-
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....
-
Article
Emotion estimation from nose feature using pyramid structure
The facial expression and human emotions are considered as important components for building various real-time applications such as human expression and emotion recognition systems. Various parts of the human ...
-
Article
Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis
Nowadays, an enormous amount of data is available on the WWW and exponentially growing as well. A lot of users use social networking websites such as Twitter, Facebook, Instagram, and Google+ as common platfor...
-
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 ...
-
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,...
-
Article
Breast Cancer Detection and Classification from Mammogram Images Using Multi-model Shape Features
Nowadays, breast cancer has become one of the common diseases and is leading in causes of deaths in women. Early detection of breast cancer is very much needed and critical, and mammography is considered as on...
-
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 ...
-
Chapter and Conference Paper
Music Therapy for Mood Transformation Based on Deep Learning Framework
Human interact with the outer world and express their emotions using facial expressions. The facial components such as eye–eyebrows, mouth, nose, forehead, cheeks play important role in expressing these emotio...
-
Chapter and Conference Paper
Early Detection of Diabetic Retinopathy Using Multimodal Approach
Diabetic retinopathy (DR) is a sense-based disorder particularly related to eye. The advanced stage leads to reducing of blood vessels in the eye. DR causes blurred vision in initial stage, and it may lead to ...
-
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...
-
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...
-
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...
-
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 ...
-
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...
-
Article
Geometrical features of lips using the properties of parabola for recognizing facial expression
Various real-time applications such as Human–Computer Interactions, Psychometric analysis, etc. use facial expressions as one of the important parameters. The researchers have used Action Units (AU) of the fac...
-
Article
Phrase-level sentence patterns for estimating positive and negative emotions using Neuro-fuzzy model for information retrieval applications
The paper proposes phrase-level emotion patterns using Neuro-Fuzzy model. At the initial stage, the emotional patterns at phrase level are obtained using POS Tags and EMOT Actifiers that results into 16 patter...
-
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 ...
-
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...
-
Article
Interval graph of facial regions with common intersection salient points for identifying and classifying facial expression
Measuring the facial expression is an important research and used in many real-time applications. Various methods are proposed in the academia and industry for a decade and still continue to have research pote...
-
Chapter
Smooth Weighted Colour Histogram Using Human Visual Perception for Content-Based Image Retrieval Applications
In this chapter, a histogram is constructed based on human colour visual perception for content-based image retrieval. For each pixel, the true colour and grey colour proportion are calculated using a suitable...
