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ORCID6th MIND 2024: Goa, India - Part I
- Chirag Modi
, Gyanendra Kumar Verma, Veena Thenkanidiyoor, Ljiljana Brankovic:
Machine Learning, Image Processing, Network Security and Data Sciences - 6th International Conference, MIND 2024, Goa, India, December 20-21, 2024, Revised Selected Papers, Part I. Communications in Computer and Information Science 2736, Springer 2026, ISBN 978-3-032-14530-7
Artificial Intelligence and Machine Learning
- Keyurkumar Patel, Arpit Sharma, Vansh Tiwari, Kunjan Parikh, Jaymin Tanna:
Alzheimer Detection and Classification Using Deep Learning Techniques. 3-14 - Sushil Kumar Janardan, Ram Nivas Giri, Rekh Ram Janghel, Himanshu Govil:
Enhancing Hyperspectral Image Classification with Attention-Driven Dual-CNN Fusion. 15-27 - Gautham Praveen Ramalingam, N. Karthikeyan, G. Gerard Alex Ben, Deepika Pandian:
Advanced Personalized Medicine Framework: FuRGAN Utilizing Fuzzy Logic, RNNs, and GANs for Dynamic Dosage Recommendations. 28-40 - M. Srikanth, Chandrashekar Jatoth:
A Hybrid CNN-GAT Model for MRI Screening of Autism Spectrum Disorder. 41-52 - Piyush Dahiwadkar, Sujal Joshi, Gunjan Kadam, Dhanashree Toradamalle:
Advanced Hybrid CNN-Transformer Predictive Machine Learning Model for Enhanced Pneumonia Detection Research. 53-64 - K. Sridhar Patnaik, Itu Snigdh, Rajeev Mishra, Rajeev Kumar Ranjan, M. Rajesh Kumar Rao, Chitranjan Kumar Rai, Saket Kumar Singh, Manisha Oraon, Riya Agarwal, Harish Shivprasad Gupta, Md. Shahrukh, Prakhar Suresh Srivastava, Ruchi Pandey:
Deep Learning Approaches for Hypoxic-Ischemic Encephalopathy Detection in Neonates Using Ultrasound Imaging. 65-77 - I. Hhntv Prasad, Mulagala Sandhya, Rithvik Mooda, Dilip Kumar Vallabhadas:
Multi-algorithmic Fingerprint Authentication Using Minutiae-Based Average SIFT Descriptor. 78-92 - Rajkumar Maharaju, Rama Valupadasu:
Enhanced Lung Cancer Classification and Severity Assessment Using Deep Learning. 93-103 - Suryakant Yadav, Samir Kumar Borgohain:
Transferablity Analysis of Adversarial Images Between CNN-Based Models. 104-114 - Sonali Subhash Shinde-Patil, Varsha P. Desai, K. Prathapan Pillai:
Deep Learning-Based Analysis, Selection, and Detection of Soybean Seeds: A Comprehensive Review. 115-127 - Atanu Chatterjee, P. Ajay Vikram, Aniketh Narayan Bellala, T. Naga Tarun, Basavaraj Talawar, M. Vani, Jeny Rajan:
ViTFuser: Advancements in Global Context Understanding for Autonomous Vehicles. 128-140 - H. Faizal Ahamed, M. Brindha:
Generative Adversarial Networks for Enhanced Image Restoration and Anti-Forensics. 141-151 - Jovita Relasha Lewis, Sameena Pathan, Preetham Kumar, Cifha Crecil Dias:
An Automatic Segmentation of Polyp in Colorectal Cancer Using U-Net. 152-163 - Tanush Mohindra, Anshul Sharma, Vandana Bharti, Rishav Singh, Sanjay Kumar Singh:
Assessing CNN Models for Multi-stage Alzheimer's Disease Classification with Data Splitting Techniques. 164-176 - Ashinee Kesanam, Gummuluri Venkata Ravi Ram, M. Anand Kumar:
