Results 91 to 100 of about 289,156 (281)

EVALUATION OF NOISE POLLUTION IN ILAM CITY IN 2018

Journal of Air Pollution and Health, 2018
Introduction: High level of noise can be harmful for human mental and physical health. Therefore, it is important to study the noise pollution in cities. The aim of this study is to investigate the situation of noise pollution in Ilam, Iran.
Javad Hatamzadi, Amirreza Talaiekhozani, Gholam Reza Ziaee   +2 more
doaj  

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

Agribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor, Francis Tsiboe, Ayobami Adetoyinbo, Jacob Ankamah   +3 more
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

NOISE AND VIBRATION EFFECTS ON HUMAN ORGANISM, PRODUCED BY THE DEVELOPMENT ACTIVITIES OF THE PINOASA MINIER PERIMETER [PDF]

Fiabilitate şi Durabilitate, 2019
At present, noise pollution along with atmospheric pollution and waste management are serious problems faced by Europe's population. According to World Health Organization statistics, half of Europeans live in permanent noise and one third suffer from ...
Nicoleta-Maria MIHUT
doaj  

Study of the environmental noise pollution in production economical activities [PDF]

, 2013
The paper presents results of a study of the environmental noise pollution in sewing and metal working manufacture and the harvester in agriculture. Indiscrete method for noise measurements were created.
Kovachev, N.I., Vladimirov, L.V.
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The economics of airport noise: how to manage markets for noise licenses [PDF]

Noise-induced pollution constitutes a hot and topical societal problem for all major airports. This paper discusses various issues in the implementation of a market for noise licenses as a solution to solve the noise externality between the residents ...
BRECHET, Thierry, PICARD, Pierre M.
core  

Using tracked mobile sensors to make maps of environmental effects [PDF]

, 2008
We present a study the results of a study of environmental carbon monoxide pollution that has uses a set of tracked, mobile pollution sensors. The motivating concept is that we will be able to map pollution and other properties of the real world a fine
Milton, R., Steed, A.
core  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source