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- short-paperApril 2024
Automated Alphabet Detection from Brain Waves
ACMSE '24: Proceedings of the 2024 ACM Southeast ConferencePages 247–252https://doi.org/10.1145/3603287.3651214Brain-computer interfaces (BCIs) offer a novel method of converting brain activity into valuable data. This study investigates the use of electroencephalogram (EEG) signals for recognizing brainwave signals to record human thoughts. Our research focuses ...
- research-articleMarch 2024
Breast cancer diagnosis through an optimization‐driven multispectral gamma correction (ODMGC)
International Journal of Adaptive Control and Signal Processing (ACSP), Volume 38, Issue 6Pages 2178–2199https://doi.org/10.1002/acs.3798SummaryThe Optimization‐Driven Multispectral Gamma Correction (ODMGC) algorithm overcomes challenges in gathering subtle information and detecting cancer in dense breast thermograms. This algorithm enhances the accuracy of true positives and true ...
- research-articleMay 2024
Energy efficient random forest classifier-based secure routing for opportunistic internet of things
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Volume 46, Issue 2Pages 80–89https://doi.org/10.1504/ijahuc.2024.138743Opportunistic internet of things (OppIoT) is a class of opportunistic networks, where the data are transmitted in a broadcast manner and shared among the nodes (i.e., IoT devices and human communities' devices) through opportunistic contact. In such ...
- research-articleJune 2023
Investigating Factors Affecting Students’ Loyalty to Continue Higher Education in the Same Institute
ICIEAEU '23: Proceedings of the 2023 10th International Conference on Industrial Engineering and ApplicationsPages 222–227https://doi.org/10.1145/3587889.3588203The current challenge among institutes nowadays is to keep their old students for continuance in higher education. Different literatures have considered individual factors of behavioral and cognitive aspects to assess student loyalty. However, limited ...
- research-articleJanuary 2023
Online User Authentication System Using Keystroke Dynamics
Journal of Computer Security (JOCS), Volume 31, Issue 3Pages 185–215https://doi.org/10.3233/JCS-210081Nowadays, people become more connected to the internet using their mobile devices. They tend to use their critical and sensitive data among many applications. These applications provide security via user authentication. Authentication by passwords is a ...
- research-articleDecember 2021
Fusion of image quality assessment and transfer learning for COVID19 detection using CT scan image
ICVGIP '21: Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image ProcessingArticle No.: 48, Pages 1–9https://doi.org/10.1145/3490035.3490307One of the main challenges in controlling the spread of COVID19 pandemic is to diagnose infection early. The most reliable method RT - PCR takes several hours to give results. Although the Anti-Body (Serological) test gives the results in a few hours, ...
- research-articleJanuary 2021
A methodical evaluation of classifiers in predicting academic performance for a multi-class approach
International Journal of Data Analysis Techniques and Strategies (IJDATS), Volume 13, Issue 3Pages 207–226https://doi.org/10.1504/ijdats.2021.118024Predictive analytics has gained importance in recent years as it helps to proactively identify factors that contribute to the success or failure of an event in the relevant field. Academic achievements of students can be predicted early by employing ...
- research-articleJanuary 2021
Ensemble learning-based classification on local patches from magnetic resonance images to detect iron depositions in the brain
International Journal of Bio-Inspired Computation (IJBIC), Volume 17, Issue 4Pages 260–266https://doi.org/10.1504/ijbic.2021.116608Iron deposition in the brain has been observed with normal aging and is associated with neurodegenerative diseases. The automated classification of brain magnetic resonance images (MRI) based on iron deposition in basal ganglia region of the brain has not ...
- research-articleAugust 2021
Machine Learning Approach to Manage Adaptive Push Notifications for Improving User Experience
MobiQuitous '20: MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and ServicesPages 488–493https://doi.org/10.1145/3448891.3448956In this modern connected world mobile phone users receive a lot of notifications. Many of the notifications are useful but several cause unwanted distractions and stress. Managing notifications is a challenging task with the large influx of ...
- short-paperMarch 2019
Emotify: emotional game for children with autism spectrum disorder based-on machine learning
IUI '19 Companion: Companion Proceedings of the 24th International Conference on Intelligent User InterfacesPages 31–32https://doi.org/10.1145/3308557.3308688Children with Autism Spectrum Disorder (ASD) often face the challenge of detecting and expressing emotions. I.e., it's hard for them to recognize happiness, sadness and anger in other people and to express their own feelings. This difficulty produces ...
- research-articleJanuary 2019
Fuzzy clustering using salp swarm algorithm for automobile insurance fraud detection
- Santosh Kumar Majhi,
- Subho Bhatachharya,
- Rosy Pradhan,
- Shubhra Biswal,
- Sabu M. Thampi,
- El-Sayed M. El-Alfy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 36, Issue 3Pages 2333–2344https://doi.org/10.3233/JIFS-169944In this paper, a hybrid fuzzy clustering techniques using Salp Swarm Algorithm (SSA) is proposed. The proposed fuzzy clustering method is used to optimize the cluster centroids obtained as an under sampling method. The performance of the proposed fuzzy ...
- research-articleJanuary 2016
MRI brain pattern analysis for detection of Alzheimer's disease using random forest classifier
Intelligent Decision Technologies (INTDTEC), Volume 10, Issue 4Pages 331–340https://doi.org/10.3233/IDT-160260Alzheimer's disease (AD) is the most common type of dementia and a major cause of disability worldwide.It is a progressive and degenerative disease that affects brain cells and its early diagnosis has been essential for appropriate intervention by health ...
- research-articleJanuary 2014
Malware detection method based on the control‐flow construct feature of software
IET Information Security (ISE2), Volume 8, Issue 1Pages 18–24https://doi.org/10.1049/iet-ifs.2012.0289The existing anti‐virus methods extract signatures of software by manual analysis. It is inefficient when they deal with a large number of malware. Meanwhile, the limitation of unknown malware detection often is found in them too. By the research on ...
- research-articleSeptember 2012
Recognizing pornographic images
MM&Sec '12: Proceedings of the on Multimedia and securityPages 105–108https://doi.org/10.1145/2361407.2361425We present a novel algorithm for discriminating pornographic and assorted benign images, each categorized into semantic subclasses. The algorithm exploits connectedness and coherence properties in skin image regions in order to capture alarming Regions ...
- ArticleNovember 2011
Stratified Random Forest for Genome-wide Association Study
BIBM '11: Proceedings of the 2011 IEEE International Conference on Bioinformatics and BiomedicinePages 10–15https://doi.org/10.1109/BIBM.2011.9For high dimensional genome-wide association (GWA) case-control data of complex disease, there are usually a large portion of single-nucleotide polymorphisms (SNPs) that are irrelevant with the disease. A simple random sampling method in random forest ...
- ArticleDecember 2010
A Novel Algorithm for Text Detection and Localization in Natural Scene Images
DICTA '10: Proceedings of the 2010 International Conference on Digital Image Computing: Techniques and ApplicationsPages 635–642https://doi.org/10.1109/DICTA.2010.115Text data in an image present useful information for annotation, indexing and structuring of images. The gathered information from images can be applied for devices for impaired people, navigation, tourist assistance or georeferencing business. In this ...
- ArticleApril 2010
Early Alzheimer's disease diagnosis using partial least squares and random forests
Currently, the accurate diagnosis of the Alzheimer disease (AD) still remains a challenge in the clinical practice. This paper shows a novel computer aided diagnosis (CAD) system for the early Alzheimer's disease using single photon emission computed ...