Search
Search Results
-
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...
-
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...
-
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...
-
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....
-
Why the use of domain-specific modeling in airworthy software requires new methods and how these might look like? (extended version)
The use of domain-specific modeling (DSM) in safety-critical avionics is rare, even though the ever-increasing complexity of avionics systems makes...
-
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...
-
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...
-
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...
-
RALFusion: a residual attention guided lightweight deep-learning framework for infrared and visible image fusion
Infrared and visible image fusion plays an important role in subsequent advanced visual tasks, especially for complex marine environments. To improve...
-
Towards enhancing shadow removal from images
Addressing challenges posed by shadows in computer vision tasks, this study employs advanced deep learning techniques for shadow removal in RGB...
-
BangleFIR: bridging the gap in fashion image retrieval with a novel dataset of bangles
In this paper, we introduce Bangle Fashion Image Retrieval (BangleFIR), a novel dataset focusing on bangles within the fashion domain. While garment...
-
A review of video-based human activity recognition: theory, methods and applications
Video-based human activity recognition (HAR) is an important task in many fields, such as healthcare monitoring, video surveillance, and sports...
-
Smart contract vulnerabilities detection with bidirectional encoder representations from transformers and control flow graph
Up to now, the smart contract vulnerabilities detection methods based on sequence modal data and sequence models have been the most commonly used....
-
Fast Learning Network Algorithm for Voice Pathology Detection and Classification
The utilisation of ML (Machine Learning) techniques in the detection of the VP (Voice Pathology) has recently gained a lot of consideration. However,...
-
Enhancement of patient's health prediction system in a graphical representation using digital twin technology
The patient health prediction system is the most critical study in medical research. Several prediction models exist to predict the patient's health...
-
Real-time and secure identity authentication transmission mechanism for artificial intelligence generated image content
The rapid development of generative artificial intelligence technology and large-scale pre-training models has led to the emergence of artificial...
-
A comprehensive review on the Internet of Things in precision agriculture
A quickening transformation in the agriculture sector is being driven by the growth of Internet of Things (IoT) technology. The need for food...
-
Introducing a parametric function on relaxation times in magnetic resonance imaging
Relaxation times in MRI are able to indicate various objects on the T 1 - and T 2 -weighted images as well as the other pathophysiological quantities....