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ORCID5th CICBA 2023: Kalyani, India
- Kousik Dasgupta
, Somnath Mukhopadhyay, Jyotsna Kumar Mandal, Paramartha Dutta:
Computational Intelligence in Communications and Business Analytics - 5th International Conference, CICBA 2023, Kalyani, India, January 27-28, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science 1955, Springer 2024, ISBN 978-3-031-48875-7 - Sampa Rani Bhadra, Souvik Sengupta:
A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease. 1-13 - Sumon Dey, Swarup Das:
Assessment of Slope Instability in a Hilly Terrain: A Logistic Regression and Random Forest Based Approach. 14-27 - Subhankar Roy, Anirban Mukhopadhyay:
A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression. 28-42 - Bhaskar Sarkar, Saikh Risat, Asha Laha, Sanchari Pattanayak, Showmik Bhowmik:
Classification of Text and Non-text Components Present in Offline Unconstrained Handwritten Documents Using Convolutional Neural Network. 43-50 - Tamal Biswas, Diptendu Bhattacharya, Gouranga Mandal, Teerthankar Das:
Motion Detection Using Three Frame Differencing and CNN. 51-63 - Ankur Biswas, Rita Banik:
Advance Detection of Diabetic Retinopathy: Deep Learning Approach. 64-77 - Suvabrata Mukherjee, Provas Kumar Roy:
Load Flow Solution for Radial Distribution Networks Using Chaotic Opposition Based Whale Optimization Algorithm. 78-92 - Radha Krishna Bar, Somnath Mukhopadhyay, Debasish Chakraborty, Mike Hinchey:
Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network. 93-106 - Pritam Mandal, Sk. Sanimul, Barun Mandal, Provas Kumar Roy:
Economic Load Dispatch Problem Using African Vulture Optimization Algorithm (AVOA) in Thermal Power Plant with Wind Energy. 107-120 - Preet Samanta, Rishav Roy, Sarthak Mazumder, Pritam Kumar Gayen:
Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application. 121-134 - Somenath Hazra, Kartick Chandra Mondal:
Regression Analysis for Finding Correlation on Indian Agricultural Data. 135-151 - Mayukha Pal, Prasanta K. Panigrahi:
Classification of the Chest X-ray Images of COVID-19 Patients Through the Mean Structural Similarity Index. 152-164 - Sourasish Nath, Upamita Das, Debmitra Ghosh:
A Religious Sentiment Detector Based on Machine Learning to Provide Meaningful Analysis of Religious Texts. 165-184 - Manisha Barman, J. Paul Choudhury, Susanta Biswas:
Automated Detection of Melanoma Skin Disease Using Classification Algorithm. 185-198 - Sanjukta Mishra, Parag Kumar Guhathakurta:
Identification of Cloud Types for Meteorological Satellite Images: A Character-Based CNN-LSTM Hybrid Caption Model. 199-212 - Sai Shyam Desetti, Indranil Ghosh:
Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI. 213-227 - Rana Pratap Mukherjee, Rajesh Kumar Chatterjee, Falguni Chakraborty:
ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm. 228-238 - Mahamuda Sultana, Suman Bhattacharya, Ananjan Maiti, Adarsh Pandey, Diganta Sengupta:
A Deep CNN Framework for Oral Cancer Detection Using Histopathology Dataset. 239-248 - Munakala Lohith, Soumi Bardhan, Oishila Bandyopadhyay, Bhabatosh Chanda:
AntiNuclear Antibody Pattern Classification Using CNN with Small Dataset. 249-260 - Archana Kumari, Archana Garge, Priyanshu Raj, Gunjan Kumar, Jyoti Prakash Singh, Mohammad Alryalat:
Classification of Offensive Tweet in Marathi Language Using Machine Learning Models. 261-273 - Mayukha Pal, Yash Tiwari, T. Vineeth Reddy, P. Sai Ram Aditya, Prasanta K. Panigrahi:
An Integrative Method for COVID-19 Patients' Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor. 274-287 - Arpita Paria, Saswati Roy, Pramit Brata Chanda, Deepak Kumar Jha:
Identification and Multi-classification of Several Potato Plant Leave Diseases Using Deep Learning. 288-300 - Sayan Kumar Bose, Shinjohn Ghosh, Sibarati Das, Souhardya Bhowmick, Arpita Talukdar, Lopamudra Dey:
A GUI-Based Approach to Predict Heart Disease Using Machine Learning Algorithms and Flask API. 301-309 - Arka Dutta, Abhishek Baral, Sayan Kundu, Sayantan Biswas, Kousik Dasgupta, Hasanujaman:
Classification of Cricket Shots from Cricket Videos Using Self-attention Infused CNN-RNN (SAICNN-RNN). 310-326 - Madhuchhanda Dasgupta, Oishila Bandyopadhyay, Sanjay Chatterji:
Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather. 327-338 - Mithun Karmakar, Subhash Mondal, Amitava Nag:
Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System. 339-348
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