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[PDF][PDF] AI-driven waste management systems: A comparative review of innovations in the USA and Africa
ZQS Nwokediegwu, ED Ugwuanyi… - Engineering Science …, 2024 - scholar.archive.org
Nwokediegwu, Ugwuanyi, Data, Majemite, & Obaigbena, P. No. 507-516 Page 508
promoting a circular economy. Conversely, in Africa, where waste management …
promoting a circular economy. Conversely, in Africa, where waste management …
Advances in free fatty acid profiles in gestational diabetes mellitus
H Du, D Li, LM Molive, N Wu - Journal of Translational Medicine, 2024 - Springer
The morbidity of gestational diabetes mellitus (GDM) is increasing and is associated with
adverse perinatal outcomes and long-term maternal and infant health. The exact mechanism …
adverse perinatal outcomes and long-term maternal and infant health. The exact mechanism …
Designing a smart and intelligent ecosystem for autistic children
In this paper, we discuss the usage of smart and machine learning based model to aid
children with autism. Children with autism require constant care because you never know …
children with autism. Children with autism require constant care because you never know …
Parkinson risks determination using SVM coupled stacking
S Dutta, S Choudhury, A Chakraborty, S Mishra… - International Conference …, 2023 - Springer
Biomarkers obtained from a person's voice may provide interpretations into brain-related
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …
A normalized ANN model for earthquake estimation
D Mehta, PP Das, S Ghosh, S Mishra… - … on applied artificial …, 2023 - ieeexplore.ieee.org
Earthquake is one of the most devastating natural catastrophes, mainly because there is
rarely any advance notice and hence little opportunity to react. This makes the issue of …
rarely any advance notice and hence little opportunity to react. This makes the issue of …
ECG-based cardiac abnormalities analysis using adaptive artificial neural network
Electrocardiogram (ECG) is generally used to detect cardiac risks due to its lucidity and non-
invasiveness. During the past decades, several studies have helped to create an automatic …
invasiveness. During the past decades, several studies have helped to create an automatic …
Crop yield forecasting with precise machine learning
S Verma, S Sinha, P Chaudhury, S Mishra… - International Conference …, 2023 - Springer
In India, the impact of global weather variation has severely impacted the majority of
agricultural products. Farmer decision-making will be aided by this research, which will …
agricultural products. Farmer decision-making will be aided by this research, which will …
A Smart Data-Driven Prototype for Depression and Stress Tracking in Patients
P Pranjal, S Mallick, M Madan, S Mishra… - International Conference …, 2023 - Springer
One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
An ensemble learning approach for detection of COVID-19 using chest X-ray
COVID-19 has led to unwanted and serious consequences from the very time of its spread.
Economical India has faced a lot since COVID started spreading, and it has persisted to …
Economical India has faced a lot since COVID started spreading, and it has persisted to …
AI Based Prediction Algorithms for Enhancing the Waste Management System: A Comparative Analysis
Waste management has become an increasingly pressing issue due to urbanization,
population growth, and economic development. According to World Bank projections, waste …
population growth, and economic development. According to World Bank projections, waste …