Enhancing mango disease diagnosis through eco-informatics: A deep learning approach
AA Salamai - Ecological Informatics, 2023 - Elsevier
The mango is one of the most popular and economically important fruits in the world, but it is
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …
vulnerable to various diseases that can significantly reduce the quality and yield of the fruit …
Brain tumor classification using VGG 16, ResNet50, and inception V3 transfer learning models
R Pillai, A Sharma, N Sharma… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Brain Tumor is a deadly diagnosis that, if not detected early on, can cause significant
damage to a patient's brain, disrupting the body's functions and even leading to death …
damage to a patient's brain, disrupting the body's functions and even leading to death …
Proposed CNN model for classification of brain tumor disease
A brain tumor is a group of abnormal cells within the brain or surrounding tissues. Several
variables, including family history, radiation exposure, and some genetic disorders, might …
variables, including family history, radiation exposure, and some genetic disorders, might …
Wireless channel corrupted image denoising using residual learning of adaptive wavelet with dilated deep convolutional neural network
M Sreedhar, K Aparna - Signal, Image and Video Processing, 2024 - Springer
In digital image transmission, channel coding is essential for data integrity and accurate
reception during digital communication. While minimizing the consequences of the channel …
reception during digital communication. While minimizing the consequences of the channel …
Fine-Tuned EfficientNetB4 Transfer Learning Model for Weather Classification
In meteorology and climate research, weather classification is known as weather
classification, identifying the present weather patterns based on readings and observations …
classification, identifying the present weather patterns based on readings and observations …
Detection of Alzheimer's Risk Level using Inception V3 Transfer Learning Model
Alzheimer's disease is a degenerative brain disease that worsens with time. Alterations
characterize it in the brain, leading to specific proteins' deposition. Alzheimer's disease …
characterize it in the brain, leading to specific proteins' deposition. Alzheimer's disease …
Intrusion detection system extended CNN and artificial bee colony optimization in wireless sensor networks
Abstract Wireless Sensor Network (WSN) communication encounters security vulnerabilities,
particularly with network traffic being susceptible to attacks during routing. The effective use …
particularly with network traffic being susceptible to attacks during routing. The effective use …
Classification of Plant Diseases using DenseNet 121 Transfer Learning Model
A significant risk to agricultural output and food security is posed by plant diseases. Plant
diseases may be identified and diagnosed using traditional methods, but these procedures …
diseases may be identified and diagnosed using traditional methods, but these procedures …
Detection & Classification of Abnormalities in GI Tract through MobileNetV3 Transfer Learning Model
The Gastrointestinal Tract is an essential organ system in the human body that plays a
crucial role in food digestion, absorption, and elimination. Several Gastrointestinal Tract …
crucial role in food digestion, absorption, and elimination. Several Gastrointestinal Tract …
A Deep Learning Approach for Detection and Classification of Ten Species of Monkeys
The IUCN's Red List of Endangered Species has recently classified several monkey species
as vulnerable or endangered due to the decline in indigenous populations of different …
as vulnerable or endangered due to the decline in indigenous populations of different …