Computational intelligence in communications and business analytics 7th International Conference, CICBA 2025 Kolkata, India, July 4-6, 2025 revised selected papers Part III Kartick Chandra Mondal [and five others] editors

Format:

Book

Conference/Event

Contributor:

Mondal, Kartick Chandra, editor.

Conference Name:

CICBA (Conference) (7th : 2025 : Kolkata, India)

Series:

Communications in computer and information science ; 2863.

Communications in computer and information science 1865-0937 2863

Language:

English

Subjects (All):

Computational intelligence.

Data structures (Computer science).

Genre:

proceedings (reports)

Conference papers and proceedings

Conference papers and proceedings.

Physical Description:

1 online resource

Place of Publication:

Cham, Switzerland Springer [2026]

Summary:

"This three-volume set CCIS 2861-2863 constitutes the refereed proceedings of the 7th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2025, held in Kolkata, India, during July 4-6, 2025.The 100 full papers presented in these volumes were carefully reviewed and selected from 311 submissions. The papers are organized into thematic tracks as follows: Computational Intelligence; Data Communication; and Analytics and Application"-- Springer Nature Link

Contents:

Federated learning in healthcare : A case study on COVID-19 / Rahul Karmakar, Arindam Sarkar, Debraj Malik, and Imran Mondal

Development of online handwritten Bangla digit dataset for mobile application / Trishita Ghosh, Shibaprasad Sen, Ayasha Zaman, Sk. Md. Obaidullah, and Kaushik Roy

Detection of fake news in social media using supervised machine learning approach / Sagnik Mitra, Munmun Bhattacharya, and Arpita Talukdar

Detecting profile cloning on online social networks with machine learning / Saptak Sil, Munmun Bhattacharya, and Arpita Talukdar

Comparative analysis of Apache Spark and Apache Kafka for efficient data integration for real-time data processing / Samriddha Bhattacharyya, Surjit Banik, Ankit Paswan, Nitin Kumar, Anirban Bhar, Suchismita Maiti, Neepa Biswas, and Kartick Chandra Mondal

A method on the impact of low-detail images versus AI-enhanced images using deep learning for facial emotion recognition / Sagupta Parveen, Sujit Kumar Das, and Shailendra Tiwari

Enhancing flight delay prediction with a spatio-temporal graph attention network : A graph-based approach to modeling airport interdependencies / Riddhi Raj Ghosh, Ankika Dey, Palash Das, Alik Agarwala, Avik Agarwala, and Sudipta Sahana

A comparative analysis on deep learning approaches for sentiment analysis of food review data with class imbalance / Pritha Banerjee, Animesh Bhandari, Jayita Saha, and Chandreyee Chowdhury

A framework in generative AI for preventing suicidal thoughts / K. Surya and Rohit Kumar

ResNet50-based medicinal plant leaf classification / Asmita Manna, Ganesh Deshmukh, Vishwajeet Koshti, Shrikant Jadhao, Prathamesh Gole, and Aditya Gorane

An alarming threat of light pollution in Ahmedabad city : Efficient time-series forecasting framework / Saikat Mondal, Pragna Labani Sikdar, and Parag Kumar Guha Thakurta

PulmoConnect : An integrated mobile platform for enhanced doctor-patient communication at the Institute of Pulmocare and Research / Tiasha Mandal, Suravi Roy, Nilanjana Dutta Roy, Swagata Paul, and Partha Sarathi Bhattacharyya

An enhanced adaptive network intrusion detection system using hybrid approach / Pankaj Kumar Keserwani, Manish Kumar Singh, and Mahesh Chandra Govil

A deep ensemble species distribution model for multilabel species prediction using multimodal data / Dipanwita Saha and Kartick Chandra Mondal

An adaptive reinforcement learning framework for enhancing LLM-based medical diagnostics / Mostafijur Rahaman, Sounak Banerjee, Sarmistha Neogy, and Sarbani Roy

An efficient LSTM-XGBoost hybrid for demand forecasting in food supply chains / Prachetas Pathak, Subha Sankar Chakraborty, and Parag Kumar Guha Thakurta

Enhanced short-term wind power ramp forecasting : A multi-dataset validation approach / Leechita Gopalakrishnan and N. Sabiyath Fathima

Duplication fraudulent detection of tampered image using optimized CNN / Debjani Chakraborty, Biswajit Halder, Sourav Saha, and Nabanita Das

