Intelligent Computing

This book is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world.

Each chapter is a paper presented at the Computing Conference 2021 held on 15-16 July 2021. Computing 2021 attracted a total of 638 submissions which underwent a double-blind peer review process. Of those 638 submissions, 235 submissions have been selected to be included in this book.

The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences.

We hope that readers find this volume interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications is a trigger for further related research and technology improvements in this important subject.

Inhalt
Feature Analysis for Aphasic or Abnormal Language Caused by Injury.- Automatic Detection and Segmentation of Liver Tumors in Computed Tomography Images: Methods and Limitations.- Data Security in Health Systems: Case of Cameroon.- Predicting Levels of Depression and Anxiety in People with Neurodegenerative Memory Complaints Presenting with Confounding Symptoms.- Towards Collecting Big Data for Remote Photoplethysmography.- Towards the Localisation of Lesions in Diabetic Retinopathy.- Effect of Adaptive Histogram Equalization of Orthopedic Radiograph Images on the Accuracy of Implant Delineation using Active Contours.- An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels.- Benchmarking of Fully Connected and Convolutional Neural Networks on Face Recognition: Case of Makeup and Occlusions.- Wavelet Neural Network Model with Time-frequency Analysis for Accurate Share Prices Prediction.- Improving Student Engagement and Active Learning with Embedded Automated Self-Assessment Quizzes: Case Study in Computer System Architecture Design.