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Binarization of document images: A comprehensive review
WA Mustafa, MMMA Kader - Journal of Physics: Conference …, 2018 - iopscience.iop.org
Document image binarization is one important pre-processing step, especially for data
analysis. Extraction of text from images and its recognition may be challenging due to the …
analysis. Extraction of text from images and its recognition may be challenging due to the …
RETRACTED: Efficient anomaly detection in surveillance videos based on multi layer perception recurrent neural network
M Murugesan, S Thilagamani - 2020 - Elsevier
RETRACTED: Efficient anomaly detection in surveillance videos based on multi layer perception
recurrent neural network - ScienceDirect Skip to main contentSkip to article Elsevier logo …
recurrent neural network - ScienceDirect Skip to main contentSkip to article Elsevier logo …
A paradigm shift in surgical planning and simulation using 3Dgraphy: experience of first 50 surgeries done using 3D-printed biomodels
Introduction Preoperative planning is an important aspect of any orthopedic surgery.
Traditionally, surgeons mentally rehearse the operation and anticipate problems based on …
Traditionally, surgeons mentally rehearse the operation and anticipate problems based on …
An analysis of document summarization for educational data classification using NLP with machine learning techniques
P Pandiaraja, KB Boopesh, T Deepthi… - … on Computing in …, 2022 - Springer
A document summarization network is a process to reduce the content of the papers without
reducing its meaning, that are connected by links. Document summarization networks have …
reducing its meaning, that are connected by links. Document summarization networks have …
Study of land cover classification from hyperspectral images using deep learning algorithm
K Karthik, M Nachammai, G Nivetha Gandhi… - Computer Networks and …, 2022 - Springer
As image sensor electronics have progressed, and hyperspectral images have been used in
a wide range of applications. In terms of recognizing the classes, a lot of research work has …
a wide range of applications. In terms of recognizing the classes, a lot of research work has …
[PDF][PDF] Agricultural Robot–A pesticide spraying device
P Vikram - … Journal of Future Generation Communication and …, 2020 - researchgate.net
A pesticide spraying ramble is the device for exact pesticide spraying equipped for
managing nebulous shapes and variable article targets. The gadget incorporates a solitary …
managing nebulous shapes and variable article targets. The gadget incorporates a solitary …
A practical guide to image processing in the creation of 3D models for orthopedics
Abstract Three-dimensional (3D) computer modelling and 3D printing technology is
approaching a commodity level in many areas, including medical applications. 3D computer …
approaching a commodity level in many areas, including medical applications. 3D computer …
Recommendation of pesticides based on automation detection of citrus fruits and leaves diseases using deep learning
As well as taking care of an always expanding population, agribusiness capacities as a
wellspring of energy and an answer for the issue of an unnatural weather change. Plant …
wellspring of energy and an answer for the issue of an unnatural weather change. Plant …
Degraded factors analysis in multimedia data using deep learning algorithm
A Selvi, JKT Selvi, V Umaiyal, S Keerthana… - Computer Networks and …, 2022 - Springer
Because artificial illumination is created in an indoor environment, multimedia data is
recorded in an optimal atmosphere. On the other hand, in an outdoor setting, it is critical to …
recorded in an optimal atmosphere. On the other hand, in an outdoor setting, it is critical to …
An analysis of E-commerce identification using sentimental analysis: a survey
P Pandiaraja, S Aishwarya, SV Indubala… - … on Computing in …, 2022 - Springer
Sentiment analysis is also known as opinion mining. It is one of the critical and rapidly
growing fields in Natural Language Processing. This research is intended to address the …
growing fields in Natural Language Processing. This research is intended to address the …