Iqbal H. Sarker
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corre...
Iqbal H. Sarker
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or Industry 4.0). Due to its learning capabilities from data, DL technology originated from artificial neural network (ANN),...
Helen Noble, Joanna Smith
Evaluating the quality of research is essential if findings are to be utilised in practice and incorporated into care delivery. In a previous article we explored 'bias' across research designs and outlined strategies to minimise bias. Concepts such as reliability, validity and generalisability typic...
Razin Ahmed, Victor Sreeram, Yateendra Mishra, Muammer Din Arif
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent on climate and geography; often fluctuating erratically. This causes penetrations and voltage surges, system instability, inefficient utilities planning and financial loss. Forecast models can help; howeve...
Sukarna Barua, Md. Monirul Islam, Xin Yao, Kazuyuki Murase
Imbalanced learning problems contain an unequal distribution of data samples among different classes and pose a challenge to any classifier as it becomes hard to learn the minority class samples. Synthetic oversampling methods address this problem by generating the synthetic minority class samples t...
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...
Md. Mahmudul Hasan, Md. Milon Islam, Md Ishrak Islam Zarif, M. M. A. Hashem
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats and attacks in these infrastructures are also growing commensurately. Denial of Service, Data Type Probing, Mali...
Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker et al.
This paper presents a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to...
Iqbal H. Sarker, A. S. M. Kayes, Shahriar Badsha, Hamed Alqahtani et al.
Abstract In a computing context, cybersecurity is undergoing massive shifts in technology and its operations in recent days, and data science is driving the change. Extracting security incident patterns or insights from cybersecurity data and building corresponding data-driven model , is the key to ...
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Sonali Kundu et al.
Floods are one of nature's most destructive disasters because of the immense damage to land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to flash flooding due to the dynamic and complex nature of the flash floods. Therefore, earlier identification of fl...
Mohammad Shafenoor Amin, Yin Kia Chiam, Kasturi Dewi Varathan
Iqbal H. Sarker
The digital world has a wealth of data, such as internet of things (IoT) data, business data, health data, mobile data, urban data, security data, and many more, in the current age of the Fourth Industrial Revolution (Industry 4.0 or 4IR). Extracting knowledge or useful insights from these data can ...
Eklas Hossain, Imtiaj Khan, Fuad Un-Noor, Sarder Shazali Sikander et al.
This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the...
Shahadat Iqbal, Charisma F. Choudhury, Pu Wang, Marta C. González
In this research, we propose a methodology to develop OD matrices using mobile phone Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped tower locations with caller IDs, are analyzed first and trips occurring within certain time windows are used to generate tower...
Md. Rafiqul Islam, Muhammad Ashad Kabir, Ashir Ahmed, Abu Raihan Mostofa Kamal et al.
Purpose Social networks have been developed as a great point for its users to communicate with their interested friends and share their opinions, photos, and videos reflecting their moods, feelings and sentiments. This creates an opportunity to analyze social network data for user's feelings and sen...