Titlebook: Computational Intelligence in Data Science; 5th IFIP TC 12 Inter Lekshmi Kalinathan,Priyadharsini R.,Manisha S. Conference proceedings 2022

GULF

LIEN

The Internationalisation of Retailing conditions due to drastic climate changes have caused a significant increase in the growth of diseases among crops. On a large scale, these diseases cause eventual financial loss to the farmers due to a decrease in farming. Fast and early detection of the disease remains a challenge in most parts o

同步左右

The Internationalisation of Retailingbut still accidents are happening. This is due to that, the technologies which are available in present are all detecting the drowsiness of the driver at the time accidents. So, there is a possibility for happening of accidents. If the drowsiness of the driver, can be predicted before driving, it wi

Detonate

存心

https://doi.org/10.1007/978-3-030-91159-1odels implemented include Convolutional Neural Networks (CNN), Long Short Term Memory (LSTM), a combination of CNN-LSTM and Bidirectional LSTM. Neural Structure Learning was also implemented over a CNN-LSTM model along with Deep Belief Networks (DBN). It is identified that the Deep Learning models C

NAIVE

灌溉

Customer Relationship Managementg Machine Learning. In this paper, the decision-making classification is compared. The Reduced Error Pruning Tree (REPTree) and Random Forest algorithm is implemented on train dataset with diverse nodes. The attributes are focused as age & time spent on social media as per necessity of study. This p

athlete’s-foot

angina-pectoris

Hyaluronic-Acid

Retail Branding and Positioningis paper we will be using Computer Neural Network (CNN) to process our images and videos because CNN is a type of artificial neural network that is used in recognition of large pixel videos or images. The proposed technique can be the perfect way to help the person while people carry out their daily