Results 141 to 150 of about 15,465 (264)

Development of Rammed Earth Wall Panels

International Journal for Research in Applied Science and Engineering Technology
Abstract: Cutting edge engineers commit cautious consideration to the environment of a extend and think about authentic building strategies they can make more feasible structures. Rammed-earth development is a warm mass structure which cools the internal spaces of house amid hot, summers and keeps warm amid winters. It is a noteworthy building strategy
openaire   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri, Araz Rajabi‐Abhari, Owen Gibbs, Pengcheng Xi, Asif Abdullah Khan, Fangzheng Huang, Md Soyaeb Hassan, Ning Yan, Dayan Ban   +8 more
wiley   +1 more source

Experimental analysis of the cyclic behavior of rammed earth walls reinforced with arundo donax natural fiber. [PDF]

Heliyon
Mora-Ruiz V, Mejía-Parada C, Nuñez B, Pineda SM, Prado NI, Vallejo-Borda JA, Arrieta-Baldovino J.   +6 more
europepmc   +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

Designing the Composition of Cement Stabilized Rammed Earth Using Artificial Neural Networks. [PDF]

Materials (Basel), 2019
Anysz H, Narloch P.
europepmc   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

Epilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges, Joana Isabel Soares, Daniela Dias, Helena Cordeiro, Alberto Leal   +4 more
wiley   +1 more source

Experimental test and mechanism analysis of soil crust erosion resistance of rammed earth Great Wall in rainy season. [PDF]

Sci Rep
Liu L, Zhang Y, Guo L, Cao H, Dai Z, Zhao Z, Guo Y, Li D, Zheng L, Li T.   +9 more
europepmc   +1 more source

First Exploratory Study on the Ageing of Rammed Earth Material. [PDF]

Materials (Basel), 2014
Bui QB, Morel JC.
europepmc   +1 more source

Manually compressed soil blocks stabilised by fly ash based geopolymer: a promising approach for sustainable buildings. [PDF]

Sci Rep, 2023
Bui QB, Nguyen TP, Schwede D.
europepmc   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source