Engineering Science and Technology: Innovations for the Future [Paperback]

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