Annals of Computer Science and Information Systems, Volume 42
Proceedings of the Ninth International Conference on Research in Intelligent Computing in Engineering
Preface
Dear Reader, we are delighted to share with you a glimpse of the 9th International Conference on Research in Intelligent Computing in Engineering (RICE 2024). RICE 2024 is organized by Stanley College of Engineering and Technology For Women, Hyderabad, Jointly co-organized by School of Technology, Maulana Azad National Urdu University (A Central University), Hyderabad, Telangana, India; Universidad Don Bosco, El Salvador, CA, during December 27-28, 2024.
We are truly thankful to the Polish Information Processing Society (PTI), Poland for approving the proceedings of the 8th International Conference on Research in Intelligent Computing in Engineering (RICE 2024). It is appearing in the Annals of Computer Science and Information Systems series by PTI (ISSN-2300-5963). The series has been submitted to Copernicus, DBLP, Cross Ref, Scholar, BazEkon, Open Access Library, Academic Keys, Journal Click, PBN, and ARIANTE. At this stage, the efforts, whole-hearted support, and suggestions given by Editor-in-Chief Prof. Marcin Paprzycki and Prof. Maria Ganzha are highly applaudable and commendable.
We are pleased to report that various researchers are interested in participating in the 9th edition of RICE 2024. It is a privilege for us to hear four keynote speakers from different countries share their insightful perspectives on conference-related topics. The information is provided below:
- Dr. Abdul Khadar Jilani, University of Technology, Bahrain.
- Dr. Bui Tien Son, Hanoi University of Industry, Hanoi, Vietnam.
- Dr. Rajeeb Dey, National Institute of Technology, Silchar, Assam, INDIA.
- Dr. Sudan Jha, Kathmandu University, Nepal.
Finally, we would like to take this opportunity to express our sincere appreciation to the Advisory Board, Technical Program Committee, Organizing Committee, International Scientific Committee, institutions, industries, and volunteers, who contributed to the success of this conference either directly or indirectly.
Proceeding’s Editors – RICE 2024:
Vijender Kumar Solanki, Stanley College of Engineering and Technology for Women, Hyderabad, Telangana, India.
Tran Duc Tan, Phenikaa University, Hanoi, Vietnam.
Pradeep Kumar, Maulana Azad National Urdu University, Hyderabad, Telangana, India.
Manuel Cardona, Universidad Don Bosco, El Salvador, Central America.
The Ninth International Conference on Research in Intelligent Computing in Engineering
-
Seq2Seq Transformer-Based Model for Optimized Chinese-to-English Translation
81 Cosine Similarity, Language complexity, Machine translation, Rouge Metrics, Transformer models Sumayya Afreen, Nguyen Thi Dieu Linh, Sritisha Kodur, Asma Begum, pages 1–10. -
Optimizing Resume Clustering in Recruitment: A Comprehensive Study on the Integration of Large Language Models (LLMs) with Advanced Clustering Algorithms
29 Resume Clustering, Large Language Models, K-means, DBSCAN, Hierarchical Clustering, Recruitment Process, BERT, RoBERTa, Natural Language Processing Pobbathi Amaravathi, Safooraa Amjad Khan, Palle Sriharsha, Y. L. Malathi Latha, pages 11–16. -
A Proficient Convolutional Neural Network for Classification of Bone Age from X-Ray Images
60 component, formatting, style, styling, insert Sajid Faysal Fahim, Nafisa Tasnim, Golam Kibria, Md Sakib Morshed, Zareen Tasnim Nishat, Sumayea Bintey Azad, Shodorson Nath, Anik Lal Dey, Mir Ariyan Shuddho, Nishat Tasnim Niloy, pages 17–21. -
Eco Buddy: A Novel Robotic Platform for Automatic Waste Classification using Computer Vision and IoT
71 2-DoF Robotic Platform, IoT, Edge Computing, Computer Vision, TensorFlow Lite, COTS Armando Guevara, Irene López, Fernando Chávez, Manuel Cardona, Josue Aldana-Aguilar, Isidro Marroquín, pages 23–28. -
A Copy-Move Forgery Detection System Using Deep Learning based CNN model and Approximation Wavelet Coefficient
77 Image Forgery, Image Forgery, Approximation Wavelet Coefficient, Convolutional Neural Network (CNN) model, Wavelet Decomposition Daljeet Kaur, Kamaljeet Singh Kalsi, Vimmi Pandey, pages 29–33. -
Segmenting Brain Tumor Detection Instances in Medical Imaging with YOLOv8
89 Brain Tumor Detection, Instance Segmentation, YOLOv8, Medical Imaging Md Javeed Khan, Mohammed Raahil Ahmed, Mohammed Abdul Aziz Taha, Ruhiat Sultana, pages 35–38. -
