Application of Machine Learning approach on Halal meat authentication principle, challenges, and prospects: A Review
A Mustapha, I Ishak, NNM Zaki, MR Ismail-Fitry… - Heliyon, 2024 - cell.com
Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …
[HTML][HTML] Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture
M Gulhane, S Kumar, S Choudhary, N Rakesh, Y Zhu… - SLAS technology, 2024 - Elsevier
In today's digital world, with growing population and increasing pollution, unhealthy lifestyle
habits like irregular eating, junk food consumption, and lack of exercise are becoming more …
habits like irregular eating, junk food consumption, and lack of exercise are becoming more …
A Pre-trained MobileNetV2 Model for Oral Cancer Classification
In emerging economies and regions with low to middle incomes, oral cancer has emerged
as one of the prevalent malignant tumours and a highly critical medical condition. Timely …
as one of the prevalent malignant tumours and a highly critical medical condition. Timely …
DeepKidney: Multiclass Classification of Kidney Stones, Cysts, Tumors, and Normal Cases Using Convolutional Neural Networks
Accurately classifying kidney diseases, such as stones, cysts, tumors, and normal cases, is
vital in effective diagnosis and treatment planning. A method for multi class classification of …
vital in effective diagnosis and treatment planning. A method for multi class classification of …
Advanced Deep Learning Approaches: Utilizing VGG16, VGG19, and ResNet Architectures for Enhanced Grapevine Disease Detection
APS Yadav, N Thapliyal, M Aeri… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
This study aims to give an overall comparison among three of the most powerful
convolutional neural network (CNN) architectures-VGG16, VGG19, and ResNet for the …
convolutional neural network (CNN) architectures-VGG16, VGG19, and ResNet for the …
Deep Learning-based VGGNet, GoogleNet, and DenseNet121 Models for Cervical Cancer Prediction
Cervical cancer is still a serious health issue in the world and underscores the importance of
developing accurate, effective diagnostic tools. This research investigates cervical cancer …
developing accurate, effective diagnostic tools. This research investigates cervical cancer …
An Efficient Fine-Tuned Convolutional Neural Network Model for Tea Leaf Disease Classification
The Indian population heavily relies on agricultural income, and unfortunately, pests and
plant diseases exert a substantial negative impact on it. Tea production plays an essential …
plant diseases exert a substantial negative impact on it. Tea production plays an essential …
Skin Cancer Classification Using Transfer Learning-Based Pre-Trained VGG 16 Model
Skin is one of the most dangerous types of cancer which affect, millions of people every
year. The identification and treatment of skin cancer is challenging and expensive due to the …
year. The identification and treatment of skin cancer is challenging and expensive due to the …
Parkinson's Disease Diagnosis using Supervised Machine Learning Techniques
Many people throughout the world suffering with Parkinson's disease (PD), which is more
common in people over 50. Even now, in the era of numerous technologies and …
common in people over 50. Even now, in the era of numerous technologies and …
Exploring Heart Disease Prediction through Machine Learning Techniques
Z Lin, S Chen, J Chen - Proceedings of the 2023 7th International …, 2023 - dl.acm.org
Currently, heart disease stands as the most formidable threat to human life. The application
of machine learning in scrutinizing data holds the promise of augmenting early detection …
of machine learning in scrutinizing data holds the promise of augmenting early detection …