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[PDF][PDF] Sentiment Analysis with Tweets Behaviour in Twitter Streaming API.
Twitter is a radiant platform with a quick and effective technique to analyze users'
perceptions of activities on social media. Many researchers and industry experts show their …
perceptions of activities on social media. Many researchers and industry experts show their …
[HTML][HTML] Network traffic prediction incorporating prior knowledge for an intelligent network
Network traffic prediction is an important tool for the management and control of IoT, and
timely and accurate traffic prediction models play a crucial role in improving the IoT service …
timely and accurate traffic prediction models play a crucial role in improving the IoT service …
Federated Learning Strategies for Privacy-Preserving Machine Learning Models in Cloud Computing Environments
Federated learning presents a promising approach for preparing machine learning models
while protecting information protection in cloud computing situations. This investigation …
while protecting information protection in cloud computing situations. This investigation …
Clinical Text Analysis with Natural Language Processing: A BERT-based Approach
This research investigates the transformative potential of Natural Language Processing
(NLP) procedures, especially utilizing a BERT-based approach, for the comprehensive …
(NLP) procedures, especially utilizing a BERT-based approach, for the comprehensive …
Edge Computing Enabled Anomaly Detection in IoT Environments Using Federated Learning
This research explores the integration of edge computing and unified learning procedures
for peculiarity locations in Internet of Things (IoT) situations. Four inconsistency discovery …
for peculiarity locations in Internet of Things (IoT) situations. Four inconsistency discovery …
Predictive Maintenance in Smart Grids with Long Short-Term Memory Networks (LSTM)
This research explores the application of Long Short-Term Memory Systems (LSTMs) and
conventional machine learning calculations for prescient support in shrewd grids …
conventional machine learning calculations for prescient support in shrewd grids …
[HTML][HTML] Enhancing Driving Control via Speech Recognition Utilizing Influential Parameters in Deep Learning Techniques
This study investigates the enhancement of automated driving and command control
through speech recognition using a Deep Neural Network (DNN). The method depends on …
through speech recognition using a Deep Neural Network (DNN). The method depends on …
Real-Time Environmental Monitoring and Prediction in IoT Networks With Graph Neural Networks
This research investigates real-time natural checking and forecasting in IoT systems utilizing
Graph Neural Networks (GNNs). Leveraging a comprehensive dataset from IoT sensors …
Graph Neural Networks (GNNs). Leveraging a comprehensive dataset from IoT sensors …
Secure and efficient data fusion in iot systems using homomorphic encryption and machine learning
This research examines the secure and effective combination of information in Internet of
Things (IoT) frameworks utilizing homomorphic encryption and machine learning strategies …
Things (IoT) frameworks utilizing homomorphic encryption and machine learning strategies …
Real-Time Anomaly Detection in Large-Scale Sensor Networks using Isolation Forests
This research delves into real-time anomaly detection in enormous-scope sensor networks,
employing Isolation Forest, One-Class SVM, Local Outlier Factor, and Recursive Partitioning …
employing Isolation Forest, One-Class SVM, Local Outlier Factor, and Recursive Partitioning …