Description

Book Synopsis

.- Innovations in Precision Agriculture Techniques and Strategies for Enhancing Agriculture Production.
.- Transfer Learning Based Ensemble Models for Rice Leaf Disease Detection.
.- Chat Bot for Crop Yield Prediction and Recommendation through K Nearest Neighbor Algorithm Chat Bot for Crop Yield Prediction.
.- Analysis of Micro Bacteria Organism Classification by Using Convolution Neural Network With Improved Accuracy.
.- Crop Disease Recognition and Classification A Deep Dive into Machine Learning Techniques A Survey.
.- Identification Of Infectious Potato Using CNN.
.- Early Warning prediction system for agriculture using deep learning.
.- A Comparison of Different Deep Learning Models for Plant Leaf Disease Detection.
.- Identifying Paddy Crop Disease using Enhanced Deep Learning Technique.
.- Internet of Things Based Multiple Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone.
.- An Automatic Motor Control System for Smart Irrigation.
.- Classification and Prediction Analysis in Healthcare.
.- Eye Fundus Disease Classification Using Artificial Intelligence.
.- Deep Learning Based Multi Disease Detecting Model.
.- Intelligent Posture Monitoring System with Real Time Notifications using Media Pipe and Open CV.
.- Diabetes Prediction Using Deep Learning.
.- Efficient Information Extraction from Medical Records.
.- Decoding the Mind: Translating Human Thought with EEG Signals.
.- Detection of Thyroid Stages Classification using Convolutional Neural Network Techniques.
.- Evaluating Biglycan as a Biomarker in Breast Cancer Detection: A Custom CNN Architecture.
.- Early Diagnosis of Glaucoma and Diabetic Retinopathy using Fundus Images based on Ensemble Approach.
.- Ultrasound based Breast Cancer Segmentation and Classification with Deep Learning Techniques.
.- Advanced Techniques for Cancer Research with Multimodal Fusion and Deep Learning.
.- Comprehensive Assistive Blind Stick for Visually Impaired Individuals.
.- Brain o vision: Brain Tumor Detection.
.- Elderly Fall Detection Model for Patient Care Using Improvised CNN.
.- Animal welfare: Innovations in Diagnostics.
.- Detection of poultry diseases using ConvNeXt V2.
.- Unveiling the Potential of Audio Classification for Poultry Health Diagnosis: A Deep Learning Approach.
.- Feathered Diagnose Smart Disease Classification in Chicken with Deep Learning and MLOps.

Computing Technologies for Sustainable Development

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    £64.99

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

    A Paperback by Prasanna Devi Sivakumar

    15 in stock


      View other formats and editions of Computing Technologies for Sustainable Development by Prasanna Devi Sivakumar

      Publisher: Springer
      Publication Date: 04/03/2025
      ISBN13: 9783031823886, 978-3031823886
      ISBN10:

      Description

      Book Synopsis

      .- Innovations in Precision Agriculture Techniques and Strategies for Enhancing Agriculture Production.
      .- Transfer Learning Based Ensemble Models for Rice Leaf Disease Detection.
      .- Chat Bot for Crop Yield Prediction and Recommendation through K Nearest Neighbor Algorithm Chat Bot for Crop Yield Prediction.
      .- Analysis of Micro Bacteria Organism Classification by Using Convolution Neural Network With Improved Accuracy.
      .- Crop Disease Recognition and Classification A Deep Dive into Machine Learning Techniques A Survey.
      .- Identification Of Infectious Potato Using CNN.
      .- Early Warning prediction system for agriculture using deep learning.
      .- A Comparison of Different Deep Learning Models for Plant Leaf Disease Detection.
      .- Identifying Paddy Crop Disease using Enhanced Deep Learning Technique.
      .- Internet of Things Based Multiple Sensor Monitoring System for Soil Information Diagnosis Using a Smartphone.
      .- An Automatic Motor Control System for Smart Irrigation.
      .- Classification and Prediction Analysis in Healthcare.
      .- Eye Fundus Disease Classification Using Artificial Intelligence.
      .- Deep Learning Based Multi Disease Detecting Model.
      .- Intelligent Posture Monitoring System with Real Time Notifications using Media Pipe and Open CV.
      .- Diabetes Prediction Using Deep Learning.
      .- Efficient Information Extraction from Medical Records.
      .- Decoding the Mind: Translating Human Thought with EEG Signals.
      .- Detection of Thyroid Stages Classification using Convolutional Neural Network Techniques.
      .- Evaluating Biglycan as a Biomarker in Breast Cancer Detection: A Custom CNN Architecture.
      .- Early Diagnosis of Glaucoma and Diabetic Retinopathy using Fundus Images based on Ensemble Approach.
      .- Ultrasound based Breast Cancer Segmentation and Classification with Deep Learning Techniques.
      .- Advanced Techniques for Cancer Research with Multimodal Fusion and Deep Learning.
      .- Comprehensive Assistive Blind Stick for Visually Impaired Individuals.
      .- Brain o vision: Brain Tumor Detection.
      .- Elderly Fall Detection Model for Patient Care Using Improvised CNN.
      .- Animal welfare: Innovations in Diagnostics.
      .- Detection of poultry diseases using ConvNeXt V2.
      .- Unveiling the Potential of Audio Classification for Poultry Health Diagnosis: A Deep Learning Approach.
      .- Feathered Diagnose Smart Disease Classification in Chicken with Deep Learning and MLOps.

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