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 2)

Gururaj H L, Francesco Flammini, Shreyas J

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040303627
• 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
• Temporal graph network for the analysis of multi robot systems
• Development and validation of an algorithm-based choice of outcome measures for assessing motor developmental delay – A study protocol
• Urine biomarker profiling for enhanced urolithiasis risk prediction
• Autonomous path-finding system using Q-learning algorithm
• Securing healthcare insights: A deep dive into privacy preserving federated learning
• Implementation of RFID-based food serving robot
• A reinforcement learning approach in modelling basal ganglia circuitry – Functional and dysfunctional study
• Human emotion classification using facial thermal features in the presence of mask
• Software testing arcade
• Enhancing the sentiment analysis: Effectively recognizing positive and negative tweets
• Enhancing stability and efficiency in deep reinforcement learning agents
• Mutual funds NAV and investment suggestions using deep learning and NLP
• Enhancing model transparency: Integrating local interpretable model agnostic explanations and SHapley additive exPlanations for explainable artificial intelligence in Juvenile onset diabetes prediction
• Jailbreaks using non-standard unicode characters on large language models
• Intelligence swarm-based personalized cancer treatment optimization using health big data analytics
• Exploring the frontiers of autonomous robotics and AI with NVIDIA jetson nano
• Automatic detection and localization of oral cancer using faster R-CNN
• From risk to prediction: A comprehensive study of stroke incidence using machine learning models
• Automatic helmet detection and number plate recognition system using YOLO
• LLMHC: From “BERT to GPT-3”: Relative viewpoints on Large Language Models (LLM) in psychological well-being expectations
• Enhancing user experience with personalized movie assistance using NLP techniques
• A hybridized model for mental health detection using natural language processing
• Anomaly detection for natural disaster preparedness
• Exploring the genre-specific influence of acoustical attribute in music business analytics
• Exploring trust management across different network environments
• A critical review on blockchain based data auditing for cloud data security
• A pangenome graph-based approach for predicting Alzheimer's disease
• Multi-PDF GPT generative question and answering system powered by googlePalm2 and langchain
• Characterization and implementation of binarized neural network for resource constraint edge devices
• Wine quality prediction using artificial intelligence
• Rainfall prediction using machine learning algorithms
• ODH with V3A (on-demand highlight generation with video action and activity analysis)
• Handwritten character recognition using CNN
• Performance evaluation of employee attrition through intensive investigation with supervised machine learning algorithm
• A survey to address the cold start problem in recommendation systems
• Machine learning methods for ensuring transaction integrity in credit card systems: A comprehensive review
• Temporal analysis of Indian farmers’ protests on Twitter with comparative insights
• Novel deep learning technique to predict skin cancer
• Enhancing fraud detection in mobile payment systems: A comparative analysis of machine learning models
• Advancements in artificial intelligence for thyroid cancer detection
• A comprehensive assessment on phishing, smishing and vishing
• Enhancement of QoS aware energy efficient routing (QAEER) protocol for UAV based IoT networks
• A systematic review with case study on Question Answering System (QAS) using deep learning
• CrisisConnect: A blockchain-driven edge computing approach in mobile crowdsensing system
• Detection of anemia using ensemble model
• Future Fame: Pioneering student success using various regression models
• Transformative approaches to e-learning videos: Generative vs. extractive question answering for enhanced doubt clarification
• Augmented reality-based location discovery: Integration of unity IDE, Mapbox API, and ARcore framework for seamless pedestrian navigation
• Estimating a battery's State of Health (SoH): A hybrid LSTM-GRU predictive model approach
• Developing grid-scale energy storage solutions
• Gemini - 1.5 Pro model forvLeaf disease detection
• Optimizing content delivery in IoMT: Leveraging in-network caching with CDR
• Securing IoT: Designing a resilient probing route against sinkhole attacks
• An efficient approach to classify melanoma skin lesions using ensemble CNN model
• AgriFriend: A robust approach for crop recommendation system
• A survey: Performance analysis of deep learning models on tomato leaf disease detection
• Power generation using piezo electric effect
• Analysis of peak to average power ratio in OTFS waveform using hybrid PTS and clipping algorithm
• Implementation of Double Stage Energy Detection (DSEd) spectrum sensing algorithms for advanced waveforms
• Predicting analysis of heart attack risk using machine learning algorithms and deep neural networks
• Recommendations using residual network and deep learning embedding for rating prediction
• Survey on decentralized computing models for time sensitive applications
• GAN-based autoencoder for anomaly detection in SIoT
• Automated structure of 3D animation methodology to increase the data clustering
• Enhanced approximate topology generality and identity-related broadcast encryption methodology for improving the security
• Hybrid Bi-LSTM model for text-based fake news detection in social media
• Evolution of aircraft visual inspections: Conventional to AI-enabled methods
• SmartFarmo: A crop insurance guidance system powered by predictive crop yield modelling for precision agriculture
• Crowd analysis using deepSORT
• Enhanced deepfake video classification and detection: A ResNext-LSTM approach for improved accuracy
• DataHorbor WFH: Decoding remote work challenges with AWS analytics
• Efficient automated evaluation of answer scripts using LLMS, NLP, and deep learning
• Density-based traffic control system with priority for emergency vehicles using IoT and ML
• Sign language based virtual assistant for specially abled person: A HCI perspective
• Communi-aid: Empowering engagement and support through sentiment analysis
• Unveiling movie emotions: BERT-BiLSTM fusion and VADER models for enhanced sentiment analysis
• Crypto currency price prediction using LSTM2A-200 analysis for strategic investment moves
• Hash-based Message Authentication Code (HMAC) with efficient data transfer in blockchain
• Deep learning-based Bi-directional long short-term memory networks for prediction analysis of long-term tenal ailment
• Enhanced three-layered CNN for multiclass skin lesions classification
• Author index