Karim Mohammed Rezaul

• Professor
• Professor at Wrexham University

The research introduces a revolutionary Internet of Things (IoT)-based system for fish farming, designed to significantly enhance efficiency and cost-effectiveness. By integrating the NodeMcu12E ESP8266 microcontroller, this system automates the management of critical water quality parameters such as pH, temperature, and oxygen levels, essential fo...

Sound classification is a multifaceted task that necessitates the gathering and processing of vast quantities of data, as well as the construction of machine learning models that can accurately distinguish between various sounds. In our project, we implemented a novel methodology for classifying both musical instruments and environmental sounds, ut...

Sound classification is a multifaceted task that necessitates the gathering and processing of vast quantities of data, as well as the construction of machine learning models that can accurately distinguish between various sounds. In our project, we implemented a novel methodology for classifying both musical instruments and environmental sounds, ut...

The study offers a thorough examination of the accumulation and distribution of wealth among billionaires through the application of big data analytics methodologies. This research centres on an extensive dataset known as "Billionaires.csv," which encompasses a range of information about billionaires from diverse nations, including their demographi...

Mathematics Anxiety (MA) is a pessimistic emotional attitude towards math that negatively affects mathematics learning. Due to its adverse impacts on students, assessing Mathematics Anxiety (MA) in early-stage has become a burning need over time. Generally, the existing measures of assessing MA adopt primitive questionnaires, and unweighted rating...

In this study, specifically for the detection of ripe/unripe tomatoes with/without defects in the crop field, two distinct methods are described and compared from captured images by a camera mounted on a mobile robot. One is a machine learning approach, known as ‘Cascaded Object Detector’ (COD) and the other is a composition of traditional customis...

The present study has introduced a complete ICT based Mathematics Skill Development Program (MSDP) web service that aims to enhance the positive attitudes of students towards Maths. The entire system is designed and implemented in such ways that students can learn Maths with fun and practical experiences in the classroom rather than only theoretica...

Cloud computing is the concept used to decode Daily Computing Issues. It is essentially a virtual pool of resources and also provides these tools to customers through the Internet. It is the net-based advancement and utilized in computer technology. The widespread problem connected with cloud computing is information privacy, protection, anonymity,...

Social networking sites (SNS) have become more prevalent over the previous decade. Interactive design and addictive characteristics have made SNS an almost indispensable part of life, particularly among university learners. Previous studies have shown that excessive use of SNS adversely affects learners' academic success as well as mental health. H...

Technology has immensely changed the world over the last decade. As a consequence, the life of the people is undergoing multiple changes that directly have positive and negative effects on health. Less physical activity and a lot of virtual involvements are pushing people into various health-related issues and heart disease is one of them. Currentl...

Credit fraud (also known as credit card fraud) in e-business is a growing concern, especially in the banking sector. E-business has been established mainly on the platform of Internet system. With the evolution of electronic technologies, a faster e-transaction has been made possible by the Internet. It has been noticed that Internet fraud or e-bus...

Internet is the main tool for e-business. E-transaction is made faster by Internet. With the increase of e-transaction internet fraud or e-business fraud is increasing. Credit fraud in the banking sector is a growing concern. Few sort of card (debit/credit) fraud is decreasing by providing detection and prevention system from banks and government....

Financial industry is a heart of every robust economy, if it collapses so will the economy and it is absolutely evident from current recession in UK, and in turn, Information Technology has become the heart of banking sector. Investment and reliance in e-banking innovation by its providers to offer their services makes it essential to understand ho...

In this era of globalization, information security is becoming more important because the world is becoming highly interconnected with the Internet. At present customers can do banking online which is easy and time saving and at the same time they are vulnerable to threats. This paper seeks to investigate the current debate regarding the threats an...

E-commerce is growing at an exceptional rate as more organizations are offering their goods and services on-line every day. Importantly, this growth is being matched by the number of people gaining access to the Internet in a variety of ways. E-commerce offers opportunities as well as threats. Information is crucial for any organization especially...

The contribution of microfinance in the development of global economy is undoubtedly admissible. The research has been carried out to explore the impact of microfinance on the livelihood of the clients. The study emphasized to detect clear-cut impact of microfinance on poverty eradication, livelihood security, and on the role of Information and Com...

