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ORCID6th RTIP2R 2023: Derby, UK
- KC Santosh
, Aaisha Makkar, Myra Conway, Ashutosh Kumar Singh, Antoine Vacavant, Anas Abou El Kalam, Mohamed-Rafik Bouguelia, Ravindra S. Hegadi:
Recent Trends in Image Processing and Pattern Recognition - 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part II. Communications in Computer and Information Science 2027, Springer 2024, ISBN 978-3-031-53084-5
Healthcare Informatics
- Anish Mathew Chacko, Rodrigue Rizk, KC Santosh:
Leveraging Handwriting Impairment as a Biomarker for Early Parkinson's Disease Diagnosis. 3-11 - Rohini A. Bhusnurmath, Shivaleela Betageri:
Enhancing CT Image Visualization and Analysis Through Rescaling Raw Pixel Values to Hounsfield Units. 12-20 - Anita Murmu, Piyush Kumar:
Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification. 21-33 - Saurabh Dixit, C. L. P. Gupta:
Detection of COVID-19 Disease Using Federated Learning. 34-43 - Tanmay Joshi, Ravindra S. Hegadi:
Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach. 44-53 - Deepanshi, Namo Jain, Prakhar Consul, Ishan Budhiraja, Deepak Garg:
Compressed Deep Learning Models with XAI for COVID-19 Detection Using CXR Images. 54-66 - Jacintha Menezes, Ramalingam Dharmalingam, Palaiahnakote Shivakumara:
HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques. 67-81 - Amit Kumar, Neha Sharma, Rahul Chauhan, Akhilendra Khare, Abhineet Anand, Manish Sharma:
A Stack Ensemble Approach for Early Alzheimer Classification Using Machine Learning Algorithms. 82-96 - Ronaj Pradhan, KC Santosh:
Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray. 97-110 - Gulshan Kumar Sharma, Priyanka Harjule, Basant Agarwal, Rajesh Kumar:
Silicosis Detection Using Extended Transfer Learning Model. 111-126 - Ved Prakash Dubey, A. Ramanathan, Senthilvelan Rajagopalan, C. Malathy, M. Gayathri, Vineet Batta, Srinath Kamineni:
Automated Make and Model Identification of Reverse Shoulder Implants Using Deep Learning Methodology. 127-138 - Kakelli Anil Kumar, Binamra Neupane, Saugat Malla, Durga Prasad Pandey:
COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model. 139-149 - Samson Anosh Babu Parisapogu, Mastan Mohammed Meera Durga, Vallela Kaushik Shashank Reddy, Boyapati Kalyan Chakravarthi, P. Vasanth Sena:
Modified Snapshot Ensemble Algorithm for Skin Lesion Classification. 150-159 - T. P. Raseena, Jitendra Kumar, S. R. Balasundaram:
A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively. 160-172 - Jinaga Tulasiram, Balaji Banothu, S. Nickolas:
Realistic Skin Image Data Generation Leveraging Conditional GAN and Classification Using Deep CNN. 173-185 - P. Praveen, M. S. Mallikarjunaswamy, S. Chandrashekara:
Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain. 186-196 - Nahid Sami, Aaisha Makkar, Farid Meziane, Myra Conway:
Exploring Imaging Biomarkers for Early Detection of Alzheimer's Disease Using Deep Learning: A Comprehensive Analysis. 197-206
Pattern Recognition in Blockchain, Cyber and Network Security, and Cryptography
- Chetanya Kunndra, Arjun Choudhary, Jaspreet Kaur, Prashant Mathur:
VAIDS: A Hybrid Deep Learning Model to Detect Intrusions in MQTT Protocol Enabled Networks. 209-222 - Ashish Tripathi, Arjun Choudhary, Sandeep Kumar Arora, Gautam Arora, Gargi Shakya, Bhavya Rajwanshi:
Crypto Bank: Cryptocurrency Wallet Based on Blockchain. 223-236 - Vimal Kumar, Priyam Srivastava, Ashay Dwivedi, Ishan Budhiraja, Debjani Ghosh, Vikas Goyal, Ruchika Arora:
Large-Language-Models (LLM)-Based AI Chatbots: Architecture, In-Depth Analysis and Their Performance Evaluation. 237-249 - Gonzalo Lara de Leyva, Ashutosh Dhar Dwivedi, Jens Myrup Pedersen:
CincoCrypto - A Cryptocurrency Price Forecasting Tool for Everyone. 250-264 - Neeraj Joshi, Sheshikala Martha, Shivam Chaudhary, Prakhar Consul, Sushil Kumar Singh:
Deep Neural Networks Based Security Solution for ATM Transactions. 265-275 - Gurpreet Kour Sodhi, Mekhla Sharma, Rajan Miglani:
A Comprehensive Analysis of Blockchain Network Security: Attacks and Their Countermeasures. 276-291 - Tejpal Sharma, Dhavleesh Rattan, Parneet Kaur, Anuj Kumar Gupta, Jagbir Singh Gill:
Enhancing Android Malware Detection: CFS Based Texture Feature Selection and Ensembled Classifier for Malware App Analysis. 292-306 - Arvind Kamble, Virendra S. Malemath, Suman Muddapu:
Blockchain-Enhanced Federated Learning for Secure Malicious Activity Detection in Cyber-Physical Systems. 307-324 - Ghanshyam S. Bopche, Saloni Pawar, Nilin Prabhaker:
Classification of Images Extracted from Scientific Documents for Cyber Deception. 325-340 - Parulpreet Singh, Vikas Srivastava:
Optimal Resource Allocation for Energy Harvested Cognitive Radio Networks Based on Learn Heuristic Algorithm. 341-354 - Deepak Kumar Sharma, Adarsh Kumar:
Blockchain for Patient Data Integrity: Decentralised Storage and Retrieval in Modern Healthcare Systems. 355-368 - Kenechukwu Eyisi, Khuram Nawaz Khayam, Wajahat Ali Khan, Maqbool Hussain, Muhammad Sadiq Hassan Zada, Ben Anderson:
UI/UX for Aerospace Qualification Business Processes. 369-382 - Adarsh Kumar Arya, Vineeta Gautam, Adarsh Kumar:
Comparative Studies of Stochastic Techniques to Minimize the Cost of Biomass Supply Networks. 383-392 - Hasin Bano, Muhammad Ameen, Muntazir Mehdi, Amaad Hussain, Pengfei Wang:
Federated Unlearning and Server Right to Forget: Handling Unreliable Client Contributions. 393-410
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