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ORCIDMIKE 2023: Kristiansand, Norway
- Seifedine Kadry
, Rajendra Prasath:
Mining Intelligence and Knowledge Exploration - 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28-30, 2023, Proceedings. Lecture Notes in Computer Science 13924, Springer 2023, ISBN 978-3-031-44083-0 - M. Rudra Kumar, A. Likhitha, A. Komali, D. Keerthana, G. Gowthami:
Multimodal Body Sensor for Recognizing the Human Activity Using DMOA Based FS with DL. 1-12 - K. Sreenivasulu, H. Aini Sosan Khan, K. Damini, M. Akhila, G. Bharathi:
Detection of Chicken Disease Based on Day-Age Using Pre Trained Model of CNN. 13-24 - Nisha Panchal, Dweepna Garg:
Image Captioning Using Xception-Long Short-Term Memory. 25-33 - Abhisek Panigrahi, Bibhudatta Nayak, Soumya Sahoo, OmPrakash Sahoo, Santanu Kumar Prusty:
Performance Analysis of Different Classifiers Using HOG and LBP for Traffic Sign Detection. 34-44 - S. Karthikeyan, T. Kathirvalavakumar, Rajendra Prasath:
Classification of the Class Imbalanced Data Using Mahalanobis Distance with Feature Filtering. 45-53 - Mark Movh, Isah Abdullahi Lawal:
Towards Data-Centric Approaches to Lung Cancer Classification. 54-66 - Bhavana Kaushik, Ankur Vijayvargiya, Jayant Uppal, Ankit Gupta:
Comparative Analysis of Machine Learning Approaches for Classifying Erythemato-Squamous Skin Diseases. 67-77 - Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+. 78-86 - Aysegül Albayrak Dogan, Ahmet Sayar, Ilker Çetiner:
Topic Classification of Text-Based Lesson Questions in Turkish with BERTurk. 87-94 - S. V. Tharun, G. Saranya, Tamilvizhi Thanarajan, Surendran Rajendran:
Highest Accuracy Based Automated Depression Prediction Using Natural Language Processing. 95-104 - Prem Kumar Singuluri, B. Jayamma, B. Divya Bharathi, T. Bhavya Sree, B. Lakshmi Santhoshi:
Crime Prediction Using Modified Capsule Network with CrissCross Optimization on the Sentiment Analysis for Cyber-Security. 105-116 - Renjith V. Ravi, S. B. Goyal, Shixiao Xiao, Mustafa Muwafak Alobaedy, Vladimir Kustov:
Sentiment Analysis Using Lexical Approach and Fuzzy Logic. 117-127 - Nishant Sharma, Rekha Agarwal:
HTTP, WebSocket, and SignalR: A Comparison of Real-Time Online Communication Protocols. 128-135 - Vinoth Chakkaravarthy, N. Anbaran Arivukoe, A. Aravinda Krishnan, N. S. Santhsoh Sivan, J. Tavamani Rajadurai:
An IoT Based Early Alert System to Monitor and Reduce Electrical Energy Consumption at Home in Smart Cities. 136-147 - B. Deena Divya Nayomi, L. Venkata Jayanth, A. Vinay, P. Subba Rao, L. Shashi Vardhan:
Securing the MANET by Detecting the Flooding Attacks Using Hybrid CNN-Bi-LSTM-RF Model. 148-160 - M. Sundarrajan, Akshya Jothi, D. Prabakar, Seifedine Kadry:
The Smart Coverage Path Planner for Autonomous Drones Using TSP and Tree Selection. 161-172 - Akshya Jothi, M. Sundarrajan, R. Gayana, Seifedine Kadry:
UAV Smart Navigation: Combining Delaunay Triangulation and the Bat Algorithm for Enhanced Efficiency. 173-184 - Mujahid Tabassum, Tripti Sharma, Saju Mohanan, Isah Abdullahi Lawal:
A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols. 185-192 - Mohammad Riyaz Belgaum, Shaik Maryam Momina, L. Nousheen Farhath, K. Nikhitha, K. Naga Jyothi:
