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- International University of Business Agriculture and TechnologyBD4 papers
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7 papers · 1 filter
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
Asif Newaz, Abdullah Taharat, Md Sakibul Islam +1
Ovarian cancer (OC) is one of the most prevalent types of cancer in women. Early and accurate diagnosis is crucial for the survival of the patients. However, the majority of women…
Numerical Analysis of a Highly Sensitive SOI MRR Refractive Index Sensor with Performance Enhancement using Graphene and Gold
Tasin Intisar, Ahmed Shadman Alam, Ishtiaqul Hoque +1
This study proposes a simulation-based design for a Silicon-On-Insulator (SOI) ring resonator with a Figure of Merit (FOM) of 56.15 and a high sensitivity of up to 730 nm/RIU. The…
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
Md Farhan Ishmam, Md Sakib Hossain Shovon, M. F. Mridha +1
The multimodal task of Visual Question Answering (VQA) encompassing elements of Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers to questions on…
Future Industrial Applications: Exploring LPWAN-Driven IoT Protocols
Mahbubul Islam, Hossain Md. Mubashshir Jamil, Samiul Ahsan Pranto +3
The Internet of Things (IoT) will bring about the next industrial revolution in Industry 4.0. The communication aspect of IoT devices is one of the most critical factors in choosin…
Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning
Tanveer Ahmed Belal, G. M. Shahariar, Md. Hasanul Kabir
This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment i…
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
Raian Rahman, Rizvi Hasan, Abdullah Al Farhad +3
Automatic chart to text summarization is an effective tool for the visually impaired people along with providing precise insights of tabular data in natural language to the user. A…