11 Result(s)
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Chapter and Conference Paper
FNAB-Based Prediction of Breast Cancer Category Using Evolutionary Programming Neural Ensemble
The process of diagnosis and survival rate along with endurance period is greatly decided by the type of cancer and the current existing stage of cancer disease. The information that is accurate could provide ...
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Chapter and Conference Paper
An Efficient Framework to Bifurcate Healthy and Diseased Vegeatables and Fruits Using Multimodal Approach
The importance of agriculture is known to mankind at the start of early human civilization, whereby farming and use of domestic animals created food supplies to people which helped cities to develop. Due to im...
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Chapter and Conference Paper
Polarity Classification of Sarcastic Sentence Patterns Based on N-Gram Technique for Twitter Dataset
At present, Micro-blogging has enhanced an integral part of modern life, allowing individuals and organizations to communicate their thoughts and opinions in a variety of ways. Due to the rise of social media ...
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Chapter and Conference Paper
Analysis and Prediction of Breast Cancer using Multi-model Classification Approach
Nowadays, cancer is the most recurrent illness among living kind. Breast cancer among women between the age group of 30–50 has increased significantly. Early diagnosis can improve the chance of endurance and g...
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Chapter and Conference Paper
Review on Sentiment Analysis and Polarity Classification of Sarcastic Sentences using Deep Learning in Social Media
With the high proliferation of social media into people’s daily life and existence, more and more users of such social media platforms are using these to express their opinions. This has given rise to the need...
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Chapter and Conference Paper
Sarcastic Sentiment Detection and Polarity Classification of Tweets Using Supervised Learning
Nowadays, due to the rapid growth in web technologies and internet usage, there is an enormous amount of data available in WWW and also growing progressively. The data includes online learning, exchanging idea...
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Chapter and Conference Paper
CNN-LSTM-Based Deep Learning Model for Early Detection of Breast Cancer
Breast cancer has been considered as one of the diseases that puts the existence of women at risk worldwide. Diagnosing breast cancer in advance time is very important as it improves the treatment options and ...
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Chapter and Conference Paper
Music Therapy for Transforming Human Negative Emotions: Deep Learning Approach
The paper presents the music therapy approach on controlling and transforming the human emotions. The proposed approach considers six basic emotions such as happy, sad, angry, fear, depression, and surprise along...
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Chapter and Conference Paper
BRCA1 Genomic Sequence-Based Early Stage Breast Cancer Detection
Breast cancer is one of the most common types of cancer found in more than half of women worldwide, and the main cause of breast cancer is due to changes in the genomic sequence of breast tissue caused mainly ...
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Chapter and Conference Paper
Human Emotion Recognition Based on EEG Signal Using Deep Learning Approach
Nowadays, emotion recognition and classification plays a vital role in the field of human–computer interaction (HCI). Emotions are being recognized through body behaviors such as facial expression, voice tone,...
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Chapter and Conference Paper
EEG Signal-Based Human Emotion Recognition Using Power Spectrum Density and Discrete Wavelet Transform
Emotion recognition has been a problem in the field of brain–computer interface. Numerous ways are available for recognizing human emotions and one such technique is through Electroencephalogram (EEG) signals....
