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Article
Open AccessA systematic review on EEG-based neuromarketing: recent trends and analyzing techniques
Neuromarketing is an emerging research field that aims to understand consumers’ decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to im...
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Chapter and Conference Paper
Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTM
This paper presents a method for classifying discussion posts of online courses, aiming to improve students’ cognitive engagement in online learning. This method utilizes deep learning models including a GloVe...
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Article
An empirical framework for detecting speaking modes using ensemble classifier
Detecting the speaking modes of human is an important cue in many applications, including detecting active/inactive participants in video conferencing, monitoring students’ attention in classrooms or online, a...
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Chapter and Conference Paper
Emotion Detection from Facial Expression in Online Learning Through Using Synthetic Image Generation
Understanding students’ educational emotion is important for learning process, however, it is challenging to detect in an online learning environment. Deep learning architectures show excellent performance for...
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Chapter and Conference Paper
Improving Students’ Self-awareness by Analyzing Course Discussion Forum Data
The growing demand for self-paced online learning (SPOL) courses lead to post-secondary institutions exploring how information technology can be used to improve the quality of SPOL courses by evaluating teachi...
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Chapter and Conference Paper
Real-time Multi-module Student Engagement Detection System
We present a method to aggregate four different facial cues to help identify distraction among online learners: facial emotion detection, micro-sleep tracking, yawn detection, and iris distraction detection. I...
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Article
Driving maneuver classification from time series data: a rule based machine learning approach
Drivers’ improper driving behavior plays a vital role in road accidents. Different approaches have been proposed to classify and evaluate driving performance to ensure road safety. However, most of the techniq...
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Article
Open AccessCNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based CNN-XGBoost fusion method for re...
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Article
Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images
This work presents a high-performance approach for 3D lung segmentation tasks in computer tomography images using a new intelligent machine learning algorithm called Floor of Log(FoL). The Support Vector Machi...
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Chapter and Conference Paper
Multi-armed Bandit Algorithms for Adaptive Learning: A Survey
Adaptive learning aims to provide each student individual tasks specifically tailed to his/her strengths and weaknesses. However, it is challenging to realize it, overcoming the complexity issue in online lear...
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Chapter and Conference Paper
A Review on Visualization of Educational Data in Online Learning
Higher educational institutions capture huge amounts of educational data, especially in online learning. Data mining techniques have shown promises to interpret these data using different patterns . However, u...
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Chapter and Conference Paper
An Intelligent Technique for Stock Market Prediction
Economy of a country greatly depends on the stock market sector. People may gain profit by proper investments in stock markets or may lose their entire life savings by wrong investments. Previously, the world ...
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Chapter and Conference Paper
Develo** a Technique for Overcoming the Searching Limitations of Documents
Searching in documents plays a vital role in our daily life. We use different kinds of documents for different purposes. Automatic searching of information in these documents is very important for us as it red...
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Article
Open AccessEngagement detection in online learning: a review
Online learners participate in various educational activities including reading, writing, watching video tutorials, online exams, and online meetings. During the participation in these educational activities, ...
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Chapter and Conference Paper
Classification of Artery and Vein in Retinal Fundus Images Based on the Context-Dependent Features
In this paper, we present an automatic method based on context-dependent characteristics for the detection and classification of arterial vessels and venous vessels in retinal fundus images. It provides a non-...
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Chapter and Conference Paper
Combinatorial Auction Based Mechanism Design for Course Offering Determination
Course Offering Determination (COD) is a strategy of an educational institution to maximize the satisfaction of the students and the enrollment of the courses within budget and other resource constraint. COD i...
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Chapter and Conference Paper
An Approach to Improving Single Sample Face Recognition Using High Confident Tracking Trajectories
In this paper, single sample face recognition (SSFR) problem is addressed by introducing an adaptive biometric system within a modular architecture where one detector per target individual is proposed. For eac...
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Article
A flexible edge matching technique for object detection in dynamic environment
Considering the robustness, stability and reduced volume of data, researchers have focused on using edge information in various video processing applications including moving object detection, tracking and tar...
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Article
A Linear Time Algorithm of Computing Hausdorff Distance for Content-based Image Analysis
The Hausdorff distance is a very important metric for various image applications in computer vision including image matching, moving-object detection, tracking and recognition, shape retrieval and content-base...
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Chapter and Conference Paper
Moving Object Detection and Classification Using Neural Network
Moving object detection and classification is an essential and emerging research issue in video surveillance, mobile robot navigation and intelligent home networking using distributed agents. In this paper, we...
