An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

SK Bhoi, KK Jena, SK Panda, HV Long… - Microprocessors and …, 2021 - Elsevier
Rice is a very essential food for the survival of human society. Most of the people focus on
production of rice for their financial gain as well as their survival in the society. Rice …

A comparative overview of hybrid recommender systems: Review, challenges, and prospects

R Seth, A Sharaff - Data mining and machine learning …, 2022 - Wiley Online Library
Recommender System (RS) helps to find the items according to user interest and provides
various suggestions that help in the decision‐making process. These suggestions depend …

Analysing the impact of contextual segments on the overall rating in multi-criteria recommender systems

CVM Krishna, GA Rao, S Anuradha - Journal of big Data, 2023 - Springer
Depending on the RMSE and sites sharing travel details, enormous reviews have been
posted day by day. In order to recognize potential target customers in a quick and effective …

[PDF][PDF] AI based forecasting of influenza patterns from twitter information using random forest algorithm

V Shanmuganathan, HR Yesudhas… - Hum. Cent. Comput …, 2021 - academia.edu
Nowadays, people are highly addicted to social media or any other social platform, and
there is no one without the Internet or Android mobile devices. Therefore, social media is …

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

J Lu, G Ma, G Zhang - IEEE Transactions on Fuzzy Systems, 2024 - ieeexplore.ieee.org
Machine learning draws its power from various disciplines, including computer science,
cognitive science, and statistics. Although machine learning has achieved great …

GLDS method for multiple attribute group decision making under 2-Tuple linguistic neutrosophic environment

J Fan, F Yan, M Wu - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
In this article, the gained and lost dominance score (GLDS) method is extended into the 2-
tuple linguistic neutrosophic environment, which also combined the power aggregation …

Forecasting carbon emissions using a multi-variable GM (1, N) model based on linear time-varying parameters

P **ong, L **ao, Y Liu, Z Yang… - Journal of Intelligent & …, 2021 - content.iospress.com
Faced with serious growing global warming problem, it is important to predict carbon
emissions. As there are a lot of factors affecting carbon emissions, a novel multi-variable …

A conscious cross-breed recommendation approach confining cold-start in electronic commerce systems

SGK Patro, BK Mishra, SK Panda, A Hota… - IEEE …, 2023 - ieeexplore.ieee.org
When a new customer enters the spectrum of the E-Commerce system, the informative
records and dataset, such as about the new user, purchasing history and other browsing …

Adaptive neuro-fuzzy inference system for customizing investment type based on the potential investors' demographics and feedback

A Asemi, A Asemi, A Ko - Journal of Big Data, 2023 - Springer
The proposed model is an adaptive neuro-fuzzy inference recommender system that utilizes
customer investment service feedback and fuzzy neural inference solutions to generate …

Recommendation of regression techniques for software maintainability prediction with multi-criteria decision-making

A Kumar, K Kaur - International Journal of Information Technology & …, 2023 - World Scientific
Context: Successful project management requires accurate estimation of maintenance effort
and cost. Software Maintainability Prediction (SMP) plays a very important role in controlling …