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  • Advances in communication and applications = proceedings of ERCICA 2023.. Volume 2 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Advances in communication and applications/ edited by N. R. Shetty, N. H. Prasad, H. C. Nagaraj.
    Reminder of title: proceedings of ERCICA 2023.
    remainder title: ERCICA 2023
    other author: Shetty, N. R.
    corporate name: International Conference on Emerging Research in Computing, Information, Communication and Applications
    Published: Singapore :Springer Nature Singapore : : 2024.,
    Description: xiii, 597 p. :ill. (chiefly col.), digital ;24 cm.
    [NT 15003449]: Application of Artificial Neural Network for the Validation of Airfoil Efficiency -- Predicting Holding Days for Equity Gain Using Wavelets -- Intelligent Camera Based Eye Controlled Wheelchair System: Raspberry Pi and Advanced Algorithms -- TinyML based Human and Animal Movement Detection in Agriculture fields in India -- Social Distancing Monitoring for Real time -- Deep Learning Framework -- Designing Energy Routing Protocol with Energy Consumption Optimization in Cognitive Radio Networks -- Implementation of the AES Algorithm on FPGA -- Security System Using Pir Sensor -- A novel design and implementation of Full Adder Circuit using QCA and Qiskit -- GitHub Users Recommendations based on Repositories and User Profile -- Social Network Hashtag Analysis for the 75th Year of India's Independence -- A Survey Analysis on Dental Caries Detection From RVG Images Using Deep Learning -- IOT Based Smart Agriculture Monitoring System Using Web-Application -- An Analysis of the Effects of the COVID-19 Pandemic on Women's Anxiety and Depression Symptoms -- An Exploration of State of Art Approaches on Low-light Image Enhancement Techniques -- Skin Cancer Detection With Metadata Using Deep Learning Stratagies -- Detect and Alleviate DDOS Attacks in Cloud Environment -- Smart Grading System Using BI LSTM With Attention Mechanism -- Analysis and Prediction of Polycystic Ovarian Syndrome using ML Classifiers -- Classification of Breast Cancer using Computational Machine Learning Algorithms -- Credit Card Fraud Analysis using Machine Learning -- Machine Learning Approaches for Stroke Detection and SMOTE for Imbalanced Data -- Prediction of cost for medical care insurance by using Regression models -- Load frequency control using PID and Particle Swarm Optimization-ITAE -- Efficacy of Papworth Method to Improve Quality of Life and Exercise Tolerance in Asthma -- CNN approach for Plant Disease detection - Krishi Snehi -- Lung cancer Classification and Prediction based on Statistical Feature Selection Method Using Data Mining Techniques -- Optimal Solution for Distance Detectionusing Deep Learning Techniques on Embedded devices -- Cloud Data Security Using Hybrid Encryption With Blockchain -- Indian Image Dataset for the Image Forgery -- Detection of Pneumonia From Chest X-ray using Deep Learning -- Image Captioning using CNN-LSTM -- Future Sales Prediction Using Regression & Deep Learning Techniques -- Rider Face Mask Detection and Alerting using Machine Learning Techniques -- Methods for Improving User Position Accuracy in IRNSS(NavIC) Receiver -- Specular Reflection Removal Techniques in Cervix Image: A Comprehensive Review -- An Exploration of State of Art Approaches on Substrate Integrated Waveguide Technology based Antennas for Wireless Applications -- Daily Platelet Count Prediction in treating Dengue Patients using Deep Learning Algorithm -- Hybrid Data Science Approaches to Predict the Academic Performance of Students -- GAN-based Image Restoration and Colorization -- Novel Adaptive Learning Rate Back PropagationNeural Network-Based Online Rotor and Stator Resistance Estimator for Sensorless Induction Motor Drives -- An efficient KNN algorithm for the mental health performance assessment using k-means clustering -- Classification of Skin Cancer using Deep Learning.
    Contained By: Springer Nature eBook
    Subject: Computer science - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-99-7633-1
    ISBN: 9789819976331
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