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ORCIDICDSE 2019: Patna, India
- International Conference on Data Science and Engineering, ICDSE 2019, Patna, India, September 26-28, 2019. IEEE 2019, ISBN 978-1-7281-2087-4
- Deepak Kumar Sinha, S. Rupali, Shailja Bawa:
Application of Adaptive Neuro- Fuzzy Inference System for the prediction of Early Age Strength of High Performance Concrete. 1-5 - M. S. Devadharshini, A. S. Heena Firdaus, R. Sree Ranjani, N. Devarajan:
Real Time Arrhythmia Monitoring with Machine Learning Classification and IoT. 1-4 - Mrityunjay Sarkar, Aurpan Majumder, Sanjay Dhar Roy:
A Nonlinear Multivariate Approach to Identify Differentially Coexpressed Pathways. 5-10 - Tushaar Gangavarapu
, C. D. Jaidhar:
An Empirical Study to Detect the Collision Rate in Similarity Hashing Algorithm Using MD5. 11-14 - Rikta Sen, Saptarsi Goswami, Basabi Chakraborty:
Jeffries-Matusita distance as a tool for feature selection. 15-20 - S. Saritha, G. Santhosh Kumar:
Change Analysis of Indian Metropolitan Cities through a Spatiotemporal Ontology. 21-25 - Nasir A. Shinkafi, Lawal Muhammad Bello, Dahiru Sani Shu'aibu, Ibrahim Saidu:
Q-value Learning Automata (QvLA)-RACH Access Scheme for Cellular M2M Communications. 26-29 - Ritika, Mukesh Kumar, Pretti Aggarwal:
A Graph based Keyword Extraction from Twitter using Node and Edge Weight. 35-39 - Anurag Shukla, Gazal Jain, Kavyansh Chaurasia, U. Venkanna:
Smart Fruit Warehouse and Control System Using IoT. 40-45 - R. Sakthi Murugan, V. S. Ananthanarayana:
NPRank: Nexus based Predicate Ranking of Linked Data. 46-50 - Kaumil Trivedi, Tanujit Chakraborty:
A Hybrid Binary Classifier for Pattern Classification. 51-54 - Radhika Sharma, Nishtha Goel, Nishita Aggarwal, Prajyot Kaur, Chandra Prakash:
Next Word Prediction in Hindi Using Deep Learning Techniques. 55-60 - R. Binu, P. Isaac:
Weighted Similarity Measure and Decision Making in Clinical Application of Neutrosophic Soft Set. 61-65 - Shikhar Shukla, Jiban Prakash, Ravi Sankar Guntur:
Replay attack detection with raw audio waves and deep learning framework. 66-70 - R. Anusha, C. D. Jaidhar:
Frontal Gait Recognition based on Hierarchical Centroid Shape Descriptor and Similarity Measurement. 71-76 - Piyush Mishra, Sourankana Dey, Suvro Shankar Ghosh, Dibyendu Bikash Seal, Saptarsi Goswami:
Human Activity Recognition using Deep Neural Network. 77-83 - Mihir Thakkar, Susan Elias, Ashwin Ashok:
Speech Recognition Learning Framework for Non-Native English Accent. 84-89 - Dakshata M. Panchal, Deepak J. Jayaswal:
Surface Remeshing using Quadric based Mesh Simplification and Minimal Angle Improvement. 90-95 - Vandana A. Patil, Deepak J. Jayaswal:
Capturing Contextual Influence in Context Aware Recommender Systems. 96-102 - Ankit Mahato, Ashita Prasad:
Analyzing Smart Meter Data using a Two-stage Competitive Learning Method. 103-106 - Sanket Salvi, V. Geetha:
From Light to Li-Fi: Research Challenges in Modulation, MIMO, Deployment Strategies and Handover. 107-119 - Jashanpreet Singh Sadioura, Satbir Singh, Amitava Das:
Selection of sub-optimal feature set of network data to implement Machine Learning models to develop an efficient NIDS. 120-125 - Salim Akhtar Sheikh, Vineeta Tiwari, Sunita Singhal:
Generative model chatbot for Human Resource using Deep Learning. 126-132 - Kasturi Dhal, Satyananda Champati Rai, Prasant Kumar Pattnaik, Somanath Tripathy:
KeySED: An Efficient Keyword based Search over Encrypted Data in Cloud Environment. 133-138 - Anumit Garg, Ashna Kapoor, Anterpreet Kaur Bedi, Ramesh Kumar Sunkaria:
Merged LSTM Model for emotion classification using EEG signals. 139-143 - Ch. Nanda Krishna, K. F. Bharati:
A Novel Chaotic based Privacy preserving machine learning model on large distributed client applications. 144-148 - Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph, Venkatanareshbabu Kuppili:
Prospect of Stein's Unbiased Risk Estimate as Objective Function for Parameter Optimization in Image Denoising Algorithms - A Case Study on Gaussian Smoothing Kernel. 149-153 - Chaman Wijesiriwardana, Mohamed F. M. Firdhous:
An Innovative Query Tuning Scheme for Large Databases. 154-159 - P. M. Siva Raja, K. Ramanan:
Damped Least-Squares Recurrent Deep Neural Learning Classification For Glaucoma Detection. 160-165
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