Titlebook: Second International Conference on Image Processing and Capsule Networks; ICIPCN 2021 Joy Iong-Zong Chen,Jo?o Manuel R. S. Tavares,Ke-Li Co

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A Survey of Machine Learning Techniques Applied for Automatic Traffic Light Recognition, A?Traffic Light Recognition System (TLRs) may help in the accurate detection of traffic lights using a hand-held mobile device. TLR helps in reduction of accidental mortality rates. It will also help improving transportation and mobility for old aged and differently-abled people. TLR system detects

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An Evaluation of Multiclass Leaf Classification Using Transfer Learning Techniques, It is useful in the majority of the research areas and one among them is plant leaf classification. The significance of leaf classification is applicable in medicinal purposes, agricultural uses etc. and also for protecting the endangered ones. In this paper we proposed transfer learning techniques

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Scene Generated with Text Guidance (VAAB System),tomorrow the future generation has to be ethically and morally strong. This can be inculcated efficiently through the means of visualization. This can be achieved by the proposed system which uses Refined Novel Generative Adversarial Network. The proposed system is one of the applications of the Ref

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Natural Disaster Prediction by Using Image Based Deep Learning and Machine Learning,gy-dependent. Nevertheless, the natural disasters cause great adversity by disrupting considerable human lives. Also, the disasters obstruct and affect many industries and services either directly or indirectly. Hence, it is necessary to study and observe data patterns and warning signs that lead to

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A Novel Multi-objective Differential Evolution Algorithm for Clustering Data Streams,ry effective field has been evolved called big data mining. The actual work of this process is to fetch various useful and effective patterns from this enormous amount of data. However, this work has been confined to the field of data stream clustering. In the field of data stream clustering, identi

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