[PDF][PDF] Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges.

L Luo, X Li, K Yang, M Wei, J Yang… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
The emergence of power dispatching automation systems has greatly improved the
efficiency of power industry operations and promoted the rapid development of the power …

Deep learning enhancing performance using support vector machine HTM cortical learning algorithm

D Akila, S Pal, R Jayakarthik… - Journal of physics …, 2021 - iopscience.iop.org
Deep Learning is a function of AI that duplicates the mechanisms of human thought in the
processing of information and selection processes. The aim of this study is to apply a …

Research on incremental clustering algorithm for big data

X Yang - Applied Mathematics and Nonlinear Sciences, 2023 - sciendo.com
As the scale of data becomes larger and larger, clustering processing, a key step in data
mining, has important practical significance. Aiming at the problems of time consumption …

Breast Cancer Detection Using Hybrid Segmentation Using FOA and FCM Clustering

S Pal, S Maity, S Adhikari, MA Alkhafaji… - … on Mathematical Modeling …, 2023 - Springer
Medical image processing has recently been widely applied in a variety of fields. Finding the
anomaly problems in that image is highly beneficial for the early diagnosis of these ailments …

[PDF][PDF] A New Multimedia Web-Data Mining Approach based on Equivalence Class Evaluation Pipelined to Feature Maps onto Planar Projection

R Mogili, ME Naidu, G Narsimha - Informatica, 2023 - informatica.si
M. Ravi1, 3, M. Ekambaram Naidu2 and G. Narsimha3 1CMR Institute of Technology,
Hyderabad-501401, Telangana, India 2SRK Institute of Technology, Vijayawada-521108 …

Significance of Machine Learning and Deep Learning in Development of Artificial Intelligence

D Akila, S Jeyalaksshmi, D Padmapriya… - … Decision Models in …, 2022 - taylorfrancis.com
In the recent decades, the application of “machine learning”,“deep learning” and “artificial
intelligence” has become widespread. In pattern recognition, deep artificial neural networks …

A study of supervised machine learning techniques to predict cyclone

J Ghosh, P De, S Chattopadhyay, SP Dutta… - AIP Conference …, 2024 - pubs.aip.org
The most frequent cause of natural disasters in India is tropical cyclones. Early warning, real-
time monitoring, impact and damage assessment, and relief operations all depend on …

Big Data Analytics: Hybrid Classification in Brain Images Using BSO and SVM Check for updates

S Pal, S Maity, S Adhikari, MA Alkhafaji… - Proceedings of 3rd …, 2023 - books.google.com
Due to the fast growth of information technology, medical information technology has moved
in a smarter direction. The healthcare data may be used to create a health predictive model …

Two-and Four-Years College Leaders' Influence on Adoption of Technology: A Qualitative Analysis

M Saqer - 2023 - search.proquest.com
This qualitative, multiple-case study examined some of the reasons behind the lack of
technological support by two-and four-year college leadership in Houston, Texas, regarding …

YouTube Sentimental Analysis Using a Combined Approach of KNN and K-means Clustering Algorithm

S Adhikari, R Kaushik, AJ Obaid… - International Conference …, 2023 - Springer
Sentiment analysis is the method for learning what users think and feel about a service or a
product. YouTube, one of the most widely used video-sharing websites, receives millions of …