Artificial Intelligence Tools and Applications in Embedded and Mobile Systems

Edited by Jorge Marx Gómez (), Anael Elikana Sam () and Devotha Godfrey Nyambo ()

in Progress in IS from Springer

Date: 2024
ISBN: 978-3-031-56576-2
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Chapters in this book:

Improving Robustness of Optimized Parameters Gradient Tree Boosting for Crime Forecast Model

Godfrey N. Justo, Leonard P. Binamungu and Festo S. Clemence

Evidence-Based Practices on Co-operative Societies Information Record Management

George Sizya Germinous and Mussa Ally Dida

Influence of Microservice Design Patterns for Data Science Workflows

Christoph Schröer, Raphael Holtmann, Jorge Marx Gómez and Hergen Pargmann

A Systematic Literature Review Toward Standardization of Business Rules Discovery in the Context of Process Mining

Menna Wael and Gamal Kassem

Contextual Multi-View Graph Community Detection Using Graph Neural Networks

Chiheb Edine Zoghlemi and Abdelkerim Rezgui

Feature Selection Approach to Improve Malaria Prediction Model’s Performance for High- and Low-Endemic Areas of Tanzania

Martina Mariki, Neema Mduma and Elizabeth Mkoba

2-Stage Hybrid Ensemble-Based Heterogeneous Committee Machine for Improving Soil Fertility Status Prediction Performance

Augustine J. Malamsha, Mussa Ally Dida and Sabine Moebs

Convolutional Neural Network Deep Learning Model for Early Detection of Streak Virus and Lethal Necrosis in Maize: A Case of Northern-Highlands, Tanzania

Flavia Stephen Mayo and Neema Mduma

Object Detection Model for Poultry Diseases Diagnostics

Shabani Karim, Dina Machuve, Elizabeth Mkoba and Sanket Pandhare

Machine Learning Model for Predicting Construction Project Success in Tanzania

Astin Ntulo, Elizabeth Mkoba, Dina Machuve and Sanket Mohan Pandhare

Improved Medical Imaging Transfer Learning through the Conflation of Domain Features

Raphael Wanjiku, Lawrence Nderu and Michael Kimwele

Determining Emotion Intensities from Audio Data Using a Convolutional Neural Network

Simon Kipyatich Kiptoo, Kennedy Ogada and Tobias Mwalili

Machine Learning-Based Forward Collision Avoidance System: A Case Study for the Kayoola EVS

Ali Ziryawulawo, Adonia Mbarebaki and Sam Anael

Visualizing Outlier Explanations for Mixed-Type Data

Jakob Nonnenmacher and Jorge Marx Gómez

A Dolutegravir-Associated Hyperglycemia Computational Prediction Tool for People Living with HIV in Uganda

Ceaser Wisdom Favor, Sinde Ramadhan, Michael Kisangiri, Levicatus Mugenyi, Francis Musinguzi, Martin Balaba, Noela Owarwo, Eva Laker, Ruth Obaikol, Agnes Kiraga, Barbara Castelnuovo and Rosalind Parkes-Ratanshi

Extraction of Numerical Facts from German Texts to Enrich Internal Audit Data

Gerrit Schumann and Jorge Marx Gómez

From Process Mining to Enterprise Mining

Hans-Jürgen Scheruhn, Christian Reiter and Elnur Bayramli

CNN with Attention-Guided Concatenation for Improved Image Restoration

Gladys Mange, Ronald Waweru, Michael Kimwele and Jorge Marx Gómez

A Contribution to the Development of Sustainable Target Value Streams with Machine Learning Considering Material Flow Cost

Mick Geisthardt and Lutz Engel

Mask R-CNN Model for Banana Diseases Segmentation

Christian A. Elinisa and Neema Mduma

The Artificial Neural Network-Based Smart Number Plate for Vehicles with Real-Time Traffic Signs Recognition and Notification

Alexandre Niyomugaba, Neema Mduma and Kisangiri Michael

Intermodal Matching Algorithm Including Public Transportation and Ride-Hailing

Sven von Höveling, Cedrik Theesen, Anton Butenko and Venkatesh Sasapu

A Machine Learning-Based IoT Environmental Monitoring Platform for Data Centers

Wayne Steven Okello, Silas Mirau, Michael Kisangiri, Andrew Katumba and Edwin Mugume

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DOI: 10.1007/978-3-031-56576-2

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