Engineering Science and Technology: Innovations for the Future (eBook, ePUB)

Redaktion: S. R., Reeja; Jayalatha, G.; Prabu Sankar, Ganesan; Rammohan, Y. S.; Gowda, Bore

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 432
• Erscheinungstermin: 22. Oktober 2025
• Englisch
• ISBN-13: 9781040754979
• Artikelnr.: 75315425

Autorenporträt

Reeja S. R., Bore Gowda, Y. S. Rammohan, Ganesan Prabu Sankar, G. Jayalatha

Inhaltsangabe

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