Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for ...

AI is creating lucrative career paths, with top roles offering crores in salaries. Here's a look at the highest-paying AI jobs and the qualifications needed to land them ...

Breast cancer is the primary cause of death in women, resulting in a relatively high survival rate. We employ FCM to segment and detect cancerous cells in breast tissue images. UNET architecture is ...

Comparative Analysis of Lung Cancer Detection Using CNN, KNN, and SVM Algorithms: Evaluating Accuracy and Performance Abstract: Lung cancer remains a leading cause of mortality, emphasizing the ...

This paper addresses the limitations of existing convolutional neural network (CNN) models by proposing an advanced CNN algorithm (MCNN-RS) that incorporates Leaky ReLU,Swish activation functions, ...

To address the shortcomings of classical chaotic time series in image encryption algorithms in terms of low complexity, fewer control parameters, and limited range of value domains, this paper ...

Since cataracts are one of the main causes of visual impairment in the globe, early identification is essential to successful treatment. Convolutional Neural Networks (CNNs), a deep learning-based ...

This study analyzes urban issues by examining people's social media responses. The government requires public feedback to assess its performance in addressing these issues. The study employs a ...

Thus, our results are suggesting that the algorithm’s performance is statistically not significant. This suggested study method results states that it has been determined that the produced Novel CNN ...

This article combines the feature extraction ability of CNN, the global dependency captures ability of Transformer, and the bidirectional sequence modeling ability of BiLSTM to construct an efficient ...

The target detection model is built using the Faster R-CNN algorithm to perform human target detection, while the HRNet key point recognition algorithm is employed to detect human key points through ...

Accurate facial expression recognition (FER) systems are critical for many applications, including human- computer interaction, emotion analysis, and healthcare. This study uses the CK+ dataset, which ...