Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models

J Singh, JK Sandhu, Y Kumar - 2023 6th International …, 2023 - ieeexplore.ieee.org
Hyperparameter tuning is a crucial step in the process of building accurate machine learning
models. Finding the optimal combination of hyperparameters can be challenging, especially …

Influenza Flu Diagnostics and Detection using Artificial Intelligence-based Learning Approaches: Challenges and Recent Study

Y Kumar, GP Kanna, SJKJ Kumar… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Influenza is a life-threatening disease mainly for an older population. Common causes of
death in Influenza related complications are pneumonia, obstructive pulmonary disease …

Artificial Intelligence-Based Learning Approaches for Medical Imaging

Y Kumar, S Wadhwa, J Rani - 2023 6th International …, 2023 - ieeexplore.ieee.org
Artificial Intelligence is the most debated and discussed topic in the field of the health sector,
especially in the research of medical imaging. It has the power to process many medical …

Unveiling the Invisible an In-Depth Analysis of Text Steganography Techniques, Challenges, and Advancement

LK Tyagi, A Gupta, A Mohamed - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Text steganography is the art and science of concealing hidden messages inside ordinary
text without raising red flags. It's an intriguing field. Because of the increasing dependence …

Optimization Techniques for Focused Web Crawlers

A Gupta, LK Tyagi, VS Sisodia - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Applications for data mining and information retrieval heavily rely on web crawling. In
particular, focused web crawling seeks to extract pertinent and targeted data from the …

Designing a Predictive Maintenance-Based Algorithm for DC Motor Fault Detection and Classification

H Satria, D Dhabliya, R Srisainath… - 2023 3rd …, 2023 - ieeexplore.ieee.org
DC motors, integral to numerous sectors, transform electrical energy into mechanical action.
Their critical role necessitates reliable operation, but inherent vulnerabilities can cause …

Automated Diagnosis and Detection of Blood Cancer Using Deep Learning-Based Approaches: A Recent Study and Challenges

JB Singh, V Luxmi - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Blood cancer, also referred to as haematological malignancy, is a collection of cancers that
affect the blood, bone marrow, and lymphatic systems. Early and accurate blood cancer …

A New Era of Web Mining: Innovative Approaches in Focused Web Crawling for Domain-Specific Information

LK Tyagi, A Gupta, VS Sisodia - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In an era characterized by the exponential growth and complexity of the World Wide Web,
this paper underscores the paramount importance of innovative focused web crawling …

10 FederatedBased Learning

S Kumar, T Sharma, BP Kavin… - Intelligent Systems and …, 2024 - books.google.com
Global healthcare systems are expected to undergo a significant transformation as a result
of digital technologies in modern healthcare. Smart healthcare links individuals, services …

Convolutional Neural Network Based Intelligent Methods for Early Detection of Groundnut Leaf Spot

A Mohamed, D Goru, J David… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
After China, the United States, and Nigeria, India is the leading producer of groundnuts and
oil. On 20,000 acres, Konkan groundnut yields 1,800 kg ha-1. Konkan has an abundance of …