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Format : Literature Reviews

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Academic Journal

Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.

Authors : Alonso-Díaz, Alex¹ (AUTHOR) ; Fontes, Miguel^2,3 (AUTHOR); Teixeira, Ana Cláudia^2,3 (AUTHOR)

Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1356. 44p.

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Academic Journal

Beyond Accuracy: Transferability Limits, Validation Inflation, and Uncertainty Gaps in Satellite-Based Water Quality Monitoring—A Systematic Quantitative Synthesis and Operational Framework.

Authors : Pourmorad, Saeid¹ (AUTHOR) ; Graw, Valerie² (AUTHOR); Rienow, Andreas^1,2 (AUTHOR)

Source: Remote Sensing. Apr2026, Vol. 18 Issue 7, p1098. 65p.

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Academic Journal

From Spectral Indices to Artificial Intelligence: A Review of Remote Sensing Methodologies for Glacier Mapping.

Authors : Elzein, Ahmed^1,2 (AUTHOR); Nabizada, Mohammad Jawed^2,3 (AUTHOR); Nabizada, Ahmad Farid^3,4 (AUTHOR)

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1496. 47p.

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Academic Journal

Fiber-Optic Sensor-Based Structural Health Monitoring with Machine Learning: A Task-Oriented and Cross-Domain Review.

Authors : Mahmood, Yasir¹ (AUTHOR); Yasir, Nof² (AUTHOR); Quenette, Kathryn¹ (AUTHOR)

Source: Sensors (14248220). May2026, Vol. 26 Issue 9, p2641. 41p.

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Academic Journal

A Scoping Review of Automated Calving Front Detection in Satellite Images and Calving Front Position Datasets.

Authors : Milczarek, Wojciech¹ (AUTHOR); Sompolski, Marek¹ (AUTHOR) ; Tympalski, Michał¹ (AUTHOR)

Source: Remote Sensing. Apr2026, Vol. 18 Issue 7, p969. 38p.

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Academic Journal

Nutrient and Dissolved Oxygen (DO) Estimation Using Remote Sensing Techniques: A Literature Review.

Authors : Dimoudi, Androniki¹ (AUTHOR) ; Domenikiotis, Christos^1,2 (AUTHOR); Vafidis, Dimitris¹ (AUTHOR)

Source: Remote Sensing. Dec2025, Vol. 17 Issue 24, p4044. 40p.

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Academic Journal

A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology.

Authors : Gu, Xiang¹ (AUTHOR); Li, Chao² (AUTHOR); Gao, Long^2,3 (AUTHOR)

Source: Sensors (14248220). Dec2025, Vol. 25 Issue 23, p7360. 33p.

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Academic Journal

Advances and challenges in the integration of artificial intelligence in microbial biosurfactant bioprocess.

Authors : Kadam, Vaibhav¹ (AUTHOR); Kusal, Sheetal² (AUTHOR); Patil, Shruti² (AUTHOR)

Source: AMB Express. 11/27/2025, Vol. 15, p1-17. 17p.

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Academic Journal

Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques.

Authors : Destefanis, Tommaso^1,2 (AUTHOR); Guliyeva, Sona² (AUTHOR); Boccardo, Piero^2,3 (AUTHOR)

Source: Remote Sensing. Sep2025, Vol. 17 Issue 17, p2943. 26p.

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Academic Journal

Applications of machine learning methods in traffic crash severity modelling: current status and future directions.

Authors : Wen, Xiao¹ (AUTHOR); Xie, Yuanchang¹ (AUTHOR) ; Jiang, Liming¹ (AUTHOR)

Source: Transport Reviews. Nov 2021, Vol. 41 Issue 6, p855-879. 25p.

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نتائج البحث

فلترة النتائج

Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.

Beyond Accuracy: Transferability Limits, Validation Inflation, and Uncertainty Gaps in Satellite-Based Water Quality Monitoring—A Systematic Quantitative Synthesis and Operational Framework.

From Spectral Indices to Artificial Intelligence: A Review of Remote Sensing Methodologies for Glacier Mapping.

Fiber-Optic Sensor-Based Structural Health Monitoring with Machine Learning: A Task-Oriented and Cross-Domain Review.

A Scoping Review of Automated Calving Front Detection in Satellite Images and Calving Front Position Datasets.

Nutrient and Dissolved Oxygen (DO) Estimation Using Remote Sensing Techniques: A Literature Review.

A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology.

Advances and challenges in the integration of artificial intelligence in microbial biosurfactant bioprocess.

Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques.

Applications of machine learning methods in traffic crash severity modelling: current status and future directions.

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