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ORCID5th RTIP2R 2022: Kingsville, TX, USA
- KC Santosh
, Ayush Goyal, Djamila Aouada, Aaisha Makkar, Yao-Yi Chiang, Satish Kumar Singh:
Recent Trends in Image Processing and Pattern Recognition - 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers. Communications in Computer and Information Science 1704, Springer 2023, ISBN 978-3-031-23598-6
Healthcare: Medical Imaging and Informatics
- Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani:
Data Characterization for Reliable AI in Medicine. 3-11 - Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Arun Singh, Alice Othmani, KC Santosh:
Alzheimer's Disease Detection Using Ensemble Learning and Artificial Neural Networks. 12-21 - Ruchika Chavhan, Biplab Banerjee, Nibaran Das:
Semi-supervised Multi-domain Learning for Medical Image Classification. 22-33 - Alice Othmani, Thibaut Bizet, Tanguy Pellerin, Badr Hamdi, Marc-Antoine Bock, Soumyabrata Dev:
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection. 34-45 - Rafia Sharmin Alice, Laurent Wendling, KC Santosh:
2D Respiratory Sound Analysis to Detect Lung Abnormalities. 46-58 - Joshua Henderson, KC Santosh:
Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Disease. 59-77 - M. S. Greeshma, V. R. Bindu:
Chest X-ray Image Super-Resolution via Deep Contrast Consistent Feature Network. 78-90 - Anuja Deshpande:
A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images. 91-119 - Afia Farjana, Aaisha Makkar:
Federated Learning for Lung Sound Analysis. 120-134 - A. S. Mahesh Kumar, M. S. Mallikarjunaswamy, S. Chandrashekara:
Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thermal Image. 135-150 - Shamima Khatoon, Gufran Ahmad:
Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood. 151-163 - Sushma V. Chaugule, V. S. Malemath:
An Extreme Learning Machine-Based AutoEncoder (ELM-AE) for Denoising Knee X-ray Images and Grading Knee Osteoarthritis Severity. 164-175
Computer Vision and Pattern Recognition
- Hubert Cecotti, Girish Tiwale:
Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks. 179-189 - Md. Fazlay Rabbi, Fatema Tuz Zohra, Farhana Hossain, Naznin Nahar Akhi, Shakil Khan, Md. Kawsher Mahbub, Milon Biswas:
Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201. 190-204 - Fernando Joaquín Ramírez-Coronel, Oscar M. Rodríguez-Elias, Madaín Pérez Patricio, Edgard Esquer-Miranda, Julio Waissman Vilanova, Mario I. Chacon Murguia, Omar Hernandez-Gonzalez:
Shrimp Shape Analysis by a Chord Length Function Based Methodology. 205-219 - Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Louisa Kessi, Loveleen Gaur:
Supervised Neural Networks for Fruit Identification. 220-230 - Ayushi Patel, Priyanka Singh:
Targeted Clean-Label Poisoning Attacks on Federated Learning. 231-243 - Rupali S. Patil, Satish R. Kolhe:
Building Marathi SentiWordNet. 244-260 - Pranav Singh Chib, Manju Khari, KC Santosh:
A Computational Study on Calibrated VGG19 for Multimodal Learning and Representation in Surveillance. 261-271 - Rahul Nijhawan, Manya Juneja, Namneet Kaur, Ashima Yadav, Ishan Budhiraja:
Automated Deep Learning Based Approach for Albinism Detection. 272-281 - Tejal Rane, Abhishek Bhatt:
A Deep Learning-Based Regression Scheme for Angle Estimation in Image Dataset. 282-296 - Sayani Sarkar, Somenath Chakraborty:
The Classification of Native and Invasive Species in North America: A Transfer Learning and Random Forest Pipeline. 297-307
Internet of Things and Security
- Prodipta Promit Mukherjee, Maharin Afroj, Sohaima Hossain, Milon Biswas:
Towards a Digital Twin Integrated DLT and IoT-Based Automated Healthcare Ecosystem. 311-323 - Abishi Chowdhury, A. Swaminathan, Rajan R. Ashoka, Amrit Pal:
Enabling Edge Devices Using Federated Learning and Big Data for Proactive Decisions. 324-336 - Md. Akkas Ali, Rajesh Kumar Dhanaraj:
IoT and Blockchain Oriented Gender Determination of Bangladeshi Populations. 337-343 - Shivani Gaba, Ishan Budhiraja, Vimal Kumar, Aaisha Makkar:
Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems. 344-355 - Abu Sayeed, Azmain Yakin Srizon, Md. Mehedi Hasan, Jungpil Shin, Md. Al Mehedi Hasan, M. Rasel Mahmud:
A Hybrid Campus Security System Combined of Face, Number-Plate, and Voice Recognition. 356-368
Signal Processing and Machine Learning
- Hubert Cecotti, Steve Jaimes:
Single-Trial Detection of Event-Related Potentials with Artificial Examples Based on Coloring Transformation. 371-382 - Srishti Jhunthra, Harshit Garg, Vedika Gupta:
Identifying the Relationship Between Hypothesis and Premise. 383-390 - Saurabh Gajbhiye, Priyanka Singh, Shaifu Gupta:
Data Poisoning Attack by Label Flipping on SplitFed Learning. 391-405 - Arnab Banerjee, Srijoy Paul, Tisu Priya, Anamika Rohit, Nibaran Das:
A Deep Learning-Powered Voice-Enabled Math Tutor for Kids. 406-417
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