13 Result(s)
within
K. Meena
Artificial Intelligence
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Article
Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease
It is found that, chronic kidney disease (CKD) is prevalence worldwide. Quality of life (QoL) in terms of health became an essential measure for patients with CKD. This paper uses the real-time dataset of CKD ...
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Article
Performance evaluation of deep learning techniques for lung cancer prediction
Due to the increase in pollution, the number of deaths caused by lung disease is rising rapidly. It is essential to predict the disease in earlier stages by means of high-level knowledge and acquaintance. Deep...
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Article
Smart cataract detection system with bidirectional LSTM
Traditional IT with advent of convolution neural networks and deep learning can lead a trendsetter for healthcare sector, diseases identification and prediction. An essential upsurge during pandemic is virtual...
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Article
Analysis of MRI brain tumor images using deep learning techniques
A popular deep learning-based object detection technique is the 'You Only Look Once' v3 (YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was trained using a set of 3064 pre-proce...
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Article
Deep learning techniques for prediction of pneumonia from lung CT images
Pneumonia disease is caused by viruses and bacteria which affect one or both lungs. It is the most dangerous disease that causes huge cancer death worldwide. Early detection of Pneumonia is the only way to imp...
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Chapter and Conference Paper
Quality Rating Application for Victual Recipes Using Facial Analysis
In real world applications, people can find number of recipes online. Here using facial analysis method, food recipes rating application is developed. Some recipes might be authentic and few recipes might not ...
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Chapter and Conference Paper
Smart Applicatıon for Voice Over Control on Electronic Devices Usıng NodeMCU
In recent years, automated device control has been a key demand in develo** the future electronic devices. The electronic devices are made smart and autonomous by incorporating sensors and other related mate...
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Article
Deep neural network with reduced feature for classification of breast cancer mammogram
Breast disease is the prevalent malignant growth in female all over the world and it is expanding in non-industrial nations, where most cases are analysed late. Mammography remains the best symptomatic advance...
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Article
A novel method for prediction of skin disease through supervised classification techniques
Skin diseases are the most important worrying problems in societies because it affects the patients both physically and psychologically. Skin disease is one of the highly prone to risk with an association of c...
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Chapter and Conference Paper
Parkinson’s Disease Prediction Through Machine Learning Techniques
Parkinson’s disease is a progressive Neurodegenerative disorder that affects the quality of life. As per World Health Organization (WHO) survey, 95% affected people with Parkinson’s disease have speech disorde...
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Chapter and Conference Paper
Investigation and Analysis of Path Evaluation for Sustainable Communication Using VANET
Today, the taskforce is getting increasing and the streets are getting more hazardous by the impact of blockage and increment of crashes. Intelligent transportation systems (ITS) are utilized to incorporate da...
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Article
Performance evaluation of cybercriminal detection through cluster computing techniques
The cybercrime has evolved as the years ago and the criminals use different techniques to capture the victims. Researchers have devised various techniques to detect the cybercriminal. Hence, a new technology h...
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Article
Classification of speech signal based on gender: a hybrid approach using neuro-fuzzy systems
One of the most important processes in speech processing is gender classification. Generally gender classification is done by considering pitch as feature. In general the pitch value of female is higher than t...
