Titlebook: Neural Computing for Advanced Applications; Second International Haijun Zhang,Zhi Yang,Tianyong Hao Conference proceedings 2021 Springer Na

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Building Energy Performance Certificate Labelling Classification Based on Explainable Artificial Int from the historical registry of the building EPC best practices in Lombardy, Italy. The ANN classification model is calibrated and validated with optimal number of neurons. Results show that probability of detection for the ‘G’ labelled buildings is 0.9655 with a precision of 0.8547. In addition, t

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A Hybrid Machine Learning Approach for Customer Loyalty Predictionrder to realize the possible incremental value of hybrid model combining two learning techniques. Secondly, the proposed model is trained with behavourial RFM attributes and attitudinal factors such as customer satisfaction and product attributes, in order to better capture the influencing factors t

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LDA-Enhanced Federated Learning for Image Classification with Missing Modalitythen aggregated with LDA as a central classification to possibly achieve all patterns’ features. The trained LDA is then downloaded to the client to fulfill the pattern recognition. The proposed algorithm is applied to an image classification, and the experimental results demonstrate its efficiency

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Conference proceedings 2021ation, and industrial artificial intelligence; computer vision, image processing, and their industrial applications; cloud/edge/fog computing, the Internet of Things/Vehicles(IoT/IoV), and their system optimization; spreading dynamics, forecasting, and other intelligent techniques against coronaviru

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Xiumin Li,Jie Yu,Wenqiang Xudologi­ cally neutral, allowing development organizations a wide range of flexibility in the way they arrange their code repositories and structure the building of system com­ ponents. In short, Vesta advances the state of the art in configuration m978-1-4419-3472-7978-0-387-30852-4Series ISSN 0172-603X Series E-ISSN 2512-5486

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Hiu Fai Lee,Ming Jiang software project environment, estimation objectives, and estimation constraints..This book is the result of a successful collaboration between the process management division of Fraunhofer IESE and many softwa978-3-642-43365-8978-3-642-30764-5Series ISSN 2193-8199 Series E-ISSN 2193-8202

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