Engineering Science and Technology: Innovations for the Future
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Engineering Science and Technology: Innovations for the Future

Engineering Science and Technology: Innovations for the Future


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About the Book

The International Conference on Recent Innovations in Engineering Science & Technology (ICRIET-2025), hosted by KSIT Bengaluru, brought together researchers and experts from around the world to present 225 peer reviewed papers across four engineering domains. With keynote sessions on AI, energy harvesting, and sustainable manufacturing, the conference promoted interdisciplinary dialogue and cutting-edge innovation. It served as a dynamic platform for academic exchange, fostering collaboration between academia and industry. ICRIET-2025 stands as a testament to KSIT’s commitment to advancing research and technological progress.

Table of Contents:
Chapter 1 Deep learning techniques for judicial judgement system Chapter 2 Advancing cancer diagnosis: A machine learning approach for early detection and improved outcomes Chapter 3 Animatrix: Personalized multimodal content generation for advertising Chapter 4 Automated code validator with LLM-powered test case generation Chapter 5 FlowCast: A simple method for traffic prediction Chapter 6 Smart sericulture: Leveraging CNNs for silkworm disease detection Chapter 7 Quantum-enhanced stock market prediction: Integrating AI, sentiment analysis, and multimodal data fusion Chapter 8 Intelligent women’s safety protocol for automated risk detection Chapter 9 Performance analysis of classification algorithms to predict failures in IIoT devices Chapter 10 Leveraging generative adversarial networks (GANs) for deepfake Chapter 11 AI-driven urban resilience system: Tackling urban flooding, rescue optimisation, and heat island mitigation Chapter 12 Few-shot learning for behavioural biometrics: A personalised approach to anomaly detection with limited data Chapter 13 LSTM neural network-based Li-ion battery cycle forecast Chapter 14 Coco areca wellness CNN-based disease detection in coconut and arecanut crops Chapter 15 Artificially intelligent adaptive voice assistant for next-generation desktop automation desktop detection Chapter 16 Medilink: AI-powered virtual healthcare for brain tumour and eye disordedetection Chapter 17 LLM-based automated scoring and feedback for essays in the Marathi language Chapter 18 A blockchain-based web application for enhancing financial transparency in NGOs Chapter 19 IoT-based gamified learning model for visually impaired users Chapter 20 Real-time snake detection and alert system in agricultural fields using computer vision and IoT Chapter 21 Intelligent IoT-enabled hydroponics system using machine learning Chapter 22 IoT-integrated smart mirror for continuous health and wellness monitoring Chapter 23 Automatic vehicle emergency response and alert system using GPS and GSM Chapter 24 Smart IoT-enabled vending machine for medical and sanitary supplies Chapter 25 Revolutionising supply chains: An AI-driven approach to inventory management Chapter 26 Workload prediction in cloud computing: A machine learning-based approach Chapter 27 Smart traffic sign detection using deep learning for intelligent vehicle control Chapter 28 Developing a sustainable online ecosystem for second-hand accessories within a university community Chapter 29 AI-powered adaptive traffic light system Chapter 30 Predicting drug-target interactions using graph neural networks: A deep learning approach

About the Author :
Reeja S. R., Bore Gowda, Y. S. Rammohan, Ganesan Prabu Sankar, G. Jayalatha


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Product Details
  • ISBN-13: 9781041166818
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 280 mm
  • No of Pages: 432
  • ISBN-10: 1041166818
  • Publisher Date: 22 Oct 2025
  • Binding: Hardback
  • Language: English
  • Width: 210 mm


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