Momotaz Begum, Mehedi Hasan Shuvo, Imran Ashraf, Abdullah Al Mamun et al.
The rising deployment of software in automation and the cognitive skills of machines indicate a machine revolution in modern human civilization. Thus, diagnosing and predicting software faults is crucial to software reliability. In this paper, we first preprocessed four real datasets offered by Nati...
Jahid Hasan Rony, Nazmul Karim, MD. Abdur Rouf, Md. Monirul Islam et al.
The sewerage system is a primary element of a city and is responsible for the congestion of both rain and gray water from homes and industries. It is essential to have a monitoring system and a plan to perform prior expansion in the sewerage management system, to avoid massive disruption. However, t...
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, Mohammad Jakir Hossain et al.
Software defect identification (SDI) is a key part of improving the quality of software projects and lowering the risks that along with maintenance. It does identify the software defect causes that have not been reached yet to get sufficient results. On the other hand, many researchers have recently...
Md Helal Hossen, Md Mohibullah, Chowdhury Shahriar Muzammel, Tasniya Ahmed et al.
Ever since the medieval era, the preponderance of our concentration has been concentrated upon agriculture, which is typically recognized to be one of the vital aspects of the economy in contemporary society. This focus on agriculture can be traced back to the advent of the industrial revolution. Wh...
Momotaz Begum, Nurun Nahar, Kaneez Fatimah, Md. Kamrul Hasan et al.
In this paper, a new wavelet-domain codebook design algorithm is proposed for image coding. The method\nutilizes mean-squared error and variance based selection schemes for good clustering of data vectors in the\ntraining space. As the clustering process terminates only in two steps, it is highly co...
Momotaz Begum, Bimal Chandra Das, Md. Zakir Hossain, Antu Saha et al.
<p>Manipulating high-dimensional data is a major research challenge in the field of computer science in recent years. To classify this data, a lot of clustering algorithms have already been proposed. Kohonen self-organizing map (KSOM) is one of them. However, this algorithm has some drawbacks l...
Momotaz Begum, Mehedi Hasan Shuvo, Md. Golam Mostofa, Abm Kamrul Islam Riad et al.
Outlier reduction is crucial in computer science for improving data quality, analysis accuracy, and modeling robustness. Selection and modification of DBSCAN parameters are essential for optimal clustering accuracy and outlier detection. We developed an adaptive technique to minimize outliers in the...
Md. Zakir Hossain, Md. Jakirul Islam, Md. Waliur Rahman Miah, Jahid Hasan Rony et al.
<p>The amount of data has been increasing exponentially in every sector such as banking securities, healthcare, education, manufacturing, consumer-trade, transportation, and energy. Most of these data are noise, different in shapes, and outliers. In such cases, it is challenging to find the de...
Md. Rashedul Islam, Momotaz Begum, Md. Nasim Akhtar
The advancement of technologies demands a sustainable solution. To ensure the software system’s sustainability, diminishing the software faults before the implementation requires utmost attention, along with an effective procedure to predict the faults. A software system’s maximum number of faults c...
Md. Rashedul Islam, Md. Nasim Akhtar, Momotaz Begum
The upcoming digital transformation of the modern industry will principally build upon the software systems. Certainly, any software system should commit to being fully reliable and free from any deficiency such as software faults. Maintaining the aforementioned consistency is the main objective of ...
Saleha Jasmine, Momotaz Begum
The present study describe the biological aspects of Barbonymus gonionotus including- sex ratio, ovarian maturity, spawning season and fecundity from the Padma River, Bangladesh. Sampling was done, using traditional fishing gears i.e., cast net, square lift net and gill net during January 2011 to De...
Tumpa Rani Shaha, Momotaz Begum, Jia Uddin, Vanessa Yélamos Torres et al.
In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponential growth and exerts a substantial influence on premature mortality. Although numerous research applied machine learning methods to forecast signs of depression. Nevertheless, only a limited number ...
Momotaz Begum, Omar Faruque, Md. Waliur Rahman Miah, Bimal Chandra Das
In operating system, the resource allocation to each process is a critical issue, because the resources are limited and sometimes may not be shareable among processes. An ineffective resource allocation may cause deadlock situation in the system. The banker's algorithm and some other modified algori...
Ayesha Siddika, Momotaz Begum, Fahmid Al Farid, Jia Uddin et al.
In today’s fast-paced world of software development, it is essential to ensure that programs run smoothly without any issues. When dealing with complex applications, the objective is to predict and resolve problems before they escalate. The prediction of software defects is a crucial element in main...
Sabuj Saha, Arif Ahammed, Momotaz Begum