Tanjim Mahmud, Koushick Barua, Sultana Umme Habiba, Nahed Sharmen et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of individuals worldwide, causing severe cognitive decline and memory impairment. The early and accurate diagnosis of AD is crucial for effective intervention and disease management. In recent years, deep lear...
Md Sohel, Habiba Sultana, Tayeba Sultana, Md. Al Amin et al.
BACKGROUND: Cancer has become a significant concern in the medical sector with increasing disease complexity. Although some available conventional treatments are still a blessing for cancer patients, short-and long-term adverse effects and poor efficiency make it more difficult to treat cancer patie...
Md Sohel, Partha Biswas, Md. Al Amin, Md. Arju Hossain et al.
Breast cancer (BC) is one of the most common malignancies in women. Although widespread successful synthetic drugs are available, natural compounds can also be considered as significant anticancer agents for treating BC. Some natural compounds have similar effects as synthetic drugs with fewer side ...
Sultana Umme Habiba, Md. Khairul Islam
In most agricultural countries, farmers face a great loss every year due to diseases in crops. So, early detection of tomato plant diseases has achieved a great concern of the researchers. In this paper a deep convolutional neural network model is used to recognize unhealthy plants from the healthy ...
Farzana Tasnim, Sultana Umme Habiba
The world health organization shows us that cardiovascular disease is one of the noteworthy reasons for death in the world. In this paper, data mining classification techniques i.e. Naive Bayes (NB), Support Vector Machine (SVM), k-nearest neighbors' (k-NN), Decision Tree (DT), Neural Network (NN), ...
Sultana Umme Habiba, Md. Khairul Islam, Farzana Tasnim
In recent years, due to advancement in modern technology and social communication, advertising new job posts has become very common issue in the present world. So, fake job posting prediction task is going to be a great concern for all. Like many other classification tasks, fake job posing predictio...
Farzana Tasnim, Sultana Umme Habiba, Tanjim Mahmud, Lutfun Nahar et al.
Protein sequence classification is vital for understanding protein functionalities, aiding in the inference of novel protein functions. Machine learning and deep learning algorithms have revolutionized this field, offering insights into specific protein classes and functions. This study employs Natu...
Habiba Sultana, D. B. Subedi
Sultana Umme Habiba, Tanjim Mahmud, Sultana Rokeya Naher, Mohammad Tarek Aziz et al.
Md. Arju Hossain, Md Habibur Rahman, Habiba Sultana, Asif Ahsan et al.
BACKGROUND: With high inflammatory states from both COVID-19 and HIV conditions further result in complications. The ongoing confrontation between these two viral infections can be avoided by adopting suitable management measures. PURPOSE: The aim of this study was to figure out the pharmacological ...
Habiba Sultana
This paper explores the relationship between sex worker activism and HIV-related discourse in Bangladesh, relating recent developments in activism to the influence of feminist thought. Following their eviction in 1991 from brothels from red light areas, Bangladeshi sex workers started a social movem...
Sultana Umme Habiba, Farzana Tasnim, M. S. Chowdhury, Md. Khairul Islam et al.
Habiba Sultana, A. H. M. Kamal, Gahangir Hossain, Muhammad Ashad Kabir
In digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. By combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper. This method only employs edge pixels that influence ...
Sultana Umme Habiba, Md. Khairul Islam, Sk. Md. Masudul Ahsan
At present deep learning-based object recognition approaches have placed a tremendous effect for classifying different objects. Leaves recognition using supervised learning has shown satisfying performance which may help in various research purposes also. In our work, we have used a deep convolution...
Moien A. B. Khan, Ahmed S. BaHammam, Asma Amanatullah, Khaled Obaideen et al.
Background: Of around 2 billion Muslims worldwide, approximately 1.5 billion observe Ramadan fasting (RF) month. Those that observe RF have diverse cultural, ethnic, social, and economic backgrounds and are distributed over a wide geographical area. Sleep is known to be significantly altered during ...
Md. Khairul Islam, Sultana Umme Habiba, Sk. Md. Masudul Ahsan
Now a days, recognition of plant species and leaves holds a great importance in the field of medical science, environmental issues like maintaining ecological balance, preserving distinct plants etc. Using Deep Convolutional Neural Network (CNN) as a classifier, has shown tremendous success on the f...
Sultana Umme Habiba, Md. Khairul Islam, Lutfun Nahar, Farzana Tasnim et al.
Md Sohel, Habiba Sultana, Tayeba Sultana, Abdullah Al Mamun et al.
Prostate cancer remains one of the most frequent and deadliest malignancies in males, where the rate of disease progression is closely associated with the type of dietary intake, specifically a Western-style diet. Indeed intake of the Asian diet, which contains abundant phytoestrogens, is inversely ...
Sultana Umme Habiba, Tanjim Mahmud, Md. Khairul Islam, Farzana Tasnim et al.
Aminul Islam, Sultana Umme Habiba, Tanjim Mahmud, Md. Habibur Rahman et al.