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...
Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal et al.
Abstract The k-Nearest Neighbors (kNN) method, established in 1951, has since evolved into a pivotal tool in data mining, recommendation systems, and Internet of Things (IoT), among other areas. This paper presents a comprehensive review and performance analysis of modifications made to enhance the ...
Surajit Bag, Shivam Gupta, Ajay Kumar, Uthayasankar Sivarajah
This study examines the effect of big data powered artificial intelligence on customer knowledge creation, user knowledge creation and external market knowledge creation to better understand its impact on B2B marketing rational decision making to influence firm performance. The theoretical model is ...
Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal
Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. Different forms of ...
A B M Moniruzzaman, Syed Akhter Hossain
Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as Big Data that is a global phenomenon. This is typically considered to be a data collection ...
Md. Nazmul Hasan, Rafia Nishat Toma, Abdullah-Al Nahid, M. M. Manjurul Islam et al.
Among an electricity provider’s non-technical losses, electricity theft has the most severe and dangerous effects. Fraudulent electricity consumption decreases the supply quality, increases generation load, causes legitimate consumers to pay excessive electricity bills, and affects the overall econo...
Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, Mohammad Alamgir Hossain et al.
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, Dipanjali Kundu et al.
Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare field. Traditionally, the healthcare system works based on centralized agents sharing their raw data. Therefore, huge vulne...
Md Ileas Pramanik, Raymond Y.K. Lau, Haluk Demirkan, Md. Abul Kalam Azad
Iqbal H. Sarker, Yoosef B. Abushark, Fawaz Alsolami, Asif Irshad Khan
Cyber security has recently received enormous attention in today’s security concerns, due to the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks, and the huge number of relevant applications. Thus, detecting various cyber-attacks or anomalies in a network and b...
Raisa Abedin Disha, Sajjad Waheed
Abstract To protect the network, resources, and sensitive data, the intrusion detection system (IDS) has become a fundamental component of organizations that prevents cybercriminal activities. Several approaches have been introduced and implemented to thwart malicious activities so far. Due to the e...
Shie‐Yui Liong, C. Sivapragasam
ABSTRACT: Machine learning techniques are finding more and more applications in the field of forecasting. A novel regression technique, called Support Vector Machine (SVM), based on the statistical learning theory is explored in this study. SVM is based on the principle of Structural Risk Minimizati...
Mary Ann McColl, Diane Davies, Peter M. Carlson, Jane Johnston et al.
Objective To present a new measure of community integration, the Community Integration Measure (CIM), and to offer preliminary information about its psychometric properties. Design Validation study. Setting Community. Participants Ninety-two participants placed in 3 subgroups (brain injury survivors...
Mohammad Sazzadul Hoque
There are various approaches being utilized in intrusion detections, but unfortunately any of the systems so far is not completely flawless. So, the quest of betterment continues. In this progression, here we present an Intrusion Detection System (IDS), by applying genetic algorithm (GA) to efficien...
Mahfuzur Rahman, Chen Ningsheng, Md Monirul Islam, Ashraf Dewan et al.