Results 51 to 60 of about 876,365 (298)

A Unified Lightweight Network for Complex Scene Image Understanding via Multi-Task Joint Learning

IEEE Access
Multi-task joint learning for complex scene image understanding faces multiple challenges, including diverse visual elements, task-specific demands, and constrained computational resources.
Tingting Guo, Sainan Yang, Yao Fu, Daitao Wang   +3 more
doaj   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

Evaluation of the Likelihood of Friend Request Acceptance in Online Social Networks

IEEE Access, 2019
Recent years online social networks (OSNs) have become an essential digital platform in the daily life of billions of earth inhabitants. Despite the advantages of easy communication and information sharing, OSNs users often fell in trouble causing by ...
Vitaliy Mezhuyev, S. M. Nazmus Sadat, Md. Arafatur Rahman, Nadia Refat, A. Taufiq Asyhari   +4 more
doaj   +1 more source

Software Infrastructure for Natural Language Processing

, 1997
We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish, Gaizauskas, Robert, Humphreys, Kevin, Wilks, Yorick   +3 more
core   +4 more sources

Preliminary findings from a survey on the MD state of the practice [PDF]

, 2011
In the context of an Italian research project, this paper reports on an on-line survey, performed with 155 software professionals, with the aim of investigating about their opinions and experiences in modeling during software development and Model-driven
Reggio, G., Ricca, F., Tiso, A., Tomassetti, Federico Cesare Argentino, Torchiano, Marco   +4 more
core   +1 more source

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Issues in Chinese Requirements Specifications: Insights from Survey Data and Static Analysis

JOIV: International Journal on Informatics Visualization
Requirements engineering is crucial for software project success. Issues like requirements ambiguity, inconsistency, and unverifiability contribute to unclear, conflicting, or untestable specifications, which can undermine the effectiveness and success ...
He Jiaying, Ng Keng Yap, Mohd Hafeez Osman, Sa’adah Hassan   +3 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Development of a Graphical Tool to integrate the Prometheus AEOlus methodology and Jason Platform

Advances in Distributed Computing and Artificial Intelligence Journal, 2018
Software Engineering (SE) is an area that intends to build high-quality software in a systematic way. However, traditional software engineering techniques and methods do not support the demand for developing Multiagent Systems (MAS).
Rafhael CUNHA
doaj   +1 more source

Converting OCL and CGMES Rules to SHACL in Smart Grids

IEEE Access, 2020
Models are first-class elements in Model-Driven Engineering (MDE). In this paradigm, the most widespread approaches adopted by the development community are Object-Oriented and ontological, formalized using Unified Modeling Language (UML) and Resource ...
Mohamed Larhrib, Miguel Escribano, Carlos Cerrada, Juan Jose Escribano   +3 more
doaj   +1 more source