[HTML][HTML] Waste management in the smart city: current practices and future directions

D Szpilko, A de la Torre Gallegos, F Jimenez Naharro… - Resources, 2023 - mdpi.com
The discourse surrounding sustainability, particularly in the urban environment, has gained
considerable momentum in recent years. The concept of a smart city epitomises the …

[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence

DB Olawade, O Fapohunda, OZ Wada… - Waste Management …, 2024 - Elsevier
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

Human-robot collaboration for building deconstruction in the context of construction 5.0

CC Ohueri, MAN Masrom, M Noguchi - Automation in Construction, 2024 - Elsevier
Deconstruction, a hazardous stage in a building's lifecycle, requires safe and efficient
human-robot collaboration (HRC). However, existing studies lack a comprehensive …

Oppositional brain storm optimization with deep learning based facial emotion recognition for autonomous intelligent systems

T PrabhakaraRao, S Patnala, CV Raghavendran… - IEEE …, 2024 - ieeexplore.ieee.org
Autonomous Intelligent Systems (AIS) states to a class of intelligent devices that manage
and create decisions independently without human interference. These techniques use …

ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification

MSB Islam, MSI Sumon, ME Majid, SBA Kashem… - Waste Management, 2025 - Elsevier
Efficient waste management is essential to minimizing environmental harm as well as
encouraging sustainable progress. The escalating volume and sophistication of waste …

ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability

NEM Khalifa, M Hamed N. Taha, H M. Khalil, MH Malik - PloS one, 2024 - journals.plos.org
Sustainability has become a key factor on our planet. If this concept is applied correctly, our
planet will be greener and more eco-friendly. Nowadays, waste classification and …

ElectroSortNet: A Novel CNN Approach for E-Waste Classification and IoT-Driven Separation System

HH Rupok, N Sourov, SJ Anannaya… - … on Advancement in …, 2024 - ieeexplore.ieee.org
Recycling e-waste is paramount important because of its environmental impact and the
valuable resources that can be recovered. According to the United Nations Environment …

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 …

A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities.

S Nesmachnow, D Rossit… - Urban Science, 2025 - search.ebscohost.com
This article reviews the literature surrounding innovative computational tools for waste
management within smart cities. With the rise of urbanization and the increasing challenges …

PLC-Controlled Intelligent Conveyor System with AI-Enhanced Vision of Efficient Waste Sorting

N Almtireen, N Rawashdeh, V Reddy… - Applied …, 2025 - digitalcommons.mtu.edu
Current waste sorting mechanisms, particularly those relying on manual processes, semi-
automated systems, or technologies without Artificial Intelligence (AI) integration, are …