Table of Contents
|
Computational Intelligence in Data Science
Lekshmi Kalinathan, Priyadharsini R., Madheswari Kanmani, Manisha S. |
Front Matter |
Comparative Analysis of Sensor-Based Human Activity Recognition Using Artificial Intelligence
Alagappan Swaminathan |
1-17 |
A Survey on Cervical Cancer Detection and Classification Using Deep Learning
K. Hemalatha, V. Vetriselvi |
18-29 |
Counting Number of People and Social Distance Detection Using Deep Learning
P. Kalaivaani, M. Abitha Lakshmi, V. Bhuvana Preetha, R. Darshana, M. K. Dharani |
30-43 |
Analysis of Age Sage Classification for Students’ Social Engagement Using REPTree and Random Forest
Jigna B. Prajapati |
44-54 |
Factual Data Protection Procedure on IoT-Based Customized Medicament Innovations
N. Srinivasan, S. Anantha Sivaprakasam |
55-70 |
Deep Learning Based Covid-19 Patients Detection
C. Paramasivam, R. Priyadarsini |
71-82 |
A Progressive Approach of Designing and Analysis of Solar and Wind Stations Integrated with the Grid Connected Systems
N. Balavenkata Muni, S. Sasikumar, K. Hussain, K. Meenendranath Reddy |
83-96 |
A Survey on Techniques and Methods of Recommender System
Aanal Raval, Komal Borisagar |
97-114 |
Live Social Spacing Tracker Based on Domain Detection
Divyank Agarwal, Monark Mehta, Nirmala Paramanandham |
115-123 |
Assessing Layer Normalization with BraTS MRI Data in a Convolution Neural Net
Akhilesh Rawat, Rajeev Kumar |
124-135 |
Data Set Creation and Empirical Analysis for Detecting Signs of Depression from Social Media Postings
S. Kayalvizhi, Thenmozhi Durairaj |
136-151 |
Classification and Prediction of Lung Cancer with Histopathological Images Using VGG-19 Architecture
N. Saranya, N. Kanthimathi, S. Boomika, S. Bavatharani, R. Karthick Raja |
152-161 |
Analysis of the Impact of White Box Adversarial Attacks in ResNet While Classifying Retinal Fundus Images
D. P. Bharath Kumar, Nanda Kumar, Snofy D. Dunston, V. Rajam |
162-175 |
Factors Influencing the Helpfulness of Online Consumer Reviews
Sudarsan Jayasingh, Thiruvenkadam Thiagarajan |
176-183 |
Perspective Review on Deep Learning Models to Medical Image Segmentation
H. Heartlin Maria, A. Maria Jossy, S. Malarvizhi |
184-206 |
Real Time Captioning and Notes Making of Online Classes
A. Vasantha Raman, V. Sanjay Thiruvengadam, J. Santhosh, Thenmozhi Durairaj |
207-220 |
Disease Identification in Tomato Leaf Using Pre-trained ResNet and Deformable Inception
Arnav Ahuja, Aditya Tulsyan, J. Jennifer Ranjani |
221-234 |
Allowance of Driving Based on Drowsiness Detection Using Audio and Video Processing
S. Sathesh, S. Maheswaran, P. Mohanavenkatesan, M. Mohammed Azarudeen, K. Sowmitha, S. Subash |
235-250 |
Identification and Classification of Groundnut Leaf Disease Using Convolutional Neural Network
S. Maheswaran, N. Indhumathi, S. Dhanalakshmi, S. Nandita, I. Mohammed Shafiq, P. Rithka |
251-270 |
Enhanced Residual Connections Method for Low Resolution Images in Rice Plant Disease Classification
K. Sathya, M. Rajalakshmi |
271-284 |
COVI-PROC
K. Jayashree, K. R. Akilesh, D. Aristotle, S. Ashok Balaji |
285-289 |
GPS Tracking Traffic Management System Using Priority Based Algorithm
S. Manjula, M. Suganthy, P. Anandan |
290-300 |
Accident Detection System Using Deep Learning
J. Amala Ruby Florence, G. Kirubasri |
301-310 |
Monitoring of PV Modules and Hotspot Detection Using Convolution Neural Network Based Approach
B. Sandeep, D. Saiteja Reddy, R. Aswin, R. Mahalakshmi |
311-323 |
Literature Review on Human Behavioural Analysis Using Deep Learning Algorithm
R. Poorni, P. Madhavan |
324-331 |
An Improved Ensemble Extreme Learning Machine Classifier for Detecting Diabetic Retinopathy in Fundus Images
R. Kalaiselvi, V. Desika Vinayaki |
332-344 |
Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis
S. Suhasini, Vallidevi Krishnamurthy |
345-355 |
Supervised Learning of Procedures from Tutorial Videos
S. Arunima, Amlan Sengupta, Aparna Krishnan, D. Venkata Vara Prasad, Lokeswari Y. Venkataramana |
356-366 |
