Artificial Intelligence Tools and Applications in Embedded and Mobile Systems
Editor
- Jorge Marx Gómez(University of Oldenburg)Anael Elikana Sam(The Nelson Mandela African Institution of Science and Technology)Devotha Godfrey Nyambo(The Nelson Mandela African Institution of Science and Technology)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), 2024. "Artificial Intelligence Tools and Applications in Embedded and Mobile Systems," Progress in IS, Springer, number 978-3-031-56576-2, June.
Handle: RePEc:spr:proiis:978-3-031-56576-2
DOI: 10.1007/978-3-031-56576-2
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Book Chapters
The following chapters of this book are listed in IDEAS- Godfrey N. Justo & Leonard P. Binamungu & Festo S. Clemence, 2024. "Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 1-8, Springer.
- George Sizya Germinous & Mussa Ally Dida, 2024. "Evidence-Based Practices on Co-operative Societies Information Record Management," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 9-21, Springer.
- Christoph Schröer & Raphael Holtmann & Jorge Marx Gómez & Hergen Pargmann, 2024. "Influence of Microservice Design Patterns for Data Science Workflows," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 23-32, Springer.
- Menna Wael & Gamal Kassem, 2024. "A Systematic Literature Review Toward Standardization of Business Rules Discovery in the Context of Process Mining," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 33-42, Springer.
- Chiheb Edine Zoghlemi & Abdelkerim Rezgui, 2024. "Contextual Multi-View Graph Community Detection Using Graph Neural Networks," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 43-52, Springer.
- Martina Mariki & Neema Mduma & Elizabeth Mkoba, 2024. "Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Endemic Areas of Tanzania," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 53-69, Springer.
- Augustine J. Malamsha & Mussa Ally Dida & Sabine Moebs, 2024. "2-Stage Hybrid Ensemble-Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 71-85, Springer.
- Flavia Stephen Mayo & Neema Mduma, 2024. "Convolutional Neural Network Deep Learning Model for Early Detection of Streak Virus and Lethal Necrosis in Maize: A Case of Northern-Highlands, Tanzania," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 87-93, Springer.
- Shabani Karim & Dina Machuve & Elizabeth Mkoba & Sanket Pandhare, 2024. "Object Detection Model for Poultry Diseases Diagnostics," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 95-103, Springer.
- Astin Ntulo & Elizabeth Mkoba & Dina Machuve & Sanket Mohan Pandhare, 2024. "Machine Learning Model for Predicting Construction Project Success in Tanzania," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 105-112, Springer.
- Raphael Wanjiku & Lawrence Nderu & Michael Kimwele, 2024. "Improved Medical Imaging Transfer Learning through the Conflation of Domain Features," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 113-124, Springer.
- Simon Kipyatich Kiptoo & Kennedy Ogada & Tobias Mwalili, 2024. "Determining Emotion Intensities from Audio Data Using a Convolutional Neural Network," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 125-138, Springer.
- Ali Ziryawulawo & Adonia Mbarebaki & Sam Anael, 2024. "Machine Learning-Based Forward Collision Avoidance System: A Case Study for the Kayoola EVS," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 139-153, Springer.
- Jakob Nonnenmacher & Jorge Marx Gómez, 2024. "Visualizing Outlier Explanations for Mixed-Type Data," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 155-163, Springer.
- Ceaser Wisdom Favor & Sinde Ramadhan & Michael Kisangiri & Levicatus Mugenyi & Francis Musinguzi & Martin Balaba & Noela Owarwo & Eva Laker & Ruth Obaikol & Agnes Kiraga & Barbara Castelnuovo & Rosali, 2024. "A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 165-181, Springer.
- Gerrit Schumann & Jorge Marx Gómez, 2024. "Extraction of Numerical Facts from German Texts to Enrich Internal Audit Data," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 183-193, Springer.
- Hans-Jürgen Scheruhn & Christian Reiter & Elnur Bayramli, 2024. "From Process Mining to Enterprise Mining," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 195-205, Springer.
- Gladys Mange & Ronald Waweru & Michael Kimwele & Jorge Marx Gómez, 2024. "CNN with Attention-Guided Concatenation for Improved Image Restoration," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 207-217, Springer.
- Mick Geisthardt & Lutz Engel, 2024. "A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 219-225, Springer.
- Christian A. Elinisa & Neema Mduma, 2024. "Mask R-CNN Model for Banana Diseases Segmentation," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 227-237, Springer.
- Alexandre Niyomugaba & Neema Mduma & Kisangiri Michael, 2024. "The Artificial Neural Network-Based Smart Number Plate for Vehicles with Real-Time Traffic Signs Recognition and Notification," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 239-249, Springer.
- Sven von Höveling & Cedrik Theesen & Anton Butenko & Venkatesh Sasapu, 2024. "Intermodal Matching Algorithm Including Public Transportation and Ride-Hailing," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 251-260, Springer.
- Wayne Steven Okello & Silas Mirau & Michael Kisangiri & Andrew Katumba & Edwin Mugume, 2024. "A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centers," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Artificial Intelligence Tools and Applications in Embedded and Mobile Systems, pages 261-271, Springer.
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