Browsing NTNU Open by Author "Imran, Ali Shariq"
Now showing items 1-20 of 51
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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 ... -
An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space
khan, noman; Muhammad, Khan; Hussain, Tanvir; Nasir, Mansoor; Munsif, Muhammad; Imran, Ali Shariq; Sajjad, Muhammad (Peer reviewed; Journal article, 2021)Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice in real life, and one of these is road safety training for ... -
Anomaly Based Camera Prioritization in Large Scale Surveillance Networks
Hussain, Altaf; muhammad, Khan; Ullah, Hayat; Ullah, Amin; Imran, Ali Shariq; Lee, Mi-young; Rho, Seungmin; Sajjad, Muhammad (Journal article; Peer reviewed, 2021)Digital surveillance systems are ubiquitous and continuously generate massive amounts of data, and manual monitoring is required in order to recognise human activities in public areas. Intelligent surveillance systems that ... -
Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
Chandio, Bilal Ahmed; Imran, Ali Shariq; Bakhtyar, Maheen; Daudpota, Sher Muhammad; Baber, Junaid (Peer reviewed; Journal article, 2022)Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential ... -
An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques
Sadriu, Shpetim; Pireva Nuci, Krenare; Imran, Ali Shariq; Uddin, Imran; Sajjad, Muhammad (Journal article, 2022)Conducting and evaluating continuous student feedback is essential for any quality enhancement cell (QEC) within an education institution. Students’ feedback based on their personal opinions can play a vital role in ensuring ... -
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 ... -
Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings
Shaikh, Sarang; Daudpotta, Sher Muhammad; Imran, Ali Shariq (Peer reviewed; Journal article, 2021)Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ... -
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques
Imran, Ali Shariq; Hodnefjeld, Henrik; Kastrati, Zenun; Fatima, Noureen; Daudpota, Sher Muhammad; Wani, Mudasir Ahmad (Peer reviewed; Journal article, 2023)In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ... -
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 ... -
A deep learning approach for brain tumor classification using MRI images
Aamir, Muhammad; Rahman, Ziaur; Dayo, Zaheer Ahmed; Abro, Waheed Ahmed; Uddin, M. Irfan; Khan, Inayat; Imran, Ali Shariq; Ali, Zafar; Ishfaq, Muhammad; Guan, Yurong; Hu, Zhihua (Journal article; Peer reviewed, 2022) -
Depression Screening in Humans With AI and Deep Learning Techniques
Wani, Mudasir Ahmad; ELAffendi, Muhammad A.; Shakil, Kashish Ara; Imran, Ali Shariq; El-Latif, Ahmed A. Abd (Journal article; Peer reviewed, 2022) -
Detecting suicidality on social media: Machine learning at rescue
Rabani, Syed Tanzeel; Ud Din Khanday, Akib Mohi; Khan, Qamar Rayees; Hajam, Umar Ayoub; Imran, Ali Shariq; Kastrati, Zenun (Journal article; Peer reviewed, 2023)The rise in technological advancements and Social Networking Sites (SNS) made people more engaged in their virtual lives. Research has revealed that people feel more comfortable posting their feelings, including suicidal ... -
Drug Adverse Event Detection Using Text-Based Convolutional Neural Networks (TextCNN) Technique
Rawat, Ashish; Wani, Mudasir Ahmad; ElAffendi, Muhammed; Imran, Ali Shariq; Zenun, Kastrati; Daudpota, Sher Muhammad (Peer reviewed; Journal article, 2022)With the rapid advancement in healthcare, there has been exponential growth in the healthcare records stored in large databases to help researchers, clinicians, and medical practitioner’s for optimal patient care, research, ... -
Dynamic application partitioning and task-scheduling secure schemes for biosensor healthcare workload in mobile edge cloud
Lakhan, Abdullah; Li, Jin; Groenli, Tor Morten; Sodhro, Ali Hassan; Zardari, Nawaz Ali; Imran, Ali Shariq; Thinnukool, Orawit; Khuwuthyakorn, Pattaraporn (Peer reviewed; Journal article, 2021)Currently, the use of biosensor-enabled mobile healthcare workflow applications in mobile edge-cloud-enabled systems is increasing progressively. These applications are heavyweight and divided between a thin client mobile ... -
Emotions don't lie: A multimodal approach to Personality Prediction
Taralrud, Hans Petter Fauchald (Master thesis, 2023)Å oppdage de riktige jobbsøkerne som passer med stillingsbeskrivelsen er avgjør-ende for organisasjonene sin suksess og vekst. Siden personligheten til kandidater er en akseptert indikator på jobbprestasjon, jobbtilfredshet ... -
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 ... -
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. ...