Leveraging Large Language Models for Zero Shot Feature Selection in Cardiometabolic Disease Prediction. 177-188 - Apoorva Bapuram, M. Akila Devi, Abhishek Kumar, Banoth Yakub, Santosh Kumar Dwivedi, Amarjit Kumar:
Enhancing 5G Network Slicing with Machine Learning Classification. 189-198 - Gummuluri Venkata Ravi Ram, Ashinee Kesanam, B. Chaithanya Swaroop, G. Ram Mohana Reddy:
LIGHT-ME: Lightweight Attention-Based Multimodal Emotion Detection. 199-210 - Nahid Anowar, Joydev Debnath, Arup Bhattacharjee, Chandrajit Choudhury:
A Brief Review on Reinforcement Learning Based Close Air Combat. 211-221 - Srivani M., G. Dinesh, S. A. Athi Lakshmi:
Revolutionizing Agriculture: Smart Irrigation 4.0 with Reinforcement Learning Using Deep Q-Network. 222-233 - Anand Kumar Jain, Dakshita Sharma, Neeta Nain:
Disease Detection and Classification of Rice Leaves Using Transfer Learning with Concatenate. 234-245 - Nitika Nigam, Nandit Sharma, Sourav Yadav, Rajeev Nath Tiwari, Vinod Kumar:
From Lab to Field: Robustness Analysis of Plant Disease Recognition Models in Uncontrolled Environment. 246-257 - Ayushi Mathur, Ritesh Vyas:
Knuckle Classification Through Transfer Learning and Deep Features. 258-266 - G. Anantha Krishnan, John Paul Martin, Christina Terese Joseph, Tom Kurian:
IAD-Fed: Internet Addiction Diagnosis from EEG Signals Using Federated Learning in Edge Environments. 267-278 - H. Hedhav, Hariesh Sambath, Donald Xavier Anto, E. Sivasankar:
Leveraging Aspect-Based Sentiment Analysis to Integrate Reviews and Ratings to Enhance Recommender Systems. 279-289 - Santosh Rajak, Ujwala Baruah, Manojeet Roy:
A Novel Hybrid Approach for Multi-class Classification of Hindi Hostile Online Posts. 290-304 - Dhiraj Choudhary D, M. Shashank Reddy, M. Anand Kumar:
Hate Speech Sentiment Detection with Topic Modeling-Based Feature Engineering. 305-316 - Yogesh Kakde, Sandeep Kumar Dash, Ranjita Das:
Tokenization Techniques in Multimodal Learning: A Survey of Text and Image Tokenizers. 317-328 - Pusapati Varshith Reddy, Prabhakar Kandukuri, Medikonda Asha Kiran, Prathima Kativarapu:
Enhanced Fruit and Vegetable Image Recognition with CNN and MobileNetV2. 329-340 - Malothu Rajeswari, Kusuma Kommana, Prakash Kodali:
Integrated Progressive Multi-scale Deraining Network. 341-350 - P. N. Arthana, V. Sneha, Manohar N, Priyanka Manchegowda, R. Suresha:
Vision Based Pothole Detection System for Challenging Scenarios. 351-361 - Jyoti Sharma, Pradeep Chouksey:
Image-Based Identification of Silkworm Pupae Surfaces Using Deep Learning Techniques. 362-379 - Darshan R. K, Renukasakshi N. Patil, V. Geetha:
Segmentation-Based 3D Point Cloud Generation for Medical Data Using 2D Images. 380-391 - Krishna Chaitanya Gorti, Garima Pandey, Shashidhar G. Koolagudi:
Javlein Throw Analysis Using Computer Vision. 392-402 - M. Evany Anne, M. Brindha, N. Sivakumaran:
Object Tracking Algorithms: Enhancing Real-Time Violence Detection in Modern Surveillance Systems. 403-414 - Prathipati Jayanth, Jatti DevaPaul, Pradeep Balla, K. Ritvik, V. S. Ananthanarayana:
Lyric-to-Melody: Generative Song Melody Creation from Lyrics. 415-426 - Sayan Das, M. Ambika:
