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E-raamat: Engineering Science and Technology: Innovations for the Future [Taylor & Francis e-raamat]

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  • Formaat: 432 pages
  • Ilmumisaeg: 21-Oct-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003685876
  • Taylor & Francis e-raamat
  • Hind: 235,42 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 336,32 €
  • Säästad 30%
Engineering Science and Technology: Innovations for the Future
  • Formaat: 432 pages
  • Ilmumisaeg: 21-Oct-2025
  • Kirjastus: CRC Press
  • ISBN-13: 9781003685876

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.



The International Conference on Recent Innovations in Engineering Science & Technology (ICRIET-2025).

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