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ORCIDDoSIER 2024: Dhupguri, Jalpaiguri, West Bengal, India
- Siddhartha Bhattacharyya, Sandip Dey, Jyoti Sekhar Banerjee, Jan Platos:
Proceedings of the 2024 Sixth Doctoral Symposium on Intelligence Enabled Research (DoSIER 2024), Dhupguri, Jalpaiguri, West Bengal, India, November 28-29, 2024. CEUR Workshop Proceedings 3900, CEUR-WS.org 2025 - Tulika Dutta, Siddhartha Bhattacharyya, Bijaya Ketan Panigrahi, Jan Platos, Ivan Zelinka, Václav Snásel:
Automatic Cluster Detection in Hyperspectral Images using Quantum Walrus Optimizers. 2-14 - Maxim V. Bobyr, Bogdan Bondarenko, Alexandr Malyshev:
High-speed Fuzzy Inference Machine Learning Device Based on Single-Layer Area Ratio Defuzzifier. 15-25 - Rabin Kumar Mullick, Rakesh Kumar Mandal:
An Efficient Elephant Detection Strategy using Visual Attention Network (VAN) in Custom Dataset improved YOLOv7 Model. 26-39 - Sritama Chakraborty, Mili Ghosh:
Enhanced Vision-Based Human Fall Detection with Mask-RCNN and Autoencoder-LSTM Hybrid Framework. 40-47 - Maxim V. Bobyr, Artem Aseev, Natalya A. Milostnaya:
An Ontological Model of Peltier Thermoelement Control based on a Fuzzy Digital Filter and a PID-controller. 48-56 - Dhrubajyoti Ghosh, Sandip Dey, Anita Pal:
Evaluation of Faculty Teaching Effectiveness through Student Feedback Utilizing Fuzzy TOPSIS Method. 57-71 - Trijit Arka Ghosh, Atanu Mondal:
Unsupervised Machine Learning Approach in Smart Agriculture to Measure Disease Severity of Tomato Leaf. 72-86 - G. Divya Zion, B. K. Tripathy:
Transfer Learning based Framework of VGG-16 to Detect Breast Cancer using Histopathological Images. 87-101 - Sayan Banerjee, Sumit Kumar Yadav, Ankit Dhara, Md Ajij:
A Survey: Deepfake and Current Technologies for Solutions. 102-116 - Jayanti Das, Indrajit Pan, Hafizur Rahaman:
Droplet Routing in Digital Microfluidic Biochip using Agglomerative Hierarchical Clustering. 117-128 - Amit Konar, Sayantani Ghosh:
Computational Creativity by Heuristic Search and Machine Learning. 129-142 - Dechen Doma Bhutia, Swarup Das, Rakesh Kumar Mandal:
Elephant Detection near Railway Tracks using an Ensemble Approach of SSD and YOLO Model. 143-157 - Abhisek Saha, Syed Mohammed Musharraf, Anubhav Dey, Hiranmoy Roy, Debotosh Bhattacharjee:
Potato Leaf Disease Detection using CNN - A Lightweight Approach. 158-171 - Utsav Bandyopadhyay Maulik, Pabitra Mitra, Sudeshna Sarkar:
Enhancing Domain-Specific ASR Performance Using Finetuning and Zero-Shot Prompting: A Study in the Medical Domain. 172-180 - Tapas Sangiri, Md Ajij:
Training Feed-Forward Neural Networks for Medical Image Registration Using Sine-Cosine and Teaching-Learning-Based Fusion. 181-192 - Debanil Chanda, Rakesh Kumar Mandal:
Deep Learning-Enhanced Detection of Lie Tendencies through Answer Pattern Analysis. 193-210 - Soumit Roy, Sayantan Polley, Saurav De, Chetan Gangwal, Chittresh Mitra:
Harnessing AI and Machine Learning for Improved Cash Flow Forecasting. 211-222 - Eman Ahmed, Mamdouh M. Gomaa, Ashraf Darwish, Aboul Ella Hassanien:
Detecting the Factors affecting Carbon Emissions in Food Recipes using Regression Models and Explainable Artificial Intelligence. 223-232 - Bodhisattwa Baidya, Atanu Mondal, Sarbajit Manna, Gourab Das, Anirban Santra, Arkaprava Chakraborty:
Enhanced UAV Tracking through Multi-Sensor Fusion and Extended Kalman Filtering. 233-245 - Goran Klepac:
Time Series Error Detection Solution based on REFII Model and Concept of Nontemporal Expansion. 246-254
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