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 ...

Discover the game-changing VS Code extensions that every Python developer needs. Boost productivity, catch errors in real-time, and make coding more intuitive with these must-have tools.

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 ...

For accurate HAR, the current research proposes an Improved Cat Swarm Optimization Algorithm based Convolutional Neural Network (ICSO-CNN) for tuning the parameters of CNN for optimal solution. Using ...

Recently Convolution Neural Network (CNN) has become very popular in AI applications. CNN requires a lot of computational resources that has significant impact on chip size. In this paper we proposed ...

One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for precise, ...

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 ...

Segmentation and classification of brain tumors using Convolutional Neural Networks (CNN) is a critical advancement in medical imaging, offering precise and automated analysis of brain scans. This ...

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 ...

This paper presents a framework leveraging Raspberry Pi for the detection and prevention of plant diseases, employing a Convolutional Neural Network (CNN) algorithm for image analysis. With a focus on ...

This work aims to improve plant disease prediction through the implementation of an intriguing and revolutionary model that combines refined algorithms for machine learning with predictive analytics ...