Data Science & Exploration in Artificial Intelligence

Proceedings of the First International Conference On Data Science & Exploration in Artificial Intelligence (CODE-AI 2024) Bangalore, India, 3rd- 4th July, 2024 (Volume 1)

Gururaj H L, Francesco Flammini, Shreyas J

• Publisher: A A Balkema
• Year: 2025
• eBook ISBN: 9781040303634
• Edition: 0
• Topic: Computer Science
• Subtopic: Information Technology
• Index: Computer Science

The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications.

It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields.

This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Editor Biographies
• Scientific Committee
• Organising Committee
• Machine learning approach for vowel based word compounding in Sanskrit
• A comprehensive literature survey on wearable situational and tactical awareness kit
• Integrated crop recommendation
• A survey: Identification and classification of plant diseases using intelligence approaches
• Deep learning-aided channel estimation for DCSK-based MIMO-STBC systems
• A survey on cervical cancer detection using intelligent approaches
• Emotional quotient analysis of tweets using deep learning techniques
• Capsule network with bert model for labelling the sentence embedding in word corpus
• Vulgar post detection using deep learning in facebook post (meta)
• Fake Indian currency detection
• A survey of adversarial attack and defence methods for deep learning models
• Preserve the medical data using secure partially homomorphic encryption with blockchain technology in smart healthcare
• Hybrid attention with transformer network for segmenting the brain tumor from BRATS 2020 images
• Behavior based approach for malware detection using machine learning
• Transparency in legal AI: Pioneering explainable NLP for enhanced judgement prediction
• Evaluating the performance of various filters in noise reduction for skin cancer images
• Cuisine compass: Enhancing access to culinary knowledge
• Developing an online/offline educational application to the students in rural areas
• A robust framework for accurate stock price forecasting: Integrating ARIMA and LSTM models
• Predicting Parkinson's via speech: Hybrid deep learning with TSOA model
• Review on social media and internet addiction using data-science & IoT
• Enhancing network security with eBPF-based firewall and machine learning
• An efficient LSTM based depression detection model from social media
• A machine learning approach for brain tumor classification
• Support vector machine empowered Ryu controller for enhanced multimedia QoS in a realistic software defined vehicular networks
• Advances in skin cancer detection and classification: A comprehensive review
• Tomato leaf disease classification using transfer learning
• Parametric comparison for breast cancer detection using machine learning techniques for mammogram imaging
• Efficient load balancing and energy-aware DRL-based routing protocol for IoT network
• Machine learning approaches for detecting zero day intrusion attacks
• Decrypting ransomware: Harnessing machine learning approaches to identify cyber threats & interpretation using LIME & SHAP kernel
• Exoplanet prediction through time-stamped and flux data with machine learning classifiers and interpretation using LIME and SHAP
• Decoding mental states: Comprehensive EEG analysis with ML algorithms
• Evolution of NLP using RNN, LSTM, BERT
• Improved lung cancer prognosis via hyperparameter tuning on machine learning classification algorithms
• Cardiovascular disease detection and implementation using machine learning techniques
• Revolutionizing neurological alertness assessment: Machine learning and explainable AI insights from EEG signal analysis
• Application of image segmentation for physical defect detection
• Evolution in prostate cancer diagnostics: Traversing the deep learning view
• Conversion of lip to speech and text synthesis using Nvidia Riva
• Enhancing quora content: Bidirectional encoder representations from transformers based similarity analysis in question pairs
• Text data analysis and sentiment classification of COVID-19 vaccine tweets
• Comparative analysis of different classifiers for attention deficit hyperactivity disorder detection
• Toxic text comment detection using learning models and POS tagging and BERT techniques
• Predictive modeling of mental health disorders using ensemble learning techniques: A data-driven approach
• Demystifying cloud computing: An overview of architecture, service models, benefits, and challenges
• Robust deep learning based underwater object detection approach
• Automated no parking vehicle detection system
• Exploring current technologies and testing protocols for assistive devices for visually impaired: A survey
• Machine learning based approach to identify illegal fishing
• DVMNet: Detection of sugarcane leaf disease using ensemble of convolutional neural network classifiers
• Towards early disease detection of mango leaf using deep learning
• Three-dimensional (3-D) objects classification by means of phase-only digital holographic information using deep learning
• Exploring Indian public health using AIML
• Improving intrusion detection by utilizing adaptive boosting based ensemble classifier
• RONI and TRIM based defense methods for federated learning driven backdoor attacks
• Profecta - A smart logistics system
• Digital modernization of land records using ethereum blockchain
• Privacy preserving machine learning using homomorphic encryption
• Intelligent transportation system for green corridors using LLMs
• African Vulture optimization based deep learning technique for efficient network slicing and efficient AI-Assisted network optimization
• Stroke detection using CNN and LIME explainability
• Proposing a novel hybrid maintenance policy
• Advancing diabetic retinopathy staging diagnosis with neural network
• Decentralised student voting systems leveraging blockchain technology
• An efficient soft computing approach for crop supply chain and cost analysis
• StylSync: A mobile application development for fashion industry hub
• A novel approach: RGB architecture for Bloom's Taxonomy classification
• A design of IoT based secure smart lab
• Identification and resolution of Anaphora in Marathi text: Hybrid approach
• Risk-aware resource allocation in C-V2X using deep reinforcement learning
• Integrating artificial intelligence techniques in agricultural robotics: Revolutionizing the field of agriculture
• A cluster-based congestion avoidance technique using the A* and priority-queue heuristic technique
• Crop classification analysis using machine learning algorithms
• Machine learning approach for precision fertilization in the paddy farming
• A comprehensive review of computer vision technology in driver monitoring system
• Smart water balancing system for cultivated lands
• A deep learning approach for underwater feature extraction
• Leveraging stock prediction using news reports
• Temporal mapping of crop land changes using Google Earth engine
• Author index