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The rapid expansions of artificial intelligence (AI), big data (BD), and information and communication technologies (ICT) are driving substantial growth in electricity, water, and material demands, with data centers proj...

Sustainable infrastructure has emerged as a central pillar in addressing the complex challenges associated with rapid urbanization, population growth, and climate variability. Modern civil engineering practice increasing...

Life cycle assessment (LCA) is critical for credible climate decisions, although practice varies contextually. This review explains when to use attributional (ALCA) versus consequential (CLCA) LCAs, consolidating guidanc...

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...

ABSTRACT Background: Climate change and widespread environmental degradation have increased the risk of natural hazards in recent decades. Hydrological, meteorological, and climatological disasters have become more frequ...

The article examines current approaches to optimizing the operating modes of distributed technical systems based on automation and intelligent control technologies, using the example of 10 kV electric networks. The analy...

The environmental performance of vehicle electrification depends critically on the extent to which electric vehicles (EV) actually replace conventional vehicles (CV). Comparative life cycle assessment (LCA) studies typic...

Abstract Simulating the response of granular materials under realistic loading scenarios is essential for ensuring the reliability of geotechnical infrastructure. This task is particularly challenging because natural soi...

En este trabajo se reporta el uso de dispositivos de telefonía móvil y aplicaciones de libre acceso como herramientas de medición para determinar el orden de reacción del proceso de decoloración de un colorante alim...

Much effort has been expended in the aerospace industry in order to achieve the highest quality standards required for nowadays technical and environmental necessities. This involves the increase of specific power and ov...

The electromagnetic density of the atmosphere has increased in recent years due to the major technological development, generating a new kind of pollution, which some authors called "electromagnetic pollution". The use o...

Fil: Peralta, Erica Silvana. Universidad Nacional del Nordeste; Argentina. Esta tesis se centró en el análisis de las representaciones sociales de los problemas ambientales de la Provincia del Chaco desde los aportes d...

We present the results of a study of ambient air quality in two regions comparable Buenos Aires, developed jointly by the Center for Environmental Research (Faculty of Exact Sciences, UNLP), the Sanitary Engineering Labo...

"El siguiente trabajo corresponde a la tesis de la carrera de Ingeniería Industrial en el ITBA. La misma trata acerca de un estudio de prefactibilidad de la instalación de una planta de bioetanol a base de maíz en la ...

Subjects / keywords: data articles, fair data, biomedical data, environmental and engineering data, social and physical sciences data; Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (Ge...

Subjects / keywords: remote sensing, measurement instruments and techniques, data processing, information retrieval, gases, aerosols; Technology: Engineering (General). Civil engineering (General): Environmental engineering; Technology: Engi...

Abstract Agrivoltaics presents a transformative opportunity for Nigeria by integrating renewable energy with sustainable agriculture. However, its adoption involves complex governance challenges that require coordinated ...

Infrastructure construction and maintenance is very critical in supporting a robust and sustainable transportation system. The primary goal of transportation infrastructure is to ensure safe and efficient movement. Howev...

Abstract Environmental perception is one of the key technologies to realize autonomous vehicles. Autonomous vehicles are often equipped with multiple sensors to form a multi-source environmental perception system. Those ...

This study explores the relationship between urban development and air pollution in Thailand by analyzing remote sensing nightlight data and carbon monoxide (CO) concentrations over six years (2019-2024). Using data from...

Machine learning has evolved into a potent tool for analysing patterns and making predictions from complex data. In this machine learning era, we employed neural network techniques to estimate the parameters of statistic...

Abstract The development of a battery management algorithm is highly dependent on high-quality battery operation data, especially the data in extreme conditions such as low temperatures. The data in faults are also essen...

Accurate traffic flow forecasting is essential for developing intelligent transportation systems (ITSs) to reduce congestion, optimize road management, and improve safety. While data-driven traffic prediction approaches ...

Abstract Current works of environmental perception for connected autonomous electrified vehicles (CAEVs) mainly focus on the object detection task in good weather and illumination conditions, they often perform poorly in...