DS&BD
Data Science & Big Data Lab
Publikationen (281) Publikationen, an denen Forscher/innen teilgenommen haben
2024
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Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models
Heliyon, Vol. 10, Núm. 4
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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
Heliyon, Vol. 10, Núm. 3
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Emerging trends in big data analytics and natural disasters
Computers and Geosciences
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Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach
Computer Communications, Vol. 217, pp. 230-245
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Feature selection: a perspective on inter-attribute cooperation
International Journal of Data Science and Analytics, Vol. 17, Núm. 2, pp. 139-151
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Medium-term water consumption forecasting based on deep neural networks
Expert Systems with Applications, Vol. 247
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Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption
Future Generation Computer Systems, Vol. 154, pp. 397-412
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Water consumption time series forecasting in urban centers using deep neural networks
Applied Water Science, Vol. 14, Núm. 2
2023
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A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
Energies, Vol. 16, Núm. 5
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A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia
Lecture Notes in Networks and Systems
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A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
Proceedings of the ACM Symposium on Applied Computing
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A new Apache Spark-based framework for big data streaming forecasting in IoT networks
Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100
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A new approach based on association rules to add explainability to time series forecasting models
Information Fusion, Vol. 94, pp. 169-180
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A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Journal of Big Data, Vol. 10, Núm. 1
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A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules
Signal Transduction and Targeted Therapy
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A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Information Fusion, Vol. 95, pp. 163-173
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A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area
International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679
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A systematic review of the application of machine-learning algorithms in multiple sclerosis
Neurologia, Vol. 38, Núm. 8, pp. 577-590