64   Artículos

 
en línea
Yu Yao and Quan Qian    
We develop the online process parameter design (OPPD) framework for efficiently handling streaming data collected from industrial automation equipment. This framework integrates online machine learning, concept drift detection and Bayesian optimization t... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Reenu Mohandas, Mark Southern, Eoin O?Connell and Martin Hayes    
Deep learning based visual cognition has greatly improved the accuracy of defect detection, reducing processing times and increasing product throughput across a variety of manufacturing use cases. There is however a continuing need for rigorous procedure... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu and Han-Chieh Chao    
Federated learning trains a neural network model using the client?s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) becau... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh    
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Danilo Pau, Andrea Pisani and Antonio Candelieri    
In the context of TinyML, many research efforts have been devoted to designing forward topologies to support On-Device Learning. Reaching this target would bring numerous advantages, including reductions in latency and computational complexity, stronger ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhehu Yuan, Yinqi Sun and Dennis Shasha    
Database and data structure research can improve machine learning performance in many ways. One way is to design better algorithms on data structures. This paper combines the use of incremental computation as well as sequential and probabilistic filterin... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Guilherme Yukio Sakurai, Jessica Fernandes Lopes, Bruno Bogaz Zarpelão and Sylvio Barbon Junior    
The stream mining paradigm has become increasingly popular due to the vast number of algorithms and methodologies it provides to address the current challenges of Internet of Things (IoT) and modern machine learning systems. Change detection algorithms, ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sijia Jia, Zhenkai Zhang, Qi Dang, Chen Song and Chao Yang    
Compared with traditional wings equipped with conventional control surfaces, variable-camber morphing wings have become a hot research topic in the field of aviation due to their ability to maintain a smooth and continuous overall shape while ensuring ex... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Abishek Manikandaraja, Peter Aaby and Nikolaos Pitropakis    
Artificial intelligence and machine learning have become a necessary part of modern living along with the increased adoption of new computational devices. Because machine learning and artificial intelligence can detect malware better than traditional sig... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Viacheslav Moskalenko, Vyacheslav Kharchenko, Alona Moskalenko and Borys Kuzikov    
Artificial intelligence systems are increasingly being used in industrial applications, security and military contexts, disaster response complexes, policing and justice practices, finance, and healthcare systems. However, disruptions to these systems ca... ver más
Revista: Algorithms    Formato: Electrónico

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