Engineering Science and Technology: Innovations for the Future

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

• 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 detectionChapter 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 languageChapter 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