11th EAI International Conference on Advancements of Science and Technology
Springer International Publishing (Verlag)
978-3-031-64150-3 (ISBN)
- Noch nicht erschienen - erscheint am 21.09.2024
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Abeba Birhane is a cognitive scientist who works at the intersection of complex adaptive systems, machine learning, algorithmic bias, and critical race studies. Birhane's work with Vinay Prabhu uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic labels and offensive images. She has been recognized by VentureBeat as a top innovator in computer vision. Birhane was born in Ethiopia. She received her Bachelors of Science in Psychology and a Bachelors of Arts in Philosophy from The Open University. In 2015, she completed her Master of Science in Cognitive Science and, in 2021, her Ph.D. at the Complex Software Lab in the School of Computer Science at University College Dublin. Birhane studied the impacts of emerging AI technologies and how they shape individuals and local communities. She found that AI algorithms tend to disproportionately impact vulnerable groups such as older workers,trans people, immigrants, and children. Her research on relational ethics won the best paper award at NeurIPS's Black in AI workshop in 2019. She has also studied and written about algorithmic colonization. Her work in decolonizing computational sciences addressed the inherited oppressions in current systems especially towards women of color.
Fekadu Shewarega (Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and the Ph.D. degree in power engineering from the Technical University of Dresden, Dresden, Germany, in 1985 and 1988, respectively. After graduation, he joined the Addis Ababa University, Ethiopia as an Associate Professor, where he served in various teaching and administrative capacities. Currently, he is a member of the research staff at the University Duisburg-Essen, Duisburg, Germany. His research interests are focused on power system analysis and renewable energy technologies
Mekuanint Agegnehu Bitew received the bachelor's degree from Mekelle University, Mekelle, Ethiopia, in 2005, the master's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2007, and the Ph.D. degree from the College of Electrical and Computer Science, National Taipei University of Technology, Taipei, Taiwan, in 2016. He has been a Postdoctoral Researcher for two years with the National Taipei University of Technology. Since 2022, he has been an Associate Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia. His research interests include WSNs, ad-hoc networks, wireless communication, optical networks, and AI.
Mekonnen Wagaw received the bachelor's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2005, the Master's degree from Addis Ababa University, Addis Ababa, Ethiopia, in 2010, and the Ph.D. degree from the University of South Africa in Information Systems, 2020. Since then, he has been an Assistant Professor with the Faculty of Computing, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia.
Ahunim Abebe Ashetehe received the B.Ed. degree in electrical engineering and the M.Sc. degree in electrical power system engineering from Adama Science and Technology University in 2005 and 2009, respectively. He worked at Debre Berhan University from 2006 to 2012 engaging in teaching learning, community service, and administrative activities. He has been a lecturer at the Bahir Dar Institute of Technology, Bahir Dar University since August 2012. He is currently pursuing a Ph.D. degree at Bahir Dar Institute of Technology, Bahir Dar University, Ethiopia. His research interests include renewable energy technologies, rural electrification, microgrid & smart grid technologies, power system optimization & energy management.
Part I- AI, Machine Learning and its Applications. .- Chapter 1. Cervical cancer histopathological image classification using imbalanced domain learning.- Chapter 2. Prediction of Survival Status of Heart Failure Patients Using Machine Learning and Hyper-Parameter Optimi-zation Techniques.- Chapter 3. Breast Cancer Stage Identification Using Machine Learning.- Chapter 4. Deep Learning-Based Emotion Classification for Amharic Texts.- Chapter 5. Bilingual Word-Level Language Identification for Omotic Languages.- Chapter 6. ChatGPT in Education: Opportunities and Concerns for Functional English Sentence Structure Analysis for Automatic Question Generation.- Chapter 7. Artificial Intelligence Based Secured Smart Mirror Control Systems with Enhanced Vehicle and Sign Board Detection.- Chapter 8. Music Genre Classification Using Deep Neural Network with Feature Selection and Optimization Via Evolutionary Algorithm .- Chapter 9. Collaborative Filtering-Based Recommender System for Ethiopian Tourism Sites.- Chapter 10. Prediction of Compaction Parameters Based on Atterberg Limit by Using a Machine Learning Approach.- Chapter 11. Prediction of Fatigue Life of Materials Using Machine Learning Approach: A Review.- Part II- Industrial automation and control systems. .- Chapter 12. Adaptive Particle Swarm Optimization-Based Tuning of Fractional Order PID for Moisture Control in an Indus-trial Rotary Dryer System.- Chapter 13. TRAJECTORY TRACKING CONTROL OF THREE-DEGREE-OF-FREEDOM ARTICULATED ROBOT MANIPULATOR USING NEURAL NETWORK CONTROLLER.- Chapter 14. MODELING AND TRAJECTORY TRACKING CONTROLLER DESIGN FOR NONHOLONOMIC WHEELED MOBILE ROBOTS.- Part III- Networking and communication systems . .- Chapter 15. ABF and PBF Optimization for IRS based WCS with practical phase shifts.- Chapter 16. Bi LSTM Based on Indoor Localization by using Smartphones and Wi-Fi with RSSI Values.- Chapter 17. Ethiopic Cryptography: An Efficient Hybrid Encryption Algorithm for Reducing Cyber Security Attack.- Chapter 18. Dual Channel MEMS Actuated Tunable Optical Filter Based on Polarization Insensitive Compound Ring Resonator for DWDM Networks.- Part IV- Electrical power systems and automation. .- Chapter 19. Voltage Profile Improvement and Loss Minimization in a Transmission Line Using FLC Based UPFC at Bahir Dar Substation-II 230 kV Line.- Chapter 20. Simulation of a 100 MW grid-connected solar power plant and MPPT control using the PSO-P&O technique.- Chapter 21. Development of a Household Synthetic Load Profile for Rural Electrification.- Chapter 22. Optimal Sizing and Feasibility Study of Micro grid System for Rural Area in Gashamo Village, Somali Region of Ethiopia.- Chapter 23. Design and Simulation of SCADA System to Improve Reliability of a Distribution Feeder (Case Study on Bahir Dar, Feeder R6-G2).
| Erscheint lt. Verlag | 21.9.2024 |
|---|---|
| Reihe/Serie | EAI/Springer Innovations in Communication and Computing |
| Zusatzinfo | X, 390 p. 220 illus., 198 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 3-031-64150-7 / 3031641507 |
| ISBN-13 | 978-3-031-64150-3 / 9783031641503 |
| Zustand | Neuware |
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