9 Result(s)
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Article
M. Ali Akber Dewan
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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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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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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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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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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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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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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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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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Open AccessEdge Segment-Based Automatic Video Surveillance
This paper presents a moving-object segmentation algorithm using edge information as segment. The proposed method is developed to address challenges due to variations in ambient lighting and background content...
