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Modelling glacial retreat with machine learning techniques (Softcopy is also available)

By: Contributor(s): Material type: TextTextPublication details: 2023Description: xx,35pDDC classification:
  • MG TH-0257 SRI
Contents:
TABLE OF CONTENTS 1.2. Remote Sensing and Glaciers 2 1.3. Factors affecting Glaciers 3 1.4 GeoAI 4 2. LITERATURE REVIEW 5 3. WORK OUTLINE 9 3.1 Aim 9 3.2 Objectives 9 3.3 Study Region and Data used 9 3.4 Parameter Influence 11 3.5 Time Series Analysis 12 4. METHODOLOGY 15 4.1 Feedforward ANN 15 4.2 RNN 16 4.3 LSTM 17 5. RESULTS AND ANALYSIS 19 5.1 Model Evaluations 19 5.2 RNN Validation 21 6. GLACIAL BOUNDARY DELINEATION 23 5. CONCLUSIONS AND SOCIETAL USABILITY 27 REFERENCES 29
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Item type Current library Collection Call number Status Date due Barcode Item holds
Thesis CEPT Library Faculty of Technology MG TH-0257 SRI Not For Loan 025709
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TABLE OF CONTENTS
1.2. Remote Sensing and Glaciers 2
1.3. Factors affecting Glaciers 3
1.4 GeoAI 4
2. LITERATURE REVIEW 5
3. WORK OUTLINE 9
3.1 Aim 9
3.2 Objectives 9
3.3 Study Region and Data used 9
3.4 Parameter Influence 11
3.5 Time Series Analysis 12
4. METHODOLOGY 15
4.1 Feedforward ANN 15
4.2 RNN 16
4.3 LSTM 17
5. RESULTS AND ANALYSIS 19
5.1 Model Evaluations 19
5.2 RNN Validation 21
6. GLACIAL BOUNDARY DELINEATION 23
5. CONCLUSIONS AND SOCIETAL USABILITY 27
REFERENCES 29

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