Results 71 to 80 of about 3,957 (194)
Context-flexible cartography with Siamese topological neural networks
Cartography is a technique for creating maps, which are graphical representations of spatial information. Traditional cartography involves the creation of geographical data, such as locations of countries, geographical features of mountains, rivers, and ...
Pitoyo Hartono
doaj +1 more source
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga +14 more
wiley +1 more source
DrugRep-HeSiaGraph: When heterogenous siamese neural network meets knowledge graphs for drug repurposing [PDF]
Ghorbanali Z +4 more
europepmc +2 more sources
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar +6 more
wiley +1 more source
Using annual data for Costa Rica from 1980 to 2023, this study investigates the long‐run effects of globalization, foreign direct investment (FDI), access to clean fuels and technologies for cooking, renewable energy consumption, and economic growth on CO2 emissions by employing DOLS, FMOLS, and CCR estimators.
Mahmud Hasan Riaz
wiley +1 more source
A siamese neural network model for phase identification in distribution networks
Distribution system operators (DSOs) often lack high-quality data on low-voltage distribution networks (LVDNs), including the topology and the phase connection of residential customers. The phase connection is essential for phase balancing assessment and
Dong Liu +3 more
doaj +1 more source
The Big Picture: Religion and Global Comparative History
This article considers what a ‘big picture’ approach to global religious history might look like, and in particular the implications of deploying the comparative method across much larger stretches of time and space than historians normally attend to. It will begin by reflecting on the epistemological moods that have hindered this project to date, the ...
Alan Strathern
wiley +1 more source
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 [PDF]
Ornob TR, Roy G, Hassan E.
europepmc +2 more sources
AI‐based spatial analysis of tumor‐infiltrating lymphocytes in ovarian cancer revealed the highest infiltration in high‐grade serous carcinoma. Integrating pathology‐based immune phenotypes with HRD status provided additional prognostic insight and highlighted distinct relationships between TILs and genomic structure.
Kohei Hamada +17 more
wiley +1 more source
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source

