DoSIER 2024
2024 Sixth Doctoral Symposium on Intelligence Enabled Research

Table of Contents

• Preface 1
  Summary: There were 65 papers submitted for peer review to this Symposium. Out of these, 20 papers
  were accepted for this volume as regular papers.

• Automatic Cluster Detection in Hyperspectral Images using Quantum Walrus Optimizers 2-14
  Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Jan Platos, Ivan Zelinka, Vaclav Snasel
• High-speed Fuzzy Inference Machine Learning Device Based on Single-Layer Area Ratio Defuzzifier 15-25
  Maxim Bobyr, Bogdan Bondarenko, Alexandr Malyshev
• An Efficient Elephant Detection Strategy using Visual Attention Network (VAN) in Custom Dataset improved YOLOv7 Model 26-39
  Rabin Kumar Mullick, Rakesh Kumar Mandal
• Enhanced Vision-Based Human Fall Detection with Mask-RCNN and Autoencoder-LSTM Hybrid Framework 40-47
  Sritama Chakraborty, Mili Ghosh
• An Ontological Model of Peltier Thermoelement Control based on a Fuzzy Digital Filter and a PID-controller 48-56
  Maxim Bobyr, Artem Aseev, Natalya Milostnaya
• Evaluation of Faculty Teaching Effectiveness through Student Feedback Utilizing Fuzzy TOPSIS Method 57-71
  Dhrubajyoti Ghosh, Sandip Dey, Anita Pal
• Unsupervised Machine Learning Approach in Smart Agriculture to Measure Disease Severity of Tomato Leaf 72-86
  Trijit Arka Ghosh, Atanu Mondal
• Transfer Learning based Framework of VGG-16 to Detect Breast Cancer using Histopathological Images 87-101
  G. Divya Zion, B. K. Tripathy
• A Survey: Deepfake and Current Technologies for Solutions 102-116
  Sayan Banerjee, Sumit Kumar Yadav, Ankit Dhara, Md Ajij
• Droplet Routing in Digital Microfluidic Biochip using Agglomerative Hierarchical Clustering 117-128
  Jayanti Das, Indrajit Pan, Hafizur Rahaman
• Computational Creativity by Heuristic Search and Machine Learning 129-142
  Amit Konar, Sayantani Ghosh
• Elephant Detection near Railway Tracks using an Ensemble Approach of SSD and YOLO Model 143-157
  Dechen Doma Bhutia, Swarup Das, Rakesh Kumar Mandal
• Potato Leaf Disease Detection using CNN - A Lightweight Approach 158-171
  Abhisek Saha, Syed Mohammed Musharraf, Anubhav Dey, Hiranmoy Roy, Debotosh Bhattacharjee
• Enhancing Domain-Specific ASR Performance Using Finetuning and Zero-Shot Prompting: A Study in the Medical Domain 172-180
  Utsav Bandyopadhyay Maulik, Pabitra Mitra, Sudeshna Sarkar
• Training Feed-Forward Neural Networks for Medical Image Registration Using Sine-Cosine and Teaching-Learning-Based Fusion 181-192
  Tapas Sangiri, Md Ajij
• Deep Learning-Enhanced Detection of Lie Tendencies through Answer Pattern Analysis 193-210
  Debanil Chanda, Rakesh Kumar Mandal
• Harnessing AI and Machine Learning for Improved Cash Flow Forecasting 211-222
  Soumit Roy, Sayantan Polley, Saurav De, Chetan Gangwal, Chittresh Mitra
• Detecting the Factors affecting Carbon Emissions in Food Recipes using Regression Models and Explainable Artificial Intelligence 223-232
  Eman Ahmed, Mamdouh Gomaa, Ashraf Darwish, Aboul Ella Hassanien
• Enhanced UAV Tracking through Multi-Sensor Fusion and Extended Kalman Filtering 233-245
  Bodhisattwa Baidya, Atanu Mondal, Sarbajit Manna, Gourab Das, Anirban Santra, Arkaprava Chakraborty
• Time Series Error Detection Solution based on REFII Model and Concept of Nontemporal Expansion 246-254
  Goran Klepac