Guardado en:
| Autor principal: | Ahmed, Shaheen Mohammed Saleh |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | |
| Publicado: |
Zenodo
2026
|
| Materias: | |
| Acceso en línea: | https://doi.org/10.5281/zenodo.20237609 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Automated ESG Prediction through Artificial Intelligence: A Literature-Driven Empirical Synthesis and Framework for Future Research
por: Aditya Prakash, et al.
Publicado: (2025)
por: Aditya Prakash, et al.
Publicado: (2025)
Weather and Climate Extremes
Publicado: (2016)
Publicado: (2016)
Figure 9 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026)
por: Kroon, Enriko, et al.
Publicado: (2026)
Figure 15 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026)
por: Kroon, Enriko, et al.
Publicado: (2026)
Figure 8 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026)
por: Kroon, Enriko, et al.
Publicado: (2026)
Machine learning-based identification of key biotic and abiotic drivers of mineral weathering rate in a complex enhanced weathering experiment
por: Janssens, Iris, et al.
Publicado: (2025)
por: Janssens, Iris, et al.
Publicado: (2025)
EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR PERSONALIZED RECOMMENDER SYSTEMS USING DEEP LEARNING MODEL
por: Dr. Deepjyoti Roy, Prof. Dr. Rohini Pundalik Onkare, Muthumari, Amit S. Tiwari, Shah Rakesh Jagdishchandra, Amartya Ghosh, Dr. Nagendra Nath Giri
Publicado: (2026)
por: Dr. Deepjyoti Roy, Prof. Dr. Rohini Pundalik Onkare, Muthumari, Amit S. Tiwari, Shah Rakesh Jagdishchandra, Amartya Ghosh, Dr. Nagendra Nath Giri
Publicado: (2026)
A Real-Time Framework for Disaster Management With IoT and Machine Learning Techniques
por: K.Likith, Babu
Publicado: (2025)
por: K.Likith, Babu
Publicado: (2025)
Towards the “Perfect” Weather Warning
Publicado: (2022)
Publicado: (2022)
Paroxysm-induced early warning signals at Stromboli volcano, Italy
por: Romano, Pierdomenico, et al.
Publicado: (2020)
por: Romano, Pierdomenico, et al.
Publicado: (2020)
Explainable Artificial Intelligence as an Ethical Principle
por: Mario González-Arencibia
Publicado: (2024)
por: Mario González-Arencibia
Publicado: (2024)
Improving Rural Early Warning Systems through the Integration of OpenBTS and JAIN SLEE
por: Julián Eduardo Plazas
Publicado: (2017)
por: Julián Eduardo Plazas
Publicado: (2017)
Explanations for Trustworthy AI in Critical Infrastructure: A Case from Wastewater Treatment in Norway
por: Følstad, Asbjørn, et al.
Publicado: (2025)
por: Følstad, Asbjørn, et al.
Publicado: (2025)
MONITORING OF THE MUDFLOW HAZARD IN ILE ALATAU
por: Torehan B., et al.
Publicado: (2025)
por: Torehan B., et al.
Publicado: (2025)
A Token-Based Model for Structural Analysis and Quantification of Personal Learning Weight Patterns (TELOWAQ)
por: Apophis
Publicado: (2026)
por: Apophis
Publicado: (2026)
Strainmeter measurement at Stromboli Sacks-Evertson borehole, 2019-03-15
por: Romano, Pierdomenico, et al.
Publicado: (2026)
por: Romano, Pierdomenico, et al.
Publicado: (2026)
Strainmeter measurement at Stromboli Sacks-Evertson borehole, 2019-07-03
por: Romano, Pierdomenico, et al.
Publicado: (2026)
por: Romano, Pierdomenico, et al.
Publicado: (2026)
Strainmeter measurement at Stromboli Sacks-Evertson borehole, 2019-08-28
por: Romano, Pierdomenico, et al.
Publicado: (2026)
por: Romano, Pierdomenico, et al.
Publicado: (2026)
An Early Warning System for currency crises in Argentina and Brazil 1990-2009
por: Tjeerd M. Boonman
Publicado: (2017)
por: Tjeerd M. Boonman
Publicado: (2017)
Adaptation of a leaf wetness duration model for tomato under Colombian greenhouse conditions
por: Rodrigo Gil
Publicado: (2015)
por: Rodrigo Gil
Publicado: (2015)
MANAGEMENT DECISION SUPPORT BY USING EARLY WARNING ENVIRONMENTS
por: Raimundas Žilinskas
Publicado: (2009)
por: Raimundas Žilinskas
Publicado: (2009)
A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization
por: Arash Moradzadeh, et al.
