Big data analytics : 9th International Conference, BDA 2021, Virtual event, December 15-18, 2021, Proceedings / Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy (eds.).

By:

(9th : BDA (Conference) (9th : 2021 : Online)

Contributor(s):

Material type: Text

TextLanguage: English Series: Lecture notes in computer science ; 13147. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publication details: Cham, Switzerland : Springer, 2021.Description: 1 online resource (xiii, 355 pages) : illustrations (some color)ISBN:

9783030936204
3030936201

Other title:

BDA 2021

Subject(s):

DDC classification:

006.312 23 SRI

Online resources:

Contents:

Intro Preface Organization Contents Medical and Health Applications MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification 1 Introduction 2 Literature Review 3 Proposed Work 3.1 Encoder 3.2 Decoder 3.3 Classification 4 Experiment and Results 4.1 Dataset Setup 4.2 Training and Testing 4.3 Results 5 Conclusion References Smartphone Mammography for Breast Cancer Screening 1 Introduction 2 Related Work 3 System Description 4 Simulation 5 Results 6 Conclusion and the Future Work 4 The Solution to Contain Antibiotic Resistance 4.1 Diseasomics Knowledge Graph 4.2 Categorical Belief Knowledge Graph 4.3 Vector Embedding Through Node2Vec 4.4 Probabilistic Belief Knowledge Graph 4.5 De-escalation (Site-Specific and Patient-Specific Resistance) 4.6 The Right Automated Documentation 5 Conclusion References Tooth Detection from Panoramic Radiographs Using Deep Learning 1 Introduction 2 Related Works 3 Methodology 3.1 Data Collection 3.2 Data Annotation 3.3 Data Preprocessing 3.4 Object Detection Model 3.5 Performance Analysis 4 Experimental Results 4.1 Localization Loss 4.2 Total Loss 4.3 Learning Rate 4.4 Steps Per Epoch 5 Comparative Study 5.1 Comparison with Clinical Experts 5.2 Comparison with Other Works 6 Conclusion References Machine/Deep Learning Hate Speech Detection Using Static BERT Embeddings 1 Introduction 1.1 BERT 1.2 Attention in Neural Networks 2 Related Work 3 Proposed Methodology 3.1 Static BERT Embedding Matrix 4 Experiments 4.1 Choice of Dataset 4.2 Neural Network Architectures and Testing Environment 5 Results and Discussion 6 Conclusion References Fog Enabled Distributed Training Architecture for Federated Learning 1 Introduction 2 Related Work 3 Decentralized Federated Learning 3.1 Architecture 3.2 Online Training and Data Privacy 4 Evaluation and Results 4.1 Docker Based Fog Federation Framework 4.2 FMCW Radar Dataset for Federated Learning 4.3 Results and Analysis 5 Conclusions and Future Work References Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions 1 Introduction 1.1 Data Collection and Pre-processing

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	006.312 SRI (Browse shelf(Opens below))	Available		49572

Includes author index.

Intro
Preface
Organization
Contents
Medical and Health Applications
MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Encoder
3.2 Decoder
3.3 Classification
4 Experiment and Results
4.1 Dataset Setup
4.2 Training and Testing
4.3 Results
5 Conclusion
References
Smartphone Mammography for Breast Cancer Screening
1 Introduction
2 Related Work
3 System Description
4 Simulation
5 Results
6 Conclusion and the Future Work 4 The Solution to Contain Antibiotic Resistance
4.1 Diseasomics Knowledge Graph
4.2 Categorical Belief Knowledge Graph
4.3 Vector Embedding Through Node2Vec
4.4 Probabilistic Belief Knowledge Graph
4.5 De-escalation (Site-Specific and Patient-Specific Resistance)
4.6 The Right Automated Documentation
5 Conclusion
References
Tooth Detection from Panoramic Radiographs Using Deep Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Data Collection
3.2 Data Annotation
3.3 Data Preprocessing
3.4 Object Detection Model
3.5 Performance Analysis 4 Experimental Results
4.1 Localization Loss
4.2 Total Loss
4.3 Learning Rate
4.4 Steps Per Epoch
5 Comparative Study
5.1 Comparison with Clinical Experts
5.2 Comparison with Other Works
6 Conclusion
References
Machine/Deep Learning
Hate Speech Detection Using Static BERT Embeddings
1 Introduction
1.1 BERT
1.2 Attention in Neural Networks
2 Related Work
3 Proposed Methodology
3.1 Static BERT Embedding Matrix
4 Experiments
4.1 Choice of Dataset
4.2 Neural Network Architectures and Testing Environment
5 Results and Discussion 6 Conclusion
References
Fog Enabled Distributed Training Architecture for Federated Learning
1 Introduction
2 Related Work
3 Decentralized Federated Learning
3.1 Architecture
3.2 Online Training and Data Privacy
4 Evaluation and Results
4.1 Docker Based Fog Federation Framework
4.2 FMCW Radar Dataset for Federated Learning
4.3 Results and Analysis
5 Conclusions and Future Work
References
Modular ST-MRF Environment for Moving Target Detection and Tracking Under Adverse Local Conditions
1 Introduction
1.1 Data Collection and Pre-processing

There are no comments on this title.

to post a comment.