Search Results for author:
Found 5 papers, 0 papers with code
Unleashing Modified Deep Learning Models in Efficient COVID19 Detection
Our analysis shows that these tactics improve model performance and resilience for advancing COVID19 prediction and detection and shows how Deep Learning can improve disease handling.
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward
This chapter explores the complex realm of autonomous cars, analyzing their fundamental components and operational characteristics.
Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset
We compared the binary classification performance of eight prominent deep learning models: DenseNet 121, DenseNet 169, DenseNet 201, EffecientNet b0, EffecientNet lite4, GoogleNet, MobileNet, and ResNet18 for their binary classification performance on combined Pulmonary Chest Xrays dataset.
JutePestDetect: An Intelligent Approach for Jute Pest Identification Using Fine-Tuned Transfer Learning
In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector.
AI & Blockchain as sustainable teaching and learning tools to cope with the 4IR
This paper presents a review of existing research on AI and block chain in education, analyzing case studies and exploring the potential benefits and challenges of these technologies.