Comparison of SAW, RAM, and TOPSIS Methods in Multi-Criteria Decision Making: Application in Selecting Waterproofing Materials Imported From Malaysia
66 SAW method, RAM method, TOPSIS method, waterproofing material selection Nguyen Thi Dieu Linh, Nguyen Hong Son, Nguyen Van Thien, pages 39–47. -
A Survey on Sentiment Analysis in Tamil: Critical Analysis
28 Lexicon, Sentiment Analysis, Opinion Extraction, Transformers S. Manoj, Moumita Pal, pages 49–62. -
Integrating Computational Advertising with Guaranteed Display for Enhanced Performance in Wi-Fi Marketing
109 Wifi Marketing; Guaranteed Display Advertising; Digital Advertising and Ad Scheduling; Computational Advertising; Campaign Performance Maximization; Resource Allocation in Computer Networks Bach Pham Ngoc, Linh Nguyen Duy, Bao Bui Quoc, Nhat Nguyen Hoang, pages 63–69. -
Harnessing AI for Enhanced Identity Management: Addressing Cybersecurity Challenges in the Digital Age
34 Artificial Intelligence (AI), Cyber Security, Data Protection, Identity Management, Threat Detection Suman Thapaliya, Sudan Jha, pages 71–77. -
Enhancing Plant Disease Detection Through Image Analysis Using SSDmobilenetV2 and ResNet50
15 Deep Learning, SSD MobilenetV2, ResNet50 Paribartan Timalsina, Subarna Bhattarai, Shaswot Paudel, Sudan Jha, pages 79–87. -
Enhancing YOLOv11 for Real-Time Object Detection: Advanced Architectures and Edge-Optimized Training Pipeline
115 Object detection, Real-time systems, training-pipeline, YOLO, deep learning. Sivadi Balakrishna, Shivani Yadao, Vijender Kumar Solanki, pages 89–96. -
Dynamic Clock Tree Balancing Algorithm: Achieving Enhanced Performance Efficiency in Asic Design
06 Application-Specific Integrated Circuit, Dynamic Clock Tree Balancing, Skew-aware-source-pulling J Praveen Kumar, G. Sudhagar, pages 97–102. -
Machine Learning-Based Prediction Models for Sentiment Analysis on Online Customer Reviews: A Case Study on Airbnb
117 machine learning, sentiment analysis, OCRs, price prediction, Airbnb Cu Kim Long, Le Bao Ngoc, Vijender Kumar Solanki, Nguyen Viet Anh, Luu Hoang Bach, Cu Ngoc Son, pages 103–116. -
Integrating AI and Blockchain for Advanced Predictive Health Analytics
113 Blockchain Technology, Artificial Intelligence, Ethereum, Data Security, Data Privacy and Integrity. M. Yuvaraj Naik, Pathan Khaleedh Khan, Thiruvidhi Revanth, Yerrapothu Dharani, Ramayanam Sai Teja, pages 117–122. -
FisherNet: AI-Driven Socio-Economic and Market Prediction for the Dry Fish Industry
112 component, formatting, style, styling Md Masud Rana, Mohammad Bodrul Munir, Shakik Mahmud, pages 123–129. -
Building a Robust Labor Market Network: Leveraging Machine Learning for Enhanced Workforce Insights
78 M.L, Workforce Analytics, Labor Market Dynamics, Predictive Modeling, Skill Gap Analysis, Employment Disparities, SVM, XGBoost Deepika Tiwari, Meena Tiwari, Hansaraj Shalikram Wankhede, pages 131–137. -
Cloud Computing and AI for Cyberstalking Prevention: A Comprehensive Approach
74 Cyberstalking, Cloud Computing, Artificial Intelligence, Cybersecurity, Machine Learning, Real-Time Detection, Privacy, Ethics. Meena Tiwari, Vivek Kumar Patel, pages 139–146. -
Enhancing MRI Imaging Efficiency: A Hybrid Under-Sampling Strategy for k-Space Data Acquisition
58 Compressed Sensing (CS), MRI reconstruction, Nonlinear conjugate gradient descent, Image quality assessment, Frequency domain (k-space) Duc-Tan Tran, Quang Huy Pham, Thi Phuong Hanh Nguyen, Trinh Thi Thu Huong, pages 147–150. -
Real Time Adaptive Access Control with Behavioral Analytics for Enhanced Cybersecurity in IoT and Cloud Systems
75 Access, Security, Behavior, Adaptation and Risk. Abhishek Tripathi, Kumar Rajan, Vishwajit Kumar, Kumar Raj, V Prasanna Anajaneyulu, Atul Sharma, Thangamani Ramesh, Pooja Bhamre, pages 151–155. -
Implementation of a Facial Recognition System for Attendance Tracking Utilizing the K-Nearest Neighbors Algorithm
54 Facial Recognition, KNN, Attendance System, PCA and LDA Abhishek Tripathi, Chirukuri Manohar, Dhiraj K Patel, Subhashish Tiwari, Rajat Paliwal, pages 157–161. -
Breastfeeding, HAMLET and AI: Exploring Synergies for Breast Cancer Prevention in Future Prospect
103 Breast cancer, Breastfeeding, Artificial Intelligence, Hamlet. K. L. Vasundhara, Harshita Vyas, Indaram Sri Charitha, pages 163–166.
E-mail:
Phone/fax: +48-89-5246089