Search Results for author: Sunil Aryal

Found 28 papers, 0 papers with code

Data Quality in Edge Machine Learning: A State-of-the-Art Survey

no code implementations1 Jun 2024 Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal, Hakim Hacid

From these observations, it follows that DQ research for edge ML is a critical and urgent exploration track for the safety and robust usefulness of present and future AI systems.

Autonomous Driving Edge-computing +2

Data-driven Machinery Fault Detection: A Comprehensive Review

no code implementations29 May 2024 Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal

With the massive surge in industrial big data and advancement in sensing and computational technologies, data-driven Machinery Fault Diagnosis (MFD) solutions based on machine/deep learning approaches have been used ubiquitously in manufacturing.

Fault Detection

Review for Handling Missing Data with special missing mechanism

no code implementations7 Apr 2024 Youran Zhou, Sunil Aryal, Mohamed Reda Bouadjenek

Understanding what missing data is, how it occurs, and why it is crucial to handle it appropriately is paramount when working with real-world data, especially in tabular data, one of the most commonly used data types in the real world.

Decision Making Imputation

The Pursuit of Fairness in Artificial Intelligence Models: A Survey

no code implementations26 Mar 2024 Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal

This survey offers a synopsis of the different ways researchers have promoted fairness in AI systems.

Fairness

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis

no code implementations17 Mar 2024 Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging.

Classification Intrusion Detection +1

usfAD Based Effective Unknown Attack Detection Focused IDS Framework

no code implementations17 Mar 2024 Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

To address this challenge, we put forth two strategies for semi-supervised learning based IDS where training samples of attacks are not required: 1) training a supervised machine learning model using randomly and uniformly dispersed synthetic attack samples; 2) building a One Class Classification (OCC) model that is trained exclusively on benign network traffic.

Intrusion Detection One-Class Classification

Training Machine Learning models at the Edge: A Survey

no code implementations5 Mar 2024 Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid, Sunil Aryal

This survey delves into Edge Learning (EL), specifically the optimization of ML model training at the edge.

Edge-computing Federated Learning

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma

no code implementations27 Feb 2024 Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin, Md. Alamin Talukder, AKM Azad, Sunil Aryal, Bikash Kumar Paul, Wahia Tasnim, Muhammad Ali Abdulllah Almoyad, Mohammad Ali Moni

Our research findings have suggested common therapeutic molecules for the selected diseases based on 10 hub genes with the highest interactions according to the degree topology method and the maximum clique centrality (MCC).

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs

no code implementations17 Feb 2024 Md. Alamin Talukder, Selina Sharmin, Md Ashraf Uddin, Md Manowarul Islam, Sunil Aryal

This blend synthesizes minority instances and eliminates Tomek links, resulting in a balanced dataset that significantly enhances detection accuracy in WSNs.

Intrusion Detection

Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing

no code implementations21 Jan 2024 Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh

In this paper, we show that preprocessing data using a variant of rank transformation called 'Average Rank over an Ensemble of Sub-samples (ARES)' makes clustering algorithms robust to data representation and enable them to detect varying density clusters.

Clustering

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture

no code implementations28 Nov 2023 Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md Ashraf Uddin, Sunil Aryal

Furthermore, EfficientNetB4 excelled in identifying Lung disease using Chest X-ray dataset containing 4, 350 Images, achieving remarkable performance with an accuracy of 99. 17%, precision of 99. 13%, recall of 99. 16%, and f1-score of 99. 14%.

COVID-19 Diagnosis Transfer Learning

SHINE: Deep Learning-Based Accessible Parking Management System

no code implementations2 Feb 2023 Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok

However, this gradual increment in the number of vehicles has inevitably led to parking-related issues, including the abuse of disabled parking spaces (hereafter referred to as accessible parking spaces) designated for individuals with disabilities.

License Plate Recognition Management +2

Levels of explainable artificial intelligence for human-aligned conversational explanations

no code implementations7 Jul 2021 Richard Dazeley, Peter Vamplew, Cameron Foale, Charlotte Young, Sunil Aryal, Francisco Cruz

Over the last few years there has been rapid research growth into eXplainable Artificial Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML).

Decision Making Explainable artificial intelligence +2

New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis

no code implementations31 Dec 2020 Chiranjibi Sitaula, Sunil Aryal

General deep features may not be appropriate to represent chest x-rays as they have a few semantic regions.

COVID-19 Diagnosis

Scene Image Representation by Foreground, Background and Hybrid Features

no code implementations5 Jun 2020 Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

In this paper, we propose to use hybrid features in addition to foreground and background features to represent scene images.

General Classification

Content and Context Features for Scene Image Representation

no code implementations5 Jun 2020 Chiranjibi Sitaula, Sunil Aryal, Yong Xiang, Anish Basnet, Xuequan Lu

Existing research in scene image classification has focused on either content features (e. g., visual information) or context features (e. g., annotations).

General Classification Image Classification

A Comprehensive Survey on Outlying Aspect Mining Methods

no code implementations6 May 2020 Durgesh Samariya, Jiangang Ma, Sunil Aryal

For each category, we have provided existing work that falls in that category and then provided their strengths and weaknesses in those categories.

A new effective and efficient measure for outlying aspect mining

no code implementations28 Apr 2020 Durgesh Samariya, Sunil Aryal, Kai Ming Ting

In this paper, we introduce a new score called SiNNE, which is independent of the dimensionality of subspaces.

Density Estimation

Improved histogram-based anomaly detector with the extended principal component features

no code implementations27 Sep 2019 Sunil Aryal, Arbind Agrahari Baniya, KC Santosh

In this era of big data, databases are growing rapidly in terms of the number of records.

Unsupervised Deep Features for Privacy Image Classification

no code implementations24 Sep 2019 Chiranjibi Sitaula, Yong Xiang, Sunil Aryal, Xuequan Lu

Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information.

Classification Clustering +2

Tag-based Semantic Features for Scene Image Classification

no code implementations22 Sep 2019 Chiranjibi Sitaula, Yong Xiang, Anish Basnet, Sunil Aryal, Xuequan Lu

In this paper, we introduce novel semantic features of an image based on the annotations and descriptions of its similar images available on the web.

Classification General Classification +2

Indoor image representation by high-level semantic features

no code implementations12 Jun 2019 Chiranjibi Sitaula, Yong Xiang, Yushu Zhang, Xuequan Lu, Sunil Aryal

Nevertheless, most of the existing feature extraction methods, which extract features based on pixels, color, shape/object parts or objects on images, suffer from limited capabilities in describing semantic information (e. g., object association).

General Classification Image Classification +1

A new simple and effective measure for bag-of-word inter-document similarity measurement

no code implementations9 Feb 2019 Sunil Aryal, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

To measure the similarity of two documents in the bag-of-words (BoW) vector representation, different term weighting schemes are used to improve the performance of cosine similarity---the most widely used inter-document similarity measure in text mining.

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