Results 131 to 140 of about 4,842 (263)

How Program‐ and Community‐Led Design Settings Affect Resilience Approaches to Sustainable Development Projects

Sustainable Development, EarlyView.
ABSTRACT Sustainable Development interventions must deal with rapid and novel changes affecting complex social‐ecological systems, calling for design based on a resilience approach. However, limited analytical attention has been paid to the design settings in which such approaches are deployed.
Yiheyis Maru, Deborah O'Connell, Nicola Grigg, Annette Cowie, Million Belay, Alice Ruhweza, Mark Stafford Smith   +6 more
wiley   +1 more source

FLARE-SSM: Deep State Space Models with Influence-Balanced Loss for 72-Hour Solar Flare Prediction

Accepted for presentation at ...
Yusuke Takagi, Shunya Nagashima, Komei Sugiura   +2 more
openaire   +2 more sources

Direct Measurement of Protein Corona Thickness on Nanomaterials Using Dual‐Color Stochastic Optical Reconstruction Microscopy (STORM)

Small Methods, EarlyView.
Quantitative dual‐color STORM imaging provides direct nanoscale measurement of protein coronas on nanoparticles in biological media. The approach reveals consistent ∼50 nm corona layers, establishing a reproducible method for characterizing the nanomaterial‐protein interfaces.
Bradley T. Cech, Sophie M. Sullivan, Christopher C. Landry   +2 more
wiley   +1 more source

Online Gaussian Process State-Space Model: Learning and Planning for Partially Observable Dynamical Systems

, 2020
This paper proposes an online learning method of Gaussian process state-space model (GP-SSM). GP-SSM is a probabilistic representation learning scheme that represents unknown state transition and/or measurement models as Gaussian processes (GPs).
Park, Young-Jin, Choi, Han-Lim, Min, Youngjae, Park, Soon-Seo   +3 more
core  

Methodology for Obtaining Linear State Space Building Energy Simulation Models

, 2015
Heating, Ventilation and Air Conditioning (HVAC) equipment for building systems consumes around 18 % of the total end energy in Europe 1. One way of reducing energy use in buildings is to use optimal control techniques such as Model ...
Helsen, Lieve, Jorissen, Filip, Filip Jorissen, Damien Picard, Picard, Damien, Lieve Helsen   +5 more
core   +1 more source

Using Participatory System Dynamics Approaches to Improve Community‐Based Oral Healthcare Delivery: A Case Study of the ElderSmile Program

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study leveraged system dynamics approaches to improve community‐based oral healthcare delivery via the ElderSmile program. Insights and inferences from focus groups and key informant interviews with older adults and their service providers, respectively, were integral to understanding feedback mechanisms articulated in participatory ...
Sara S. Metcalf, Harvey D. Palmer, Mary E. Northridge   +2 more
wiley   +1 more source

Toward identity preserving in face sketch-photo synthesis using a hybrid CNN-Mamba framework

Scientific Reports
The synthesis of facial sketch-photo has important applications in practical life, such as crime investigation. Many convolutional neural networks (CNNs) based methods have been proposed to address this issue.
Duoxun Tang, Xinhang Jiang, Kunpeng Wang, Weichen Guo, Jingyuan Zhang, Ye Lin, Haibo Pu   +6 more
doaj   +1 more source

Designing Participatory Systems Interventions for Behavioural Change: Integrating Soft Systems Methodology, the Theory of Planned Behavior, and Experiential Learning

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) operate within complex sociotechnical systems where behavioural change is shaped by interdependent cognitive, social and structural factors. This study examines a participatory systems intervention with food and beverage SMEs in a coastal tourism context in Vietnam.
Thanh‐Thao Luong, Minh‐Tuan Tran, Elaine Y. T. Chew, Yunus Khatri, Van Ha Quach   +4 more
wiley   +1 more source

MedMamba-ESS: A Generalizable State Space Framework for Clinical Image Classification with Enhanced Performance and Computational Efficiency

Applied Sciences
Since deep learning has been applied to medical image analysis, convolutional neural networks (CNNs) and Vision Transformers (ViTs) have become core architectures for medical image classification tasks.
Huajuan Gao, Yuxin Zhang, Kun Hu, Tingting Leng, Zhuolun He, Zhenzhen Lin, Antong Deng, Jiong Mu   +7 more
doaj   +1 more source

mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters

28 Pages, 3 Figures, all implementation code available at: https://github.com/abdulvahapmutlu/mhc ...
Mutlu, Abdulvahap, Doğan, Şengül, Tuncer, Türker   +2 more
openaire   +2 more sources