Titlebook: Cognitive Computing and Cyber Physical Systems; 4th EAI Internationa Prakash Pareek,Nishu Gupta,M. J. C. S. Reis Conference proceedings 202

PHON

DRL Based Multi-objective Resource Optimization Technique in a Multi-cloud Environmenten enhanced flower pollination allocate the optimized resources for the demanded request. The comparison of the proposed model is done with simulation results of MOROT and neural network model and also implemented on GoCS real dataset of google. The proposed model gives better results when compared

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Aspect Level Sentiment Analysis to Extract Valuable Insight for Airline’s Customer Feedback and Reviax and micro-blogging sites such as Twitter. We can use these kinds of datasets to provides the aspect level sentiment analysis. Therefore, we have explored, in this article, a language model built upon a pretrained deep neural networks capable of analyzing the sequence of text to classify it as hav

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狂熱語言

Estimation of Power Consumption Prediction of Electricity Using Machine Learningtionally present the state-of-the-art programming apparatuses that award power assessment standards, along with two use cases that reinforce the request of energy fatigue in ML. Toward the end, we anticipate the future energy which is so useful to the matrix to make exact energy for the network by r

miscreant

Medical Plants Identification Using Leaves Based on Convolutional Neural Networksl performance of this architecture is checked using accuracy measure and it is observed that three models with freeze layers were showing good performance. Out of these three architectures, Resnet-50 shown accuracy of 95.33%.

袖章

Maixdock Based Driver Drowsiness Detection System Using CNN. Facial characteristics, such as gaping, and ocular metrics, such as eye-closing, are the areas of concern used here. In this study, additional variables like camera distance from the vehicle and illumination effects are examined. These variables have the potential to influence the rate of categori

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An Optimized Ensemble Machine Learning Framework for Multi-class Classification of Date Fruits by In for quality control, sorting, and grading processes in the food industry. However, the classification of date fruits poses several challenges due to variations in their external visible physical attributes and the presence of multiple cultivars. To address the issue of high-dimensional feature spac

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Harmonizing Insights: Python-Based Data Analysis of Spotify’s Musical Tapestrys the popularity index, identify key attributes of popular songs, and develop a model for predicting song popularity based on current characteristics. The analysis involves data cleaning, exploratory data analysis, and visualization using Python libraries. With over 381 million monthly active users,

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Comparative Study of Predicting Stock Index Using Deep Learning Modelsodels, and more recent machine learning and artificial intelligence approaches. Recently, neural networks have been incorporated into the forecasting scenario, such as the LSTM and conventional RNN approaches, which utilize short-term and long-term dependencies. This study evaluates traditional fore