From Data to Harvest: Leveraging Machine Learning and Dataset Visualization for Crop Prediction. 427-437 - Priyanka Pondugula, M. Rashmi:
AgroProposal - A Deep Learning Guided Web Application For Crop Recommendation. 438-449 - M. N. Renukadevi, Kavyashree I. Pattan, Rajesh T. M.:
Comparative Analysis of Machine Learning Algorithms for Water Region Classification in Flood-Affected Images. 450-462 - Aadarsh Lakshmi Narasiman, Garima Pandey, Shashidhar G. Koolagudi:
Audio Classification in Carnatic Classical Music. 463-474 - Choudhary Shyam Prakash, Sahani Pooja Jaiprakash:
ELA-TransNet: Error Level Enhanced Hybrid Network for Image Forgery Detection. 475-486 - Bogolu Rupa, R. Aruna Flarence, Atul Negi:
Scalable Kernel SubXPCA Applied to Classification of Hyperspectral Images on a Distributed Platform. 487-498 - Sahil Pankaj Kalro, Shaun Steve Pereira, Swapnil Manjunath Kirloskar, Varun Dayanand Shringare, Supriya Patil, Anusha Raghavendra Pai:
Gesture Control System for Drones: Enhancing Human-Drone Interaction Through Real-Time Machine Learning and Depth Sensing. 499-510 - Bishad Shukla, Mou Dasgupta:
Mitigating Risks in Drone Swarm Operations: Obstacle Avoidance and Secure Data Exchange. 511-524 - Partha Pratim Bhuyan, Bikash Sharma, Ajanit Bora, Ranjay Hazra:
Optimizing Diabetes Prediction: Hyperparameter Tuning and Type Classification Hypotheses with Deep Neural Network. 525-537 - Srikrishna S. Kashyap, B. K. Vinay, T. R. Suranjan, M. A. Sriraj:
Machine Learning Techniques for Predicting Olive Oil Pigment Concentrations. 538-549 - Nurul Amin Choudhury, Gyanda Kaushal, Badal Soni:
An Effective Spatio-Temporal Feature Engineering and Classification Framework for Smartphone Sensor-Based Human Activity Recognition. 550-561 - D. J. Chaithanya, Chandrashekar M. Patil, M. S. Harshitha, Yajnika S. Nandi, A. PavanAthreya, U. Parvitha:
Machine Learning Based Modulation Techniques for Next-Generation Advanced Communication Systems Using ANN. 562-574 - Archana Nandibewoor, Abhilash Hegde, Sukeerti S. Khasnis, Suchet S. Kerimani, Rohan R. Ranganagoudar, Prajwalgouda S. Dalawai, Prateek S. Pandarikar:
Comparative Analysis of Digital and Multispectral Imaging for Camouflage Detection Using YOLOv11. 575-584 - Sri Sathwik Reddy Yarram, Harish Balaji Balamurali, Marreddy Mohit Sasank Reddy, Pentyala Sai Vijay Kumar, G. Jyothish Lal:
Feature-Optimized Deepfake Audio Detection Using Machine Learning. 585-596 - Vinod Kumar, Ravi Shankar Singh, Nitika Nigam, Samujjal Choudhury, Rahul Kumar:
CKGFLNet: A Fast Hybrid Architecture for Hyperspectral Image Classification Leveraging Kaiming-Gaussian Attention. 597-609 - Vinayak Musale, Rachit Patekar, Ayush Kumar, Aariz Shaikh, Shaleen Gupta, Amruta Amune, Mangesh V. Bedekar:
Machine Learning Based Detection Mechanism for Sensor Spoofing in Autonomous Vehicles. 610-620 - Panduranga Vital Terlapu, G. Kiran Kumar, Dharmana Jayaram, Shirina Samreen, P. Ram Mohan Rao, Kovelakonda Sakunthala:
Intelligent Alcohol Consumption Detection Using Hyperparameter-Tuned MLP with Whale Optimization on Vowelized Dataset. 621-634
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