited Space Scheduling by Zouein, Pierrette

“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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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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Post-materialistic values and entrepreneurial intention– the case of Saudi Arabia by Alammari, Khalid

“…The results show that post-materialistic values influence entrepreneurial intention by decreasing desirability and entrepreneurial self-efficacy. …”
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