紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Cognitive computing and cyber physical systems/ edited by Prakash Pareek, Nishu Gupta, M. J. C. S. Reis. |
其他題名: |
4th EAI International Conference, IC4S 2023, Bhimavaram, Andhra Pradesh, India, August 4-6, 2023 : proceedings. |
其他題名: |
IC4S 2023 |
其他作者: |
Pareek, Prakash. |
團體作者: |
EAI International Conference on Cognitive Computing and Cyber Physical Systems |
出版者: |
Cham :Springer Nature Switzerland : : 2024., |
面頁冊數: |
xx, 474 p. :ill. (chiefly col.), digital ;24 cm. |
內容註: |
Machine Learning and Its Applications -- Schizophrenia Identification through Deep Learning on Spectrogram Images -- An Optimized Ensemble Machine Learning Framework for Multi-Class Classification of Date Fruits by Integrating Feature Selection Techniques -- Harmonizing Insights: Python-based Data Analysis of Spotify's Musical Tapestry -- Comparative Study of Predicting Stock Index Using Deep Learning Models -- Enhancing Heart Disease Prediction through a Heterogeneous Ensemble DL Models -- IoT-based pesticide detection in fruits and vegetables using Hyperspectral Imaging and deep learning -- STATISTICAL ANALYSIS OF HEMATOLOGICAL PARAMETERS FOR PREDICTION OF SICKLE CELL DISEASE -- Optimized Route Planning and Precise Circle Detection in Unmanned Aerial Vehicle with Machine Learning -- DRL based multi-objective resource optimization technique in a multi-cloud environment -- Aspect Level Sentiment Analysis to extract valuable insight for Airline's customer Feedback and Reviews -- Drug Recommendations Using A Reviews And Sentiment Analysis By RNN -- Optimizing Real Estate Prediction - A Comparative Analysis of Ensemble and Regression Models -- ESTIMATION OF POWER CONSUMPTION PREDICTION OF ELECTRICITY USING MACHINE LEARNING -- Medical Plants Identification using Leaves Based on Convolutional Neural Networks -- An Efficient Real-time NIDS using Machine-learning methods -- Maixdock Based Driver Drowsiness Detection System Using CNN -- A Novel Approach to Visualize Arrhythmia Classification Using 1D CNN -- Exploring Machine Learning Models for Solar Energy Output Forecasting -- The survival analysis of mental fatigue utilizing the estimator of Kaplan-Meier and Nelson-Aalen -- Cyber Security and Signal Processing -- EEMS - EXAMINING THE ENVIRONMENT OF THE JOB METAVERSE SCHEDULING FOR DATA SECURITY -- Text Analysis Based Human Resource Productivity Profiling -- A novel technique for analyzing the sentiment of social media posts using deep learning techniques -- Comparative Analysis of Pretrained Models for Speech Enhancement in Noisy Environments -- Use of Generative Adversarial Network (GAN) under insufficient data -- Unraveling the Techniques for Speaker Diarization -- LUT-Based Area-Optimized Accurate Multiplier Design for signal processing applications -- Speaker Recognition using Convolutional Autoencoder in Mismatch Condition with Small Dataset in noisy background -- Face Emotion Recognition based on images using the Haar-Cascade front end approach -- TextRank-based Keyword Extraction for Constructing a Domain-Specific Dictionary -- Creating a Protected Virtual Learning Space: A Comprehensive Strategy for Security and User Experience in Online Education -- LIGHTWEIGHT CRYPTOGRAPHY MODEL FOR OVERHEAD AND DELAY REDUCTION IN THE NETWORK -- Modelling the Data Object Routing in Data Aware Networking -- Image Processing -- Glaucoma Stage Classification using Image empirical mode decomposition (IEMD) and Deep Learning from Fundus Images -- Implementation and Performance Evaluation of Asymmetrical Encryption scheme for Lossless Compressed Grayscale Images -- Optimization of Single Image Dehazing based on Stationary Wavelet Transform -- A Chest X-Ray Image Based Model for Classification and Detection of Diseases -- Enlighten GAN for super resolution images from survelillance car -- Brain Tumor Classification through MR Imaging: A Comparative Analysis -- An Efficient Denoising of Medical Images Through Convolutional Neural Network. |
Contained By: |
Springer Nature eBook |
標題: |
Soft computing - Congresses. - |
電子資源: |
https://doi.org/10.1007/978-3-031-48888-7 |
ISBN: |
9783031488887 |