Description

Book Synopsis

.- Machine learning applications in the diagnosis of leukemia: Current trends and future directions.

.- Intelligent Conversational Chatbots: Design Approaches & Techniques.

.- Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA Model.

.- Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India.

.- Patient's Condition Categorization Using Drug Reviews.

.- Systematic Review on Sustainable Healthcare Practices: A Bibliometric Approach.

.- Violence Detection through Deep Learning model in Surveillance.

.- Role of ChatGpt in Decision Making Across Industries: An Indian Perspective.

.- Identification of Splice Image Forgeries with Enhanced DenseNet201 and VGG19.

.- Identification of DR (Diabetic Retinopathy) from Messidor-2 Dataset Images using Various Deep and Machine Learning Techniques: A Comparative Analysis.

.- Access- Based Authentication of Health care Record in Block Chain: A Survey from Security Perspective.

.- Smart Entry Management using IoT and Number Plate Recognition for Organizational Security.

.- Enhancing Player Engagement through Gesture- Based Interactions in Tic-Tac-Toe.

.- Aggressive Bangla Text Detection Using Machine Learning and Deep Learning Algorithms.

.- A Comparative Evaluation of Machine Learning Techniques for Detecting Malicious Network Traffic.

.- Enhancing Cyclone Intensity Prediction through Deep Learning Analysis of Imagery Datasets.

.- Revolutionizing Road Safety: Machine Learning Approaches for Predicting Road Accident Severity.

.- Survey and Analysis of Machine Learning Methods for Parkinson's Disease Diagnosis .

.- Accelerated GPU-based Clustering, Classification and Regression using RAPIDS: A Comparative Study.

.- Talk to Hands: A Sign Language Solution for Speech Impaired People.

.- Deep Learning-Based Thyroid Cancer Detection and Segmentation Using Convolutional Neural Networks.

.- Early Autism Spectrum Disorder Prediction using Fine-Tuned Bernoulli's Naive Bayes Algorithm.

.- Heart Disease prediction model using machine learning techniques.

.- A review to enhance driving behavior through advanced drowsiness detection systems: Integrating deep learning and machine learning techniques.

.- Advancing Peer Review Integrity: Automated Reviewer Assignment Techniques with a Focus on Deep Learning Applications.

.- Automated Potato Disease Classification Using Deep Learning- A Comparative Analysis of Convolutional Neural Networks.

.- Enhancing Monkeypox Disease Detection Using Image Processing and Deep Learning.

.- Deep Learning Based Tomato Leaf Disease Prediction Approach.

.- Predicting Stock Market Trends: Machine Learning Approaches of a possible uptrend or downtrend.

.- A scientific classification-based survey of Intrusion Detection System using Machine Learning Approach.

Computation of Artificial Intelligence and Machine Learning

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    RRP £74.99 – you save £3.75 (5%)

    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Paperback by Amit Kumar Bairwa

    15 in stock


      View other formats and editions of Computation of Artificial Intelligence and Machine Learning by Amit Kumar Bairwa

      Publisher: Springer
      Publication Date: 23/10/2024
      ISBN13: 9783031714801, 978-3031714801
      ISBN10:

      Description

      Book Synopsis

      .- Machine learning applications in the diagnosis of leukemia: Current trends and future directions.

      .- Intelligent Conversational Chatbots: Design Approaches & Techniques.

      .- Intelligent Conversational Chatbots: History, Taxonomy, Classification with PRISMA Model.

      .- Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India.

      .- Patient's Condition Categorization Using Drug Reviews.

      .- Systematic Review on Sustainable Healthcare Practices: A Bibliometric Approach.

      .- Violence Detection through Deep Learning model in Surveillance.

      .- Role of ChatGpt in Decision Making Across Industries: An Indian Perspective.

      .- Identification of Splice Image Forgeries with Enhanced DenseNet201 and VGG19.

      .- Identification of DR (Diabetic Retinopathy) from Messidor-2 Dataset Images using Various Deep and Machine Learning Techniques: A Comparative Analysis.

      .- Access- Based Authentication of Health care Record in Block Chain: A Survey from Security Perspective.

      .- Smart Entry Management using IoT and Number Plate Recognition for Organizational Security.

      .- Enhancing Player Engagement through Gesture- Based Interactions in Tic-Tac-Toe.

      .- Aggressive Bangla Text Detection Using Machine Learning and Deep Learning Algorithms.

      .- A Comparative Evaluation of Machine Learning Techniques for Detecting Malicious Network Traffic.

      .- Enhancing Cyclone Intensity Prediction through Deep Learning Analysis of Imagery Datasets.

      .- Revolutionizing Road Safety: Machine Learning Approaches for Predicting Road Accident Severity.

      .- Survey and Analysis of Machine Learning Methods for Parkinson's Disease Diagnosis .

      .- Accelerated GPU-based Clustering, Classification and Regression using RAPIDS: A Comparative Study.

      .- Talk to Hands: A Sign Language Solution for Speech Impaired People.

      .- Deep Learning-Based Thyroid Cancer Detection and Segmentation Using Convolutional Neural Networks.

      .- Early Autism Spectrum Disorder Prediction using Fine-Tuned Bernoulli's Naive Bayes Algorithm.

      .- Heart Disease prediction model using machine learning techniques.

      .- A review to enhance driving behavior through advanced drowsiness detection systems: Integrating deep learning and machine learning techniques.

      .- Advancing Peer Review Integrity: Automated Reviewer Assignment Techniques with a Focus on Deep Learning Applications.

      .- Automated Potato Disease Classification Using Deep Learning- A Comparative Analysis of Convolutional Neural Networks.

      .- Enhancing Monkeypox Disease Detection Using Image Processing and Deep Learning.

      .- Deep Learning Based Tomato Leaf Disease Prediction Approach.

      .- Predicting Stock Market Trends: Machine Learning Approaches of a possible uptrend or downtrend.

      .- A scientific classification-based survey of Intrusion Detection System using Machine Learning Approach.

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