Results 71 to 80 of about 14,433,442 (249)

Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting

, 2018
Lakes are primitive water holding geographic structures containing most the fresh water on the Earth’s surface, but the recent trends show that climate change can potentially lead to a significant aberration in the Lake water level and its overall ...
Deo, Ravinesh C., Kashani, Mahsa H., Ghorbani, Shahryar, Karimi, Vahid, Ghorbani, Mohammad Ali   +4 more
core   +1 more source

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Windows of opportunity: The power dynamics in the disposable nappy regime and opportunities for niche innovations

Cleaner and Responsible Consumption
This paper studies niche-regime dynamics in sustainability transitions in the disposable nappy industry in Australia. Disposable nappies generate a disproportionate amount of plastic waste relative to the per capita usage of the product.
Jason Graham-Nye, Nick Florin, Monique Retamal   +2 more
doaj   +1 more source

Perspectives and threats of democracy voucher democracy innovation through Multi-Level Perspective (MLP) theory and possible paths on its development.

The issue of money in politics remains a widely debated topic in the social sciences, yet scholars from Anglo-Saxon countries appear more engaged with it than their counterparts in continental Europe, where public financing of political parties is more developed.
openaire   +1 more source

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

Advanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang, Nicolas Raison, Xuyang Zhang, Aijia Yang, Lukas Lindenroth, Shan Luo   +5 more
wiley   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition [PDF]

, 2022
Recently, vision architectures based exclusively on multi-layer perceptrons (MLPs) have gained much attention in the computer vision community. MLP-like models achieve competitive performance on a single 2D image classification with less inductive bias ...
Li, Ping, Chen, Shuo, Yu, Tan
core   +1 more source

RURAL LIVELIHOODS TRANSITIONS: TOWARDS AN INTEGRATION OF THE SUSTAINABLE LIVELIHOODS APPROACH AND THE MULTI-LEVEL PERSPECTIVE

, 2018
In rural areas, especially in low and middle-income countries, livelihoods have to diversify to include new on- and off-farm activities. However, sustainable livelihood concepts have so far not sufficiently accommodated transition dynamics. Mostly, rural
Hamid EL BILALI, Otilija MISECKAITE, Michael HAUSER, Sinisa BERJAN, Lorenz PROBST   +4 more
core   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Future CO2 emissions from shipping: four-scenarios using a multi-level perspective – a proposed methodology

SHS Web of Conferences, 2018
Previous work by Pettit et al (2017) drew on Socio-technical Transitions Theory (STT) to contextualise recent developments in the technological and operational eco-efficiency of ships which may ameliorate sustainability issues in shipping. Within STT the
Wells Peter, Pettit Stephen, Abouarghoub Wessam, Haider Jane, Beresford Anthony   +4 more
doaj   +1 more source