Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification

SS Rekha, P Kavitha… - 2024 4th International …, 2024 - ieeexplore.ieee.org
This study examines 20 research articles focused on AI-based waste management
techniques, including machine learning, deep learning, and IoT sensors. Researchers aim …

Enhancing Vegetable Quality Prediction with Fuzzy Interference System

M Al-Rajab, M Asif, SH Chuhan… - … for Technology and …, 2023 - ieeexplore.ieee.org
We are living in this hurly burly world of Tumult and Turmoil where many problems arises
who have not any exact solution/answer like we have health and nutrition problems people …

An Investigation of Operative Data Safety and Authentication Schemes for Benign Cloud Environments

WA Khan, K Ateeq, K Amjad - 2023 International Conference …, 2023 - ieeexplore.ieee.org
The term" cloud computing" refers to a new computing architecture in which data is stored
and processed over the Internet and accessed by anybody or any organisation. That makes …

Classification of Plastic and Non-Plastic Wastes Using Mobile net and SVM

J Srilatha, TS Subashini, K Vaidehi - Mathematical Statistician and …, 2022 - philstat.org
In recent years, governments across the globe are keen to envisage the use of AI, Deep
learning and machine learning methods with the objective of limiting the ill effects of …

Simulating Synchronization Issues on a Multiprocessor Embedded System for Testing

F Zafar, S Ahmad, M Amjad, N Waqar… - … for Technology and …, 2023 - ieeexplore.ieee.org
Widely used embedded systems are applied to conquer the rapidly increasing demands of
embedded systems of today, which start with a simple home device to systems with …

[PDF][PDF] FACULTAD DE CIENCIAS DE LA INGENIERÍA CARRERA DE SOFTWARE PORTADA

VEC Tuarez - 2024 - repositorio.uteq.edu.ec
In recent years, the population has witnessed an exponential growth, which presents the
challenge of satisfying the growing food demand. This has led to the necessity of innovating …

Garbage FusionNet: A deep learning framework combining ResNet and Vision Transformer for waste classification

Z Wang, W Zhou, Y Li - 2024 - researchsquare.com
As global attention to environmental protection and sustainable resource utilization
continues to rise, waste classification has emerged as a crucial issue that urgently needs to …

An Automated System for Waste Segregation Using Deep Learning Algorithms

RR Nair, P Prabhu, C Panchal, L Sarnot… - … for Innovation in …, 2024 - ieeexplore.ieee.org
In current society, the issue of a proper waste disposal system is one of the major concerns
for a clean and green environment. The most common method of waste disposal has always …

Enhancing Smart City Waste Management through LBBOA based RIAN Classification

K Sankar, S Kaviarasan - International Research Journal of …, 2023 - asianrepo.org
Effective trash management has become a top environmental priority, especially in urban
areas with significant population growth where garbage output is on the rise. As cities work …

Classification of Garbage Waste in Smart Cities Using Convolutional Neural Network

G Thangarasu, KR Alla - 2023 IEEE 13th Symposium on …, 2023 - ieeexplore.ieee.org
Conventional smart city management modules make use of sensors or Internet of Things
(IoT) devices in conjunction with intelligent traffic systems (ITS) to either secure the routes to …