Titlebook: Innovations and Advances in Cognitive Systems; ICIACS 2024, Volume S. D. Prabu Ragavendiran,Vasile Daniel Pavaloaia,A Conference proceedin

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书目名称Innovations and Advances in Cognitive Systems影响因子(影响力)




书目名称Innovations and Advances in Cognitive Systems影响因子(影响力)学科排名




书目名称Innovations and Advances in Cognitive Systems网络公开度




书目名称Innovations and Advances in Cognitive Systems网络公开度学科排名




书目名称Innovations and Advances in Cognitive Systems被引频次




书目名称Innovations and Advances in Cognitive Systems被引频次学科排名




书目名称Innovations and Advances in Cognitive Systems年度引用




书目名称Innovations and Advances in Cognitive Systems年度引用学科排名




书目名称Innovations and Advances in Cognitive Systems读者反馈




书目名称Innovations and Advances in Cognitive Systems读者反馈学科排名

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Conference proceedings 2024e future of AI and its potential applications. It also serves as a valuable resource for professionals who are seeking to understand how AI will impact their industry, or tech enthusiasts captivated by the potential of this transformative technology..

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Machine Learning Algorithms for the Detection of Email Spam Based on Python Implementation,hms DT, RNN, CNN, Navies Bayes, and Bert card based exhibit their effectiveness in detecting the spam. Analysis and experimental results show that when compared to other algorithms, RNN and Bert Based algorithms have better accuracy.

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,Implementation of the Different ISAR İmaging Techniques-An Overview,ed, wave height, and motion of the target are to be considered. In that case, the return echo signal from the target will have third and fourth-order phase terms. In this regard, here, the imaging of a ship target for fourth-order phase terms using a new algorithm, MFCFT, is discussed, and the results confirm the superiority of the method.

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Image Enhancement Using Optimized Generative Adversarial Networks,d on the feature loss it has extracted from the input image. Also a new loss function is suggested that combines the features, edges, and reconstruction losses into one. Using deep learning techniques, the combination of CNNs and GANs produces enhanced high-quality images from low-resolution images with finer edges.