Emerging Trends and Future Directions in Artificial Intelligence, Machine Learning, and Internet of Things Innovations

Khumukcham Robindro Singh, Nazrul Hoque, Arnab Kumar Maji, Sabyasachi Mondal, Jyoti Sekhar Banerjee, Siddhartha Bhattacharyya, Panagiotis Sarigiannidis

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040446553
• Topic: Technology & Engineering
• Subtopic: Computer Engineering
• Index: Technology & Engineering

The "North East India AI Summit: Unravelling Trends (NEIAIS 2025)" served as a vibrant platform for the exchange of cutting-edge ideas and research in the field of Artificial Intelligence, with a strong emphasis on both foundational theo?ries and real-world applications. The summit brought together experts, researchers, and enthusiasts to explore critical areas including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Smart Systems, IoT Security, Network Technology, and Artificial Intelligence in Healthcare and Biomedical Applications. Discussions also delved into emerging trends and computational techniques, highlighting the transformative potential of AI in addressing complex, real-world challenges. The conference received an overwhelming response, attracting more than 120 research paper submissions from various regions of India and abroad. After a rigorous review process, 55 high-quality papers were accepted, out of which over 44 papers were registered for presentation at the summit. By fostering interdisciplinary col?laboration and showcasing impactful innovations, NEIAIS 2025 aims to inspire sustained research, technological growth, and broader societal benefits.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Series page
• Dedication
• Contents
• List of Figures
• List of Tables
• Preface
• Editors Biography
• Advisory Committee
• Organizing Committee
• Technical Program Committee
• Manipur University
• 1 Leveraging machine learning techniques to analyse soil organic carbon dynamics in the Eastern Himalayan Region
• 2 Investigation into a suitable voice pathology detection and classification using glottal inverse filtering
• 3 A hybrid approach for accurate fish segmentation: integrating Vision Transformer and MobileNetV2
• 4 Predictive efficacy assessment of deep learning models for apple leaf disease detection and classification
• 5 An investigation of machine learning algorithms for lung disease detection
• 6 Beyond characters: a machine learning approach to password strength analysis
• 7 Comparative analysis of machine learning-based specific capacitance prediction and experimental validation of supercapacitive performance in cerium-based electrodes
• 8 Incremental learning using CART and Genetic Programming for handling dynamic training data
• 9 Exploring deep learning approaches for hate speech detection in Assamese social media text
• 10 Using sentiment analysis to enhance digital forensic evidence identification
• 11 Machine learning methods for improving stock price prediction accuracy
• 12 Effect of stop words in Assamese language for identifying toxic comments
• 13 Optimising low-resource Khasi NER through transfer learning
• 14 Localised detection of rice disease using YOLO 11: an advanced approach for precision agriculture
• 15 Assamese handwritten script segmentation using deep learning approach
• 16 Clustering of foods based on nutritional profile using principal component analysis and k-nearest neighbor classification
• 17 Estimating crop yields using machine learning
• 18 Detection of sensitive information using CRF in unstructured text
• 19 A home-based skill improvement tool utilising smartphone sensors
• 20 Offline handwritten character recognition of Manipuri Script using convolutional neural network (CNN) and vision transformer (ViT)
• 21 Denoising in Terahertz images
• 22 A novel ensemble rank aggregation feature selection algorithm for classification
• 23 Analysing the impact of Word2Vec on stance detection in low-resource languages: a case study on Manipuri editorial articles
• 24 Robust MRI brain tumour segmentation using integrated mean shift clustering and adaptive thresholding
• 25 Feature-driven classification of AI and human text: insights from traditional and neural models
• 26 A novel stacking ensemble machine learning approach for landslide susceptibility mapping
• 27 Advancements in network security threat detection systems for wireless sensor networks: a review of machine learning and deep learning techniques
• 28 Comparison of machine learning, ensemble learning, and deep learning model for predicting ovarian cancer: a data-driven study
• 29 Efficient crack classification through transfer learning with pre-trained convolutional neural networks
• 30 Enhancing medical imaging diagnostics with federated learning: overcoming data heterogeneity
• 31 A hybrid deep learning model for accurate brain tumour segmentation and classification using ResNet101 and U-Net
• 32 Evaluating machine learning models for precision disease prediction
• 33 Modelling stock prices using XGBoost, Prophet, and ARIMA: a comprehensive evaluation
• 34 Advancements in Sugarcane Disease Detection and Prediction
• 35 Impact of machine translation evaluation metrics on low resource languages
• 36 Artificial intelligence and entrepreneurship in the context of current socioeconomic growth in India – an examination of the literature
• 37 An extended SMOTE-based class balancing technique to improve classification accuracy on imbalanced datasets
• 38 AI-powered personalised learning and intelligent recommendation systems
• 39 Detection of diabetic retinopathy using deep-learning based image classification
• 40 In depth comparative analysis of the combine effect of ML models and feature selection methods in crop yield prediction
• 41 Evaluating LLMs and pre-trained models for text summarisation across diverse datasets
• 42 Breast cancer classification using machine learning and deep learning: a systematic review of WBCD-based research and future directions
• 43 Sentiment analysis on code-mixed data: a comprehensive, qualitative and quantitative literature survey
• 44 Advanced fraud detection in financial transaction using machine learning
• 45 Efficient detection of offensive social media comments in Assamese language using LSTM