Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation by Attieh, Joseph

“…Text classification is a key task of the Natural Language Processing (NLP) field that aims at assigning predefined categories to textual documents. …”
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Improving Rule Set Based Software Quality Prediction by Azar, Danielle

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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

“…The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …”
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Plant disease detection using drones in precision agriculture by Ruben Chin (17725986)

“…To address this problem, a systematic literature review (SLR) on the use of drones for plant disease detection was undertaken and 38 primary studies were selected to answer research questions related to disease types, drone categories, stakeholders, machine learning tasks, data, techniques to support decision-making, agricultural product types and challenges. …”

An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation by Abdul Rahman, Sawsan

“…Our approach combines the strengths of mobile crowdsensing, with the support of the mobile infrastructure, a multi-criteria algorithm for the participants' selection, and a deductive rule-based model for traffic condition estimation. …”
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A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering by Alessandro Ferrarini (3951098)

“…To this purpose, we first used multilabel algorithms in order to convert the task of explaining a large assemblage of plant communities into a classification framework able to capture with high cross-validated accuracy the pattern of species distributions under a composite set of biotic and abiotic factors. …”

FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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A novel design technique for generating building form by KAYED, MAYS N. A.

“…The development of the technique is initiated by proposing an exploratory methodology where a procedural structure for the technique is formulated from four stages: “backward triangulation” stage, forward building formation stage, evaluation stage and selection stage. Each stage contains number of processes that replace the traditional design tasks. …”
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A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

“…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …”

Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review by Hiba Alzoubi (18001609)

“…Support Vector Machines achieved the highest accuracy (96.3 %) and specificity (99.4 %), while K-Nearest Neighbors showed the highest sensitivity (97.1 %). Detection tasks (accuracy 96.1 %, sensitivity 98.5 %) outperformed subtyping tasks (accuracy 87.3 %, sensitivity 91.3 %). …”

Precision nutrition: A systematic literature review by Daniel Kirk (17302798)

“…In total, 30 algorithms were used, with 19 appearing more than once. …”

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

“…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. …”