Description

Book Synopsis

.- Image Processing, Classification, and Segmentation.

.- Image Classification of Peach Leaves Using a Siamese Neural Network.

.- Pancreas segmentation using SRGAN combined with U-Net neural network.

.- Using artificial intelligence and X-ray images to train and predict COVID-19 and Pneumonia: Tool for diagnosis and treatment.

.- Region of interest features and classification of MRI brain lesions.

.- Deep Learning-Based Leukemia Diagnosis from Bone Marrow Images.

.- Breast thermographic image augmentation using Generative Adversarial Networks (GANs).

.- Evaluating Histopathological Cancer Detection: A Comparative Analysis of CNN Architectures for Tumor Detection in Lymph Node Pathology.

.- ViTSigat: Early black Sigatoka detection in banana plants using Vision Transformer.

.- Automatic Parking Space Segmentation using K-means Clustering and Image Processing Techniques.

.- Artificial Intelligence and Machine Learning Applications. 

.- Neural Agents with Continual Learning Capacities.

.- Centinela: An intelligent system based on an integrated architecture for supporting scholars.

.- Optimizing Predictive Models in Healthcare Using Artificial Intelligence: A Comprehensive Approach with a COVID-19 Case Study.

.- Predictive Model Proposal in Telemetry using Machine Learning Techniques to anticipate Water Degradation in Aquaculture.

.- Evaluation of the use of artificial intelligence techniques in the mitigation of the broadcast storm problem in FANET networks.

.- Adaptation Dynamics of Galápagos Finches: Evolutionary Responses to Climate Variation Explored through Machine Learning.

.- Incident Alert Priority Levels Classification in Command and Control Centre using Word Embedding Techniques.

.- Physics Informed Neural Networks and Gaussian Processes-Hamiltonian Monte Carlo to solve Ordinary Differential Equations.

.- IoT, Embedded Systems, and Applications in Healthcare and Industrial Environments.

.- Pre-processing of the Text of ECU 911 Emergency calls.

.- Secure BLE Communication between Android Devices and Embedded Systems for IoT Applications.

.- Modeling and control of a Peltier thermoelectric system applying a multi-objective optimization approach.

.- Wearable device for acquiring biomechanical variables applied to the analysis of occupational health risks in industrial environments.

.- Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle under Controlled Operating Conditions.

.- Evaluation of an intelligent educational toy-game proto-type for toddlers' motor stimulation and learning.

.- Changes in academic assessment due to the use of artificial intelligence.

Information and Communication Technologies

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    £64.99

    Includes FREE delivery

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

    A Paperback by Santiago Berrezueta-Guzman

    15 in stock


      View other formats and editions of Information and Communication Technologies by Santiago Berrezueta-Guzman

      Publisher: Springer
      Publication Date: 29/10/2024
      ISBN13: 9783031754302, 978-3031754302
      ISBN10:

      Description

      Book Synopsis

      .- Image Processing, Classification, and Segmentation.

      .- Image Classification of Peach Leaves Using a Siamese Neural Network.

      .- Pancreas segmentation using SRGAN combined with U-Net neural network.

      .- Using artificial intelligence and X-ray images to train and predict COVID-19 and Pneumonia: Tool for diagnosis and treatment.

      .- Region of interest features and classification of MRI brain lesions.

      .- Deep Learning-Based Leukemia Diagnosis from Bone Marrow Images.

      .- Breast thermographic image augmentation using Generative Adversarial Networks (GANs).

      .- Evaluating Histopathological Cancer Detection: A Comparative Analysis of CNN Architectures for Tumor Detection in Lymph Node Pathology.

      .- ViTSigat: Early black Sigatoka detection in banana plants using Vision Transformer.

      .- Automatic Parking Space Segmentation using K-means Clustering and Image Processing Techniques.

      .- Artificial Intelligence and Machine Learning Applications. 

      .- Neural Agents with Continual Learning Capacities.

      .- Centinela: An intelligent system based on an integrated architecture for supporting scholars.

      .- Optimizing Predictive Models in Healthcare Using Artificial Intelligence: A Comprehensive Approach with a COVID-19 Case Study.

      .- Predictive Model Proposal in Telemetry using Machine Learning Techniques to anticipate Water Degradation in Aquaculture.

      .- Evaluation of the use of artificial intelligence techniques in the mitigation of the broadcast storm problem in FANET networks.

      .- Adaptation Dynamics of Galápagos Finches: Evolutionary Responses to Climate Variation Explored through Machine Learning.

      .- Incident Alert Priority Levels Classification in Command and Control Centre using Word Embedding Techniques.

      .- Physics Informed Neural Networks and Gaussian Processes-Hamiltonian Monte Carlo to solve Ordinary Differential Equations.

      .- IoT, Embedded Systems, and Applications in Healthcare and Industrial Environments.

      .- Pre-processing of the Text of ECU 911 Emergency calls.

      .- Secure BLE Communication between Android Devices and Embedded Systems for IoT Applications.

      .- Modeling and control of a Peltier thermoelectric system applying a multi-objective optimization approach.

      .- Wearable device for acquiring biomechanical variables applied to the analysis of occupational health risks in industrial environments.

      .- Spectral Analysis of Powertrain Vibration in a Hybrid Vehicle under Controlled Operating Conditions.

      .- Evaluation of an intelligent educational toy-game proto-type for toddlers' motor stimulation and learning.

      .- Changes in academic assessment due to the use of artificial intelligence.

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