Results 61 to 70 of about 904,948 (308)
Graph learning considering dynamic structure and random structure
Journal of King Saud University: Computer and Information Sciences, 2023 Graph data is an important data type for representing the relationships between individuals, and many research works are conducted based on graph data.
Haiyao Dong +5 more
doaj +1 more source
Signal Constellations for Multilevel Coded Modulation with Sparse Graph Codes [PDF]
, 2005 A method to combine error-correction coding and spectral efficient modulation for transmission over channels with Gaussian noise is presented. The method of modulation leads to a signal constellation in which the constellation symbols have a nonuniform ...
Cronie, Harm S.
core +1 more source
NEFI: Network Extraction From Images
, 2015 Networks and network-like structures are amongst the central building blocks of many technological and biological systems. Given a mathematical graph representation of a network, methods from graph theory enable a precise investigation of its properties.
Dirnberger, Michael +2 more
core +1 more source
Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration
, 2022 The existing volumetric gain for robotic exploration is calculated in the 3D occupancy map, while the sampling-based exploration method is extended in the reachable (free) space. The inconsistency between them makes the existing calculation of volumetric gain inappropriate for a complete exploration of the environment. To address this issue, we propose
Sun, Zezhou +3 more
openaire +2 more sources
Plasmodium falciparum gametogenesis essential protein 1 (GEP1) is a transmission‐blocking target
FEBS Letters, EarlyView.This study shows Plasmodium falciparum GEP1 is vital for activating sexual stages of malarial parasites even independently of a mosquito factor. Knockout parasites completely fail gamete formation even when a phosphodiesterase inhibitor is added. Two single‐nucleotide polymorphisms (V241L and S263P) are found in 12%–20% of field samples.
Frederik Huppertz +5 more
wiley +1 more source
Experimental and bond graph based sensitivity calculations for micro-scale robust engineering design [PDF]
, 2005 Copyright @ 2005 IEEEBond graph modeling and sensitivity analysis are used to provide a platform for the robust design of a small mechatronic device, a behind-the-ear (BTE) hearing aid.
Atherton, MA +5 more
core
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Epistemic Network Analyses of Economics Students’ Graph Understanding: An Eye-Tracking Study
Sensors, 2020 Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular ...
Sebastian Brückner +3 more
doaj +1 more source
Integrating Knowledge Graphs into Distribution Grid Decision Support Systems
Future Internet, 2023 Distribution grids are complex networks containing multiple pieces of equipment. These components are interconnected, and each of them is described by various attributes.
Yashar Kor +3 more
doaj +1 more source
Secure Evaluation of Knowledge Graph Merging Gain
, 2021 Finding out the differences and commonalities between the knowledge of two parties is an important task. Such a comparison becomes necessary, when one party wants to determine how much it is worth to acquire the knowledge of the second party, or similarly when two parties try to determine, whether a collaboration could be beneficial.
Eichenberger, Leandro +3 more
openaire +2 more sources