Publicado: (2023)
por: Arash Moradzadeh, et al.
Publicado: (2023)
Diabetes Prediction Modeling Using XGBoost Ensemble Learning with SHAP Explainability: A Machine Learning Approach on the Pima Indians Diabetes Dataset
por: Khan Gulrez Shagufa Fazal Ahmed
Publicado: (2026)
por: Khan Gulrez Shagufa Fazal Ahmed
Publicado: (2026)
Considerations for a Research Program on Drought in Mexico
por: Víctor Magaña
Publicado: (2016)
por: Víctor Magaña
Publicado: (2016)
Financial information and restructuring of spanish savings banks in a contex of crisis. Changes in the regulation; content and evolution of FROB
por: Salvador Marín Hernández
Publicado: (2011)
por: Salvador Marín Hernández
Publicado: (2011)
Pemanfaatan Teknologi GPS Android untuk Alarm kebencanaan oleh Warga secara Realtime berbasis Geolokasi Desa Winduaji-Paguyangan
por: Pratiwi, Umi, et al.
Publicado: (2025)
por: Pratiwi, Umi, et al.
Publicado: (2025)
Directional Early Warning: Detecting Structural Drift Before Critical Slowing Down
por: Aizawa, Hiroaki
Publicado: (2026)
por: Aizawa, Hiroaki
Publicado: (2026)
Data for: Artificial Intelligence in Decision Support Systems - A Systematic Review
por: Ashaqzai, Suliman
Publicado: (2026)
por: Ashaqzai, Suliman
Publicado: (2026)
Flood Risk Assessment in Humanitarian Logistics Process Design
por: C. Díaz-Delgado
Publicado: (2014)
por: C. Díaz-Delgado
Publicado: (2014)
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
por: Caraker, Drake, et al.
Publicado: (2026)
por: Caraker, Drake, et al.
Publicado: (2026)
Weather pattern definitions for India and their daily historical classifications (1979 to 2016)
por: Neal, Robert, et al.
Publicado: (2019)
por: Neal, Robert, et al.
Publicado: (2019)
A Structural Turbocharger for AI Development: Translation-Free High-Context Reasoning with a Native Zero-State via the MSHD–HSTG Framework
por: Matsuura, Yoshihito
Publicado: (2025)
por: Matsuura, Yoshihito
Publicado: (2025)
Financial distress in Brazilian banks: an early warning model*,**
por: Paulo Sérgio Rosa
Publicado: (2018)
por: Paulo Sérgio Rosa
Publicado: (2018)
From Answers to Integrity: Designing Financial AI That Refuses to Mislead
por: Minchev, Teodor
Publicado: (2026)
por: Minchev, Teodor
Publicado: (2026)
Multimodal Learning Reveals Plants' Hidden Sensory Integration Logic
por: VOMO DONFACK, Kelly Larissa, et al.
Publicado: (2025)
por: VOMO DONFACK, Kelly Larissa, et al.
Publicado: (2025)
REAL-AI-Benchmark: Real-World Reasoning and Physical-AI Benchmark Suite
por: Ivković, Jovan
Publicado: (2026)
por: Ivković, Jovan
Publicado: (2026)
A Rate Mismatch Criterion for Early Warning of Critical Transitions: Cross-Domain Validation, Boundary Conditions, and a Variance–Autocorrelation Coupling Framework for Criterion Applicability
por: Malone, Ryan
Publicado: (2026)
por: Malone, Ryan
Publicado: (2026)
Operationalizing Responsible AI In Financial Decision Pipelines: Governance, Security, Compliance, Fairness, And Explainability
por: Srujana Parepalli
Publicado: (2023)
por: Srujana Parepalli
Publicado: (2023)
Chapter Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data
por: Son, Seongwoo, et al.
Publicado: (2024)
por: Son, Seongwoo, et al.
Publicado: (2024)
Spatial and temporal hydro-climatic variability in Durango, Mexico
por: José Návar
Publicado: (2014)
por: José Návar
Publicado: (2014)
Ejemplares similares
-
Automated ESG Prediction through Artificial Intelligence: A Literature-Driven Empirical Synthesis and Framework for Future Research
por: Aditya Prakash, et al.
Publicado: (2025) -
Weather and Climate Extremes
Publicado: (2016) -
Figure 9 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026) -
Figure 15 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026) -
Figure 8 from: Kroon E, Borges R, de Jesus R, Kuhn S (2026) Interpreting 2D-NMR spectra using Grad-CAM. Research Ideas and Outcomes 12: e183261. https://doi.org/10.3897/rio.12.e183261
por: Kroon, Enriko, et al.
Publicado: (2026)