Future Trends In SQL Databases And Big Data Analytics: Impact Of Machine Learning And Artificial Intelligence DOI
Siful Islam

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism DOI

Arunabha M. Roy,

Jayabrata Bhaduri

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 56, P. 102007 - 102007

Published: April 1, 2023

Language: Английский

Citations

167

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection DOI

Arunabha M. Roy,

Jayabrata Bhaduri,

Teerath Kumar

et al.

Ecological Informatics, Journal Year: 2022, Volume and Issue: 75, P. 101919 - 101919

Published: Nov. 18, 2022

Language: Английский

Citations

153

Deep Learning-Based Cost-Effective and Responsive Robot for Autism Treatment DOI Creative Commons
Aditya Singh, Kislay Raj,

Teerath Kumar

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(2), P. 81 - 81

Published: Jan. 23, 2023

Recent studies state that, for a person with autism spectrum disorder, learning and improvement is often seen in environments where technological tools are involved. A robot an excellent tool to be used therapy teaching. It can transform teaching methods, not just the classrooms but also in-house clinical practices. With rapid advancement deep techniques, robots became more capable of handling human behaviour. In this paper, we present cost-efficient, socially designed called ‘Tinku’, developed assist special needs children. ‘Tinku’ low cost full features has ability produce human-like expressions. Its design inspired by widely accepted animated character ‘WALL-E’. capabilities include offline speech processing computer vision—we light object detection models, such as Yolo v3-tiny single shot detector (SSD)—for obstacle avoidance, non-verbal communication, expressing emotions anthropomorphic way, etc. uses onboard technique localize objects scene information semantic perception. We have several lessons training using these features. sample lesson about brushing discussed show robot’s capabilities. Tinku cute, loaded lots features, management all processes mind-blowing. supervision experts its condition application taken care of. small survey on appearance discussed. More importantly, it tested children acceptance technology compatibility terms voice interaction. helps autistic kids state-of-the-art models. Autism Spectral disorders being increasingly identified today’s world. The that prone interact comfortably than instructor. To fulfil demand, presented cost-effective solution form some common autism-affected child.

Language: Английский

Citations

95

An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT) DOI
Sonain Jamil,

Arunabha M. Roy

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 158, P. 106734 - 106734

Published: March 1, 2023

Language: Английский

Citations

69

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review DOI Creative Commons
Wisal Khan,

Teerath Kumar,

Cheng Zhang

et al.

Big Data and Cognitive Computing, Journal Year: 2023, Volume and Issue: 7(2), P. 97 - 97

Published: May 12, 2023

The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. databases were created to organize allow horizontal expansion. databases, on other hand, support scalability can efficiently process large amounts unstructured data. Organizational needs determine which paradigm is appropriate, yet selecting best option not always easy. Differences database design are what set apart. Each type also consistently employs mixed-model approach. Therefore, it challenging cloud users transfer their among different storage services (CSPs). There several paradigms being monitored by various platforms (IaaS, PaaS, SaaS, DBaaS). purpose this SLR examine articles that address portability interoperability, as well architectures Numerous studies comparing capabilities particularly Oracle RDBMS Document Database (MongoDB), terms scale, performance, availability, consistency, sharding, presented part state art. Research indicates with specifically tailored structures, may be analytics, while suited online transaction (OLTP) purposes.

Language: Английский

Citations

63

Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity DOI

Arunabha M. Roy,

Rikhi Bose,

Veera Sundararaghavan

et al.

Neural Networks, Journal Year: 2023, Volume and Issue: 162, P. 472 - 489

Published: March 13, 2023

Language: Английский

Citations

59

A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity DOI

Arunabha M. Roy,

Suman Guha

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106049 - 106049

Published: March 7, 2023

Language: Английский

Citations

45

A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection DOI
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari

et al.

Cognitive Computation, Journal Year: 2022, Volume and Issue: 16(4), P. 1979 - 1991

Published: Nov. 14, 2022

Language: Английский

Citations

47

A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture DOI
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 120, P. 105895 - 105895

Published: Jan. 28, 2023

Language: Английский

Citations

28

Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects DOI
Jui‐Sheng Chou,

Pei-Lun Chong,

Chi‐Yun Liu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 131, P. 107744 - 107744

Published: Jan. 12, 2024

Language: Английский

Citations

14