Crowd counting at the edge using weighted knowledge distillation by Muhammad Asif Khan (7367468)

Produced water treatment using microbial desalination cells by Goel, Apoorva

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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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Ultrasound Triggered Release of Estrone- Targeted Liposomes by Kawak, Pierre

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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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Using genetic algorithms to optimize software quality estimation models by Azar, Danielle

“…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by Awar, Zeina

“…DVT prophylaxis in hospitalized cancer patients is significantly underutilized. Several options are available to increase physicians' awareness of the problem.…”
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Using Social Media for Public Participation in Government Policies and Services by ALJANAHI, AYESHA ABDULNOOR MUSTAFA

“…A major problem facing the UAE, as well as governments in many other countries, is how to sustain high levels of public participation. …”
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Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…These fraudulent activities have contributed to rising problems in the manufacturing industry. Several fraud detection systems are being used in the procurement and logistics sector, and their challenge is incapability of realizing the burden of the money lost and abnormal behaviors in the procurement process. …”
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FarmTech: Regulating the use of digital technologies in the agricultural sector by Imad Antoine Ibrahim (14158998)

Pharmacist recognition of and adherence to medication-use policies and safety practices by Saad, Aline

“…They were less able to recognize and act appropriately on orders with safety-related problems. Ambiguous responsibility and low perceived importance were the most significant factors contributing to noncompliance with P&T committee policies and guidelines.…”
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A Principal-Agent Approach for the Effective Design of a Renewable Energy Incentive for a Heavily Subsidized Residential Sector: The Case of Qatar by Sikandar Abdul Qadir (17947799)

“…The effectiveness of imposing regulatory measures that aim to reduce consumption, such as carbon pricing and rebates, depends on the design of the introduced policy, region dynamics, and population characteristics. Using principal-agent theory, this study addresses the agency problem between the government and households by proposing a policy that aims to incentivize households to shift towards renewable energy sources and reduce their overall energy demand. …”

Kinship recognition from faces using deep learning with imbalanced data by Hadid, Abdenour

“…Importantly, to overcome the problem of unbalanced data, One Hot Encoding for labels is utilised. …”
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Analysis of facial emotion expression in eating occasions using deep learning by Elif Yildirim (17725965)

“…In addition, investigating the emotion during food consumption is considered a multidisciplinary problem ranging from neuroscience to anatomy. In this study, we focus on evaluating the emotional experience of different participants during eating activities and aim to analyze them automatically using deep learning models. …”

Industrial Processes Performance Improvement using Six Sigma Principles and Tools by AlAwadhi, Alya

“…Various techniques were applied during data collection, which included the empirical measurements, observation, and questionnaire method. The analysis of data using Pareto analysis uncovered significant problems. …”
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Estimation of Virtual Trust on Driverless Cars using Type-1 Fuzzy logic by Mohamed Kayed Alhyasat, Khaled

“…These cars utilize cutting-edge technology to efficiently address human mobility needs. Using the most advanced technological elements, this is a significant advancement in the automobile manufacturing sector. …”
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Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

“…The network can then predict the solution of the problem for a varying range of parameters. The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. …”

AN INVESTIGATION OF THE USE OF CONJUNCTIVE COHESIVE DEVICES IN EMIRATI STUDENTS’ ARGUMENTATIVE ESSAYS by AlAttar, Fatema Habeeb

“…Moreover, two problems were found regarding students’ use of conjunctions: 1) adversative conjunctions seemed problematic, and 2) among the overall array of conjunctions, ‘and’ was particularly overused. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

A novel deep learning identifier for promoters and their strength using heterogeneous features by Aqsa Amjad (22155247)

“…In summary, this research will provide useful hints for the recognition of large-scale promoters in particular and other DNA problems in general.…”