Results 81 to 90 of about 113,367 (297)

Understanding smallholder decision‐making to increase farm tree diversity: Enablers and barriers for forest landscape restoration in Western Kenya

People and Nature, EarlyView.
Abstract Integrating diverse trees and shrubs (hereafter ‘trees’) in agricultural landscapes has emerged as a crucial nature‐based solution to the triple challenge of biodiversity loss, climate change and food security. The potential benefits of on‐farm trees for both people and nature, however, are often constrained by inadequate consideration of ...
Ennia Bosshard, Harrison Carter, Lillian Aluso, Reuben Chumba, Christopher N. Kaiser‐Bunbury, Chris J. Kettle, Ana Nuno   +6 more
wiley   +1 more source

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree [PDF]

, 2020
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin   +4 more
openalex   +3 more sources

Holistic Analysis for Mismatch Losses in Photovoltaic Modules: Assessing the Impact of Inhomogeneity from Operational Conditions and Degradation Mechanisms on Power and Yield

Progress in Photovoltaics: Research and Applications, EarlyView.
In this publication, we present a comprehensive investigation into mismatch losses in PV modules, focusing on the interplay between operational conditions and degradation mechanisms and their collective impact on power generation considering various module designs, including full‐cell, half‐cell, string‐shingled, and matrix‐shingled configurations ...
Ammar Tummalieh, Max Mittag, Christian Reichel, Alexander Protti, Holger Neuhaus   +4 more
wiley   +1 more source

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

Remote Sensing in Ecology and Conservation, EarlyView.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey, Christopher Latty, Zoey Chapman, Tuula E. Hollmen   +3 more
wiley   +1 more source

Research on monitoring method during the construction of safety-critical software

Xibei Gongye Daxue Xuebao
The C language is widely used in aerospace and other critical areas due to its flexibility and high efficiency. However, C programs have safety risks, such as unrestricted pointer operations and lack of boundary checks for arrays and strings, which can ...
WANG Ben, DING Chengjun, LIN Wei, MA Chunyan   +3 more
doaj   +1 more source

Deteksi Similarity Source Code Menggunakan Metode Deteksi Abstract Syntax Tree [PDF]

, 2014
Laboratorium Fakultas Teknik Infomatika Universitas Muhammadiyah Jakarta (FT–InformatikaUMJ) sebagai tempat pembelajaran bagi para mahasiswa informatika yang mengikuti kelaspemrograman selalu memberikan tugas-tugas sebagai salah ...
Dzil Jalal, Ahmad Fadly, Prasetya, E. B. (Eka)   +1 more
core   +1 more source

Graph Representations for Higher-Order Logic and Theorem Proving

, 2019
This paper presents the first use of graph neural networks (GNNs) for higher-order proof search and demonstrates that GNNs can improve upon state-of-the-art results in this domain.
Bansal, Kshitij, Loos, Sarah, Paliwal, Aditya, Rabe, Markus, Szegedy, Christian   +4 more
core   +1 more source

A Systematic Review of Urban Regeneration's Impact on Sustainable Transport: Traffic Dynamics, Policy Responses, and Environmental Implications

Sustainable Development, EarlyView.
ABSTRACT This systematic review examines urban regeneration's effects on sustainable transport using the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses methodology (PRISMA). The study analyzed 108 peer‐reviewed articles (2000–2024) across different continents, evaluating four variable clusters: traffic dynamics (congestion, modal ...
Serdar Dindar
wiley   +1 more source

A Suitable AST Node Granularity and Multi-Kernel Transfer Convolutional Neural Network for Cross-Project Defect Prediction

IEEE Access, 2020
Cross-project defect prediction (CPDP) is a feasible way to perform software defect prediction (SDP) when lacking historical data. Recent CPDP approaches have employed deep learning techniques to better exploit the information from the program's abstract
Jiehan Deng, Lu Lu, Shaojian Qiu, Yangpeng Ou   +3 more
doaj   +1 more source

Embedded Controlled Languages

, 2014
Inspired by embedded programming languages, an embedded CNL (controlled natural language) is a proper fragment of an entire natural language (its host language), but it has a parser that recognizes the entire host language.
Ranta, Aarne
core   +1 more source