[HTML][HTML] Application of Artificial Intelligence in Reverse Logistics: A Bibliometric and Network Analysis

O Bhowmik, S Chowdhury, JH Ashik, GMI Mahmud… - Supply Chain …, 2024 - Elsevier
Despite abundant research on the application of artificial intelligence (AI) in reverse
logistics, no comprehensive study with bibliometric and network analysis has been …

[HTML][HTML] A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle

V Verma, D Gupta, S Gupta, M Uppal, D Anand… - Symmetry, 2022 - mdpi.com
A population explosion has resulted in garbage generation on a large scale. The process of
proper and automatic garbage collection is a challenging and tedious task for develo** …

Deep convolutional neural networks object detector for real-time waste identification

DO Melinte, AM Travediu, DN Dumitriu - Applied Sciences, 2020 - mdpi.com
This paper presents an extensive research carried out for enhancing the performances of
convolutional neural network (CNN) object detectors applied to municipal waste …

Waste management using machine learning and deep learning algorithms

KN Sami, ZMA Amin, R Hassan - International Journal on …, 2020 - journals.iium.edu.my
Waste Management is one of the essential issues that the world is currently facing does not
matter if the country is developed or under develo**. The key issue in this waste …

A robust framework combined saliency detection and image recognition for garbage classification

J Qin, C Wang, X Ran, S Yang, B Chen - Waste management, 2022 - Elsevier
Using deep learning to solve garbage classification has become a hot topic in computer
version. The most widely used garbage dataset Trashnet only has garbage images with a …

Waste Classification Using Artificial Intelligence Techniques: Literature Review.

IN Abood, GAA Al-Talib - Technium, 2023 - search.ebscohost.com
Abstract waste is the total remnants of domestic, agricultural, industrial and productive
human activities, all the trash left somewhere, the neglect of which threatens and harms …

Coastal waste detection based on deep convolutional neural networks

C Ren, H Jung, S Lee, D Jeong - Sensors, 2021 - mdpi.com
Coastal waste not only has a seriously destructive effect on human life and marine
ecosystems, but it also poses a long-term economic and environmental threat. To solve the …

An approach of classifying waste using transfer learning method

ZMA Amin, KN Sami, R Hassan - International Journal on …, 2021 - journals.iium.edu.my
One of the most critical issues facing by the world is waste management, regardless of
whether the region is being established or in the process of becoming established. There is …

A Hybrid Model for Dry Waste Classification using Transfer Learning and Dimensionality Reduction

H Santoso, I Hanif, H Magdalena, A Afiyati - JOIV: International Journal on …, 2024 - joiv.org
The categorization of waste plays a crucial part in efficient waste management, facilitating
the recognition and segregation of various waste types to ensure appropriate disposal …

Wireless sensor network-based machine learning framework for smart cities in intelligent waste management

K Belsare, M Singh, A Gandam, V Samudrala, R Singh… - Heliyon, 2024 - cell.com
Environmental safety is one of the key issues that are directly related to a country's
prosperity. One of the most fundamental aspects of a sustainable economy is waste …