Unlocking Cloud Storage Efficiency with AI Innovation
Adopting these innovations, companies can optimize storage resources, cut costs, and ensure robust security, all while ...
Scientific Research Publishing12d
Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction ()
Pegkou Christofi, V. and Wang, X.D. (2024) Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction.
Certificate Programme in Data Science & Machine Learning: Gain expertise in AI-driven technologies to boost your career
Gain essential data science and machine learning skills with this certificate programme, advancing your career in AI-driven fields.
Armed robbery in Revesby4d
New SOC Model Merges Machine Learning, Kalman Filtering
Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, ...
EurekAlert!5d
A novel SOC estimation model: combining machine learning and Kalman filtering
Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, ...
IEEE10d
Joint Data Allocation and LSTM-Based Server Selection With Parallelized Federated Learning in LEO Satellite IoT Networks
Federated learning (FL) is implemented in LEO satellite IoT networks to preserve data privacy and facilitate machine learning (ML ... selection strategy based on long short-term memory (LSTM) with ...
Analytics Insight7d
NLP-Based Data Science Projects: Sentiment Analysis and Beyond
Natural Language Processing (NLP) is a cornerstone of modern data science, offering the ability to analyze and understand ...
Oil16d
ML, hybrid risk models predict stuck pipe
Three machine learning (ML) models incorporated either exclusively measurement ... Fuzzy C-Means, long short-term memory ...
GitHub9d
Human activity recognition using Recurrent Neural Nets(RNN), LSTM and Tensorflow on Smartphones
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model for end-to-end systems to predict basic human ...