A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Segmentation of ovarian cancer using active contour and random walker algorithm
PJ Ruchitha, YS Richitha, A Kodipalli… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Image Processing nowadays has been commonly used in different medical fields and
includes many types of techniques such as storage, communication, presentation …
includes many types of techniques such as storage, communication, presentation …
StrokeViT with AutoML for brain stroke classification
Stroke, categorized under cardiovascular and circulatory diseases, is considered the second
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …
foremost cause of death worldwide, causing approximately 11% of deaths annually. Stroke …
Leaf disease classification in smart agriculture using deep neural network architecture and IoT
The Internet of Things (IoT) is bringing a new dimension to the smart farming market. This
helps the user to collect the data from the agricultural fields in real time and move it to …
helps the user to collect the data from the agricultural fields in real time and move it to …
Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey
The character recognition system is a vital area in the field of pattern recognition. One
interesting, complex, and challenging task is handwritten character recognition because of …
interesting, complex, and challenging task is handwritten character recognition because of …
Handwritten Recognition Techniques: A Comprehensive Review
HA Alhamad, M Shehab, MKY Shambour… - Symmetry, 2024 - mdpi.com
Given the prevalence of handwritten documents in human interactions, optical character
recognition (OCR) for documents holds immense practical value. OCR is a field that …
recognition (OCR) for documents holds immense practical value. OCR is a field that …
Targeting class imbalance problem using GAN
H Bhagwani, S Agarwal, A Kodipalli… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Imbalanced data categorization is inescapable, and it has an impact on the model's
classification problem, which can cause false results. The purpose of this paper is to …
classification problem, which can cause false results. The purpose of this paper is to …
An adaptive offset activation function for CNN image classification tasks
Y Jiang, J Xie, D Zhang - Electronics, 2022 - mdpi.com
The performance of the activation function in convolutional neural networks is directly
related to the model's image classification accuracy. The rectified linear unit (ReLU) …
related to the model's image classification accuracy. The rectified linear unit (ReLU) …
Ovarian cancer detection and classification using machine leaning
M Aditya, I Amrita, A Kodipalli… - 2021 5th international …, 2021 - ieeexplore.ieee.org
Ovarian cancer is one of the leading causes of death among women. It ranks fifth in cancer
deaths among women and affects women if all demography and ethnicity. It is important to …
deaths among women and affects women if all demography and ethnicity. It is important to …
Huruf: An application for arabic handwritten character recognition using deep learning
Handwriting Recognition has been a field of great interest in the Artificial Intelligence
domain. Due to its broad use cases in real life, research has been conducted widely on it …
domain. Due to its broad use cases in real life, research has been conducted widely on it …