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  • Proceedings of International Conference on Information Technology and Intelligence: ICITI 2024, Volume 2

    Proceedings of International Conference on Information Technology and Intelligence by Sharma, Harish; Chakravorty, Antorweep;

    ICITI 2024, Volume 2

    Series: Lecture Notes in Networks and Systems; 1341;

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      • Publisher's listprice EUR 267.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        110 941 Ft (105 658 Ft + 5% VAT)
      • Discount 12% (cc. 13 313 Ft off)
      • Discounted price 97 628 Ft (92 979 Ft + 5% VAT)

    110 941 Ft

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    Product details:

    • Publisher Springer Nature Singapore
    • Date of Publication 24 October 2025
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819651252
    • Binding Paperback
    • No. of pages355 pages
    • Size 235x155 mm
    • Language English
    • Illustrations XV, 355 p. 145 illus., 119 illus. in color. Illustrations, black & white
    • 700

    Categories

    Long description:

    This book features selected papers from the International Conference on Information Technology and Intelligence (ITI 2024), organized by Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar, India, during October 2024. The book is a collection of the state-of-the art research work in the cutting-edge technologies. This would provide an opportunity to gather scientific research work related to the artificial intelligence, data science and applications, cybersecurity, internet of things (IOT), cloud computing, information retrieval and knowledge management.

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    Table of Contents:

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    Chapter 1: Hybrid Support Vector Machine Model with Harris Hawks Optimization is a Successive Tool for Flood Prediction: A Case Study.- Chapter 2:Enhancing Location Privacy through Context-Aware Multiple Plausible Trajectories.- Chapter 3:Enhancement of Brain Tumor MR Images with a Fusion.- of Unsharp Masking and CLAHE for Segmentation using a Modified U-Net Model.- Chapter 4:Ocular Disease Diagnosis using ConvolutionalNeural Networks Optimized by Genetic Particle Swarm Optimization.- Chapter 5:Multimodal PCOS Identification using XGBoost and VGG19 of CNN.- Chapter 6:Optimizing the Performance of Naïve Bayesian Classification using RELSUn, a Bi-Stage Feature Selection Algorithm.- Chapter 7:Real-Time State-of-Charge (SOC) Prediction and Battery Optimisation with ML Algorithms.- Chapter 8:The Smart Detection of Ovarian Cancer in Complex Medical Images using Deep Learning.- Chapter 9:Optimized Agricultural Plant Classification by Leaves using VGG-19 and VGG-16 Convolutional Neural Networks.- Chapter 10:HopeWVBL: Improving Automatic Hope Speech Detection using Word Embedding and Bidirectional LSTM.- Chapter 11:Rice Crop Disease Classification using Fourier Transform.- Chapter 12:A Novel Approach for Identification of Information Defamation using Sarcasm Features.- Chapter 13:Enhancing Image Quality in Medical Imaging and Satellite Imagery using SRCNN.- Chapter 14:A Comprehensive Survey on Advancements in Machine Learning for Enhancing Network Attack Detection.- Chapter 15:A Temporal and Spatial Analysis of Seasonal Normalized Difference Vegetation Index of Varanasi District (India) using Google Earth Engine.- Chapter 16:Integrating Simple Temporal Attention for Improved Video Summarization.- Chapter 17:Lie Detection using Facial Expressions and Speech Analysis.- Chapter 18:Fine-Tuning LLMs for Risk Assessment in Indian Employment Contracts.- Chapter 19:Improved Data Analytics using Deep Learning Algorithm in Internet of Things for Crop Yield Prediction.- Chapter 20:Enhanced Obstructive Sleep Apnea Management using Deep Radial Basis Function for Accurate Prediction and Efficient Data Processing for Internet of Things.- Chapter 21:Cloud ERP vs. On-Premise SAP: A Comparative Study of Efficiency and Scalability in Large Enterprises.- Chapter 22:Enhancing Classification of Imbalanced Data using Diffusion Process.- Chapter 23:Rider Re-Route Suggestions using Demand Forecasting Based on Passenger Routes.- Chapter 24:Integrating AI with SAP: A New Frontier for Predictive Analytics in Enterprise Resource Planning (ERP).

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