Search
Search Results
-
SkelVIT: consensus of vision transformers for a lightweight skeleton-based action recognition system
Skeleton-based action recognition systems receive the attention of many researchers due to their robustness to viewpoint and illumination changes,...
-
Low-light image enhancement using the illumination boost algorithm along with the SKWGIF method
Low-light image enhancement is highly desirable for outdoor image processing and computer vision applications. Research conducted in recent years has...
-
A side match oriented data hiding based on absolute moment block truncation encoding mechanism with reversibility
Owing to life style changes during COVID, communication channels were forced to change. Online services ramped up to replace traditional services. It...
-
Active reinforcement learning based approach for localization of target ROI (region of interest) in cervical cell images
The localization of tumour is an important factor towards the detection of malignant cervical cells. A Deep Q-Network (DQN) algorithm was implemented...
-
Designing preschool children's educational games for enlightenment through decision analysis methods
As an innovative form of digital online education, educational games have potentially significant impacts on preschool children's enlightenment...
-
Robust stochastic gradient descent with momentum based framework for enhanced chest X-ray image diagnosis
Our study focuses on the difficulties that radiologists encounter while interpreting Chest X-Ray images, which arise from the inherent ambiguity. We...
-
Examining ALS: reformed PCA and random forest for effective detection of ALS
ALS (Amyotrophic Lateral Sclerosis) is a fatal neurodegenerative disease of the human motor system. It is a group of progressive diseases that...
-
Ready or not? Investigating in-service teachers’ integration of learning analytics dashboard for assessing students’ collaborative problem solving in K–12 classrooms
Collaborative problem solving (CPS) has emerged as a crucial 21st century competence that benefits students’ studies, future careers, and general...
-
TOPCOAT: towards practical two-party Crystals-Dilithium
The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main...
-
Disturbance event triggered-model predictive tracking control for 4WIS–4WID mobile robot
Wheel-ground interactions during operation cause the robot to deviate from the reference trajectory, affecting the stability and safety of the robot....
-
Explainable decomposition of nested dense subgraphs
Discovering dense regions in a graph is a popular tool for analyzing graphs. While useful, analyzing such decompositions may be difficult without...
-
Enhanced speech emotion recognition using averaged valence arousal dominance map** and deep neural networks
This study delves into advancements in speech emotion recognition (SER) by establishing a novel approach for emotion map** and prediction using the...
-
Big data analysis of mental health intervention effects in student-athletes: based on data mining techniques and affective computing algorithms
Student-athletes suffer specific pressures and obstacles in regard to their studies and sports performance, making mental health concerns a major...
-
A new weighted ensemble model-based method for text implication recognition
In the context of text entailment recognition, there exists a risk of getting stuck in local optima when using a single pretrained model. To address...
-
Multi-task learning and mutual information maximization with crossmodal transformer for multimodal sentiment analysis
The effectiveness of multimodal sentiment analysis hinges on the seamless integration of information from diverse modalities, where the quality of...
-
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis
Emotions are fundamental to human behaviour. How we feel, individually and collectively, determines how humanity evolves and advances into our shared...
-
Machine learning-based opinion extraction approach from movie reviews for sentiment analysis
The field of sentiment mining, also known as sentiment analysis and sentiment extraction, has shown a surge with diverse applications. Various...
-
An extension of UTAUT model to understand elementary school students’ behavioral intention to use an online homework platform
The introduction of online homework has revolutionized traditional assignment formats, providing students with access to abundant learning resources,...
-
RefCit2vec: embedding models considering references and citations for measuring document similarity
This study outlines the intellectual structure of Library and Information Science in terms of the venues with RefCit2vec, an embedding method...
-
Intersecting realms: a cross-disciplinary examination of VR quality of experience research
The advent of virtual reality (VR) technology has necessitated a reevaluation of quality of experience (QoE) models. While numerous recent efforts...
