[HTML][HTML] A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence

R Vempati, LD Sharma - Results in Engineering, 2023 - Elsevier
Abstract Brain-Computer Interaction (BCI) system intelligence has become more dependent
on electroencephalogram (EEG)-based emotion recognition because of the numerous …

[HTML][HTML] Environmental optimization of warm mix asphalt (WMA) design with recycled concrete aggregates (RCA) inclusion through artificial intelligence (AI) …

R Polo-Mendoza, G Martinez-Arguelles… - Results in …, 2023 - Elsevier
Abstract Warm Mix Asphalts (WMAs) are asphalt concretes produced at lower temperatures
than traditional Hot Mix Asphalts (HMAs). Nonetheless, the above is not enough to diminish …

Software risk prediction: systematic literature review on machine learning techniques

MH Mahmud, MTH Nayan, DMNA Ashir, MA Kabir - Applied Sciences, 2022 - mdpi.com
The Software Development Life Cycle (SDLC) includes the phases used to develop
software. During the phases of the SDLC, unexpected risks might arise due to a lack of …

[HTML][HTML] Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study

F Harrou, A Dairi, A Dorbane, Y Sun - Results in Engineering, 2024 - Elsevier
Accurate wind power prediction is critical for efficient grid management and the integration of
renewable energy sources into the power grid. This study presents an effective deep …

[HTML][HTML] Effect of climate change and urban heat islands on the deterioration of concrete roads

S Sen, H Li, L Khazanovich - Results in Engineering, 2022 - Elsevier
Concrete pavements constitute a relatively small portion of US roadways but carry a
disproportionately high volume of traffic. The potential deterioration in the long-term …

Developing a novel hybrid model based on deep neural networks and discrete wavelet transform algorithm for prediction of daily air temperature

R Ghasemlounia, A Gharehbaghi, F Ahmadi… - Air Quality, Atmosphere …, 2024 - Springer
The precise predicting of air temperature has a significant influence in many sectors such as
agriculture, industry, modeling environmental processes. In this work, to predict the mean …

Projection of climate variables by general circulation and deep learning model for Lahore, Pakistan

DT Nguyen, S Ashraf, M Le, M Ali - Ecological Informatics, 2023 - Elsevier
Climate change significantly impacts the hydrological cycle and environment. The key
parameters driving climate change for densely populated city of Lahore in Pakistan were …

[HTML][HTML] A novel deep learning architecture for distribution system topology identification with missing PMU measurements

Y Raghuvamsi, K Teeparthi, V Kosana - Results in Engineering, 2022 - Elsevier
With the increased penetration of distributed energy resources (DERs) in the distribution
networks, it is critical to accurately identify the topology in real time. However, the loss of …

[HTML][HTML] Design and realization of nano satellite cube for high precision atmosphere measurement

A Gaga, O Diouri, MO Jamil - Results in Engineering, 2022 - Elsevier
Typical nanosatellite missions are currently dedicated either to observing and measuring the
Earth's environment or to testing new technologies in the space environment. A nanosatellite …

Characteristics of spatial and temporal dynamics of vegetation and its response to climate extremes in ecologically fragile and climate change sensitive areas–A case …

J Zhang, Q Guan, Z Zhang, W Shao, E Zhang, T Kang… - Catena, 2024 - Elsevier
Climate extremes significantly affects vegetation dynamics, and understanding the
relationship between dryland vegetation and climate extremes is crucial for regional …