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2024

Conference Publication

EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images

Hasan, Md. Zahid, Hossain, Shahed, Jim, Risul Islam, Bulbul, Abdullah Al-Mamun, Rahman, Md. Tanvir and Moni, Mohammad Ali (2024). EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images. 1st International Workshop on Multimedia Computing for Health and Medicine (MCHM), Melbourne Australia, Oct 28-Nov 01, 2024. New York, NY, USA: ACM. doi: 10.1145/3688868.3689198

EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images

2024

Conference Publication

Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach

Al Arafat, Kazi Abdullah, Roni, Mahmudur Rahman, Siddique, Sumaya, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_12

Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach

2024

Conference Publication

Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis

Appel Mahmud Pranto, Md., Asad, Nafiz Al, Yousuf, Mohammad Abu, Uddin, Mohammed Nasir and Moni, Mohammad Ali (2024). Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_45

Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis

2024

Conference Publication

NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel

Al Mamun, Abdullah, Najrul Howlader, S. M., Khanom, Shoma, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_14

NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel

2023

Conference Publication

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

Rahman, Wahidur, Abul Ala Walid, Md., Saklain Galib, S. M., Rokhsana, Kaniz, Abdul Hai, Talha Bin, Mohammad Azad, Mir and Ali Moni, Mohammad (2023). Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT. 2023 26th International Conference on Computer and Information Technology, ICCIT 2023, Cox's Bazar, Bangladesh, 13-15 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccit60459.2023.10441444

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

2023

Conference Publication

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

Gupta, Debashis, Golder, Aditi, Haque, Md. Mahfuzul and Moni, Mohammad Ali (2023). CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW Australia, 28 November - 1 December 2023. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta60407.2023.00085

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

2023

Conference Publication

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

Hasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul and Moni, Mohammad Ali (2023). AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis. 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 21 - 23 September 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icict4sd59951.2023.10303373

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

2023

Conference Publication

What baseline and intervention characteristics predict walking speed six months after stroke?

Nayak, Neelam, Brauer, Sandra, Kuys, Suzanne, Moni, Mohammad Ali and Mahendran, Niruthikha (2023). What baseline and intervention characteristics predict walking speed six months after stroke?. Stroke 2023 – The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, Melbourne, VIC, Australia, 22-25 August 2023. London, United Kingdom: Sage Publications.

What baseline and intervention characteristics predict walking speed six months after stroke?

2023

Conference Publication

Machine learning-based biomedical antenna for brain tumor detection

Hasan, Nafiul, Aktar, Mousumi, Rana, Md. Masud and Moni, Mohammad Ali (2023). Machine learning-based biomedical antenna for brain tumor detection. International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 16-17 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ncim59001.2023.10212805

Machine learning-based biomedical antenna for brain tumor detection

2023

Conference Publication

Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensors

Khatun, Mst. Alema, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2023). Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensors. 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023, Chittagong, Bangladesh, 23-25 February 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ecce57851.2023.10101550

Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensors

2023

Conference Publication

Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images

Satu, Md. Shahriare, Ahammed, Khair, Abedin, Mohammad Zoynul, Rahman, Md. Auhidur, Islam, Sheikh Mohammed Shariful, Azad, A. K. M., Alyami, Salem A. and Moni, Mohammad Ali (2023). Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images. First International Conference, MIET 2022, Noakhali, Bangladesh, 23-25 September 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-34619-4_13

Convolutional neural network model to detect COVID-19 patients utilizing chest x-ray images

2022

Conference Publication

Predictive risk modelling in mental health issues using machine learning on graphs

Lu, Haohui, Uddin, Shahadat, Hajati, Farshid, Khushi, Matloob and Moni, Mohammad Ali (2022). Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: Australasian Computer Science Week 2022, Online, 14 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3511616.3513112

Predictive risk modelling in mental health issues using machine learning on graphs

2022

Conference Publication

A machine learning model to recognise human emotions using electroencephalogram

Roy, Nipa, Aktar, Sakifa, Ahamad, Md. Martuza and Moni, Mohammad Ali (2022). A machine learning model to recognise human emotions using electroencephalogram. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733675

A machine learning model to recognise human emotions using electroencephalogram

2022

Conference Publication

Early stage autism spectrum disorder detection of adults and toddlers using machine learning models

Hasan, Minhazul, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Early stage autism spectrum disorder detection of adults and toddlers using machine learning models. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733664

Early stage autism spectrum disorder detection of adults and toddlers using machine learning models

2022

Conference Publication

Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease

Mahbub, Nosin Ibna, Hasan, Md. Imran, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease. International Conference on Innovations in Science, Engineering and Technology (ICISET), Chittagong, Bangladesh, 26-27 February 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICISET54810.2022.9775827

Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease

2022

Conference Publication

Early stage detection of heart failure using machine learning techniques

Alom, Zulfikar, Azim, Mohammad Abdul, Aung, Zeyar, Khushi, Matloob, Car, Josip and Moni, Mohammad Ali (2022). Early stage detection of heart failure using machine learning techniques. International Conference on Big Data, IoT, and Machine Learning, Cox’s Bazar, Bangladesh, 23-25 September 2021. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-16-6636-0_7

Early stage detection of heart failure using machine learning techniques

2022

Conference Publication

Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder

Mahmud, Mufti, Kaiser, M. Shamim, Rahman, Muhammad Arifur, Wadhera, Tanu, Brown, David J., Shopland, Nicholas, Burton, Andrew, Hughes-Roberts, Thomas, Mamun, Shamim Al, Ieracitano, Cosimo, Tania, Marzia Hoque, Moni, Mohammad Ali, Islam, Mohammed Shariful, Ray, Kanad and Hossain, M. Shahadat (2022). Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder. 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual, 26 June - 1 July 2022. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-031-05039-8_26

Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder

2022

Conference Publication

SATLabel: a framework for sentiment and aspect terms based automatic topic labelling

Shahriar, Khandaker Tayef, Moni, Mohammad Ali, Hoque, Mohammed Moshiul, Islam, Muhammad Nazrul and Sarker, Iqbal H. (2022). SATLabel: a framework for sentiment and aspect terms based automatic topic labelling. Machine Intelligence and Data Science Applications, Cumilla, Bangladesh, 26-27 December 2021. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2347-0_6

SATLabel: a framework for sentiment and aspect terms based automatic topic labelling

2021

Conference Publication

Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training

Fahim, Md Asif Iqbal, Naznin, Feroza, Moni, Mohammad Ali and Islam, Md Zahidul (2021). Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training. 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 16-20 August 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICIEVICIVPR52578.2021.9564125

Improved transfer learning architecture to classify Covid-19 affected chest X-rays using noisy student pre-training

2021

Conference Publication

Lung cancer prediction using curriculum learning based deep neural networks

Zhou, Jackson, Khushi, Matloob, Moni, Mohammad Ali, Uddin, Shahadat and Poon, Simon K. (2021). Lung cancer prediction using curriculum learning based deep neural networks. 2021 IEEE International Conference on Digital Health (ICDH), Chicago, IL USA, 5-10 September 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDH52753.2021.00013

Lung cancer prediction using curriculum learning based deep neural networks