Titlebook: Intelligent Computing and Innovation on Data Science; Proceedings of ICTID Sheng-Lung Peng,Sun-Yuan Hsieh,Balaganesh Duraisam Conference pr

討厭

Soil Category Classification Using Convolutional Neural Network Long Short Wide Memory Method,soil would provoke a proper use of farmer land and reasonable respect to developing. Manual classification is repetitive, and time-consuming is to be done by farmers. This paper presents another strategy for impelling the classification soil series using deep learning methods. We develop long short-

LITHE

An Empirical Study on Selected Emerging Technologies: Strengths and Challenges,became necessary to investigate the strengths, potential weaknesses, and research gaps in those technologies. These will contribute to the body of knowledge and give researchers a sense of direction when embarking on a research journey to enhance any technologies. This paper was written in sections:

Misgiving

Energy Harvesting: A Panacea to the Epileptic Power Supply in Nigeria,the best-case scenario, the regular everyday power supply in Nigeria is assessed at four hours, albeit a few days can pass by with no force by any means. Neither force cuts nor reclamations are reported; prompting requires a heap shedding plan during the COVID-19 lockdowns to help reasonable conveya

GUEER

Forecasting of Inflation Rate Contingent on Consumer Price Index: Machine Learning Approach,e the financial aspect’s condition, including the political area. The way to restrain the inflation rate is the prediction of the inflation rate. This paper proposes forecasting the inflation rate by applying machine learning algorithms: support vector regression (SVR), random forest regressor (RFR)

Synchronism

intimate

,Sentiment Analysis to Assess Students’ Perception on the Adoption of Online Learning During Pre-COVID-19, e-learning methodologies were embraced only by inquisitive learners and by few corporate companies and educational institutions to disseminate knowledge through an alternative mode of content delivery. Although e-learning offers great flexibility to the learners to learn at their own convenie

Buttress

Aspiration

僵硬

Anomaly Detection in Business Process Event Using KNN Algorithm,data may be influenced by outliers suggesting rare behavior or “noise.” in the method of process discovery. This results in occasional journey directions, which clutch the process model in-process exploration, where a process model is automatically derived from the data. It presents this essay with

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