Outputs (528)

A Novel Continual Learning and Adaptive Sensing State Response‐Based Target Recognition and Long‐Term Tracking Framework for Smart Industrial Applications (2025)
Journal Article
Chen, L., Li, G., Tan, J., Li, Y., Fu, S., Ma, H., Liu, Y., Yang, Y., Qian, W., Zhu, Q., & Hussain, A. (2025). A Novel Continual Learning and Adaptive Sensing State Response‐Based Target Recognition and Long‐Term Tracking Framework for Smart Industrial Applications. Expert Systems, 42(5), Article e70037. https://doi.org/10.1111/exsy.70037

Purpose
With the rapid development of artificial intelligence technology, highly intelligent and unmanned factories have become an important trend. In the complex environments of smart factories, the long-term tracking and inspection of specified ta... Read More about A Novel Continual Learning and Adaptive Sensing State Response‐Based Target Recognition and Long‐Term Tracking Framework for Smart Industrial Applications.

Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events (2025)
Journal Article
Basabain, S., Al‐Dubai, A., Cambria, E., Alomar, K., & Hussain, A. (2025). Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events. Expert Systems, 42(5), Article e70030. https://doi.org/10.1111/exsy.70030

The focus of this study is to present the detailed process of collecting a dataset of Arabic short-text in the tourism context and annotating this dataset for the task of sentiment analysis using an automatic zero-shot labelling technique utilising t... Read More about Arabic Short-text Dataset for Sentiment Analysis of Tourism and Leisure Events.

TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification (2025)
Journal Article
Ieracitano, C., Morabito, F. C., Hussain, A., Suffian, M., & Mammone, N. (2025). TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification. Neurocomputing, 630, Article 129701. https://doi.org/10.1016/j.neucom.2025.129701

Skin cancer is one of the leading causes of mortality worldwide. Early diagnosis can ensure more effective patient treatment and outcomes, but, this is challenging due to the high similarity between different skin lesion types. There is a growing int... Read More about TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification.

Generative AI for Finance: Applications, Case Studies and Challenges (2025)
Journal Article
Sai, S., Arunakar, K., Chamola, V., Hussain, A., Bisht, P., & Kumar, S. (2025). Generative AI for Finance: Applications, Case Studies and Challenges. Expert Systems, 42(3), Article e70018. https://doi.org/10.1111/exsy.70018

Generative AI (GAI), which has become increasingly popular nowadays, can be considered a brilliant computational machine that can not only assist with simple searching and organising tasks but also possesses the capability to propose new ideas, make... Read More about Generative AI for Finance: Applications, Case Studies and Challenges.

Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming (2025)
Journal Article
Sai, S., Kumar, S., Gaur, A., Goyal, S., Chamola, V., & Hussain, A. (2025). Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming. Cognitive Computation, 17(1), Article 63. https://doi.org/10.1007/s12559-025-10420-6

Generative artificial intelligence (GAI) represents a pioneering class of artificial intelligence systems renowned for producing diverse media, such as text and images. Agriculture 4.0 (AG-4.0) is a concept that integrates advanced technologies such... Read More about Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming.

A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease (2025)
Journal Article
Iqbal, S., Qureshi, A. N., Alhussein, M., Aurangzeb, K., Zubair, M., & Hussain, A. (2025). A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease. Expert Systems, 42(2), Article e13825. https://doi.org/10.1111/exsy.13825

Chronic kidney disease (CKD) is a major global health concern caused mostly by high blood pressure and glucose levels. Detecting CKD early is critical for reducing its negative consequences since it can lead to increased mortality rates. With CKD's r... Read More about A Novel Reciprocal Domain Adaptation Neural Network for Enhanced Diagnosis of Chronic Kidney Disease.

MA-Net: Resource-efficient multi-attentional network for end-to-end speech enhancement (2024)
Journal Article
Wahab, F. E., Ye, Z., Saleem, N., Ullah, R., & Hussain, A. (2025). MA-Net: Resource-efficient multi-attentional network for end-to-end speech enhancement. Neurocomputing, 619, Article 129150. https://doi.org/10.1016/j.neucom.2024.129150

Deep Neural Networks (DNNs) have transformed speech enhancement (SE) by solving the complex relationships within speech signals through their multi-layered hierarchical representations. However, their computational demands remain a challenging proble... Read More about MA-Net: Resource-efficient multi-attentional network for end-to-end speech enhancement.

Artificial intelligence enabled smart mask for speech recognition for future hearing devices (2024)
Journal Article
Hameed, H., Lubna, Usman, M., Kazim, J. U. R., Assaleh, K., Arshad, K., Hussain, A., Imran, M., & Abbasi, Q. H. (2024). Artificial intelligence enabled smart mask for speech recognition for future hearing devices. Scientific Reports, 14(1), Article 30112. https://doi.org/10.1038/s41598-024-81904-y

In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognise speech by analysing Lip movements. The majority of Lip-reading technologies are based on cameras and wearable devices. However, these technologies h... Read More about Artificial intelligence enabled smart mask for speech recognition for future hearing devices.

Are Foundation Models the Next-Generation Social Media Content Moderators? (2024)
Journal Article
Nadeem, M., Javed, L., Sohail, S. S., Cambria, E., & Hussain, A. (2024). Are Foundation Models the Next-Generation Social Media Content Moderators?. IEEE Intelligent Systems, 39(6), 70-80. https://doi.org/10.1109/mis.2024.3477109

Recent progress in artificial intelligence (AI) tools and systems has been significant, especially in their reasoning and efficiency. Notable examples include generative AI-based large language models (LLMs) like Generative Pre-trained Transformer 3.... Read More about Are Foundation Models the Next-Generation Social Media Content Moderators?.

A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification (2024)
Journal Article
Huang, C., Li, X., Du, Y., Dong, Z., Huang, D., Kumar Jain, D., & Hussain, A. (2025). A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification. Cognitive Computation, 17(1), Article 16. https://doi.org/10.1007/s12559-024-10367-0

Aspect-level sentiment classification seeks to ascertain the sentiment polarities of individual aspects within a sentence. Most existing research in this field focuses on individually assessing the importance of contexts on individual aspects, disreg... Read More about A Hybrid Semantics and Syntax-Based Graph Convolutional Network for Aspect-Level Sentiment Classification.