Review on machine learning-based bioprocess optimization, monitoring, and control systems

PP Mondal, A Galodha, VK Verma, V Singh… - Bioresource …, 2023 - Elsevier
Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …

Recent advances in artificial intelligence and wearable sensors in healthcare delivery

SB Junaid, AA Imam, M Abdulkarim, YA Surakat… - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and wearable sensors are gradually transforming healthcare
service delivery from the traditional hospital-centred model to the personal-portable-device …

Nexus between Cyclical Innovation in Green Technologies and CO2 Emissions in Nordic Countries: Consent toward Environmental Sustainability

N Ahmed, FO Areche, DDC Nieto, RFC Borda… - Sustainability, 2022 - mdpi.com
Several economies have acknowledged that environmental degradation poses a serious
danger to worldwide sustainable production and consumption. Policy makers concur that the …

A comparative recognition research on excretory organism in medical applications using artificial neural networks

S Selvarajan, H Manoharan, C Iwendi… - … in Bioengineering and …, 2023 - frontiersin.org
Purpose: In the contemporary era, a significant number of individuals encounter various
health issues, including digestive system ailments, even during their advanced years. The …

Development and assessment of an indoor air quality control IoT-based system

G Guerrero-Ulloa, A Andrango-Catota, M Abad-Alay… - Electronics, 2023 - mdpi.com
Good health and well-being are primary goals within the list of Sustainable Development
Goals (SDGs) proposed by the United Nations (UN) in 2015. New technologies, such as …

Secured data transmissions in corporeal unmanned device to device using machine learning algorithm

S Shitharth, S Yonbawi, H Manoharan, A Shankar… - Physical …, 2023 - Elsevier
Cyber–physical systems (CPS) for device-to-device (D2D) communications are gaining
prominence in today's sophisticated data transmission infrastructures. This research intends …

QoS enhancement in wireless ad hoc networks using resource commutable clustering and scheduling

S Shitharth, H Manoharan, RA Alsowail, A Shankar… - Wireless …, 2023 - Springer
Effective management and control of large-scale networks can be challenging in the
absence of appropriate resource allocation. This paper presents a framework for …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …

A Method to Predict CO2 Mass Concentration in Sheep Barns Based on the RF-PSO-LSTM Model

H Cen, L Yu, Y Pu, J Li, Z Liu, Q Cai, S Liu, J Nie, J Ge… - Animals, 2023 - mdpi.com
Simple Summary With the change in meat sheep breeding from traditional farming to large-
scale, intensified modern breeding practices, the environmental air quality in sheep barns …

Prognosis of urban environs using time series analysis for preventing overexploitation using artificial intelligence

S Shitharth, H Manoharan… - … Journal of Data …, 2023 - inderscienceonline.com
In the process of urban environment, the optimisation of network enactment is shifted from
operation to maintenance and monitoring stage. During such conversion it is necessary to …