Python Based Smart Trial Room DOI

T.S. Arulananth,

Bittu Kumar, Kiran Dasari

et al.

Published: Dec. 21, 2022

Other material endeavors hit during these challenging intervals, as the overwhelming majority of things moved to virtual mode and challengers attempted advance beyond one. Every small shop can assist their customers with an internet-based trial room a without danger contracting illness. The advantage using this method is that it saves time effort evaluate clothing accurately. Everything, from food apparel, now available online. Instead travelling shopping malls textile stores, where they have try on items in see if fit correctly how appear themselves, go internet. Furthermore, most limited number rooms are overcrowded. As result, people wait long time, which inconvenient. Trial not so secure no one be certain hidden cameras present. online buying websites extremely safe. People simply choose variety outfits. On other hand, do know piece will them until brought them. by just selecting goods seeing appears article uses python create "Smart Room" allows users garments virtually. This project comprises homepage several clothing-related products comparable e-commerce website. HTML CSS were used Users product like, launch webcam show thing looks Multiple also at same time. major goal experiment greater interaction features clothes increase sales.

Language: Английский

An Analysis of Algorithms and Methods Based on Image Processing for Medical Applications DOI

Aakifa Shahul,

Balakumar Muniandi, Mukundan Appadurai Paramashivan

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 173 - 186

Published: May 6, 2024

Image processing has become more crucial in medical applications due to its ability collect and evaluate data from images. This book chapter provides an overview of various image techniques used for applications, including deep learning algorithms, segmentation techniques, a combination both. Additionally, the authors discuss other studies that analysed X-rays identify cancer, brain tumours, disorders. The results study demonstrate how have potential significantly improve sickness detection speed accuracy, facilitating early diagnosis treatment. planning therapies accuracy diagnoses can both be enhanced by use tools. Healthcare workers' recognise manage variety conditions will undoubtedly increase.

Language: Английский

Citations

127
Building Information Modeling DOI
Williams Kennedy George,

Sam Edidiong Sunday,

Digvijay Pandey

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 305 - 331

Published: May 6, 2024

Building information modeling (BIM) has changed architecture, engineering, and construction professionals' built environment conceptualization, design, building, management. BIM tool evolution, principles, components, modelling methodology software, user interface basic functions, post-construction benefits, safety, intellectual property are covered in this chapter. integrates geometry, spatial relationships, geographical data, material qualities for interdisciplinary communication decision-making. This synergy boosts project efficiency by improving design accuracy, timelines, conflict resolution. Technical knowledge professional teamwork needed to use effectively. competency needs a paradigm shift schooling growth. As AEC digitises, BIM's potential is crucial proficiency.

Language: Английский

Citations

124
Impact of blockchain in healthcare system DOI
Shiela David, Kavitha Duraipandian, Deepanjali Chandrasekaran

et al.

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 37 - 57

Published: Jan. 1, 2023

Language: Английский

Citations

62
Application of switching median filter with L2 norm-based auto-tuning function for removing random valued impulse noise DOI

P. Malin Bruntha,

S. Dhanasekar,

D. Hepsiba

et al.

Aerospace Systems, Journal Year: 2022, Volume and Issue: 6(1), P. 53 - 59

Published: Sept. 5, 2022

Language: Английский

Citations

53
A Comprehensive Survey of Deep Learning Approaches in Image Processing DOI Creative Commons
Μαρία Τρίγκα, Ηλίας Δρίτσας

Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 531 - 531

Published: Jan. 17, 2025

The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach traditional methodologies. This survey offers an in-depth exploration DL approaches that have redefined processing, tracing their evolution from early innovations to latest state-of-the-art developments. It also analyzes progression architectural designs and paradigms significantly enhanced ability process interpret complex visual data. Key such as techniques improving model efficiency, generalization, robustness, are examined, showcasing DL's address increasingly sophisticated image-processing tasks across diverse domains. Metrics used for rigorous evaluation discussed, underscoring importance performance assessment in varied application contexts. impact is highlighted through its tackle challenges generate actionable insights. Finally, this identifies potential future directions, including emerging technologies like quantum computing neuromorphic architectures efficiency federated privacy-preserving training. Additionally, it highlights combining with edge explainable artificial intelligence (AI) scalability interpretability challenges. These advancements positioned further extend applications DL, driving innovation processing.

Language: Английский

Citations

1
Molecular Dynamics Simulation for Serial and Parallel Computation Using Leaf Frog Algorithm DOI
Debangan Mandal, Kumar A. Shukla,

Aditya Ghosh

et al.

Published: Nov. 25, 2022

This will serve as a useful and illuminating case study for demonstrating how molecular dynamics simulation may be implemented its computational execution time can optimised. Molecular Dynamics is teaching tool that simulates the behaviour of molecules in reactive combination. To better understand complexities chemical processes, we have recently been obliged forced to embrace help methodologies. In this work, show reproduce Leaf Frog Algorithm determining velocities response external forces. A solution basic equation motion based on Newton's laws motion. That kind notoriously memory CPU intensive. The idea parallelizing techniques one baby step toward more comprehensive workable solution. Time-to-execution has simulated both serial parallel computing by taking kinetic potential energy into account.

Language: Английский

Citations

18
Development of a Deep Neural Network (DNN) Model for Feature Selection from Satellite Images DOI

Soma Mitra,

Debkumar Chowdhury, Mauparna Nandan

et al.

Journal of the Indian Society of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Language: Английский

Citations

0
Intelligent Decision Optimization of Big Data in the Digital Economy Under Deep Reinforcement Learning DOI
Liang Zhu

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 37 - 46

Published: Jan. 1, 2025

Language: Английский

Citations

0
Image processing in the conservation of historic urban areas: the case of Dujiangyan, China DOI Creative Commons
Daili Li, Yunjia Huang,

Tomo Inoue

et al.

Built Heritage, Journal Year: 2025, Volume and Issue: 9(1)

Published: March 10, 2025

Abstract Understanding the historical evolution of spatial layout and architectural styles in a historic area is imperative for its preservation rejuvenation. However, conventional methods such as document collation field surveys are time- resource-intensive. This research focuses on Dujiangyan city (Dujiangyan Old Town) uses computer vision techniques to increase efficiency accuracy information capture. Semantic segmentation employed derive building footprints from remote sensing satellite images captured three points time over period nearly five decades, facilitating comparison patterns identification different panoramic street views. The distribution analysed urban planning perspectives. experimental findings illustrate well-preserved discernible development strategies across various periods. Image-processing have emerged effective tools analysing dynamics identifying styles, thereby yielding quantifiable data essential obtaining nuanced understanding areas. These insights can contribute planning, management, efforts aimed at

Language: Английский

Citations

0
Machine Learning Based Skin Cancer Detection and Recognitions Techniques in IoT Environment DOI

Arhath Kumar,

Veera Talukdar, Suryansh Bhaskar Talukdar

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 139 - 149

Published: Jan. 1, 2025

Language: Английский

Citations

0