Combined Minimum Spanning Tree and Particle Swarm Optimization for the Design of the Cable Layout in Offshore Wind Farms -- A Novel Framework to Perform Efficient Analysis of Animal Sciences Using Big Data -- Comparative Study on Challenges & Detection of Brain tumor using Machine Learning Algorithm -- Bio-Medical Scan Image Retrieval Using Higher Order Neural Networks -- Deep learning in Image signal processing for minimal method by using kernel DBN network -- Implementation and Performance Analysis of Various Models of PCNN for Medical Image Segmentation -- Exploring Intention to Use E-Government: the Role of Technology Acceptance Model with Self- Efficacy and System Quality -- Drone - An Assistive Device For Aquacare Monitoring -- Car damage detection and Cost Evaluation using MASK R-CNN -- Comparison of Multi-Dimensional Hyperspectral Image with SIFT Image Mosaic Methods for Mosaic Better Accuracy -- Big data background on the bank account for progress of income improvement on customers on cloud accounting -- Improving Content Delivery on User Behavior Using Data Analytics -- An Enhanced Cos-Neuro Bio-Inspired Approach for Document Clustering -- Analyzing DistilBERT for Sentiment Classification of Banking Financial News -- Predication of Dairy Milk Production using Machine Learning Techniques.

This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 - 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.