Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data in various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These have generated novel opportuniti...
Mufti Mahmud, M. Shamim Kaiser, T.M. McGinnity, Amir Hussain
Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Categorized in three broad types (i.e. images, signals, and sequences), these data are huge in amount and complex in nature. Mining such enorm...
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, Shamim Al Mamun et al.
Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have o...
Md. Asif-Ur-Rahman, Fariha Afsana, Mufti Mahmud, M. Shamim Kaiser et al.
Rapid developments in the fields of information and communication technology and microelectronics allowed seamless interconnection among various devices letting them to communicate with each other. This technological integration opened up new possibilities in many disciplines including healthcare an...
Minhaz Uddin Emon, Maria Sultana Keya, Tamara Islam Meghla, Md. Mahfujur Rahman et al.
Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an early prediction of stroke diseases by using different machine learning approach...
Mufti Mahmud, M. Shamim Kaiser, M. Mostafizur Rahman, Muhammad Arifur Rahman et al.
Rapid advancement of Internet of Things (IoT) and cloud computing enables neuroscientists to collect multilevel and multichannel brain data to better understand brain functions, diagnose diseases, and devise treatments. To ensure secure and reliable data communication between end-to-end (E2E) device...
Shakila Zaman, Khaled Alhazmi, Mohammed Aseeri, Muhammad R. Ahmed et al.
The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resource-cons...
Md. Hasan Al Banna, Kazi Abu Taher, M. Shamim Kaiser, Mufti Mahmud et al.
Predicting the time, location and magnitude of an earthquake is a challenging job as an earthquake does not show specific patterns resulting in inaccurate predictions. Techniques based on Artificial Intelligence (AI) are well known for their capability to find hidden patterns in data. In the case of...
Nahida Islam, Fahiba Farhin, Ishrat Sultana, M. Shamim Kaiser et al.
The Internet of Things (IoT) integrates billions of self-organized and heterogeneous smart nodes that communicate with each other without human intervention. In recent years, IoT based systems have been used in improving the experience in many applications including healthcare, agriculture, supply c...
Md. Hasan Al Banna, Tapotosh Ghosh, Kazi Abu Taher, M. Shamim Kaiser et al.
Md Jaber Al Nahian, Tapotosh Ghosh, Md. Hasan Al Banna, Mohammed Aseeri et al.
Fall causes trauma or critical injury among the geriatric population which is a second leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly people under supervision by ensuring proper privacy and comfort. Thus the elderly fall detection and prediction usi...
Md. Julkar Nayeen Mahi, Sudipto Chaki, Shamim Ahmed, Milon Biswas et al.
Recent technology has modeled VANET (vehicular adhoc network) communication well in terms of privileges to derive vehicular communication technologically to save time, energy, and money. Due to the increase in powerful technology in modern times, VANETs play a vital role in uplifting daily concerns ...
Nilanjan Dey, V. Rajinikanth, Simon Fong, M. Shamim Kaiser et al.
The coronavirus disease (COVID-19) caused by a novel coronavirus, SARS-CoV-2, has been declared a global pandemic. Due to its infection rate and severity, it has emerged as one of the major global threats of the current generation. To support the current combat against the disease, this research aim...
Shamim Ahmed, M. Shamim Kaiser, Mohammad Shahadat Hossain, Karl Andersson
Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions in the healthcare industry. To comprehend the variables that affect decision-making regarding diabetes prediction that can be accounted for ...
Tapotosh Ghosh, Md. Hasan Al Banna, Md. Sazzadur Rahman, M. Shamim Kaiser et al.