Development of IoT-Healthcare Model for Gastric Cancer from Pathological Images. 193-201 - M. Anusha, S. Devadharshini, Faazelah Mohamed Farook, G. Ananthi:
Glaucoma Detection Using the YOLO V5 Algorithm. 202-212 - Priya Thiagarajan, M. Suguna:
Deep Learning Ocular Disease Detection System (ODDS). 213-224 - Seifedine Kadry, Mohammed Azmi Al-Betar, Sahar Yassine, Ramya Mohan, Rama Arunmozhi, Venkatesan Rajinikanth:
Efficient Chest X-Ray Investigation Using Firefly Algorithm Optimized Deep and Handcrafted Features. 225-236 - Raj Kumar, Ujjawal Singh, Soumya Sahoo, Ipsita Das, Prashant Kr. Jha:
Disease Detection and Risk Prediction System Based Web Application Using Machine Learning. 237-249 - CR Asswin, J. Arun Prakash, K. S. Dharshan Kumar, Avinash Dora, V. Sowmya, Meshari Almeshari, Yasser Alzamil:
Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis Using Channel Attention Deep CNN Architectures. 250-260 - R. Sakthi Ganesh Dharani, S. V. Lokheshram, A. Malini:
Seasonal Disease Based Demand Forecasting for Pharmaceutical Medications Using Random Forest. 261-268 - S. Sivakumar, S. Anita, S. Jothi:
Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson's Disease. 269-282 - S. V. Tharun, G. Saranya, Tamilvizhi Thanarajan, Surendran Rajendran:
Cryptocurrency Price Prediction Using Deep Learning. 283-300 - Vishvesh Pathak, Uma Maheswari Balasubramanian, S. Geetha:
Ensemble Learning Based Social Engineering Fraud Detection Module for Cryptocurrency Transactions. 301-311 - Megha Pathak, Alka Chaudhary:
Analysis and Prediction of Cryptocurrency Using Deep Learning Algorithms. 312-318 - M. Rudra Kumar, R. V. S. S. S. Tarun Teja, A. Venkata Rakesh Reddy, S. Vamshi Krishna, P. Venkata Koushik:
Detecting the Attacks Using Blockchain-Based Decentralized Security Architecture in IoT Environment. 319-329 - N. Parashuram, K. Bhanu Nikitha, U. Jaya Sree, S. Lakshmi Prasanna, K. Lavanya:
Developing a System Based on Block Chain Technology for e-Voting Mechanism. 330-340 - Pronaya Bhattacharya, Sudip Chatterjee, Rajan Datt, Ashwin Verma, Pushan Kumar Dutta:
A Permissioned Blockchain Approach for Real-Time Embedded Control Systems. 341-352 - D. Jayanarayana Reddy, D. Vamshi Krishna, S. Sharmas Vali, E. Tharun, M. Vamsi Kumar:
An Empirical Study of Machine Learning for Business Enterprises Management of Cloud Computing Services. 353-364 - D. Jayanarayana Reddy, B. Somanaidu, G. Srivathsa, K. Sreenu:
Prediction of Stock Market in Small-Scale Business Using Deep Learning Techniques. 365-376 - Abhinav Sharma, Amrit Mohapatra, Soumya Sahoo, Aditya Prasad Panda, Ayush Mandal:
Predictive Intelligence Based Semiconductor Substrate Fault Detection Model with User Interface. 377-386 - Lokesh Kumar, Yasir Afaq:
Improving Sustainability with Deep Learning Models for Inland Water Quality Monitoring Using Satellite Imagery. 387-395 - Ankit Kumar Saha, Abhishek Kumar Sharma, Soumya Sahoo, Shaikh Ejaz Hussain, Nikhil Kumar Sahoo:
Machine Learning Based Prediction of Student's Performance Based on Psychological and Behavioral Data. 396-408 - M. Sri Raghavendra, S. Sai Sahithi Reddy, P. Nikhitha, P. Sai Priya, N. Madhura Swapna:
Task Scheduling Based Optimized Based Algorithm for Minimization of Energy Consumption in Cloud Computing Environment. 409-423
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