A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images

S Sharma, K Guleria - Multimedia Tools and Applications, 2024 - Springer
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …

A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks

S Sharma, K Guleria - Procedia Computer Science, 2023 - Elsevier
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in developing and penurious countries where contamination, overcrowded, and unsanitary …

Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms

W Peng, OK Sadaghiani - Biomass and Bioenergy, 2023 - Elsevier
Forest is considered a significant source of woody biomass production. Sustainable
production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and …

Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey

MN Halgamuge - IEEE Communications Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Deep learning shows immense potential for strengthening the cyber-resilience of renewable
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …

An Analytical Review on the Utilization of Machine Learning in the Biomass Raw Materials, Their Evaluation, Storage, and Transportation

W Peng, OK Sadaghiani - Archives of Computational Methods in …, 2023 - Springer
The utilization of biomass, as an energy resources, is required four main steps of production,
pre-treatment, bio-refinery, and upgrading. Also, the production step of the biomass raw …

An Automatic Fine-Tuned InceptionV3 Model for Groundnut Leaf Disease Multiclass Classification

A Kaur, V Kukreja, M Kumar… - 2024 5th …, 2024 - ieeexplore.ieee.org
There are various diseases which attack the groundnut crops resulting in the worst quality of
nut production. To create an automatic method for spotting them early, in the proposed work …

Deep Learning-based VGG16, VGG19, and ResNet Models for Grapevine Disease Classification

S Vats, J Anand, V Kukreja… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Identifying grape plant disease is very important to keep the vineyard healthy and make sure
we can grow good grapes. This study looks into using deep learning models like VGG16 …

Pre-trained VGG16 and EfficientNetB3 for Multiclass Classification of Orange Leaf Diseases

A Kaur, V Kukreja, N Thapliyal, M Aeri… - … for Innovation in …, 2024 - ieeexplore.ieee.org
Identifying orange leaf disease is very important to make sure that citrus fruit farms are
healthy and produce a lot of fruits. In this research, we used two different deep-learning …

Multiclass Classification of Tomato Leaf Diseases using a Hybrid of LSTM and CNN Model

A Kaur, V Kukreja, M Kumar… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Identifying diseases on tomato leaves is very important as tomatoes contain a rich amount of
vitamins and other essential compounds for the human body. It helps keep crops healthy …

Multi-class Classification of Coconut Leaf Disease using Fine-tuned ResNet50 Model

A Kaur, V Kukreja, N Garg, K Rajput… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
Coconuts are an important staple crop and vital commodity in Southeast Asia. There are
various diseases causing coconut tree health degradation including leaflets, CCI caterpillars …