[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 …
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 …
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 …
mining, has important practical significance. Aiming at the problems of time consumption …
Breast Cancer Detection Using Hybrid Segmentation Using FOA and FCM Clustering
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 …
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
M. Ravi1, 3, M. Ekambaram Naidu2 and G. Narsimha3 1CMR Institute of Technology,
Hyderabad-501401, Telangana, India 2SRK Institute of Technology, Vijayawada-521108 …
Hyderabad-501401, Telangana, India 2SRK Institute of Technology, Vijayawada-521108 …
Significance of Machine Learning and Deep Learning in Development of Artificial Intelligence
In the recent decades, the application of “machine learning”,“deep learning” and “artificial
intelligence” has become widespread. In pattern recognition, deep artificial neural networks …
intelligence” has become widespread. In pattern recognition, deep artificial neural networks …
A study of supervised machine learning techniques to predict cyclone
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 …
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
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 …
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 …
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
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 …
product. YouTube, one of the most widely used video-sharing websites, receives millions of …