Chemical Engineering Journal | ScienceDirect. com by Elsevier The (CEJ) is an international, peer-reviewed research journal dedicated to publishing high-quality, original, and novel contributions across all areas of chemical engineering The journal provides a forum for fundamental research, interpretative reviews, and discussions of emerging developments in chemical engineering CEJ encourages manuscripts that describe new theories and their practical
Water Research | Journal | ScienceDirect. com by Elsevier In association with the International Water Association Water Research has an open access companion journal Water Research X, sharing the same aims and scope and rigorous peer review Water Research publishes refereed, original research papers on all aspects of the science and technology of the … View full aims scope
Long-term missing wind data recovery using free access databases and . . . The conventional interpolation techniques hardly achieve the desired data recovery Therefore, a framework was proposed for long-term missing wind data recovery based on a deep neural network (DNN) utilizing a free access database (European Center for Medium-Range Weather Forecasts, ECMWF)
The Missing Data Recovery Method Based on Improved GAN Most existing data recovery methods require complete datasets for training, leading to substantial data and computational demands and limited generalization To address these limitations, this study proposes a missing data imputation model based on an improved Generative Adversarial Network (BAC-GAN)
Techno-economic analysis of a solar thermal-boosted organic Rankine . . . Although the initial investment costs and dependency on solar resources are potential drawbacks, the overall benefits of increased energy output, enhanced efficiency, and lower LCOE make the solar thermal boosted system a promising solution for optimizing waste heat recovery in data centers
Experimental study on waste heat recovery process in a water-cooled . . . In contrast, water-cooled data centers have the highest exhausted water temperature at the rack outlet, reaching 75 to 80 °C [4], indicating that water-cooled systems offer greater potential for waste heat recovery Researchers have extensively studied and implemented waste heat recovery techniques across various cooling systems in data centers
Localized anomaly detection and recovery of marine engine data to . . . In this research study SVD analysis is performed within data clusters for localized anomaly detection and missing data recovery While localized models can effectively capture the nonlinear dynamics of the vessel, they are more straightforward to interpret and analyze the results compared to complex DL-based models
Multi-dimensional imaging data recovery via minimizing the partial sum . . . The tensor, a multi-dimensional extension of the matrix, is an important data format and has been applied in lots of real-world applications, for example, the video data recovery [1], the hyperspectral data recovery and fusion [2], [3], the personalized web search [4], and seismic data reconstruction [5] Among these applications, how to accurately characterize and rationally utilize the inner
IRTF: A new tensor factorization for irregular multidimensional data . . . Consequently, data recovery techniques are required to enhance the quality of these observed data for subsequent tasks Real-world multidimensional data can be mathematically represented by the tensor [7], [8] In this paper, we specifically focus on third-order tensors