Daniel Neagu
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View article: Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village
Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village Open
View article: Optimal evolutionary framework-based activation function for image classification
Optimal evolutionary framework-based activation function for image classification Open
Typically, supervised Machine Learning (ML)-based image classifiers leverage algorithms derived from either Artificial Neural Networks (ANNs) or optimal separating hyperplane (OSH)-based algorithms. However, despite recent progress has bee…
View article: An NLP-based framework for early identification of design reliability issues from heterogeneous automotive lifecycle data
An NLP-based framework for early identification of design reliability issues from heterogeneous automotive lifecycle data Open
View article: Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare
Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare Open
The early diagnosis and personalised treatment of diseases are facilitated by machine learning. The quality of data has an impact on diagnosis because medical data are usually sparse, imbalanced, and contain irrelevant attributes, resultin…
View article: Strategic workforce planning in health and social care – an international perspective: A scoping review
Strategic workforce planning in health and social care – an international perspective: A scoping review Open
View article: Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective
Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective Open
Immunotherapy treatments can be essential sometimes and a waste of valuable resources in other cases, depending on the diagnosis results. Therefore, researchers in immunotherapy need to be updated on the current status of research by explo…
View article: Engineering Data‐ & Model‐Driven Applications: <scp>EDMA</scp>‐2017 special issue editorial
Engineering Data‐ & Model‐Driven Applications: <span>EDMA</span>‐2017 special issue editorial Open
EDMA-2017, the first International Workshop on Engineering Data- & Model-driven Applications, was held in conjunction with the 10th IEEE International Conference on Cyber, Physical and Social Computing (IEEE CPSCom-2017). EDMA-2017 provide…
View article: Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series
Deep Quantile Regression for Unsupervised Anomaly Detection in Time-Series Open
Time-series anomaly detection receives increasing research interest given the growing number of data-rich application domains. Recent additions to anomaly detection methods in research literature include deep neural networks (DNNs: e.g., R…
View article: Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19
Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19 Open
View article: Diagnostics and prognostics for complex systems: A review of methods and challenges
Diagnostics and prognostics for complex systems: A review of methods and challenges Open
Diagnostics and prognostics have a significant role in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that imp…
View article: COSMOS next generation – A public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicals
COSMOS next generation – A public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicals Open
View article: Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems
Integration of Hidden Markov Modelling and Bayesian Network for fault detection and prediction of complex engineered systems Open
View article: Message from the BDCloud-2020 General Chairs ISPA-BDCloud-SocialCom-SustainCom 2020
Message from the BDCloud-2020 General Chairs ISPA-BDCloud-SocialCom-SustainCom 2020 Open
Welcome to the 10th IEEE International Conference on Big Data and Cloud Computing (BDCloud-2020), held in Exeter (online
View article: Message from Program Chairs
Message from Program Chairs Open
Welcome to the 7th International Conference on Information Science and Control Engineering (
View article: QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics Open
The ReLU activation function (AF) has been extensively applied in deep neural networks, in particular Convolutional Neural Networks (CNN), for image classification despite its unresolved dying ReLU problem, which poses challenges to reliab…
View article: A novel application of deep learning with image cropping: a smart city use case for flood monitoring
A novel application of deep learning with image cropping: a smart city use case for flood monitoring Open
View article: Proximity Curves for Potential-Based Clustering
Proximity Curves for Potential-Based Clustering Open
View article: Program Committee and Reviewers
Program Committee and Reviewers Open
View article: Message from the Program Chairs: ICISCE 2019
Message from the Program Chairs: ICISCE 2019 Open
Welcome to the 6th International Conference on Information Science and Control Engineering (
View article: Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets
Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets Open
Distance-based algorithms are widely used for data classification problems. The k-nearest neighbour classification (k-NN) is one of the most popular distance-based algorithms. This classification is based on measuring the distances between…
View article: Automotive IVHM: Towards Intelligent Personalised Systems Healthcare
Automotive IVHM: Towards Intelligent Personalised Systems Healthcare Open
Underpinned by a contemporary view of automotive systems as cyber-physical systems, characterised by progressively open architectures increasingly defined by their interaction with the users and the smart environment, this paper provides a…
View article: An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical Systems
An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical Systems Open
Advancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technolog…
View article: Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring
Using Deep Learning for IoT-enabled Camera: A Use Case of Flood Monitoring Open
In recent years, deep learning has been increasingly used for several applications such as object analysis, feature extraction and image classification. This paper explores the use of deep learning in a flood monitoring application in the …
View article: Ranking strategies to support toxicity prediction: A case study on potential LXR binders
Ranking strategies to support toxicity prediction: A case study on potential LXR binders Open
View article: Design and Development of E-Health System
Design and Development of E-Health System Open
The provision of health care has had great improvement in the recent past as a result of innovation in equipment and technology. In keeping with this achievement, there is need to incorporate Information and Communication Technologies in p…
View article: TOWARDS A FRAMEWORK FOR ENGINEERING BIG DATA: AN AUTOMOTIVE SYSTEMS PERSPECTIVE
TOWARDS A FRAMEWORK FOR ENGINEERING BIG DATA: AN AUTOMOTIVE SYSTEMS PERSPECTIVE Open
Demand for more sophisticated models to meet big data expectations require significant data repository obligations, operating concurrently in higher-level applications. Current models provide only disjointed modelling paradigms. The propos…
View article: Reliability Challenges for Automotive Aftertreatment Systems: a State-of-the-art Perspective
Reliability Challenges for Automotive Aftertreatment Systems: a State-of-the-art Perspective Open
View article: Comparison between Range-based and Prefix Dewey Encoding
Comparison between Range-based and Prefix Dewey Encoding Open
View article: Special issue on innovative techniques and applications of artificial intelligence guest editorial
Special issue on innovative techniques and applications of artificial intelligence guest editorial Open
As a continuation of a fruitful experimental collaboration between BCS Specialist Group in Artificial Intelligence and Expert Systems: The Journal of Knowledge Engineering, this special issue is dedicated to extended and upgraded original …
View article: Towards a Data Quality Framework for Heterogeneous Data
Towards a Data Quality Framework for Heterogeneous Data Open
Every industry has significant data output as a product of their working process, and with the recent advent of big data mining and integrated data warehousing it is the case for a robust methodology for assessing the quality for sustainab…