Handbook of AI in Engineering Applications : Tools, Techniques, and Algorithms (Hardcover)

Section One: Integrating AI Tools, Techniques, and Algorithms. 1.A Comparative Analysis of Symbolic And Subsymbolic Approaches In Artificial Intelligence. 2. Revisiting the Impact of AI-Driven Feature Selection Approaches in Software Fault Prediction. 3. Advancing Depression Detection: Insights from Standard Datasets and Multimodal Approaches. 4. Machine Learning and Natural Language Processing Strategies for Fake News Detection: An Empirical Study. 5.?Exploring the Nexus of AI, the Metaverse and Quality of Life. 6.?A Literature Survey on AI-Driven Code-Mixed Text Analysis and Normalization. 7.?Reviewing Different Artificial Intelligence Algorithms For Sarcasm Detection. 8.?Advances in Automatic Question Generation by AI based Algorithms: A Review. 9.?Hands on Practices, Reflection on Data Wisdom with AI Principles: A Review. Section Two: Harnessing the Applications of AI. 10. FPGA? Accelerated Deep Learning Network For Liver Tumor Segmentation in 3D CT Images. 11. Deep Learning Enhanced Restaurant Recommendations: Leveraging Artificial Neural Networks. 12. AI-Driven Solutions for Career Counselling Based on the Personality of an?. 13. Exploration of Machine Learning Enabled Automated Crop-Disease Detection, Segmentation and Classification Techniques. 14. Digital Camouflage Generation by AI Based Methods: A Survey of Recent Techniques. 15. Plant Disease Detection Using Deep Learning Techniques: A Comprehensive Review and Comparative Analysis. 16. AI for disaster prediction and Management. 17. Investigation of Stress Among University Students using PSS and AI Based Analysis. 18. An Experimental Overview of Assessment of Authenticity of Face Recognition by AI Techniques in Smart Phones.