Search
Search Results
-
Toward fair graph neural networks via real counterfactual samples
Graph neural networks (GNNs) have become pivotal in various critical decision-making scenarios due to their exceptional performance. However,...
-
Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
-
Improving automatic cyberbullying detection in social network environments by fine-tuning a pre-trained sentence transformer language model
The internet use among children and adolescents has increased massively recently. This situation has promoted harmful situations such as...
-
Cooperative coati optimization algorithm with transfer functions for feature selection and knapsack problems
Coatis optimization algorithm (COA) has recently emerged as an innovative meta-heuristic algorithm (MA) for global optimization, garnering...
-
Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
Nowadays, due to the constantly growing amount of textual information, automatic text summarization constitutes an important research area in natural...
-
How clustering affects the convergence of decentralized optimization over networks: a Monte-Carlo-based approach
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent...
-
Fostering preservice teachers socio-emotional, technological, and metacognitive knowledge (STM-K) using e-portfolios
Preservice teachers often face challenges in develo** Socio-emotional, Technological, and Metacognitive Knowledge (STM-K) due to a lack of...
-
Data science career preference of Nigeria University students
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian...
-
Towards an integrative model of blended design studios: a multiple case study across architecture, design and planning education
Design education embodies distinctive pedagogical practices rooted in experiential learning, frequent interactions between students and instructors,...
-
Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many...
-
DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus
Single-chained blockchains are highly secure but cannot be scaled to larger IIoT (Internet of Industrial Things) network scenarios due to storage...