Content based email spam classifier as a web application using Naïve Bayes classifier
Spam has emerged as a significant issue that is endangering the reliability of existing email
networks. The email has become an essential means of sharing information worldwide for …
networks. The email has become an essential means of sharing information worldwide for …
A deep learning approach for recognizing covid-19 from chest x-ray using modified cnn-bilstm with m-svm
At present, Covid-19 is posing serious intimidation to students, doctors, scientists and
governments all around the world. It is a single-stranded RNA virus with one of the …
governments all around the world. It is a single-stranded RNA virus with one of the …
Emotion, age and gender recognition using surf, brisk, m-svm and modified cnn
Nowadays, it is a challenging task of recognizing the emotions, gender, and age of a person
at the same time. Researchers are working hard to develop techniques and code to extract …
at the same time. Researchers are working hard to develop techniques and code to extract …
Improved face detection system
Biometric applications have been using face detection approaches for security purposes
such as human–crowd surveillance, many security-related areas, and computer interaction …
such as human–crowd surveillance, many security-related areas, and computer interaction …
A deep learning approach for detecting bangladeshi counterfeit currency
Fake or duplicate currency made with the intent to deceive is referred to as counterfeit
money. According to recent sources, demonetization resulted in an all-time high inflow of …
money. According to recent sources, demonetization resulted in an all-time high inflow of …
Few-Shot Learning on Histopathology Image Classification
AK Titoriya, MP Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Cancer detection in histopathology slides is not easy even today. CNN (Convolutional
Neural Network) based Object identification and segmentation algorithms work very well. A …
Neural Network) based Object identification and segmentation algorithms work very well. A …
Data Analysis and System Development for Medical Professionals on Sleep Apnea Syndrome and Orthostatic Dysregulation by Processing-Healthcare Professionals …
M Shirasuna - Sensors, 2022 - mdpi.com
This paper presents the details of our research and the activities involved. Japan is one of
the most advanced countries in medicine worldwide. However, in terms of technology …
the most advanced countries in medicine worldwide. However, in terms of technology …
Analysis of Convolutional Neural Network Architectures for the Classification of Lung and Colon Cancer
AK Titoriya, M Prasad Singh - International Conference on Machine …, 2022 - Springer
Cancer is the most common disease, which leads to death worldwide. Colon, prostate,
breast, bladder, and lung are the common types of cancer among men and women. This …
breast, bladder, and lung are the common types of cancer among men and women. This …
Intelligent Video Detection Algorithm for Partial Discharge in Electrical Equipment
N He, X Zhou, W Sha, B Chen, L Yue - The International Conference on …, 2022 - Springer
For effective detection of electrical equipment for partial discharge phenomenon, this article,
taking the research of intelligent video detection algorithm, this paper discusses mainly the …
taking the research of intelligent video detection algorithm, this paper discusses mainly the …
[PDF][PDF] Content Based Email Spam Classifier as a Web Application Using Naıve Bayes Classifier
KI Sarek - academia.edu
Spam has emerged as a significant issue that is endangering the reliability of existing email
networks. The email has become an AQ1 essential means of sharing information worldwide …
networks. The email has become an AQ1 essential means of sharing information worldwide …