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fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf

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Marx Gómez / Godfrey Nyambo / Elikana Sam

Artificial Intelligence Tools and Applications in Embedded and Mobile Systems

Selected Papers from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), 24-25 November 2022, Arusha, Tanzania

Medium: Buch
ISBN: 978-3-031-56575-5
Verlag: Springer Nature Switzerland
Erscheinungstermin: 30.06.2024
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The emergence of Artificial Intelligence (AI) has had a tremendous impact on embedded and mobile systems. This book presents a diverse collection of papers that showcase cutting-edge research and practical applications of AI in this field. The peer-reviewed research articles stem from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24 – 25, 2022, in Arusha, Tanzania, East Africa. They demonstrate the breadth and depth of AI’s impact across various domains, exploring topics such as healthcare advances, transportation optimization, sustainable solutions, and business and process optimization.

Produkteigenschaften

  • Artikelnummer: 9783031565755
  • Medium: Buch
  • ISBN: 978-3-031-56575-5
  • Verlag: Springer Nature Switzerland
  • Erscheinungstermin: 30.06.2024
  • Sprache(n): Englisch
  • Auflage: 2024
  • Serie: Progress in IS
  • Produktform: Gebunden
  • Gewicht: 600 g
  • Seiten: 271
  • Format (B x H x T): 160 x 241 x 22 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model.- Evidence Based Practices On Co-Operative Societies Information Record Management.- Influence of Microservice Design Patterns for Data Science Workflows.- A systematic literature review toward standardization of business rules discovery in the context of Process Mining.- Contextual Multi-view Graph Community Detection using Graph Neural Networks.- Feature Selection Approach To Improve Malaria Diagnosis Model's Performance For High And Low Endemic Areas Of Tanzania.- 2-Stage Hybrid Ensemble Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance.- Convolutional Neural Network deep learning model for early detection of streak virus and lethal necrosis in maize: A case of Northern-highlands, Tanzania.- Object Detection Model for Poultry Diseases Diagnostics.- Machine Learning Model for Predicting Construction Project Success in Tanzania.- Improved MedicalImaging Transfer learning through the conflation of domain features.- Determining Emotion Intensities From Audio Data Using A Convolutional Neural Network.- Machine Learning Based Forward Collision Avoidance System: A Case study for the Kayoola EVS.- Visualizing Outlier Explanations for Mixed-type Data.- A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda.- Extraction of Numerical Facts from German Texts to enrich Internal Audit Data.- From Process Mining to Enterprise Mining.- CNN With Attention Guided Concatenation For Improved Image Restoration.- A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost.- Mask R-CNN model for banana diseases segmentation.- The artificial neural network-based smart number plate for vehicles with real-time traffic signs recognition and notification.- Intermodal matching algorithm including public transportation and ride-hailing.- A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centres