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Titlebook: Advanced Machine Learning Technologies and Applications; Proceedings of AMLTA Aboul Ella Hassanien,Roheet Bhatnagar,Ashraf Darwi Conference

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https://doi.org/10.1007/978-981-16-9131-7s gaining prominence in remote sensing data analysis. The main challenge of object detection in remote sensing data is that the objects appear small and different objects look similar in the images. Another challenge in remote sensing data especially for real-time detection is the volume of the data
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Data-Model Fusion RUL Prediction,se. It is a serious and sometimes fatal disease caused by a parasite that commonly infects a certain type of mosquito which feeds on humans. The traditional microscopy technique has a few weaknesses which incorporate time utilization and reproducibility of the results. This paper deals with the auto
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Conference proceedings 20210), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization. .
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Regine Buschauer,Christian Wadephuleep complex model to handle face PAD. To countermeasure the above issue, in this paper, we apply a deep learning approach to mitigate the presentation attack. In our proposed approach, we implement a lightweight ‘modified-AlexNet’ and obtained the highest test accuracy of 99.89% on the Spoof in the Wild (SiW) dataset.
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Heidrun Allert,Christoph Richtero not converge to a specific point to the search space. We used CEC2015 benchmark functions for measuring the performance of the proposed algorithm, and the results indicate that the proposed approach is able to find effective solutions after comparing the different state-of-the-art algorithms of DE.
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