Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng et al.
Multi-person pose estimation is an important but challenging problem in computer vision. Although current approaches have achieved significant progress by fusing the multi-scale feature maps, they pay little attention to enhancing the channel-wise and spatial information of the feature maps. In this...
Md. Al Mehedi Hasan, Mohammed Nasser, Biprodip Pal, Shamim Ahmad
The success of any Intrusion Detection System (IDS) is a complicated problem due to its nonlinearity and the quantitative or qualitative network traffic data stream with many features. To get rid of this problem, several types of intrusion detection methods have been proposed and shown different lev...
Syed Tanveer Jishan, Raisul Islam Rashu, Naheena Haque, Rashedur M. Rahman
Abstract There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding ...
Dewan Md. Farid, Li Zhang, Alamgir Hossain, Chowdhury Mofizur Rahman et al.
Dewan Md Singh, Nouria Harbi, Mohammad Zahidur Rahman
in the last decades. However, there remain various issues needed to be examined towards current intrusion detection systems (IDS). We tested the performance of our proposed algorithm with existing learning algorithms by employing on the KDD99 benchmark intrusion detection dataset. The experimental r...
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed et al.
Security concerns for Internet of Things (IoT) applications have been alarming because of their widespread use in different enterprise systems. The potential threats to these applications are constantly emerging and changing, and, therefore, sophisticated and dependable defense solutions are necessa...
Prottoy Saha, Muhammad Sheikh Sadi, Md. Milon Islam
Recently, coronavirus disease (COVID-19) has caused a serious effect on the healthcare system and the overall global economy. Doctors, researchers, and experts are focusing on alternative ways for the rapid detection of COVID-19, such as the development of automatic COVID-19 detection systems. In th...
Imrus Salehin, Md. Shamiul Islam, Pritom Saha, S. M. Noman et al.
AutoML (Automated Machine Learning) is an emerging field that aims to automate the process of building machine learning models. AutoML emerged to increase productivity and efficiency by automating as much as possible the inefficient work that occurs while repeating this process whenever machine lear...
Md. Milon Islam, Omar Tayan, Md. Repon Islam, Md. Saiful Islam et al.
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the elderly. Accidental falls also have a remarkable impact on the costs of national health systems. Thus, extensive research and development of fall detection and rescue systems are a necessity. Technologies related...
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed
The Controller Area Network (CAN) bus works as an important protocol in the real-time In-Vehicle Network (IVN) systems for its simple, suitable, and robust architecture. The risk of IVN devices has still been insecure and vulnerable due to the complex data-intensive architectures which greatly incre...
Md Golam Morshed, Tangina Sultana, Aftab Alam, Young-Koo Lee
Human action recognition systems use data collected from a wide range of sensors to accurately identify and interpret human actions. One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-base...
Nutan Farah, Md. Avishek, Faisal Muhammad, Abdur Rahman et al.
Network security is one of the major concerns of the modern era. With the rapid development and massive usage of internet over the past decade, the vulnerabilities of network security have become an important issue. Intrusion detection system is used to identify unauthorized access and unusual attac...
Yue Zhao, Zain Nasrullah, Maciej K. Hryniewicki, Zheng Li
In unsupervised outlier ensembles, the absence of ground truth makes the combination of base outlier detectors a challenging task. Specifically, existing parallel outlier ensembles lack a reliable way of selecting competent base detectors, affecting accuracy and stability, during model combination. ...
Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza et al.
Intrusion detection (ID) is critical in securing computer networks against various malicious attacks. Recent advancements in machine learning (ML), deep learning (DL), federated learning (FL), and explainable artificial intelligence (XAI) have drawn significant attention as potential approaches for ...
Wazir Zada Khan, Mohammed Y. Aalsalem, Muhammad Khurram Khan, Md. Shohrab Hossain et al.
Anomaly detection systems deployed for monitoring in oil and gas industries are mostly WSN based systems or SCADA systems which all suffer from noteworthy limitations. WSN based systems are not homogenous or incompatible systems. They lack coordinated communication and transparency among regions and...