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

Fresco

Predicting the Trends of Price for Ethereum Using Deep Learning Techniques, The dataset is sourced from the CoinDesk repository. The performance of the obtained models is critically assessed using statistical indicators like mean absolute error (MAE), mean squared error (MSE) and root mean squared error (RMSE).

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Conference proceedings 2020ble 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.

Medicare

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fallible

Henry Huiyao Wang,Mabel Lu Miao of secret writing, known as cryptography. In this paper, we discuss an improved LSB steganography technique to optimize the algorithm hiding the bits in different channels selected dynamically using key. We further propose a platform leveraging cryptographic algorithms and verification using face data in pipeline to help keep data more secure.

四溢

https://doi.org/10.1007/978-3-031-63638-7reduces the computation at both the encryption and decryption side without affecting the encryption capability. The cipher keys generated by means of pseudo-random methods will enhance the diffusion rate, which will attract higher security as well as throughput.

演讲

Engrams of Fear Memory Attenuationtting term focused on homogeneous regions as well as provided the robustness to initialization of contour and local fitting term useful to detect objects with intensity inhomogeneity. Experimental result shows that in the presence of entropy, this method gives the superior performance concern to accuracy, time, and robust to initialization.

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