Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks by Najam Us Sahar Riyaz (22927843)

“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …”

KNNOR: An oversampling technique for imbalanced datasets by Ashhadul Islam (16869981)

“…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …”

Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System by Abu Zitar, Raed

Get full text
Get full text

A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics by Tekli, Joe

“…Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …”
Get full text
Get full text
Get full text
Get full text

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method by Shahid Rahman (16904613)

Mapping realistic data sets on parallel computers by Mansour, N.

Get full text
Get full text
Get full text
Get full text

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

A method for data path synthesis using neural networks by Harmanani, H.

Get full text
Get full text
Get full text
Get full text

Indexing Arabic texts using association rule data mining by Haraty, Ramzi A.

“…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …”
Get full text
Get full text
Get full text
Get full text

Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

Get full text

UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

Get full text
Get full text
Get full text
Get full text

UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks by Ebrahimi, Dariush

Get full text
Get full text
Get full text
Get full text

Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

“…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …”
Get full text

Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks by Samir, Moataz

Get full text
Get full text
Get full text
Get full text

Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data by ODEH, HANEEN

“…The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). …”
Get full text

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights by Malekloo, Arman

“…A detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures. …”
Get full text

Towards Scalable Process Mining Pipelines by Mohamed, Belal

Get full text
Get full text
Get full text

Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility by Islambouli, Rania

Get full text
Get full text
Get full text
Get full text

Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform by Hamed Al-Shaibani (19497412)

“…Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels <i>k</i> . …”