Browsing NTNU Open by Author "Imran, Ali Shariq"
Now showing items 21-40 of 59
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The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Ali, Subhan; Akhlaq, Filza; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad; Moosa, Muhammad (Peer reviewed; Journal article, 2023)In domains such as medical and healthcare, the interpretability and explainability of machine learning and artificial intelligence systems are crucial for building trust in their results. Errors caused by these systems, ... -
Evaluating learners’ emotional states by monitoring brain waves for comparing game-based learning approach to pen-and-paper
Pireva, Krenare; Tahir, Rabail; Imran, Ali Shariq; Chaudhary, Niraj (Chapter, 2019)A new interest in the use of game factors while acquiring new knowledge has emerged, and a number of researchers are investigating the effectiveness of the game-based approach in education systems. Recent research in ... -
Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive
Batra, Rakhi; Imran, Ali Shariq; Kastrati, Zenun; Memon, Abdul Ghafoor; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2021)t has been more than a year since the coronavirus (COVID-19) engulfed the whole world, disturbing the daily routine, bringing down the economies, and killing two million people across the globe at the time of writing. The ... -
Game-based digital quiz as a tool for improving students’ engagement and learning in online lectures
Pireva, Krenare; Tahir, Rabail; Wang, Alf Inge; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)Distance teaching and learning are gaining popularity, especially amidst the COVID-19 crisis at the beginning of 2020. Several schools, colleges, and universities across the globe, as a result, have adopted the online mode ... -
Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers
Sohail, Tooba; Aiman, Atiqa; Hashmi, Ehtesham; Imran, Ali Shariq; Muhammad Daudpota, Sher; Yildirim-Yayilgan, Sule (International Conference on Frontiers of Information Technology (FIT);, Chapter, 2025)Social media platforms are more accessible than needed in this digital era. People are given the freedom to express their thoughts, their emotions, and their opinions. And this freedom is being exploited negatively. It has ... -
Human action recognition using attention based LSTM network with dilated CNN features
Muhammad, Khan; Mustaqeem, .; Ullah, Amin; Imran, Ali Shariq; Sajjad, Muhammad; Kiran, Mustafa Servet; Sannino, Giovanna; Alburguerque, Victor Hugo C., de (Peer reviewed; Journal article, 2021)Human action recognition in videos is an active area of research in computer vision and pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for human-behavior assessment and security purposes. ... -
The impact of synthetic text generation for sentiment analysis using GAN based models
Imran, Ali Shariq; Yang, Ru; Kastrati, Zenun; Daudpota, Sher Muhammad; Shaikh, Sarang (Peer reviewed; Journal article, 2022)Data imbalance in datasets is a common issue where the number of instances in one or more categories far exceeds the others, so is the case with the educational domain. Collecting feedback on a course on a large scale and ... -
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing
Memon, Abdul Ghafoor; Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Somro, Abdullah; Batra, Rakhi; Wani, Mudasir Ahmad (Journal article; Peer reviewed, 2021) -
Integrating word embeddings and document topics with deep learning in a video classification framework
Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Journal article; Peer reviewed, 2019)The advent of MOOC platforms brought an abundance of video educational content that made the selection of best fitting content for a specific topic a lengthy process. To tackle this challenge in this paper we report our ... -
Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing
Ullah, Hayat; Muhammad, Khan; Irfan, Muhammad; Anwar, Saeed; Sajjad, Muhammad; Imran, Ali Shariq; Albuquerque, Victor Hugo C. de (Peer reviewed; Journal article, 2021)Due to the rapid development of artificial intelligence technology, industrial sectors are revolutionizing in automation, reliability, and robustness, thereby significantly increasing quality and productivity. Most of the ... -
Metadata Augmented Deep Neural Networks for Wild Animal Classification
Tøn, Aslak (Master thesis, 2023)Camera trap imaging has emerged as a valuable tool for modern wildlife surveillance, enabling researchers to monitor and study wild animals and their behaviors. However, a significant challenge in camera trap data analysis ... -
MOOC dropout prediction using machine learning techniques: Review and research challenges
Dalipi, Fisnik; Imran, Ali Shariq; Kastrati, Zenun (Chapter, 2018)MOOC represents an ultimate way to deliver educational content in higher education settings by providing high-quality educational material to the students throughout the world. Considering the differences between traditional ... -
Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models
Kausar, Nabeela; Hameed, Abdul; Sattar, Mohsin; Ashraf, Ramiza; Imran, Ali Shariq; Abidin, Muhammad Zain ul; Ali, Ammara (Peer reviewed; Journal article, 2021)Skin cancer is a widespread disease associated with eight diagnostic classes. The diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the similarity of skin cancer classes in phenotype. ... -
Neural Network for Recognizing Features in Music
Eiklid, Sindre; Loland, Rickard; Grindal, Maren Skårestuen (Bachelor thesis, 2022)Gjennom de siste to tiårene har det blitt gjort stor fremgang rundt identifisering og klassifisering av trekk og egenskaper i musikk, gjennom bruk av fremgangsmåter som neural networks og maskinlæring. Til tross for dette ... -
Noise Robustness in Small-Vocabulary Speech Recognition
Haflan, Vetle (Master thesis, 2019)Denne masteroppgaven omhandler små-vokabular talegjenkjenning, og mer spesifikt støyrobusthet i systemer designet for dette formål. Tradisjonelle og moderne gjenkjenningssystemer har blitt trent på relativt store mengder ... -
Performance analysis of machine learning classifiers on improved concept vector space models
Kastrati, Zenun; Imran, Ali Shariq (Journal article; Peer reviewed, 2019)This paper provides a comprehensive performance analysis of parametric and non-parametric machine learning classifiers including a deep feed-forward multi-layer perceptron (MLP) network on two variants of improved Concept ... -
Performance Analysis of Vehicle Detection Techniques: A Concise Survey
Hanif, Adnan; Mansoor, Atif Bin; Imran, Ali Shariq (Chapter, 2018)Attention towards Intelligent Transportation System (ITS) has increased manifold especially due to prevailing security situation in the past decade. An integral part of ITS is video-based surveillance systems extracting ... -
The Potential of Machine Learning Algorithms for Sentiment Classification of Students’ Feedback on MOOC
Edalati, Maryam; Imran, Ali Shariq; Kastrati, Zenun; Daudpota, Sher Muhammad (Peer reviewed; Journal article, 2021)Students’ feedback assessment became a hot topic in recent years with growing e-learning platforms coupled with an ongoing pandemic outbreak. Many higher education institutes were compelled to shift on-campus physical ... -
Predicting Personality in Job Interviews By leveraging Emotion Recognition from Multi-Modal Sentiment Analysis Models
Abdi-Salah, Abdulfatah (Master thesis, 2023)Den økende bruken av digitale intervjuer i ansettelsesprosessen har akselerert forskning på metoder som kan forbedre deres effektivitet. Rekrutterere benytter seg av AI-metoder for å få en dypere forståelse av kandidater ... -
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
Khan, Siraj; Sajjad, Muhammad; Hussain, Tanveer; Ullah, Amin; Imran, Ali Shariq (Peer reviewed; Journal article, 2020)In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate ...