Description

Book Synopsis

Tiny-YOLOv3 and SSD: Performance Evaluation for Human Detection in Crowded Images Under Various Conditions.- Optimizing Ultra-Wideband Antenna Design Using Deep Learning Models: A Comparative Study of DBN-ELM and PSO-DBN Approaches.- A Comprehensive Analysis and Recommendations for Fusion of Feature Vectors.- Adaptive Tactile Therapy system for children with Autism Spectrum Disorder.- Spam Detection: A Binary Classification Approach in Machine Learning.- Hospital Patient Monitoring and Fall Prediction System Using Medical Intranet of Things (MIoT).- Predicting Mortality Rates: A Regression Approach.- Deployment of MobileNet SSD Model for Real-time Autonomous Waste Detection and Collection.- Clustering analysis of high-tech startups using machine learning.- AI Enhanced Drug Recommendation System for Women.- Detection algorithms for fast moving targets in FMCW based Radar.- Improvement of Iconicity in Signed and Spoken Vocabulary through Convolutional Neural Network.- Predicting Diamond Prices Using Regression in Machine Learning.- Localizing and Classifying Kannada Texts Using a YOLO-Based Approach.- Improved DeHazing  using novel CycleGAN algorithm.- Classification of Heart Sound Signals using Spectral Features for Diagnosis of Heart Abnormality.- Classification of Marine Organisms Using  Deep Learning Method.- Enhanced Human Decision-Making Model for Iowa Gambling Task.- Iterative Sparse Inverse Covariance Estimation for Enhanced Skin Cancer Classification using VGG-19 with Batch Normalization.- Multi-modal based Sentiment Analysis Web Application using Flask and Deep Learning Models.- Enhancing Accuracy & Efficiency Analysis for Emotion detection & Prediction using Deep Learning model.- Devnagari Sign Language Recognition with LSTM-based RNN.- Convolutional Recurrent Neural Network Architecture for Firewall Anomaly Detection.- Enhancing Ear Detection for Biometric Systems Using YOLOv9.- Automatic Sporadic colonic hamartoma characterisation using Narrow Band Imaging Colonoscopy.- Deep Learning-Based Classification of Hyperplastic and Adenoma Polyps.- Deep Learning-Based Rainfall-Runoff Modeling for Flood Forecasting: Case study in Krishna River.- Physiological Signal Mapping: PPG-TO-ECG Conversion using BiLSTM.- Ensemble of Machine Learning and Deep Learning for Intraday Stock Trading Decision in Quantitative Finance.- Adaptive Graph Matching for Unsupervised Person Re-Identification in Video Surveillance.- ILRSEM: Design of an Incremental Learning Model for enhancing Resource Scheduling Efficiency of Mobile Edge Deployments.- Comparative analysis of performance of different Deep architectures for histopathology image segmentation to detect liver disease.- Finger Knuckle and Fingerprint based person authentication: Siamese Networks based approach.- Hypertension detection with Machine Learning classifiers using PPG signals.- Automated Diagnosis of Coronary Artery Disease and Myocardial Infarction Using Optimal Anti-symmetric Wavelet-Based Features.- Integrating Handcrafted Textural and Deep Learning Features for Improved Multi-Class Lung Disease Classification in Computed Tomography Imaging.- Xception-Based Face Anti-Spoofing Approach for Secure Biometric Authentication.- Gesture prediction using Surface-EMG signals.

Paradigm Shifts in Communication Embedded Systems Machine Learning and Signal Processing

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    A Paperback by Deep Gupta

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      View other formats and editions of Paradigm Shifts in Communication Embedded Systems Machine Learning and Signal Processing by Deep Gupta

      Publisher: Springer
      Publication Date: 22/07/2025
      ISBN13: 9783031905797, 978-3031905797
      ISBN10:
      Also in:
      Computing Machine learning

      Description

      Book Synopsis

      Tiny-YOLOv3 and SSD: Performance Evaluation for Human Detection in Crowded Images Under Various Conditions.- Optimizing Ultra-Wideband Antenna Design Using Deep Learning Models: A Comparative Study of DBN-ELM and PSO-DBN Approaches.- A Comprehensive Analysis and Recommendations for Fusion of Feature Vectors.- Adaptive Tactile Therapy system for children with Autism Spectrum Disorder.- Spam Detection: A Binary Classification Approach in Machine Learning.- Hospital Patient Monitoring and Fall Prediction System Using Medical Intranet of Things (MIoT).- Predicting Mortality Rates: A Regression Approach.- Deployment of MobileNet SSD Model for Real-time Autonomous Waste Detection and Collection.- Clustering analysis of high-tech startups using machine learning.- AI Enhanced Drug Recommendation System for Women.- Detection algorithms for fast moving targets in FMCW based Radar.- Improvement of Iconicity in Signed and Spoken Vocabulary through Convolutional Neural Network.- Predicting Diamond Prices Using Regression in Machine Learning.- Localizing and Classifying Kannada Texts Using a YOLO-Based Approach.- Improved DeHazing  using novel CycleGAN algorithm.- Classification of Heart Sound Signals using Spectral Features for Diagnosis of Heart Abnormality.- Classification of Marine Organisms Using  Deep Learning Method.- Enhanced Human Decision-Making Model for Iowa Gambling Task.- Iterative Sparse Inverse Covariance Estimation for Enhanced Skin Cancer Classification using VGG-19 with Batch Normalization.- Multi-modal based Sentiment Analysis Web Application using Flask and Deep Learning Models.- Enhancing Accuracy & Efficiency Analysis for Emotion detection & Prediction using Deep Learning model.- Devnagari Sign Language Recognition with LSTM-based RNN.- Convolutional Recurrent Neural Network Architecture for Firewall Anomaly Detection.- Enhancing Ear Detection for Biometric Systems Using YOLOv9.- Automatic Sporadic colonic hamartoma characterisation using Narrow Band Imaging Colonoscopy.- Deep Learning-Based Classification of Hyperplastic and Adenoma Polyps.- Deep Learning-Based Rainfall-Runoff Modeling for Flood Forecasting: Case study in Krishna River.- Physiological Signal Mapping: PPG-TO-ECG Conversion using BiLSTM.- Ensemble of Machine Learning and Deep Learning for Intraday Stock Trading Decision in Quantitative Finance.- Adaptive Graph Matching for Unsupervised Person Re-Identification in Video Surveillance.- ILRSEM: Design of an Incremental Learning Model for enhancing Resource Scheduling Efficiency of Mobile Edge Deployments.- Comparative analysis of performance of different Deep architectures for histopathology image segmentation to detect liver disease.- Finger Knuckle and Fingerprint based person authentication: Siamese Networks based approach.- Hypertension detection with Machine Learning classifiers using PPG signals.- Automated Diagnosis of Coronary Artery Disease and Myocardial Infarction Using Optimal Anti-symmetric Wavelet-Based Features.- Integrating Handcrafted Textural and Deep Learning Features for Improved Multi-Class Lung Disease Classification in Computed Tomography Imaging.- Xception-Based Face Anti-Spoofing Approach for Secure Biometric Authentication.- Gesture prediction using Surface-EMG signals.

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