Piyush Kumar Pareek
Biographic Data
| ID | 8199097 |
|---|---|
| NAME | Piyush Kumar Pareek |
| GIVEN NAMES | Piyush Kumar |
| FAMILY NAME | Pareek |
| SIGNATURE | PAREEK P K |
| AFFILIATIONS | Meenakshi Academy of Higher Education and Research |
| ORCID | 0000-0003-2287-0122 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Survey on NLP based automatic extractive text summarization using spacy
Automatic abstraction of text is considered one of the most difficult problems because mathematically there is no real way to test a summary but one can distinguish between the appropriate summary. Also, abbreviations may be of a variety of abstractive forms in which new phrases and terms are used, in contrast Extractive form in which scoring sentences from enter textual content gets extracted as a summary sentence. The growing discovery of onlin…
Implementation of NLP based automatic text summarization using spacy
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we need a solution that converts this massive amount of raw information into useful information that the human brain can understand. One such common technique in research that helps when dealing with large amounts of data is text summarization. Automatic summarization is a well-known approach to reduce documents to key ideas. This works by storing impo…
Human activity recognition using CNN and long term short term memory
Human activity recognition aims to work out the activities performed by someone in a picture or video. Examples of actions are running, sitting, sleeping, and standing. Complex movement patterns and harmful occurrences like falling may be a part of these activities. The suggested ConvLSTM network can be created by successively combining fully connected layers, long immediate memory (LSTM) networks, and convolutional neural networks (CNN). The acq…
Resoluting multispectral image using image fusion and CNN model
This paper mainly focus on multispectral image for Entertainment purpose, with such application the quality of the image is an important factor that affects the accuracy of the recognition. Due to hardware limitation, multispectral imaging device may fails to generate high resolution (HR) image. In order to overcome the issue, here we proposes multispectral image super-resolution algorithm (MISR), by fusing low-resolution (LR) multispectral image…
Recognition efficiency enhancement of control chart pattern using ensemble MLP neural network
chart pattern for six different fundamental patterns have been proposed. The multilayer perceptron based neural network has applied as an entity to form the ensemble. The loss of generalization property of an individual neural network has been fulfilled by providing the diversity in the training data for the individual entity of ensemble. The outcome of individual recognizer has combined over their decision value to include the outcome knowledge …
Cloud computing, emerging computing technology of new age
Cloud computing is seen as an emerging technology highly utilized by different industries and businesses to optimize their processes conservation resources. Its popularity opens various loopholes and barriers, which are useful, especially when improving its overall performance. This study is conducted cloud computing further technological improvements suggested. This technology has been attractive developers and end-users because it provides both…
Survey on Automated Medical Image Classification Using Deep Learning
Deep Learning has indeed been widely used in many fields/areas of medicinal images classification, and a large number of publications have been published documenting its success. The key for achieving effective diagnosis and therapy is accurate characterization of medical pictures. However, because image interpretation is highly dependent on the subjective opinion of doctors, the results of image processing vary greatly amongst clinicians at diff…
No prominent works on this page.
Survey on NLP based automatic extractive text summarization using spacy
Automatic abstraction of text is considered one of the most difficult problems because mathematically there is no real way to test a summary but one can distinguish between the appropriate summary. Also, abbreviations may be of a variety of abstractive forms in which new phrases and terms are used, in contrast Extractive form in which scoring sentences from enter textual content gets extracted as a summary sentence. The growing discovery of onlin…
Implementation of NLP based automatic text summarization using spacy
The amount of data on the Internet has increased exponentially over the past decade. Therefore, we need a solution that converts this massive amount of raw information into useful information that the human brain can understand. One such common technique in research that helps when dealing with large amounts of data is text summarization. Automatic summarization is a well-known approach to reduce documents to key ideas. This works by storing impo…
Human activity recognition using CNN and long term short term memory
Human activity recognition aims to work out the activities performed by someone in a picture or video. Examples of actions are running, sitting, sleeping, and standing. Complex movement patterns and harmful occurrences like falling may be a part of these activities. The suggested ConvLSTM network can be created by successively combining fully connected layers, long immediate memory (LSTM) networks, and convolutional neural networks (CNN). The acq…
Resoluting multispectral image using image fusion and CNN model
This paper mainly focus on multispectral image for Entertainment purpose, with such application the quality of the image is an important factor that affects the accuracy of the recognition. Due to hardware limitation, multispectral imaging device may fails to generate high resolution (HR) image. In order to overcome the issue, here we proposes multispectral image super-resolution algorithm (MISR), by fusing low-resolution (LR) multispectral image…
Recognition efficiency enhancement of control chart pattern using ensemble MLP neural network
chart pattern for six different fundamental patterns have been proposed. The multilayer perceptron based neural network has applied as an entity to form the ensemble. The loss of generalization property of an individual neural network has been fulfilled by providing the diversity in the training data for the individual entity of ensemble. The outcome of individual recognizer has combined over their decision value to include the outcome knowledge …
Cloud computing, emerging computing technology of new age
Cloud computing is seen as an emerging technology highly utilized by different industries and businesses to optimize their processes conservation resources. Its popularity opens various loopholes and barriers, which are useful, especially when improving its overall performance. This study is conducted cloud computing further technological improvements suggested. This technology has been attractive developers and end-users because it provides both…
Survey on Automated Medical Image Classification Using Deep Learning
Deep Learning has indeed been widely used in many fields/areas of medicinal images classification, and a large number of publications have been published documenting its success. The key for achieving effective diagnosis and therapy is accurate characterization of medical pictures. However, because image interpretation is highly dependent on the subjective opinion of doctors, the results of image processing vary greatly amongst clinicians at diff…
Computer Science (7 works) · Artificial Intelligence (6 works) · Pattern recognition (psychology (3 works) · Abstraction (2 works) · Advanced Text Analysis Techniques (2 works) · Artificial neural network (2 works) · Automatic summarization (2 works) · Computer vision (2 works) · Focus (optics (2 works) · Image (mathematics (2 works)