Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)
Mishra M; Pradhan M “Emerging Trends in Artificial Intelligence and Digital Systems (ET-AIDS-2026)” Newredmars Education , 2026, 1-186, ISBN: 978-93-93620-86-6Minati Mishra, Manaswini Pradhan
Contents
Book overview
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Cover Page
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Front DocumentsPreface | Acknowledgement | Foreword | Content
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CHAPTER 1: Decoding Autism in Adults: A Machine Learning PerspectiveRituparna 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 AISisira 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 UncertaintySantosh 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 SpaceMilan Kumar Pal and Minati Mishra (pp. 42–50)
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CHAPTER 5: A Robust CNN-LSTM Model for Lung Cancer Segmentation and ClassificationManaswini 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 IdentificationSwatisipra Das (pp. 69–79)
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CHAPTER 7: On Reduction of Catastrophic ForgettingAshutosh Mantry and Satchidananda Dehuri (pp. 80–89)
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CHAPTER 8: Deep Learning Framework for Offline Signature Forgery Detection Using CNNJayanti Rout (pp. 90–100)
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CHAPTER 9: Machine Learning-Based Software Effort EstimationBanaja Basini Rath and Sabyasachi Pattnaik (pp. 101–108)
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CHAPTER 10: Experimental Exploration of Quantum Cryptographic Key DistributionPrachi Subhadarsini Sahoo and Minati Mishra (pp. 109–117)
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CHAPTER 11: Reconceptualizing Trust in AIRoy S., Mohapatra S., Himadri Shekhar Das, Manaswini Pradhan (pp. 118–127)
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CHAPTER 12: Cloud Computing for IoT: Challenges and OpportunitiesAnita Swain et al. (pp. 128–147)
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CHAPTER 13: Advanced Multimodal Deepfake Detection SystemK. N. V. S. Kumaran et al. (pp. 148–163)
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CHAPTER 14: Ensemble Machine Learning for Crop Yield Prediction in OdishaAdwaitya Ranjan Nayak and Manaswini Pradhan (pp. 164–173)
