Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim et al.
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification i...
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md. Mohsin Kabir et al.
Sentiment analysis is a method within natural language processing that evaluates and identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and phrases categorizes them into positive, negative, or neutral sentiments. The significance of sentiment analysis lies in its capa...
Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir et al.
Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the medical domain, deep learning-based data augmenta...
Showrov Islam, M Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim et al.
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by ...
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, Md. Mohsin Kabir
Md. Mohsin Kabir, Jamin Rahman Jim, Zoltán Istenes
This review comprehensively investigates the current state and emerging trends of autonomous vehicle terrain detection and segmentation. By systematically reviewing literature from various databases, this study outlines the evolution of detection and segmentation techniques from traditional computer...
Jamin Rahman Jim, Md. Tanzib Hosain, M. F. Mridha, Md. Mohsin Kabir et al.
The Metaverse, a transformative digital realm, holds immense promise for reshaping industries and human interactions while potentially addressing global challenges and democratizing opportunities. However, it also introduces a spectrum of complexities that demand careful navigation. To establish tru...
Iftekhar Anam, N H M Arafat, Md Sadman Hafiz, Jamin Rahman Jim et al.
Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in many industries, such as agriculture, forestry, the military, and disaster management. This is because they have the potential to perform tasks remotely without human intervention. This study comprehensively anal...
Zinniya Taffannum Pritee, Mehedi Hasan Anik, Saida Binta Alam, Jamin Rahman Jim et al.
Nafiz Ahmed, Anik Saha, Md. Abdullah Al Noman, Jamin Rahman Jim et al.
Human–Agent Interaction is at the forefront of rapid development, with integrating deep learning techniques into natural language processing representing significant potential. This research addresses the complicated dynamics of Human–Agent Interaction and highlights the central role of Deep Learnin...
Aritra Das, Fahad Pathan, Jamin Rahman Jim, Md. Mohsin Kabir et al.
The early identification and treatment of tomato leaf diseases are crucial for optimizing plant productivity, efficiency and quality. Misdiagnosis by the farmers poses the risk of inadequate treatments, harming both tomato plants and agroecosystems. Precision of disease diagnosis is essential, neces...
Shahriar Soudeep, Most. Lailun Nahar Aurthy, Jamin Rahman Jim, M. F. Mridha et al.
Aritra Das, Fahad Pathan, Jamin Rahman Jim, Momotaz Rahman Ouishy et al.
Agricultural productivity is essential for global economic development by ensuring food security, boosting incomes and supporting employment. It enhances stability, reduces poverty and promotes sustainable growth, creating a robust foundation for overall economic progress and improved quality of lif...
Md. Mohsin Kabir, Md Sadman Hafiz, Shattik Bandyopadhyaa, Jamin Rahman Jim et al.
The "Tea Leaf Age Quality" dataset represents a pioneering agricultural and machine-learning resource to enhance tea leaf classification, detection, and quality prediction based on leaf age. This comprehensive collection includes 2208 raw images from the historic Malnicherra Tea Garden in Sylhet and...
Fahamidur Rahaman Rafi, Nafeya Rahman Heya, Md Sadman Hafiz, Jamin Rahman Jim et al.
Bulk RNA sequencing is one type of RNA sequencing technique, as well as targeted RNA sequencing and whole transcriptome sequencing. It provides valuable insights into gene expression in specific cell populations or regions. However, these methods often miss the diversity of cells within complex tiss...