Unlocking transparency : Judicial clarity through explainable AI in the decision-making process / Ritwika Mukherjee, Tathagata Chatterjee, and Subhram Das

Sustainable agriculture through IoT and data-driven irrigation : Machine learning for soil moisture prediction / Rajkumar Bhandari and Subhasis Banerjee

Hybrid generative artificial intelligence model for medical image synthesis / Christine Susan Mathews and Kavitha Srinivasan

Safe Step : Real-time AI-enabled navigation system for the visually impaired using YOLOv11 / Harini Sri Babu and N. Sabiyath Fatima

On the study of resource-efficient sentiment analysis in social media : Leveraging emoji, hashtags, and random forest classifier / Shubhranshu Gorai, Rudrani Mukherjee, Mahrukh Hussain, Saibal Majumder, Chandan Bandyopadhyay, and Diganta Das

FinStock-Net : Financial integration of short and medium trends for stock price prediction / Anubhab Bhattacharya, Abir Chakraborty, Soham Mandal, Aritra Chatterjee, Utathya Aich, and Ram Sarkar

Forecasting market turbulence : A multi-model study using GARCH, random forest, and LSTM in the Indian stock market / J. Shashidhar Yadav, Shrinivas Kulkarni, B. S. Rajath, S. V. Pradeep Kumar, N. Priyadarshini, and H. M. Devananda

Efficient audio CODEC for IoT devices : Leveraging GANs, adaptive quantization, and arithmetic coding / Bibek Bikash Roy, Asish Debnath, Sushovan Das, and Uttam Kr. Mondal

Automated smart irrigation system using IoT-enabled autonomous vehicle with predictive analytics / Piyush Saha, Soumyadipta Das, Barnik Chakraborty, Srijita Chatterjee, and Raja Karmakar

Fine-tuning for code intelligence : Evaluating LLMs on custom programming benchmarks / Harsh Sahu, Munsifa Firdaus Khan Barbhuyan, Jay Kamavisdar, Ayushman Mishra, Rishabh Pandey, and Samarth Pratap Singh

FedTabTran : A TabTransformer-based FL approach for prediction of cardiovascular diseases / Sudip Hansda, Kousik Dasgupta, Prakash Banerjee, Debashis Das, Manju Biswas, and Sourav Banerjee

An AI-powered fake news detection system : Analyzing misinformation in digital media / Vishal Kumar, Rohan Raychaudhuri, Shibam Kundu, Ayan Kumar Mondal, Anirban Bhar, Suman Kumar Bhattacharyya, and Neepa Biswas

Multi-modal fake news detection on online social media using machine learning and explainable AI / Khushi Jain, Arunima Jaiswal, Reena, Jhalak Chahar, Smita Maurya, and Nitin Sachdeva

DCM-FL : Decentralized collaborative multi-client federated learning using layer-type aggregation and knowledge distillation methods / Dhinagaran Ramyaa, S. Kavitha, V. Mega, and G. S. Ashwini Parvatha

Unmasking the skies : Statistical and machine learning insights into the air quality shift during COVID-19 lockdowns in Indian metropolises / Shubhranshu Gorai, Suchandra Banerjee, Kinshuk Banerjee, Saibal Majumder, Chandan Bandyopadhyay, and Diganta Das

An exact rare rule mining approach using minimum item support constraint from heterogeneous data / Sudarsan Biswas, Diganta Saha, Rajat Pandit, and Neepa Biswas

Leveraging explainable AI for rainfall prediction and its impact on methane emissions from rice paddies using multivariate environmental data / Ankan Bhattacharya, Sarbani Palit, Fathima Nuzla Ismail, and Abira Sengupta

Land use/land cover classification with spectral indices and Otsu thresholding / Subhash Mukherjee, Sourav Das, Somnath Mukhopadhyay, Sunita Sarkar, Wangjam Niranjan Singh, and Ajoy Kumar Khan

Notes:

Includes bibliographical references and index

Online resource; title from PDF title page (Springer Nature Link, viewed May 28, 2026)

Other Format:

Print version CICBA (Conference) (7th : 2025 : Kolkata, India) Computational intelligence in communications and business analytics

ISBN:

9783032171849

3032171849

OCLC:

1592239101

Access Restriction:

Restricted for use by site license