Description

Book Synopsis

AI for Healthcare.- Analysis of Feature Fusion in Deep Learning for Knee Osteoarthritis Severity Grade Classification.- Lung Cancer Detection and AnalysisUsing Machine Learning.- Machine Learning Based Depression Prediction Using Gradient Boosting Algorithm.- Patient Sickness Predictive System Using Chatbot.- EPC-CCM based Salience Equivalent Mechanism for Multimodal Medical Image.- Healthcare Effective Diabetes Disease Prediction Using AI Based Techniques.- Manual and Automated Web-Based Diagnosis and Interpretation of Mammograms of Breast Cancer and Robust Analysis.- Social Media and Stress Detection: A Machine Learning Approach.- AI for Business and Finance.- Computational Optimization of Image Feature Extraction Algorithms on PySpark and Hadoop.- Sentiment Analysis of Political Party Unveiling Insights from Big Data.- AI for Defense and Information Security.- Securing Web Applications with Improved Multifactor Authentication using Browser-Based Geolocation.- Human Activity Recognition Using Machine Learning.- Predictive analytics of injection attacks in web applications.- Comparative Study of Vision-based Deep Learning Techniques for Human Action Recognition in Videos.- Person Identification Using Improved Dilated Convolutional Network for Radar Signal Based Hand Gestures.- Multimodal iris, face and fingerprint Biometric Fusion for Enhanced Person Identification using Hybrid Deep Learning.- Adaptive Inertial Weight with Artificial Rabbit Optimization for Intrusion Detection System in Cyber Security.- Deepfake Video Detection: A CSP-Dencenet and LSTM based approach.- Neural Networks in Cybersecurity: Applications for Predictive Threat Modeling.- Weighted Extreme Gradient Boosting based Cybersecurity Risk Assessment in Investment Banking and Financial Sector.- Swarm Learning based Federated Learning for Data Privacy in Cloud Environment.- AI for Agriculture.- Detection of tomato leaf disease using convolutional neural network.- PBSTAM: A Proactive Borewell Safety Using Teachable Arduino Model.- Waste Management Using Geo Special Processing Data.- Tomato Leaf Disease Detection Using Convolutional Neural Network.- AI for Education.- Recognition of Characters on English Language Number Plate using CNN .- Artificial Intelligence Based Automatic Question Paper Generation using Natural Language Processing.- Exploring Information-Theoretic Measures for Feature Extraction in Image Processing: A Comprehensive Analysis and Future Directions.- Enhancing Text Classification in Natural Language Processing: A Comparative Study of Transformer Models and the Potential of Few-Shot Learning.- A modified NSGA-II algorithm using new crowding distance and chaotic OBL techniques applied to multi-object engineering design problems.

Applied Artificial Intelligence

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    A Paperback by Ravindra Hegadi

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      Publisher: Springer
      Publication Date: Publication Date: 10/17/2025
      ISBN13: 9783032007926, 978-3032007926
      ISBN10: 3032007925
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      AI for Healthcare.- Analysis of Feature Fusion in Deep Learning for Knee Osteoarthritis Severity Grade Classification.- Lung Cancer Detection and AnalysisUsing Machine Learning.- Machine Learning Based Depression Prediction Using Gradient Boosting Algorithm.- Patient Sickness Predictive System Using Chatbot.- EPC-CCM based Salience Equivalent Mechanism for Multimodal Medical Image.- Healthcare Effective Diabetes Disease Prediction Using AI Based Techniques.- Manual and Automated Web-Based Diagnosis and Interpretation of Mammograms of Breast Cancer and Robust Analysis.- Social Media and Stress Detection: A Machine Learning Approach.- AI for Business and Finance.- Computational Optimization of Image Feature Extraction Algorithms on PySpark and Hadoop.- Sentiment Analysis of Political Party Unveiling Insights from Big Data.- AI for Defense and Information Security.- Securing Web Applications with Improved Multifactor Authentication using Browser-Based Geolocation.- Human Activity Recognition Using Machine Learning.- Predictive analytics of injection attacks in web applications.- Comparative Study of Vision-based Deep Learning Techniques for Human Action Recognition in Videos.- Person Identification Using Improved Dilated Convolutional Network for Radar Signal Based Hand Gestures.- Multimodal iris, face and fingerprint Biometric Fusion for Enhanced Person Identification using Hybrid Deep Learning.- Adaptive Inertial Weight with Artificial Rabbit Optimization for Intrusion Detection System in Cyber Security.- Deepfake Video Detection: A CSP-Dencenet and LSTM based approach.- Neural Networks in Cybersecurity: Applications for Predictive Threat Modeling.- Weighted Extreme Gradient Boosting based Cybersecurity Risk Assessment in Investment Banking and Financial Sector.- Swarm Learning based Federated Learning for Data Privacy in Cloud Environment.- AI for Agriculture.- Detection of tomato leaf disease using convolutional neural network.- PBSTAM: A Proactive Borewell Safety Using Teachable Arduino Model.- Waste Management Using Geo Special Processing Data.- Tomato Leaf Disease Detection Using Convolutional Neural Network.- AI for Education.- Recognition of Characters on English Language Number Plate using CNN .- Artificial Intelligence Based Automatic Question Paper Generation using Natural Language Processing.- Exploring Information-Theoretic Measures for Feature Extraction in Image Processing: A Comprehensive Analysis and Future Directions.- Enhancing Text Classification in Natural Language Processing: A Comparative Study of Transformer Models and the Potential of Few-Shot Learning.- A modified NSGA-II algorithm using new crowding distance and chaotic OBL techniques applied to multi-object engineering design problems.

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