Smart agriculture system with E–carbage using IoT

A Senthil Kumar, G Suresh, S Lekashri… - … Journal of Modern …, 2021 - eprints.tiu.edu.iq
Farming is the foundation of India. These days because of populace, mishaps and
contamination subsequently level of the agribusiness field in India are diminishing. So we …

Prediction of COVID-19 growth and trend using machine learning approach

E Gothai, R Thamilselvan, RR Rajalaxmi… - Materials Today …, 2023 - Elsevier
Abstract The Covid-19 Corona Virus, also known as SARS-CoV-2, has wreaked havoc
around the world, and the condition is only getting worse. It is a pandemic disease …

Nature-inspired optimization techniques for cardiovascular disease detection: a comprehensive survey

SK Sharma, L Goel, N Mittal - Neural Computing and Applications, 2024 - Springer
One of the most common illnesses that can shorten a person's life span nowadays is heart
disease. The early detection of aberrant heart diseases is crucial for identifying heart issues …

Improving air pollution detection accuracy and quality monitoring based on bidirectional RNN and the Internet of Things

D Saravanan, KS Kumar - Materials Today: Proceedings, 2023 - Elsevier
Apart from the detection of air pollution, the accuracy in obtained data has to be focussed,
and quality has to be monitored. This can be achieved by analyzing the environment …

Adaptive Ensembled Fusion Based Deep CNN-Bilstm Model For Heart Disease Prediction In IoT.

P Dhaka, R Sehrawat - Fusion: Practice & Applications, 2024 - search.ebscohost.com
Abstract Internet-of-Things (IoT)-based heart disease prediction is a complex task and
processing the real collected data directly for remote patient monitoring suffers from the …

System verification and analysis of ALU for RISC processor

HR Archana, T Sanjana, HT Bhavana… - 2021 7th International …, 2021 - ieeexplore.ieee.org
Reduced Instruction Set Computing (RISC) processors have wide selection of applications
performance on speed and better cache memory. The advanced RISC microprocessors are …

Efficientnet optimization on heartbeats sound classification

HFDU Haq, R Ismail, S Ismail… - … on Informatics and …, 2021 - ieeexplore.ieee.org
Currently, most deaths are caused by heart disease. Heartbeat sound analysis is a
straightforward way to diagnose heart disease and potential for early detection of heart …

Utilizing support vector machines for predictive analytics in chronic kidney diseases

AS Shanthakumari, R Jayakarthik - Materials Today: Proceedings, 2023 - Elsevier
Chronic kidney disease (CKD), due to rising patients, the high probability of deterioration
towards end-stage renal disease and inaccurate estimates of morbidity and mortality …

Improving the state of materials in cybersecurity attack detection in 5G wireless systems using machine learning

S Sumathy, M Revathy, R Manikandan - Materials Today: Proceedings, 2023 - Elsevier
The utilization of information from the radio channel is useful in detecting the spoofing
attacksin 5G wireless communications. This concept has been used for a wide range of uses …

[PDF][PDF] Design and Development of Optimized Cardiovascular Disease Prediction Model using Artificial Intelligence

NS Magar, ZU Hasan, AB Humbe - ESP International Journal of …, 2023 - espjournals.org
The medical industry is expanding quickly as new ailments are discovered daily,
necessitating the development of effective treatment options. The muscular heart, which is …