Deep learning is a computer-based modeling approach, which made up of many processing layers that are used to understand the representation data with several levels abstraction. This review paper presents state art in deep highlight major challenges and contributions computer vision. work mainly gives an overview current understanding their approaches solving traditional artificial intelligence...

Breast cancer is one of the most dangerous diseases and second largest cause women death. Techniques methods have been adopted for early indications disease signs as it’s only effective way managing breast in women. This review explores techniques used Computer-Aided Diagnosis (CAD) using image analysis, deep learning traditional machine learning. It primarily gives an introduction to various s...

in recent years, researches on reinforcement learning (rl) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. neural network reinforcement learning (nnrl) is among the most popular algorithms in the rl framework. the advantage of using neural networks enables the rl to search for optimal policies more efficiently in several real-life applicat...

Success in student learning is the primary aim of educational system. Artificial intelligence utilizes data and machine to achieve excellence learning. In this paper, we exploit several techniques estimate early performance. Two main simulations are used for evaluation. The first simulation Traditional Machine Learning Classifiers (TMLCs) applied House dataset, they Gaussian Naïve Bayes (GNB), ...

Agriculture plays a vital role in the economic growth of any country. With increase population, frequent changes climatic conditions and limited resources, it becomes challenging task to fulfil food requirement present population. Precision agriculture also known as smart farming have emerged an innovative tool address current challenges agricultural sustainability. The mechanism that drives th...