Description

Book Synopsis

.- Recent Trends in Machine Learning and Deep Learning.

.- Exploring State-of-the-Art Approaches for Heart Disease Detection: A Detailed Analysis.

.- A Comprehensive Analysis of Recent Methodologies for Irregular Heart Beat Prediction.

.- Next-Gen Imaging: The Power of Hyperspectral Data and Autoencoders.

.- Redefining Vision Tasks: The Power of Transformers in Classification, Detection and Segmentation.

.- Harnessing Machine Learning for Feature Extraction in Plant Imaging and Analysis: A Review.

.- DeepFake Classification using Fine-Tuned Wave2Vec2.0.

.- Deepfake Detection: A Comprehensive Analysis of Modern Techniques.

.- Transfer Learning for Leaf Disease Image Classification via CNN Model.

.- Real-Time Detection of Household Objects Using Single-Shot with MobileNet.

.- Analysis using Hybrid technologies with Artificial Intelligence.

.- Investigating AI Explanations In Medical Diagnosis.

.- Assessing ChatGPT in Medical Domain.

.- Turbocharging Pull Request Reviews: Exploring Generative AI for Code Review.

.- Leveraging Depth Data and Parameter Sharing in Vision Transformers for Improved Face Anti-Spoofing.

.- Comparative Analysis of Multiple Embedding Models for Text Based Document Similarity.

.- Electricity Prediction using Machine Learning.

.- A Metric-Driven Comparative Study of Text Summarization Model: Insights from State-of-the- art LLMs.

.- Automatic Assessment of Program Code using CodeBERTScore: A Transformer-based Approach.

.- Comparative Analysis of Deep Learning Techniques on Tomato Plant Disease Detection.

.- Exploring New Horizons in Computer Vision Research.

.- Customer Churn Prediction Using Artificial Neural Networks.

.- Recent Advances in Denoising Techniques for Hyperspectral Image Enhancement.

.- Creating and Analyzing a Dictionary-Based Lexical Resource for Somali Homograph Disambiguation.

.- CodeBERT-BiGRU for Software Defect Prediction.

.- AccuRep: A Real-Time Android Application for Exercise Tracking Using MoveNet Pose Detection and Joint Angle Analysis.

.- Comparative Evaluation of 3D U-Net and SegResNet Architectures for Brain Tumor Segmentation Using Adam and Ranger21 Optimizers.

.- Advancements in Alzheimer's Disease Detection: A Comprehensive Review of Deep Learning Approaches in MRI Imaging.

.- Predictive Models in Biomedical Applications: A Machine Learning Approach.

.- Image Captioning Using Deep Learning Models: A Comprehensive Overview.

.- NLP-Driven Sentiment Analysis for Fake News Identification: The Responsive Truth.

Artificial Intelligence and Speech Technology

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    £104.49

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    RRP £109.99 – you save £5.50 (5%)

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

    A Paperback by Arun Sharma

    15 in stock


      View other formats and editions of Artificial Intelligence and Speech Technology by Arun Sharma

      Publisher: Springer
      Publication Date: 29/05/2025
      ISBN13: 9783031913396, 978-3031913396
      ISBN10:

      Description

      Book Synopsis

      .- Recent Trends in Machine Learning and Deep Learning.

      .- Exploring State-of-the-Art Approaches for Heart Disease Detection: A Detailed Analysis.

      .- A Comprehensive Analysis of Recent Methodologies for Irregular Heart Beat Prediction.

      .- Next-Gen Imaging: The Power of Hyperspectral Data and Autoencoders.

      .- Redefining Vision Tasks: The Power of Transformers in Classification, Detection and Segmentation.

      .- Harnessing Machine Learning for Feature Extraction in Plant Imaging and Analysis: A Review.

      .- DeepFake Classification using Fine-Tuned Wave2Vec2.0.

      .- Deepfake Detection: A Comprehensive Analysis of Modern Techniques.

      .- Transfer Learning for Leaf Disease Image Classification via CNN Model.

      .- Real-Time Detection of Household Objects Using Single-Shot with MobileNet.

      .- Analysis using Hybrid technologies with Artificial Intelligence.

      .- Investigating AI Explanations In Medical Diagnosis.

      .- Assessing ChatGPT in Medical Domain.

      .- Turbocharging Pull Request Reviews: Exploring Generative AI for Code Review.

      .- Leveraging Depth Data and Parameter Sharing in Vision Transformers for Improved Face Anti-Spoofing.

      .- Comparative Analysis of Multiple Embedding Models for Text Based Document Similarity.

      .- Electricity Prediction using Machine Learning.

      .- A Metric-Driven Comparative Study of Text Summarization Model: Insights from State-of-the- art LLMs.

      .- Automatic Assessment of Program Code using CodeBERTScore: A Transformer-based Approach.

      .- Comparative Analysis of Deep Learning Techniques on Tomato Plant Disease Detection.

      .- Exploring New Horizons in Computer Vision Research.

      .- Customer Churn Prediction Using Artificial Neural Networks.

      .- Recent Advances in Denoising Techniques for Hyperspectral Image Enhancement.

      .- Creating and Analyzing a Dictionary-Based Lexical Resource for Somali Homograph Disambiguation.

      .- CodeBERT-BiGRU for Software Defect Prediction.

      .- AccuRep: A Real-Time Android Application for Exercise Tracking Using MoveNet Pose Detection and Joint Angle Analysis.

      .- Comparative Evaluation of 3D U-Net and SegResNet Architectures for Brain Tumor Segmentation Using Adam and Ranger21 Optimizers.

      .- Advancements in Alzheimer's Disease Detection: A Comprehensive Review of Deep Learning Approaches in MRI Imaging.

      .- Predictive Models in Biomedical Applications: A Machine Learning Approach.

      .- Image Captioning Using Deep Learning Models: A Comprehensive Overview.

      .- NLP-Driven Sentiment Analysis for Fake News Identification: The Responsive Truth.

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