Supporting Smart Manufacturing in the Space Industry: A Case Study
ABSTRACT In the era of Industry 4.0, the New Space Economy, often called Space 4.0, has taken center stage in the satellite industry. The advent of mega‐constellations, which entails mass satellite production, necessitates state‐of‐the‐art manufacturing methods.
Ala Arman +3 more
wiley +1 more source
Solutions for Big Data Processing and Analytics in Context of Smart Homes [PDF]
The paper analysis Big Data storage and processing solutions applicable in the smart grid context in case of large volume of data coming from sensors (smart meters, IoT appliances). A flexible architecture for data management is proposed that consists in
Adela BARA +2 more
doaj
Answering Complex Questions Using Open Information Extraction
While there has been substantial progress in factoid question-answering (QA), answering complex questions remains challenging, typically requiring both a large body of knowledge and inference techniques.
Clark, Peter +2 more
core +1 more source
Keywords Extraction Technology for Few‐Shot Learning in Customer Service
Our study presents a model named synonym and dialogue sequence (S&DS) that employs synonym replacement and text dimensionality reduction using a pre‐trained BERT model, followed by keyword extraction based on a BiLSTM‐CRF neural network. ABSTRACT Customer service primarily involves interaction with clients through phone calls.
Xiaol Ma +4 more
wiley +1 more source
SEARCH AND INDEX DATA USING ELASTICSEARCH
Currently, the use of traditional information retrieval methods for analyzing big data is becoming ineffective. Analysis and processing of a large amount of information require completely new conceptual solutions, one of which is Elasticsearch, a search engine based on the Lucene library.
V. A. Fedorova +2 more
openaire +2 more sources
WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking
We present WISER, a new semantic search engine for expert finding in academia. Our system is unsupervised and it jointly combines classical language modeling techniques, based on text evidences, with the Wikipedia Knowledge Graph, via entity linking ...
Cifariello, Paolo +2 more
core +1 more source
A Commit Classification Framework Incorporated With Prompt Tuning and External Knowledge
Commit classification is an important task in software maintenance, since it helps software developers classify code changes into different types according to their nature and purpose. This allows them to better understand how their development efforts are progressing, identify areas where they need improvement, and make informed decisions about when ...
Jiajun Tong, Xiaobin Rui, Antonio Galli
wiley +1 more source
A Vertical Cooperation Model to Manage Digital Collections and Institutional Resources
The technology space of the University of Denver Libraries to manage digital collections and institutional resources isn’t relegated to one department on campus – rather, it distributed across a network of collaborators with the skills and expertise to ...
Jack Maness +3 more
doaj +1 more source
Real‐Time Performance Optimization of Travel Reservation Systems Using AI and Microservices
This article proposes a hybrid architecture combining artificial intelligence and microservices to optimize the real‐time performance of travel reservation systems. By addressing key challenges such as latency, scalability, and resource allocation, the system demonstrates significant improvements in processing speed, availability, and user engagement ...
Biman Barua, M. Shamim Kaiser
wiley +1 more source
Building a Flexible and Resource-Light Monitoring Platform for a WLCG-Tier2 [PDF]
Software development projects at Edinburgh identified a desire to build and manage our own monitoring platform. This better allows us to support the developing and varied physics and computing interests of our Experimental Particle Physics group.
Currie Robert, Yuan Wenlong
doaj +1 more source

