Mishra M; Pradhan M “Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)” Newredmars Education , 2026, 1-186, ISBN: 978-93-93620-86-6 

Advancements in Zoological Research - Book Details

Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)

Minati Mishra, Manaswini Pradhan (2026)
E-ISBN: 978-93-93620-49-1 |Print-ISBN :978-93-93620-86-6| DOI https://doi.org/10.28921/nrme.ETAIDS.2026
minatiminu@gmail.com


Publisher: Newredmars Education

Edition: Edited Book

Date of Publication: 09/01/2026

Rights: Get rights and content

About Author
Dr. Minati Mishra | Dr. Manaswini Pradhan .
Affiliations
1,2,Postgraduate Department of Computer Science ,Fakir Mohan University, Vyasa Vihar, Balasore, Odisha, India
Document
ISBN,Copyright,DOI, Indexing in Smritva, Google Book,EclassAtoZ

Abstract

The National Conference on “Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)” is a focused academic and industry oriented forum designed to explore how intelligent technologies are reshaping digital ecosystems across sectors. The conference aims to bring together researchers, academicians, industry professionals, innovators, and students to exchange ideas, share research findings, and discuss practical challenges in the rapidly evolving fields of artificial intelligence and digital systems..

Citation

Mishra M; Pradhan, M. Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026). Newredmars Education, 2026.

Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)

Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)

ISBN: 978-93-93620-49-1 | DOI: http://doi.org/:10.28921/nrme.ETAIDS.2026 | Newredmars Education (2026)
Book Cover
Cover Page
Front Documents
Preface | Acknowledgement | Foreword | Content .
PDF
CHAPTER - 1
Decoding Autism in Adults: A Machine Learning Perspective
Rituparna R. Chinnakonda and B. K. Tripathy . (pp. 1–15).
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CHAPTER - 2
Smart Life Monitor: An IoT Based Low-Cost Health Monitoring System Using Auto AI
Sisira Kumar Kapat and Satya Narayan Tripathy (pp. 15–30).
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CHAPTER - 3
Hybrid Symbolic-Neural Phrase Reconstruction for Odia Chitrakavya under OCR Uncertainty
Santosh Kumar Das and Swarupananda Bissoyi (pp. 31–41).
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CHAPTER - 4
Improved Q-Learning Based Path Planning of a Fixed Wing UAV in Constrained Space
Milan Kumar Pal and Minati Mishra. (pp. 42–50).
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CHAPTER - 5
A Robust Convolutional Neural Network-Based LSTM Model for Lung Cancer Segmentation and Classification
MManaswini Pradhan, Lalitendu Rout, and Pramod Kumar Rout (pp. 51–68.
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CHAPTER - 6
A Decentralized Verifiable Secret Key Sharing Framework with Cheater Identification Using Pedersen Commitments
Swatisipra Das. (pp. 69–79).
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CHAPTER - 7
On Reduction of Catastrophic Forgetting
Ashutosh Mantry and Satchidananda Dehuri (pp. 80–89).
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CHAPTER - 8
The A Deep Learning Framework for Offline Signature Forgery Detection Using CNN
Jayanti Rout. (pp. 90-100).
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CHAPTER - 9
Machine Learning-Based Software Effort Estimation Using Public Benchmark Datasets: A Comparative Study
Banaja Basini Rath and Sabyasachi Pattnaik. (pp. 101–108).
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CHAPTER - 10
An Experimental Exploration of Quantum Cryptographic Key Distribution Protocols Using Simulation-Based Evaluation
Prachi Subhadarsini Sahoo and Minati Mishra. (pp. 109–117).
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CHAPTER - 11
Reconceptualizing Trust in AI: Foundations, Measurement, and Trade-Offs in Trustworthy Systems
Roy, S., Mohapatra, S. Himadri Shekhar Das and Manaswini Pradhan. (pp. 118–127).
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CHAPTER - 12
Cloud Computing for IoT: Challenges and Opportunities
Anita Swain, Jibendu Kumar Mantri, Sonalika Nayak, and Prasanta Kumar Swain. (pp. 128–147).
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CHAPTER - 13
Advanced Multimodal Deepfake Detection System Using Deep Learning with Video and Audio Analysis in Django Framework
K. Naga Venkata Siva Kumaran, Kantu Vamsi Krishna, and Hemalatha S.. (pp. 148–163).
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CHAPTER - 14
A Validated Ensemble Machine Learning Approach for Predicting Crop Yield in Odisha
Adwaitya Ranjan Nayak and Manaswini Pradhan. (pp. 164–173).
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