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Full Description
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.
Contents
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
Pradumn Kumar and Praveen Kumar Shukla
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
