Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification
INTRODUCTION: In the field of medical imaging, accurate categorization of lung tissue is
essential for timely diagnosis and management of lung-related conditions, including cancer …
essential for timely diagnosis and management of lung-related conditions, including cancer …
A Step Towards Automated Haematology: DL Models for Blood Cell Detection and Classification
INTRODUCTION: Deep Learning has significantly impacted various domains, including
medical imaging and diagnostics, by enabling accurate classification tasks. This research …
medical imaging and diagnostics, by enabling accurate classification tasks. This research …
[PDF][PDF] A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
In the rapidly evolving landscape of medical diagnostics, the early detection and accurate
classification of skin cancer remain paramount for effective treatment outcomes. This …
classification of skin cancer remain paramount for effective treatment outcomes. This …
Machine Learning Based Stroke Predictor Application
When blood flow to the brain stops or slows down, brain cells die because they don't get
enough oxygen and nutrients. This condition is known as an ischemic stroke. It is now the …
enough oxygen and nutrients. This condition is known as an ischemic stroke. It is now the …
Enhancing Heart Disease Prediction Accuracy Through Hybrid Machine Learning Methods
INTRODUCTION: Over the past few decades, heart disorders have been the leading cause
of mortality worldwide. People over 55 must get a thorough cardiovascular examination to …
of mortality worldwide. People over 55 must get a thorough cardiovascular examination to …
A Study on the Performance of Deep Learning Models for Leaf Disease Detection
G Sucharitha, M Sirisha, K Pravalika… - … on Internet of Things, 2024 - publications.eai.eu
The backbone of our Indian economy is agriculture. Plant diseases are a key contributor to
substantial reductions in crop quality and quantity. Finding leaf diseases is a crucial job in …
substantial reductions in crop quality and quantity. Finding leaf diseases is a crucial job in …
Efficient Usage of Energy Infrastructure in Smart City Using Machine Learning
R Rajaan, BK Baishya, TV Rao… - … on Internet of Things, 2024 - publications.eai.eu
The concept of smart cities revolves around utilizing modern technologies to manage and
optimize city operations, including energy infrastructure. One of the biggest problems that …
optimize city operations, including energy infrastructure. One of the biggest problems that …
Applied Deep learning approaches on canker effected leaves to enhance the detection of the disease using Image Embedding and Machine learning Techniques
KB Narayanan, DK Sai, KA Chowdary… - … on Internet of Things, 2024 - publications.eai.eu
Canker, a disease that causes considerable financial losses in the agricultural business, is a
small deep lesion that is visible on the leaves of many plants, especially citrus/apple trees …
small deep lesion that is visible on the leaves of many plants, especially citrus/apple trees …
Credit Card Deception Recognition Using Random Forest Machine Learning Algorithm
I Jaiswal, A Bharadwaj, K Kumari… - … on Internet of Things, 2024 - publications.eai.eu
INTRODUCTION: The credit card deception poses a global threat, resulting in significant
monetary losses and identity theft. Detecting fraudulent transactions promptly is crucial for …
monetary losses and identity theft. Detecting fraudulent transactions promptly is crucial for …
An Efficient Crop Yield Prediction System Using Machine Learning
Farming is considered the biggest factor in strengthening the economy of any country. It also
has significant effects on GDP growth. However, due to a lack of information and …
has significant effects on GDP growth. However, due to a lack of information and …