Browsing NTNU Open by Author "Imran, Ali Shariq"

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 ...

AI Driven Healthcare: Automated detection of Chest-Xray Abnormalities

Rajbhandari, Rumi (Master thesis, 2023)

As the world population continues to grow, a significant challenge emerges to provide healthcare facilities to an ever-expanding population. Harnessing the power of AI, this challenge could be easily mitigated. One of the ...

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 ...

Artificial Intelligence in Education: The Effectiveness of Large Language Models as Assessment Assistants

Sivakumar, Mithunan (Master thesis, 2024)

Det har vært store teknologiske fremskritt innen språkbehandling (NLP) de siste årene, særlig med utviklingen av store språkmodeller (LLMer), som har vist effektiv språkforståelse. Nyere forskning har undersøkt hvordan ...

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 ...