Accepted Papers

Digital innovation for sustainable and inclusive economic growth
ICT4DA-2025
IEEE 7th International Conference

Papers Selected for ICT4DA 2025 Conference Presentation.

  1. Paper ID = 7 , Paper Title = Word Sense Disambiguation Model for Wolaita Language Using Semi-Supervised Learning, Transformer Models, and Explainable AI
  2. Paper ID = 8 , Paper Title = A Noise-Robust End-to-End Framework for Amharic Speech Recognition
  3. Paper ID = 9 , Paper Title = Indigenous Knowledge Based Enset Crop Medicinal Value Identification Using Computer Vision
  4. Paper ID = 10 , Paper Title = News Text Classification for Wolaita Language using Transformer-based model and Deep Learning Approach
  5. Paper ID = 11 , Paper Title = Automatic Keyword Extraction Model for Wolaita Language using Hybrid Approach
  6. Paper ID = 13 , Paper Title = Multi-Label Based Plant Disease Identification and Treatment Recommendation Using Transfer Learning and Attention Mechanism
  7. Paper ID = 18 , Paper Title = Topic Clustering of COVID-19 Medical Literature Using LDA and K-Means: A Case Study
  8. Paper ID = 19 , Paper Title = Developing Wolaita Coffee Bean Quality Grading Model Using Deep Learning
  9. Paper ID = 21 , Paper Title = Enhancing ATM Security Via Deep Transfer Learning-Based Face Recognition
  10. Paper ID = 22 , Paper Title = Multilingual Clickbait News Detection and Classification in Social Media Using Multilingual T5: A Focus on Afaan Oromo and Amharic
  11. Paper ID = 24 , Paper Title = Examining the Accessibility of Ethiopian Higher Education websites: Participatory based approach
  12. Paper ID = 26 , Paper Title = Detection of Potentially Malicious Domain Names for Ethiopic Script (Amharic language): A Machine Learning Approach
  13. Paper ID = 30 , Paper Title = Emerging Trends in Artificial Intelligence for Digital Accessibility: A Topic Modeling Analysis
  14. Paper ID = 35 , Paper Title = Design and simulation of PSO based super-twisting SMC for high speed pick and place industrial robot
  15. Paper ID = 37 , Paper Title = MTSCH: MILP-Based Mobility-Aware TSCH Networks for IIoT
  16. Paper ID = 38 , Paper Title = A Hybrid Genetic and Cat-Salp Swarm Optimization Approach for Energy-Efficient Clustering and Multihop Routing in Wireless Sensor Networks
  17. Paper ID = 43 , Paper Title = DQN-based Algorithm for ARIS assisted Outdoor-to-Indoor Wireless Communication
  18. Paper ID = 44 , Paper Title = Privacy-Preserving Cervical Cancer Classification via Federated Learning on Medical Images
  19. Paper ID = 46 , Paper Title = Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction
  20. Paper ID = 47 , Paper Title = Nonlinear Model Predictive Controller Design for control of a differential drive wheeled mobile robot with model Improvement
  21. Paper ID = 50 , Paper Title = Automatic Spell Checker for KAFI NOONOO using Bidirectional beam search
  22. Paper ID = 54 , Paper Title = Potato Leaf Disease Detection Using Deep Learning Models and Grad-CAM++
  23. Paper ID = 56 , Paper Title = End-to-End Continuous Ethiopia Sign Language Recognition
  24. Paper ID = 63 , Paper Title = Design and Simulation of Fuzzy Fractional Order PID for Speed Control of PMSM Drive for Electric Vehicle Application
  25. Paper ID = 71 , Paper Title = Enhancing Pos Tagging For Low-Resource Languages: A Case Study On Dholuo
  26. Paper ID = 72 , Paper Title = End-to-End 5G and NGN Testbed Framework for Digital Innovation in Developing Economies
  27. Paper ID = 73 , Paper Title = Optimized Fractional-Order Control in Doubly Fed Induction Generator Systems under Variable Wind Profiles
  28. Paper ID = 75 , Paper Title = Intelligent Fault Diagnosis Method for Rotating Machines Using Multi-Kernel Size 1D-DCNN with Convolutional Block Attention Module
  29. Paper ID = 77 , Paper Title = Hybrid Face Recognition model using REsNet50 and Support Vector Machine
  30. Paper ID = 82 , Paper Title = Improving Object Point Software Effort Estimation Using a Deep Learning Approach
  31. Paper ID = 84 , Paper Title = Predicting Air Quality for Sustainable Urban Living
  32. Paper ID = 91 , Paper Title = Offline Offline Handwritten Signature Recognition Model Using Machine Learning
  33. Paper ID = 93 , Paper Title = Redefining Open-ended Assessment Authorship: Empirical Insights on Mind versus Machine Assessments in Computer Science
  34. Paper ID = 94 , Paper Title = A Neuro-Symbolic AI Approach to Gender Classification from Text
  35. Paper ID = 98 , Paper Title = Auditing and Mitigating Intersectional Bias in Gender Classification: A Data-Centric Approach
  36. Paper ID = 102 , Paper Title = Performance of Transformer-Based Models in Dholuo-Swahili Translation for Low-Resourced Language
  37. Paper ID = 104, Paper Title =  SOLAR POWERED AUTONOMOUS LORA/5G/-IOT AQUA-PARAMETER SENSOR DATA COLLECTION SYSTEM
  38. Paper ID = 106 , Paper Title = Brain Tumor Classification from MRI Images Using MobileNet and CBAM-Based Deep Learning Approach
  39. Paper ID = 109 , Paper Title = Transformed based deep neural network model to detect the conceptual semantic relation in Amharic Entities
  40. Paper ID = 110 , Paper Title = Detection of Traumatic Infections in Blunt Injuries Using Convolutional Neural Networks
  41. Paper ID = 113 , Paper Title = Utilizing Morpheme-Based Translation Units to Enhance Bidirectional Amharic-Khimtagne Machine Translation with Deep Learning
  42. Paper ID = 114 , Paper Title = Image Captioning in Amharic Language using Deep Convolutional Neural Networks (VGG16) with LSTM
  43. Paper ID = 116 , Paper Title = A Spatiotemporal and User-Centric Assessment for 5G Enhanced Mobile Broadband (eMBB) Service in Addis Ababa
  44. Paper ID = 118 , Paper Title = AM-DETOX: Analyzing Amharic Text Detoxification Using Pre-trained Large Language Models
  45. Paper ID = 121 , Paper Title = Standardized Logging Approach for Software Code-bases Using Natural Language Processing
  46. Paper ID = 123 , Paper Title = LLM-Based Multimodal COVID-19 Detection
  47. Paper ID = 124 , Paper Title = Large Language Model (LLM) based Question and Answering System (QAS): A systematic literature review
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