Multi-scale object detection and classification using machine learning and image processing

N Yuvaraj, K Rajput, K Suganyadevi… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Multi-scale object detection and category has grown to be important duties in numerous
domain names, including laptop imaginative and prescient, autonomous driving, and …

[HTML][HTML] A sco** review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans

MN Nguyen - Biomedical Engineering Advances, 2024 - Elsevier
Lung cancer remains the most lethal cancer, primarily due to late diagnoses. Thus, early
detection of lung cancer is critical to improving patient outcomes. While conventional …

Utilizing Cloud Computing for Distributed Training of Deep Learning Models

S Dhanasekaran, K Rajput, N Yuvaraj… - … Conference on Data …, 2024 - ieeexplore.ieee.org
Cloud computing has emerged as a powerful solution for lots of computational
responsibilities, including system studying and deep getting to know. Deep knowledge of …

Challenges and Barriers to Smart Farming Adaptation: A Technical, Economic, and Social Perspective

S Tiwari, B Bhardwaj, D Arora… - Smart Agritech: Robotics …, 2024 - Wiley Online Library
Smart farming generally refers to the application of advanced technologies in the farming. It
has the potential to change agriculture in a big way by making it more productive and …

Secure Decentralization: Examining the Role of Blockchain in Network Security

S Monga, P Gupta, J Logeshwaran… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
Blockchain generation has emerged as a novel answer for securing decentralized networks.
This technology, which was first created for use in crypto currencies, has received enormous …

Machine Learning and AI in Tele-Communication Networks and Iota for Predictive Maintenance

S Ponnambili, K Suganyadevi, K Rajput… - … Conference on Data …, 2024 - ieeexplore.ieee.org
This has emerge as important tools in the field of tile-communication networks and the net of
factors (IoT). These technologies have the ability to analyze large amounts of statistics and …

Next-Generation Tele-Communication Networks and IoT: Advancements and Challenges

J Logeshwaran, D Mitra, P Aggarwal… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
The speedy advancement of generation has transformed the conventional tile-
communication networks into next-era networks, incorporating new features and skills to …

Exploring the Synergy between Network Security and Blockchain Technology

P Aggarwal, T Thamaraimanalan… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
They may be the two critical components of current computing systems. As threats to on-line
safety continue to grow, modern solutions may be needed to shield sensitive statistics and …

Applying Machine Learning to Enhance Intrusion Detection Systems

A Garg, N Ramya, R Gupta… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Gadget up to date has shown its effectiveness in several packages, identifying styles and
detecting anomalies. One such software enhances intrusion detection structures (IDS) …

Evaluating the Impact of HRM Algorithms on Employee Morale in Multinational Corporations

J Logeshwaran, R Gupta, A Garg - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper offers a complete analysis of the effect of human resources management (HRM)
algorithms on employee morale in multinational groups. To this quit, the study uses worker …