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Titlebook: Artificial Intelligence and Evolutionary Computations in Engineering Systems; Subhransu Sekhar Dash,C. Lakshmi,Bijaya Ketan Pani Conferenc

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發(fā)表于 2025-3-21 18:53:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Evolutionary Computations in Engineering Systems
影響因子2023Subhransu Sekhar Dash,C. Lakshmi,Bijaya Ketan Pani
視頻videohttp://file.papertrans.cn/163/162205/162205.mp4
發(fā)行地址Covers the latest developments in computational intelligence methodologies applied to communication systems.Outlines future research directions to promote R&D activities in mobile and wireless communi
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Artificial Intelligence and Evolutionary Computations in Engineering Systems;  Subhransu Sekhar Dash,C. Lakshmi,Bijaya Ketan Pani Conferenc
影響因子This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
Pindex Conference proceedings 2020
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https://doi.org/10.1007/978-3-031-63638-7. To increase the productivity in agriculture, early detection of diseases needs to be identified and addressed. In the research work, we have concise our discussion with detection of crop diseases using machine learning techniques, especially with support vector machine (SVM) and artificial neural
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https://doi.org/10.1007/978-3-031-63638-7tor to get the key from the cipher key database. The RDEA seems to be a great option for attaining greater security when we compare with 64-bit key of DES algorithm. Most of the random generators offered today are software-based random generators, which are not capable of generating actual random in
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https://doi.org/10.1007/978-3-031-63638-7o safeguard the network and its components, but still attackers emerge with cutting edge technologies to disturb the intention of legitimate users in the network. Thus, before devising proper defensive mechanisms against a specific attack, it is essential to understand the motive and strategies of t
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Engrams of Fear Memory Attenuationsult of segmentation. Paper presents a novel method which deals with intensity inhomogeneous images. The proposed method introduces global and local fitting image energy function, where global fitting image is based on entropy and, moreover, presents global and local signed pressure function for sta
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Lorena Andreoli,Kazumasa Z. Tanaka a cap which is used by the visually impaired person. The machine-learning algorithm is used for accurate detection of the object and provides an alarm. The ultrasonic sensor is used to measure the distance between the visually impaired person and the real-time object detected when the object is det
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Lorena Andreoli,Kazumasa Z. Tanakaken to withstand it and to maintain the pristine of the nature. One of them is preserving the wilder forests. The main motive of the proposed work is to classify the forest dataset so that it helps the authorities in maintaining the forests and protecting them by controlled deforestation and re-grow
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Lorena Andreoli,Kazumasa Z. Tanakao reduce the intricacies of wiring in an automobile. To overcome the shortcoming and compatibility of different sensors in a particular communication network and its applicability in different fields for the current real-time monitoring system, we have developed a communication module CANduino, whic
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