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Found 5 papers, 0 papers with code
An adaptive network-based approach for advanced forecasting of cryptocurrency values
This paper describes an architecture for predicting the price of cryptocurrencies for the next seven days using the Adaptive Network Based Fuzzy Inference System (ANFIS).
Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
We have used the MSVD algorithm, reducing the image noise and then using the deep neural network to segment the tumor in the images.
Malware Detection in IOT Systems Using Machine Learning Techniques
Comparative analysis against prevalent techniques demonstrated the efficacy of the proposed model, highlighting its potential for enhancing IoT security.
evaluating bert and parsbert for analyzing persian advertisement data
Since the dataset provides a rich source of Persian text data, the authors use the Hazm library, a Python library designed for processing Persian text, and two state-of-the-art language models, mBERT and ParsBERT, to analyze it.
Multimodal Learning for Multi-Omics: A Survey
However, several challenges are hindering the development in this area, including the availability of easily accessible open-source tools.
