Advances in Computing and Data Sciences

1. Front Matter

   Pages i-xx

   PDF

2. Data Sciences

   1. Front Matter

      Pages 1-1

      PDF

   2. Comparative Analysis of Cognitive Neurodynamics on AMIGOS Dataset Versus Prepared Dataset

      • Rubleen Kaur, Rupali Gill, Jaiteg Singh

      Pages 3-12

   3. Business Forecasting in the Light of Statistical Approaches and Machine Learning Classifiers

      • Prasun Chakrabarti, Biswajit Satpathy, Siddhant Bane, Tulika Chakrabarti, Narendra S. Chaudhuri, Pierluigi Siano

      Pages 13-21

   4. Real Time Prediction of American Sign Language Using Convolutional Neural Networks

      • Shobhit Sinha, Siddhartha Singh, Sumanu Rawat, Aman Chopra

      Pages 22-31

   5. Hybridization of Fuzzy Min-Max Neural Networks with kNN for Enhanced Pattern Classification

      • Anil Kumar, P. S. V. S. Sai Prasad

      Pages 32-44

   6. Individualized Patient-Centered Type 2 Diabetes Recommender System

      • Nishat Afreen, Shrey Singh, Sanjay Kumar

      Pages 45-54

   7. CAD Data Computing for Component Type Realization and Assembly Sequence Generation

      • Umeshchandra Mane, Venkatesh Jonnalagedda, Balaji Dabade

      Pages 55-63

   8. Methods to Distinguish Photorealistic Computer Generated Images from Photographic Images: A Review

      • Kunj Bihari Meena, Vipin Tyagi

      Pages 64-82

   9. A Novel Approach for Automatic Diagnosis of Skin Carcinoma from Dermoscopic Images Using Parallel Deep Residual Networks

      • Rahul Sarkar, Chandra Churh Chatterjee, Animesh Hazra

      Pages 83-94

   10. Identification of Various Neurological Disorders Using EEG Signals

       • Aarti Sharma, J. K. Rai, R. P. Tewari

       Pages 95-103

   11. Neural Networks Based Cancer Classification Model Using CT-PET Fused Images

       • S. Srimathi, G. Yamuna, R. Nanmaran

       Pages 104-116

   12. A Deep Learning Approach to Speech Recognition of Digits

       • Gagan Gopinath, Joel Kiran Kumar, Nirmit Shetty, S. S. Shylaja

       Pages 117-126

   13. An Architecture for Analysis of Mobile Botnet Detection Using Machine Learning

       • Ashok Patade, Narendra Shekokar

       Pages 127-139

   14. Thyroid Prediction Using Machine Learning Techniques

       • Sagar Raisinghani, Rahul Shamdasani, Mahima Motwani, Amit Bahreja, Priya Raghavan Nair Lalitha

       Pages 140-150

   15. An Iterative Scheme for a Class of Fractional Order Perturbed Differential Equations

       • Rupsha Roy, Kotapally Harish Kumar

       Pages 151-163

   16. A Novel Algorithm to Compute Stable Groups in Signed Social Networks

       • Lakshmi Satya Vani Narayanam, Satish V. Motammanavar

       Pages 164-176

   17. Deep Convolution Neural Network Based Denoiser for Mammographic Images

       • Gurprem Singh, Ajay Mittal, Naveen Aggarwal

       Pages 177-187

   18. Detection of Brain Tumor Using Machine Learning Approach

       • Chadha Megha, Jain Sushma

       Pages 188-196

   19. Fuzzy Petri Net Representation of Fuzzy Production Propositions of a Rule Based System

       • Sakshi Gupta, Sunita Kumawat, Gajendra Pratap Singh

       Pages 197-210

This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019.

The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.

• artificial intelligence
• authentication
• cloud computing
• clustering algorithms
• computer crime
• data security
• image processing
• image segmentation
• internet
• Internet of Things (IoT)
• learning algorithms
• machine learning
• neural networks
• social networking
• Support Vector Machines (SVM)
• wavelet transforms

• University of KwaZulu-Natal, Durban, South Africa

  Mayank Singh

• Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, India

  P.K. Gupta

• Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, India

  Vipin Tyagi

• ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Czech Republic

  Jan Flusser

• School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

  Tuncer Ören

• CSE Department, Inderprastha Engineering College, Ghaziabad, India

  Rekha Kashyap

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