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.

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 24th – 25th, 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.