A hybrid spatiotemporal deep model based on CNN and LSTM for air pollution prediction
S Tsokov, M Lazarova, A Aleksieva-Petrova - Sustainability, 2022 - mdpi.com
Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …
on the environment. The air pollution forecast can provide important information to all …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
Transition-aware human activity recognition using an ensemble deep learning framework
Understanding human activities in daily life is of utmost importance, especially in the context
of personalized and adaptive ubiquitous learning. Although existing HAR systems perform …
of personalized and adaptive ubiquitous learning. Although existing HAR systems perform …
An Audio-Seismic Fusion Framework for Human Activity Recognition in an Outdoor Environment
Human activity recognition has a significant impact on people's daily lives. The need to infer
human activities is prominent in many human-centric applications, such as healthcare and …
human activities is prominent in many human-centric applications, such as healthcare and …
Computational Intelligence for Human Activity Recognition (HAR)
Thangapriya, NJ Goldena - Computational Intelligence: Theory …, 2024 - Wiley Online Library
Computational Intelligence (CI) is a set of computational approaches that address real‐
world problems. Usually, it involves solving complex problems in terms of natural processes …
world problems. Usually, it involves solving complex problems in terms of natural processes …
Bento Packaging Activity Recognition with Convolutional LSTM Using Autocorrelation Function and Majority Vote
Abstract This paper reports Bento Packaging Activity Recognition Challenge by team
“RitsBen” held in the International Conference on Activity and Behavior Computing (ABC …
“RitsBen” held in the International Conference on Activity and Behavior Computing (ABC …
[PDF][PDF] A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction. Sustainability 2022, 14, 5104
S Tsokov, M Lazarova, A Aleksieva-Petrova - 2022 - pdfs.semanticscholar.org
Nowadays, air pollution is an important problem with negative impacts on human health and
on the environment. The air pollution forecast can provide important information to all …
on the environment. The air pollution forecast can provide important information to all …
[PDF][PDF] A Novel Biologically Inspired Developmental Indirect Encoding for the Evolution of Neural Network Controllers for Autonomous Agents
S Tsokov, M Lazarova… - Proceedings of the …, 2021 - e-university.tu-sofia.bg
Evolutionary algorithms provide the ability to automatically design robot controllers, but their
wider use is hampered by a number of problems, including the difficulty of obtaining …
wider use is hampered by a number of problems, including the difficulty of obtaining …