Shams Forruque Ahmed, P. Senthil Kumar, Maliha Kabir, Fatema Tuz Zuhara et al.
Increasing human population, deforestation and man-made climate change are likely to exacerbate the negative effects on freshwater ecosystems and species endangerment. Consequently, the biodiversity of freshwater continues to dwindle at an alarming rate. However, this particular topic lacks sufficie...
Shams Forruque Ahmed, Maliha Kabir, Aanushka Mehjabin, Fatema Tuz Zuhara Oishi et al.
Continual global energy scarcity and its future challenges, as well as environmental disasters, are causing global devastation. Additionally, a substantial quantity of food is being wasted regularly. Therefore, the adoption of circular bioeconomy principles and the bioconversion of wasted food appea...
Aanushka Mehjabin, Maliha Kabir, Luigina Micolucci, Most Mauluda Akhtar et al.
Fibrotic disorders are defined by accumulating excessive extracellular matrix (ECM) components, especially collagens, in various organs, leading to tissue scarring and organ dysfunction. These conditions are associated with significant challenges in the healthcare system because of their progressive...
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maliha Kabir, Shaila Afrin et al.
Abstract Deep learning (DL) allows computer models to learn, visualize, optimize, refine, and predict data. To understand its present state, examining the most recent advancements and applications of deep learning across various domains is essential. However, prior reviews focused on DL applications...
Zulkarnain Saurav, Maliha Mehjabin Mitu, Nigar Sultana Ritu, Md. Afanur Hasan et al.
Decision Tree (DT) induction is one of the popular data modelling techniques that commonly used in many real-world supervised learning problems. DT is a top-down recursive divide-and-conquer algorithm. It divides the datasets until all the instances of a sub-dataset belongs to the same class value. ...
Maliha Mehjabin Mitu, Sadot Arefin, Zulkarnain Saurav, Md. Afanur Hasan et al.
Decision tree is one of the most popular classifiers in supervised learning to address classification tasks. It is easy to build and easy to understand. It is a divide-and-conquer algorithm and provides a clear path for making decisions. Decision tree can be used for both regression and classificati...
Arefin Abu Isha Md. Sadot, Mitu Maliha Mehjabin, Aziz Mahafuz
Large Language Model (LLM)-based transformers, such as Bidirectional Encoder Representations from Transformers (BERT), are currently gaining significant attention for various Natural Language Processing (NLP) tasks, such as machine translation, classification, and auto-completion. These transformer ...
Sumaya Tabassum, Asif Iqbal Ahmed, Shoeb Rahman, Mayida Rubya Tithi et al.
Per- and polyfluoroalkyl substances (PFAS), a large group of developing contaminants, have recently become the subject of increased concern due to their potentially hazardous effects. They are classified as poisonous substances that can be found in a variety of aquatic situations. The widespread usa...
Mohammad Nazmul Alam Khan, Syeda Sadia Mehjabin, Maliha Tabassum, Ananda Kumar Biswas
The Digital Bangladesh was a political promise to be achieved by 2021. Consequently, Bangladesh has observed a substantial improvement over recent years in the digital sphere. However, most public universities could not provide online education to students during the Covid-19 pandemic due to various...
Durjoy Ghosh, Maliha Mehjabin, Md. Eshmam Rayed, M. F. Mridha et al.
Cancer diagnosis has entered an era where precision depends not only on image quality but on the intelligence that interprets it. While deep learning has revolutionized medical imaging, its reliance on centralized data limits collaboration due to privacy constraints and fragmented data ownership. Fe...