Use of Data Mining Techniques to Detect Fraud in Procurement Sector by AL HAMMADI, SUMAYYA ABDULLA

“…The method used in this research is a classification of models and algorithms used in data mining. All techniques also will be studied; they include clustering, tracking patterns, classifications and outlier detection. …”
Get full text

Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

Get full text

Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar (22046597)

“…Our systematic review covers a range of AI algorithms, including traditional ML, and advanced neural network models, such as Transformers, illustrating their effectiveness in IDS applications within IVNs. …”

Artificial intelligence-based methods for fusion of electronic health records and imaging data by Farida Mohsen (16994682)

“…We found that multimodality fusion models outperformed traditional single-modality models for the same task. …”

Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

Get full text

Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications by Estahbanati, Shahabeddin Vamegh

Get full text

LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

“…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …”

Correlation Clustering via 2-Club Clustering with Vertex Splitting by Thoumi, Sergio

“…In this thesis, we study two novel problems: 2-CLUB CLUSTER VERTEX SPLITTING (2CCVS) and 2-CLUB CLUSTER EDITING WITH VERTEX SPLITTING (2CCEDVS). 2-Clubs alleviate the strictness of cliques and vertex splitting allows for a vertex to be in multiple clusters, overcoming two main limitations of the currently studied models. Both of these problems are proved to be NP-Hard and heuristics are presented for 2CCED and 2CCEDVS.We compare the heuristic’s performance against well-known clustering algorithms on Biological and Social Networks. …”
Get full text
Get full text
Get full text

Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review by Loay A. Salman (14150322)

“…All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.…”

Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

Get full text