Measurements of roll, steering, and the far-field wake in track cycling by Shaun Fitzgerald (10222488)

Machine Learning Based Palm Farming: Harvesting and Disease Identification by Khan, Sana Z.

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Smart aquaponics: An innovative machine learning framework for fish farming optimization by Amith Khandakar (14151981)

“…External validation using different data reaffirms the models' generalizability. Hence, the integration of renewable energy, artificial intelligence, and rigorous analysis shows the potential to improve sustainable agriculture, paving the way for efficient and environmentally conscious indoor farming practices. …”

Decisions on design and planning of solar-assisted hydroponic farms under various subsidy schemes by Zhitao Xu (2426023)

“…The implementation of photovoltaic (PV) systems in hydroponic farms offers an innovative solution to shortages of energy and fresh food in urban areas. …”

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

“…A Master of Science thesis in Electrical Engineering by Reza Davoodi Far entitled, “Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning”, submitted in July 2024. …”
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Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review by Avneet Kaur (712349)

“…Modern advancements in farming practices have revolutionized the production of food vegetation. …”

Competition vs cooperation: An agent based model for sustainable tomatoes’ import system by Sarah Namany (17268922)

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An examination of how climate change could affect the future spread of <i>Fusarium</i> spp. around the world, using correlative models to model the changes by Muhammad Riaz Ejaz (20487191)

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Modeling of a solar-aided heating and cooling system with thermal energy storage for a sustainable agricultural greenhouse by Nezir Yağız Çam (23124550)

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A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits by Poonam Dhiman (12889038)

Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control by Farhat Mahmood (15468854)

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Removal of the finite-distance source effect on the Applebaum array by Yamani, A.

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

The impact of Transforming an Independent School with Conventional Hierarchal Structure into a Professional Learning Community (PLC) on the Overall School Improvement Process by CHAABAN, NAHED SALEH

“…This way, school improvement initiatives become immaculately contextualised and internally initiated, and thus far more sustainably effective than current standardised school improvement models with very limited potential to achieve stakeholders’ aspirations of building a robust system that can internally, sustainably, and proactively revive school improvement dynamics and mechanisms. …”
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Phosphate removal from water by modified pine bark using ionic liquid analog by Wazne, Mahmoud

“…The modified residues were used for the removal of PO from an effluent of a dairy farm anaerobic digester and from a wastewater treatment plant sludge centrate.…”
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Condition Monitoring and Fault Diagnosis of Wind Turbine: A Systematic Literature Review by Musavir Hussain (20725062)

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Mathematical Modeling of Pediatric Leukemia: Logical Modeling Approach by Lacoste, Valery

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Second-order conic programming for data envelopment analysis models by Mourad, Nahia

“…As far as known, no MATLAB function solves DEA models. …”
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Hybrid Deep Learning-based Models for Crop Yield Prediction by Alexandros Oikonomidis (12050497)

“…<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved. …”

Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

“…Therefore, we aimed to perform a Systematic Literature Review (SLR) study to investigate how LLMs have been applied for code completion so far. We have formulated several research questions to address how LLMs have been integrated for code completion-related tasks and to assess the efficacy of these LLMs in the context of code completion. …”