Materials-driven soft wearable bioelectronics for connected healthcare

S Gong, Y Lu, J Yin, A Levin, W Cheng - Chemical Reviews, 2024 - ACS Publications
In the era of Internet-of-things, many things can stay connected; however, biological
systems, including those necessary for human health, remain unable to stay connected to …

A review on role of artificial intelligence in food processing and manufacturing industry

E Ramirez-Asis, J Vilchez-Carcamo, CM Thakar… - Materials Today …, 2022 - Elsevier
Food is essential for humans. It is critical to decrease food waste, optimize the supply chain,
and enhance food logistics, food delivery, and food safety. To a large extent, artificial …

Intrusion detection using machine learning for risk mitigation in IoT‐enabled smart irrigation in smart farming

A Raghuvanshi, UK Singh, GS Sajja… - Journal of Food …, 2022 - Wiley Online Library
The majority of countries rely largely on agriculture for employment. Irrigation accounts for a
sizable amount of water use. Crop irrigation is an important step in crop yield prediction …

Applications of artificial intelligence in business management, e-commerce and finance

H Pallathadka, EH Ramirez-Asis, TP Loli-Poma… - Materials Today …, 2023 - Elsevier
In the e-commerce and financial industries, AI has been deployed to achieve better
customer experience, efficient supply chain management, improved operational efficiency …

Impact of machine learning on management, healthcare and agriculture

H Pallathadka, M Mustafa, DT Sanchez… - Materials Today …, 2023 - Elsevier
In the agriculture and healthcare industries, AI has been deployed to achieve better crop
production, disease prediction, continuous monitoring, efficient supply chain management …

Healthcare system: Moving forward with artificial intelligence

G Dicuonzo, F Donofrio, A Fusco, M Shini - Technovation, 2023 - Elsevier
Artificial intelligence (AI) in healthcare is becoming increasingly important, given its potential
to generate and analyse healthcare data to improve patient care and reduce costs and …

Classification and prediction of student performance data using various machine learning algorithms

H Pallathadka, A Wenda, E Ramirez-Asís… - Materials today …, 2023 - Elsevier
In today's competitive world, it is critical for an institute to forecast student performance,
classify individuals based on their talents, and attempt to enhance their performance in …

A Robust medical data sharing application with a collaborative hypothesis and Elastic net regression model

JJ Naidu, EN Ganesh, ND Reddy… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Clinical data and records are the main data to help various customized applications like
clinical proof, protection, digital data and criminal personality. Different blockchain and …

Application of IoT and cloud computing in automation of agriculture irrigation

K Phasinam, T Kassanuk, PP Shinde… - Journal of Food …, 2022 - Wiley Online Library
All living things, including plants, animals, and humans, need water in order to live. Even
though the world has a lot of water, only about 1% of it is fresh and usable. As the population …

Multiple disease prediction using Machine learning algorithms

K Arumugam, M Naved, PP Shinde… - Materials Today …, 2023 - Elsevier
Data mining for healthcare is an interdisciplinary field of study that originated in database
statistics and is useful in examining the effectiveness of medical therapies. Machine learning …