Description

Book Synopsis

.- Artificial Intelligence and Data Analytics.

.- A Novel Revolutionizing Medical Surgery Procedures Using Mixed Reality.

.- Data Mining-based Classification Algorithms for Predicting Mental Health.

.- Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot.

.- Abnormal Behaviour Detection in Surveillance Videos.

.- ISAApp Image based Smart Attendance Application.

.- A Self-Learning AI-based Information Leak Protection System.

.- Deep Learning.

.- Enhancing Abnormal Object Detection in Camera Based Systems through Computer Vision and Deep Learning Techniques.

.- Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN.

.- Diagnosis of Parkinson's disease using Machine Learning and Deep Learning Techniques.

.- A Survey on Deep Learning Based Human Activity Recognition System.

.- A Deep Learning Approach for Non - Invasive Body Mass Index Calculation.

.- Early-Stage Detection of Alzheimer's Disease Using MRI Scans with Deep Learning.

.- Penguin Search Optimization with Deep Learning based Cybersecurity Malware Spectrogram Image Classification.

.- Detection and Classification of Skin Disease Using CNN.

.- Estimation of Above Ground Biomass Using Machine Learning and Deep Learning Algorithms: A Review.

.- URL Phishing Detection using Deep Learning and Machine Learning Techniques.

.- Enhanced Disease Recognition and Classification in Black Gram Plant Leaves using Deep learning.

.- Ensemble Deep Learning Approach for Identification of DDOS Attack.

.- ROCLT : Enhanced Text classifier for Sentiment on Imbalanced Multiclass Tweet Data using Hybrid Deep Learning Techniques.

.- Computer Vision to Animal Footprint Classification Based on Deep Learning Model.

.- Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model.

.- Face Detection and Recognition for Criminal Identification System using Deep Learning.

.- Automated Essay Grading System for IELTS using Bi-LSTM.

.- Automized Quick Prediction of Skin Cancer Diagnosis by Enhanced Deep Convolutional Neural Network.

.- Clustering based Demand Prediction using Long ShortTerm Memory (LSTM) in Retail Supply Chains.

.- Early Detection of Diabetic Retinopathy using Deep Convolutional Neural Network.

Advances in Artificial Intelligence and Machine Learning in Big Data Processing

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    £64.99

    Includes FREE delivery

    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by R. Geetha

    15 in stock


      View other formats and editions of Advances in Artificial Intelligence and Machine Learning in Big Data Processing by R. Geetha

      Publisher: Springer
      Publication Date: 01/10/2024
      ISBN13: 9783031730641, 978-3031730641
      ISBN10:

      Description

      Book Synopsis

      .- Artificial Intelligence and Data Analytics.

      .- A Novel Revolutionizing Medical Surgery Procedures Using Mixed Reality.

      .- Data Mining-based Classification Algorithms for Predicting Mental Health.

      .- Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot.

      .- Abnormal Behaviour Detection in Surveillance Videos.

      .- ISAApp Image based Smart Attendance Application.

      .- A Self-Learning AI-based Information Leak Protection System.

      .- Deep Learning.

      .- Enhancing Abnormal Object Detection in Camera Based Systems through Computer Vision and Deep Learning Techniques.

      .- Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN.

      .- Diagnosis of Parkinson's disease using Machine Learning and Deep Learning Techniques.

      .- A Survey on Deep Learning Based Human Activity Recognition System.

      .- A Deep Learning Approach for Non - Invasive Body Mass Index Calculation.

      .- Early-Stage Detection of Alzheimer's Disease Using MRI Scans with Deep Learning.

      .- Penguin Search Optimization with Deep Learning based Cybersecurity Malware Spectrogram Image Classification.

      .- Detection and Classification of Skin Disease Using CNN.

      .- Estimation of Above Ground Biomass Using Machine Learning and Deep Learning Algorithms: A Review.

      .- URL Phishing Detection using Deep Learning and Machine Learning Techniques.

      .- Enhanced Disease Recognition and Classification in Black Gram Plant Leaves using Deep learning.

      .- Ensemble Deep Learning Approach for Identification of DDOS Attack.

      .- ROCLT : Enhanced Text classifier for Sentiment on Imbalanced Multiclass Tweet Data using Hybrid Deep Learning Techniques.

      .- Computer Vision to Animal Footprint Classification Based on Deep Learning Model.

      .- Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model.

      .- Face Detection and Recognition for Criminal Identification System using Deep Learning.

      .- Automated Essay Grading System for IELTS using Bi-LSTM.

      .- Automized Quick Prediction of Skin Cancer Diagnosis by Enhanced Deep Convolutional Neural Network.

      .- Clustering based Demand Prediction using Long ShortTerm Memory (LSTM) in Retail Supply Chains.

      .- Early Detection of Diabetic Retinopathy using Deep Convolutional Neural Network.

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