[HTML][HTML] Optimizing IC engine efficiency: a comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning

MEM Soudagar, S Shelare, D Marghade… - Energy Conversion and …, 2024 - Elsevier
Transportation and power generation have historically relied upon Internal Combustion
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …

Reviewing the role of artificial intelligence in energy efficiency optimization

TM Olatunde, AC Okwandu, DO Akande… - Engineering Science & …, 2024 - fepbl.com
Artificial intelligence (AI) is revolutionizing the field of energy efficiency optimization by
enabling advanced analysis and control of energy systems. This review provides a concise …

The Green City: Sustainable and Smart Urban Living Through Artificial Intelligence

I Satpathy, A Nayak, V Jain - Utilizing Technology to Manage …, 2025 - igi-global.com
The increasing global awareness of the need for sustainable urbanization is driving the
integration of green artificial intelligence (Green AI) in urban planning and management. AI …

[HTML][HTML] Exploring the influence of linear infrastructure projects 4.0 technologies to promote sustainable development in smart cities

O Sánchez, K Castañeda, S Vidal-Méndez… - Results in …, 2024 - Elsevier
Industry 4.0 technologies have a high potential to improve the planning and execution of
linear projects such as roads, bridges and railroads. These technologies can help reduce …

[HTML][HTML] AI-driven approach for enhancing sustainability in urban public transportation

V Lukic Vujadinovic, A Damnjanovic, A Cakic… - Sustainability, 2024 - mdpi.com
The functioning of modern urban environments relies heavily on the public transport system.
Given spatial, economic, and sustainability criteria, public transport in larger urban areas is …

Exploring the potential of AI-driven optimization in enhancing network performance and efficiency

UJ Umoga, EO Sodiya, ED Ugwuanyi… - Magna Scientia …, 2024 - magnascientiapub.com
The exponential growth of network complexity and data volume in modern digital
ecosystems has underscored the need for innovative approaches to optimize network …

Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling …

G Zhang, F Chang, J Liu - Sustainable Cities and Society, 2024 - Elsevier
High technology and artificial intelligence (AI) are crucial for achieving urban Dual Carbon
Goals. This study proposes a heterogeneous deep learning framework with analysis and …

Optimizing With Intelligence: Harnessing AI and ML Algorithms for Real-World Solutions

S Kolasani - Practical Applications of Data Processing, Algorithms …, 2024 - igi-global.com
As the realms of artificial intelligence (AI) and machine learning (ML) continue to redefine
our technological landscape, this chapter embarks on a comprehensive exploration of how …

Resources and capabilities for logistics 4.0 and sustainable value creation: a study of logistics service providers in an emerging market

N Vasiulis Ferreira Rodrigues… - … International Journal of …, 2024 - emerald.com
Purpose The present study aims to identify the resources and capabilities that enable
logistics service providers (LSPs) to create sustainable value through Logistics 4.0 …

AI Assistants for Tour and Travel Operation

MB Talukder, K Muhsina - Generating Entrepreneurial Ideas With AI, 2024 - igi-global.com
This study examines the role and importance of Artificial Intelligence assistants in
transforming tour and travel operations, with the goal of investigating their purpose. AI …