Brainnet: precision brain tumor classification with optimized efficientnet architecture

MM Islam, MA Talukder, MA Uddin… - … Journal of Intelligent …, 2024 - Wiley Online Library
Brain tumors significantly impact human health due to their complexity and the challenges in
early detection and treatment. Accurate diagnosis is crucial for effective intervention, but …

Internet of Things Integrated Deep‐Learning Algorithms Monitoring and Predicting Abnormalities in Agriculture Land

P Selvam, N Krishnamoorthy, SP Kumar… - Internet Technology …, 2024 - Wiley Online Library
ABSTRACT The Internet of Things (IoT) plays an essential role in the majority of the recent
real‐time applications to speed up the process of immediate actions against abnormal …

Enhancing spectrum utilization and primary user detection in cognitive radio networks through greedy cooperative spectrum sensing

S Dhivya, A Rajeswari - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
The utilization of the spectrum is optimized through which primary users of modern wireless
communication technologies might obtain a higher chance of detection. The research aims …

Machine Learning Method for the Diagnosis of Retinal Diseases using Convolutional Neural Network

S Kushwaha, J Boga, BSS Rao… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The early diagnosis of visual problems such as diabetic retinopathy and glaucoma relies on
the successful completion of medical image processing tasks such as the segmentation of …

Hyper Triglycerides Prognosis Using Machine Learning and Data Science

T Sunitha, V Sankaradass - … on Data Science, Agents & Artificial …, 2023 - ieeexplore.ieee.org
This study investigates the prognostic potential of machine learning and data science in
evaluating hypertriglyceridemia, a condition linked to various health risks. Triglycerides, a …

AI-enhanced forecasting of Indian primary energy demand: Fuzzy auto-regressive distributed lag models

T Vaikunta Pai, M Singh, N Shaik… - Journal of Intelligent & … - content.iospress.com
As the demand for energy in India continues to surge, accurate forecasting becomes
paramount for efficient resource allocation and sustainable development. This study …

Enhancing Empathetic Communication: AI-Driven Emotion Recognition Using Integrated Electronic Systems

C RM, SP Karuppiah, M Esther Hannah… - Available at SSRN …, 2024 - papers.ssrn.com
Whether it's improved human-control interaction or more empathetic contact over the
internet, voice-based emotional recognition and emotion acknowledgment have great …

Optimized machine learning algorithm for thyroid tumour type classification: A hybrid approach Random Forest, and intelligent optimization algorithms

S Sheik Faritha Begum, M Suresh Anand… - Journal of Intelligent & … - content.iospress.com
Thyroid tumours are a common form of cancer, and accurate classification of their type is
crucial for effective treatment planning. This research presents a hybrid approach for the …

[PDF][PDF] Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach

EH Senthilkumaran, MS Yalawar, RG Vidhya - irjms.com
In the modern era, IoT-based smart cities play a crucial role in enhancing the development
and quality of life in advanced countries. As digital technologies and advanced metering …

[PDF][PDF] Internet of Things Driven Automated Production Systems using Machine Learning

SJ Kumbhar, RG Vidhya - irjms.com
With the advent of Industry 4.0, integrating Cyber-Physical Systems (CPS) and the Internet of
Things (IoT) has become crucial in automated production. This study examines the interplay …