Blar i NTNU Open på forfatter "Imran, Ali Shariq"
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A Comparative Study of Deep Learning Techniques on Frame-Level Speech Data Classification
Sabzi Shahrebabaki, Abdolreza; Imran, Ali Shariq; Olfati, Negar; Svendsen, Torbjørn Karl (Journal article; Peer reviewed, 2019)This paper provides a comprehensive analysis of the effect of speaking rate on frame classification accuracy. Different speaking rates may affect the performance of the automatic speech recognition system yielding poor ... -
Acoustic Feature Comparison for Different Speaking Rates
Sabzi Shahrebabaki, Abdolreza; Imran, Ali Shariq; Olfati, Negar; Svendsen, Torbjørn Karl (Chapter, 2018)This paper investigates the effect of speaking rate variation on the task of frame classification. This task is indicative of the performance on phoneme and word recognition and is a first step towards designing voice-controlled ... -
Automatic annotation of lecture videos for multimedia driven pedagogical platforms
Imran, Ali Shariq; Alaya Cheikh, Faouzi; Kowalski, Stewart James (Peer reviewed; Journal article, 2016)Today’s eLearning websites are heavily loaded with multimedia contents, which are often unstructured, unedited, unsynchronized, and lack inter-links among different multimedia components. Hyperlinking different media ... -
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets
Imran, Ali Shariq; Daudpota, Sher Muhammad; Kastrati, Zenun; Batra, Rakhi (Peer reviewed; Journal article, 2020)How different cultures react and respond given a crisis is predominant in a society’s norms and political will to combat the situation. Often, the decisions made are necessitated by events, social pressure, or the need of ... -
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 ... -
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 ... -
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 ... -
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 ... -
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
Khan, Siraj; Sajjad, Muhammad; Hussain, Tanvir; Ullah, Amin; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)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 ... -
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 ... -
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Kastrati, Zenun; Dalipi, Fisnik; Imran, Ali Shariq; Pireva, Krenare; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2021)In the last decade, sentiment analysis has been widely applied in many domains, including business, social networks and education. Particularly in the education domain, where dealing with and processing students’ opinions ... -
Sub-Nyquist sampling and detection in Costas coded pulse compression radars
Hanif, Adnan; Mansoor, Atif Bin; Imran, Ali Shariq (Peer reviewed; Journal article, 2016)Modern pulse compression radar involves digital signal processing of high bandwidth pulses modulated with different coding schemes. One of the limiting factors in the radar’s design to achieve desired target range and ... -
The impact of deep learning on document classification using semantically rich representations
Kastrati, Zenun; Imran, Ali Shariq; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2019)This paper presents a semantically rich document representation model for automatically classifying financial documents into predefined categories utilizing deep learning. The model architecture consists of two main modules ... -
Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
Shaikh, Sarang; Daudpota, Sher Muhammad; Imran, Ali Shariq; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing ... -
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
Yar, Hikmat; Imran, Ali Shariq; Khan, Zulfiqar; Sajjad, Muhammad; Kastrati, Zenun (Peer reviewed; Journal article, 2021)Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even ... -
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)Students’ feedback is an effective mechanism that provides valuable insights about teachinglearning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ... -
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Kastrati, Zenun; Imran, Ali Shariq; Kurti, Arianit (Peer reviewed; Journal article, 2020)Students' feedback is an effective mechanism that provides valuable insights about teaching-learning process. Handling opinions of students expressed in reviews is a quite labour-intensive and tedious task as it is typically ...