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8th RICE 2023: Hyderabad, India
- Pradeep Kumar, Manuel Cardona, Vijender Kumar Solanki, Tran Duc-Tan, Abdul Wahid:
Proceedings of the Eighth International Conference on Research in Intelligent Computing in Engineering, RICE 2023, Hyderabad, India, December 1-2, 2023. Annals of Computer Science and Information Systems 38, 2023, ISBN 978-83-969601-5-3
The Eighth International Conference on Research in Intelligent Computing in Engineering
- Nayeem Ahmed, Syed Imtiyaz Hassan, Md. Zair Hussain:
Applications of Machine Learning for Diabetes Prediction. 1-6 - M. Hanefi Calp, Vijender Kumar Solanki:
Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms. 7-10 - Md. Gulzar, Muqeem Ahmed:
An Efficient Ontology Based Drug Prescription Model. 11-15 - Akhter Hussain Syed, Pratap Mohanrao Mohite, Sandip Eknathrao Ingle, Mohammad Waseem Ahmed Siddiqui, Zeeshan Raziuddin Mohammed:
Machine Learning Algorithms for Retinal Image Analysis and Glaucoma Detection. 17-22 - Kulashekar Inkollu, Sai Kiran Gorle, Sai Ram Kondabattula, Pagalla Bhavani Shankar, M. Babu Reddy:
A Review on Software Engineering: Perspective of Emerging Technologies & Challenges. 23-27 - Daljeet Kaur, Ajay Lala, Kamaljeet Singh Kalsi:
Detection of Copy-Move Image Forgery Using Local Binary Pattern from Detailed Wavelet Coefficient. 29-33 - Cu Kim Long, Trinh Thi Thu Hoang, Gloria Jeanette Rincon Aponte, Vikram Puri:
AI-driven rental bicycle system: An Ensemble learning approach. 35-39 - Satyam Mishra, Vu Duy Trung, Le Anh Ngoc, Phung Thao Vi, Sundaram Mishra:
Immersive Virtual Painting: Pushing Boundaries in Real-Time Computer Vision using OpenCV with C++. 41-50 - Reshma Nikhat, Fahmina Taranum, Mariyam Arshia:
Herbal Drug Medicines in the Prevention and Management of COVID Pandemic: A Case Study of ZINDA TILISMATH using Clustering Approach. 51-55 - Md Nooruddin Rabbani, Abdul Wahid, Fareeha Rasheed:
Fake News Identification Using Supervised Machine Learning Algorithms. 57-61 - Fatima Shaheen, Ahamed Jameel:
Data Aggregation Techniques and Challenges in the Internet of Things: A Comprehensive Review. 63-72 - Pagalla Bhavani Shankar, M. Babu Reddy, Yarlagadda Divya Vani:
Supply Chain for Agriculture Products Using Blockchain Technology. 73-77 - J. R. Shruti, Shubha Vibhu Malige:
Survey of Big Data Analytics in IoT-Driven Healthcare Applications: A Comparative Approach. 79-84 - M. S. Swetha, S. Mahalakshmi, S. K. Pushpa, Amrutha T. Madihalli, Ananya, Anand Bhardwaj:
Machine Learning Approach for Forecasting Job Appeasement and Employee Corrosion. 85-91 - S. Thanu, V. Subha:
Emerging Trends In Pulsar Star Studies: A Synthesis Of Machine Learning Techniques In Pulsar Star Research. 93-98 - Vu Duy Trung, Yan Chi Toh, Satyam Mishra, Le Anh Ngoc, Phung Thao Vi:
MACCHIEF - Machine learning-based Algorithm Classification for Complaint Handling and Improved Efficiency in Firms. 99-103 - Phung Thao Vi, Satyam Mishra, Le Anh Ngoc, Sundaram Mishra, Vu Minh Phuc:
DICKT - Deep Learning-Based Image Captioning using Keras and TensorFlow. 105-110 - Nareddy Vinaya, Vijender Kumar Solanki, L. Arokia Jesu Prabhu, Sivadi Balakrishna:
Unemployment Rate Future Forecasting Using Supervised Machine Learning Models. 111-114 - Quan Vu, To-Hieu Dao, Manh-Cuong Nguyen, Duc-Tan Tran:
Utilizing Flex Sensors for the Evaluation of Parkinson's Disease. 115-120
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