Results 41 to 50 of about 1,002 (195)

What Do We Know About How Companies Manage Waste? The Effect of Tenure and Diversity of Directors on Disclosures

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper aims to analyze the effect of board tenure on firms' waste management disclosure and explore whether this effect is amplified by board gender and cultural diversity. The analysis is based on data from 832 large firms worldwide from 2011 to 2020.
Isabel‐María García‐Sánchez, Beatriz Aibar‐Guzmán, Salvador Marín‐Hernández, Esther Ortiz‐Martínez   +3 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Analysis of the garbage truck market of Ukraine

Academic journal Industrial Machine Building Civil Engineering, 2022
In this work, with the help of object-oriented statistical analysis of the offers of specialized equipment of domestic manufacturers, the compliance of the specialized transport and technological support offered by the market with the needs of the long-term planning of waste management systems at the local and regional levels are established. The range
openaire   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

Environmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade, Ram Narayan Yadav, James O Ijiwade, Ojima Z. Wada   +3 more
wiley   +1 more source

Development of Automatic Object Detection and IoT for Garbage Pickup Assignment Problem

JOIV: International Journal on Informatics Visualization
Waste management remains a challenge in certain cities, particularly in allocating fleets responsible for collecting garbage from temporary disposal sites. Inadequate planning can lead to the accumulation of substantial waste piles.
Erlangga Bayu Setyawan, Nia Novitasari, Aulia Dihas Zahira   +2 more
doaj   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source

Black Carbon Exposure Characteristics in Diesel Engine Vehicle-related Jobs

Aerosol and Air Quality Research, 2021
We aimed to characterize the black carbon (BC) exposure from eight types of jobs involving diesel engine vehicles—namely, machinery operation, forklift operation, automobile assembly, garbage collection, garbage truck driving, delivery, toll operation ...
Sangjun Choi, Ju-Hyun Park, Won Kim, Seung Won Kim, Kyong-Hui Lee, Taejin Chung, Jihoon Park, Seung-Hun Ryu, Jungah Shin, Dong-Hee Koh, Dong-Uk Park   +10 more
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Dynamics of wear and tear of garbage trucks in Khmelnytskyi region

Проблеми трибології, 2022
The article is dedicated to determining the regularity that describes the dynamics of wear and tear of garbage trucks at the regional level, using the example of the Khmelnytskyi region.
O.V. Bereziuk, V.I. Savulyak, V.O. Kharzhevskyi   +2 more
doaj   +1 more source

Reduction, Softening, and Melting Characteristics of Mill Scale‐Based Briquettes for Blast Furnace Ironmaking

steel research international, EarlyView.
The study evaluates mill scale‐based briquettes, which meet industrial standards for shatter strength and exhibit a low decrepitation index. Despite their limited reducibility in nonisothermal reduction experiments, softening and melting results indicate potential application as a substitute for conventional acidic iron‐bearing materials for use in ...
Ismael Vemdrame Flores, Paula Maria Gomes Cunha Leão, João Victor Souza Alves, Otávio Henrique Matos de Assis, Maurício Covcevich Bagatini   +4 more
wiley   +1 more source