In this research, statistical analyses of Web traffic were carried out based on the Empirical Distribution Function (EDF) test. Several probability distributions, such as Pareto (simple), extreme value, Weibull (three parameters), exponential, logistic and Pareto (generalized) have been chosen to fit the experimental traffic data (traces), which sh...

For over a decade researchers have been reporting the impact of self-similar long-range dependent network traffic. Long-range dependence (LRD) is of great significance in traffic engineering problems such as measurement, queuing strategy, buffer sizing and admission and congestion control. In this research, in order to determine the existence of LR...

Many researchers have discussed the effects of heavy-tailedness in network traffic patterns and shown that Internet traffic flows exhibit characteristics of self-similarity that can be explained by the heavy-tailedness of the various distributions involved. Self-similarity and heavy-tailedness are of great importance for network capacity planning p...

Many researchers have discussed the effects of heavy-tailedness in network traffic patterns and shown that Internet traffic flows exhibit characteristics of self-similarity that can be explained by the heavy-tailedness of the various distributions involved. Self-similarity and heavy-tailedness are of great importance for network capacity planning p...

Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self -similarity. Also, the rapid development of technologies has widened the scope of network and Internet applications and, in turn, increased traffic. The self-similar nature of this data traffic may exhibit...

Long-range dependence characteristics have been observed in many natural or physical phenomena. In particular, a significant impact on data network performance has been shown in several papers. Congested Internet situations, where TCP/IP buffers start to fill, show long-range dependent (LRD) self-similar chaotic behaviour. The exponential growth of...

This paper surveys techniques for the recognition and treatment of self-similar network or internetwork traffic. Various researchers have reported traffic measurements that demonstrate considerable burstiness on a range of time scales with properties of self-similarity. Rapid technological development has widened the scope of network and Internet a...

This paper surveys techniques for the recognition and treatment of self-similar network or internetwork traffic. Various researchers have reported traffic measurements that demonstrate considerable burstiness on a range of time scales with properties of self-similarity. Rapid technological development has widened the scope of network and Internet a...

Long-range dependence characteristics have been observed in many natural or physical phenomena. In particular, a significant impact on data network performance has been shown in several papers. Congested Internet situations, where TCP/IP buffers start to fill, show long-range dependent (LRD) self-similar chaotic behaviour. The exponential growth of...

Long-range dependent (LRD) self-similar chaotic behaviour has been found to be present in internet traffic by many researchers. The ‘Hurst exponent’, H, is used as a measure of the degree of long-range dependence. A variety of techniques exist for estimating the Hurst exponent; these deliver a variable efficacy of estimation. Whilst ways of exploit...

It was discovered that some LAN traffic exhibits self-similar rather than Poisson behaviour and there is ongoing research towards finding and improving suitable estimators which may help to characterize various types of network traffic. Such characterization can be potentially applied for control purposes such as traffic shaping, load balancing, et...

The intensity of long-range dependence (LRD) of the communications network traffic can be measured using the Hurst parameter. There are various estimators of Hurst parameter which differ in reliability of their results. Getting reliable estimator can help to improve traffic characterization, performance modelling, planning and engineering of the re...

In this research statistic analyses of Web traffic were carried out based on Empirical Distribution Function (EDF) test. Several probability distributions, such as Pareto (simple), extreme value, Weibull (three parameters), exponential, logistic, Pareto (generalized) have been chosen to fit the experimental traffic data (traces) which show an analy...

The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured using the Hurst parameter. LRD characteristics in computer networks, however, present a fundamentally different set of problems in research towards the future of network design. There are various estimators of the Hurst parameter, which differ in the rel...

The rapid development of network technologies has widened the scope of Internet applications and, in turn, increased both Internet traffic and the need for its accurate measurement, modelling and control. Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self-s...

Empirical Distribution Function test was used for statistical analyses of World Wide Web traffic. Several probability distributions, such as normal, lognormal, Pareto (simple), extreme value, Weibull (three parameters), exponential, logistic, Pareto (generalized), have been chosen to fit the experimental traffic data (traces), which show an analyti...