Results 61 to 70 of about 6,553 (193)
Design and Implementation of a General-Purpose and Scalable Decision Support System Framework
Decision Support Systems facilitate timely and informed decision-making by integrating heterogeneous data sources, analytical models, and user interfaces into cohesive systems.
İsmail Öztel, Celal Çeken
doaj +1 more source
Building Near-Real-Time Processing Pipelines with the Spark-MPI Platform
Advances in detectors and computational technologies provide new opportunities for applied research and the fundamental sciences. Concurrently, dramatic increases in the three Vs (Volume, Velocity, and Variety) of experimental data and the scale of ...
Chaudhary, Aashish +6 more
core +1 more source
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
Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms
Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s function to discover its irregularity to detect the health problems early.
Abdullah Alharbi +3 more
doaj +1 more source
This research presents a next‐generation airline reservation system that integrates cloud microservices, distributed Artificial intelligence (AI) modules, and blockchain technology to improve system efficiency, security, and customer satisfaction. The proposed architecture enhances scalability, transaction speed, and fraud prevention, while increasing ...
Biman Barua, M. Shamim Kaiser
wiley +1 more source
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge
Today, massive amounts of streaming data from smart devices need to be analyzed automatically to realize the Internet of Things. The Complex Event Processing (CEP) paradigm promises low-latency pattern detection on event streams.
Abdo, Majd +2 more
core +1 more source
In view of the difficulties in project investment decision‐making, a comprehensive project investment decision‐making system is proposed to be constructed based on the digital twin concept, and an economic evaluation model is established from the perspective of digital twin.
Cheng Guangfeng, Luo Dong
wiley +1 more source
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection
Detecting patterns in real time streaming data has been an interesting and challenging data analytics problem. With the proliferation of a variety of sensor devices, real-time analytics of data from the Internet of Things (IoT) to learn regular and ...
Isah, Haruna +3 more
core +1 more source
Power System Digital Twins in Action: What We Learnt and Where We Go Next
This work presents insights from developing digital twins for microgrids, highlighting challenges in fidelity standards, multi‐physics modelling and real‐time synchronisation while proposing future directions in adaptive hybrid modelling, scalable architectures and ethical frameworks to advance power system resilience and operational efficiency ...
Md Khairul Islam +5 more
wiley +1 more source
Towards More Data-Aware Application Integration (extended version)
Although most business application data is stored in relational databases, programming languages and wire formats in integration middleware systems are not table-centric.
C Zaniolo +10 more
core +1 more source

