output
20092026
most citedNoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison

368 citations

53 papers

cs.CL2026

Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques

Weikang Yang, S M Mazharul Hoque Chowdhury, Wei Jin

Text is one of the most common ways to store data in this computerized world. At a glance, it may seem that those data are not interconnected. But in reality, data can have hidden…

cs.DC2026

Optimising Blockchain Scalability for Real-Time IoT Applications

Hasan Mahmud Rhidoy, Mahdi H. Miraz, Iftekhar Salam

The convergence of blockchain and the Internet of Things (IoT) enables secure, decentralised, and verifiable data exchange across distributed smart environments. However, tradition…

cs.CL2026

Detecting Hate and Inflammatory Content in Bengali Memes: A New Multimodal Dataset and Co-Attention Framework

Rakib Ullah, Mominul islam, Md Sanjid Hossain +1

Internet memes have become a dominant form of expression on social media, including within the Bengali speaking community. While often humorous, memes can also be exploited to spre…

cs.CV2025★ 7 cited

Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks

Abdullah Al Shafi, Abdul Muntakim, Pintu Chandra Shill +2

Skin cancer can be identified by dermoscopic examination and ocular inspection, but early detection significantly increases survival chances. Artificial intelligence (AI), using an…

cs.LG2025★ 4 cited

Machine learning for fraud detection in digital banking: a systematic literature review REVIEW

Md Zahin Hossain George, Md Khorshed Alam, Md Tarek Hasan

This systematic literature review examines the role of machine learning in fraud detection within digital banking, synthesizing evidence from 118 peer-reviewed studies and institut…

cs.CL2025★ 24 cited

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models

Subhey Sadi Rahman, Md. Adnanul Islam, Md. Mahbub Alam +5

Large Language Models (LLMs) are trained on vast and diverse internet corpora that often include inaccurate or misleading content. Consequently, LLMs can generate misinformation, m…