Sökning: "real-world data"

Visar resultat 11 - 15 av 568 avhandlingar innehållade orden real-world data.

1. 11. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

   Författare :Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. LÄS MER

3. 12. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques

   Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Shehroz Khan; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Domain Adaptation; Evolving Clustering; Heterogeneous Data; Multi-View Clustering; Streaming Data; Computer Science; Datavetenskap;

   Sammanfattning : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. LÄS MER

4. 13. Data-driven decision support in digital retailing

   Författare :Dirar Sweidan; Ulf Johansson; Beatrice Alenljung; Anders Gidenstam; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Digital Retailing; Decision Support; Probabilistic Prediction; Calibration; Product Returns; Customer Churn; Binary Classification; Scikit-Learn;

   Sammanfattning : In the digital era and advent of artificial intelligence, digital retailing has emerged as a notable shift in commerce. It empowers e-tailers with data-driven insights and predictive models to navigate a variety of challenges, driving informed decision-making and strategic formulation. LÄS MER

5. 14. Studies in Semantic Modeling of Real-World Objects using Perceptual Anchoring

   Författare :Andreas Persson; Amy Loutfi; Alessandro Saffiotti; Severin Lemaignan; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Perceptual Anchoring; Semantic World Modeling; Sensor-Driven Acquisition of Data; Object Recognition; Object Classification; Symbol Grounding; Probabilistic Object Tracking;

   Sammanfattning : Autonomous agents, situated in real-world scenarios, need to maintain consonance between the perceived world (through sensory capabilities) and their internal representation of the world in the form of symbolic knowledge. An approach for modeling such representations of objects is through the concept of perceptual anchoring, which, by definition, handles the problem of creating and maintaining, in time and space, the correspondence between symbols and sensor data that refer to the same physical object in the external world. LÄS MER

7. 15. Towards Real-World Federated Learning: Empirical Studies in the Domain of Embedded Systems

   Författare :Hongyi Zhang; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Software engineering; Federated Learning;

   Sammanfattning : Context: Artificial intelligence (AI) has led a new phase of technical revolution and industrial development around the world since the twenty-first century, revolutionizing the way of production. Artificial intelligence (AI), an emerging information technology, is thriving, and AI application technologies are gaining traction, particularly in professional services such as healthcare, education, finance, security, etc. LÄS MER