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ORCID9th BDA 2021: Virtual Event
- Satish Narayana Srirama
, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy:
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13147, Springer 2021, ISBN 978-3-030-93619-8
Medical and Health Applications
- Sachin Gupta, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification. 3-15 - Rohini Basu, Meghana Madarkal, Asoke K. Talukder:
Smartphone Mammography for Breast Cancer Screening. 16-30 - Asoke K. Talukder:
Bridging the Inferential Gaps in Healthcare. 31-43 - Asoke K. Talukder, Prantar Chakrabarti, Bhaskar Narayan Chaudhuri, Tavpritesh Sethi, Rakesh Lodha, Roland E. Haas:
2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis. 44-53 - Shweta Shirsat, Siby Abraham:
Tooth Detection from Panoramic Radiographs Using Deep Learning. 54-63
Machine/Deep Learning
- Gaurav Rajput, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Hate Speech Detection Using Static BERT Embeddings. 67-77 - Aditya Kumar, Satish Narayana Srirama:
Fog Enabled Distributed Training Architecture for Federated Learning. 78-92 - Kusuma Thimmaraju, K. Ashwini:
Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions. 93-105 - Mariam Barry, Albert Bifet, Raja Chiky, Jacob Montiel, Vinh-Thuy Tran:
Challenges of Machine Learning for Data Streams in the Banking Industry. 106-118 - Saurav Tewari, Pramod Pathak, Paul Stynes:
A Novel Aspect-Based Deep Learning Framework (ADLF) to Improve Customer Experience. 119-130
IoTs, Sensors, and Networks
- Akshet Patel, D. Shanmugapriya, Gautam Srivastava, Jerry Chun-Wei Lin:
Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things. 133-145 - D. Shanmugapriya, Akshet Patel, Gautam Srivastava, Jerry Chun-Wei Lin:
MQTT Protocol Use Cases in the Internet of Things. 146-162 - Chandresh Kumar Maurya, Seemandhar Jain, Vishal Thakre:
Large-Scale Contact Tracing, Hotspot Detection, and Safe Route Recommendation. 163-182 - João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro:
Current Trends in Learning from Data Streams. 183-193
Fundamentation
- Akshara Prabhakar, Shidharth Srinivasan, Gokul S. Krishnan, S. Sowmya Kamath:
Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data. 197-210 - Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar:
SCIMAT: Dataset of Problems in Science and Mathematics. 211-226 - Anusha Nalajala, Thirumalaisamy Ragunathan, Rathnamma Gopisetty, Vignesh Garrapally:
Rank-Based Prefetching and Multi-level Caching Algorithms to Improve the Efficiency of Read Operations in Distributed File Systems. 227-243 - Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Dirk Draheim:
Impact-Driven Discretization of Numerical Factors: Case of Two- and Three-Partitioning. 244-260 - P. Nagabhushan, Sanjay Kumar Sonbhadra, Narinder Singh Punn, Sonali Agarwal:
Towards Machine Learning to Machine Wisdom: A Potential Quest. 261-275
Pattern Mining and data Analytics
- B. S. Sanjeev, Dheeraj Chitara:
Big Data over Cloud: Enabling Drug Design Under Cellular Environment. 279-295 - Alok Negi, Krishan Kumar, Narendra S. Chaudhari, Navjot Singh, Prachi Chauhan:
Predictive Analytics for Recognizing Human Activities Using Residual Network and Fine-Tuning. 296-310 - Pawan Kumar:
DXML: Distributed Extreme Multilabel Classification. 311-321 - Preetham Sathineni, A. Srinivas Reddy, P. Krishna Reddy, Anirban Mondal:
An Efficient Distributed Coverage Pattern Mining Algorithm. 322-340 - Anil Kumar Vuppala, Prakash Yalla, Mirishkar Sai Ganesh, Vishnu Vidyadhara Raju Vegesna:
Outcomes of Speech to Speech Translation for Broadcast Speeches and Crowd Source Based Speech Data Collection Pilot Projects. 341-354
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