Advancements in Amorphous Oxides For Electrocatalytic Carbon Dioxide Reduction by Youcai Meng, Junyang Ding, Yifan Liu, Guangzhi Hu, Yanhong Feng, Yinghong Wu, Xijun Liu

Get full text

Predictive channel scheduling algorithm between macro base station and micro base station group by Yinghai XIE, Ruohe YAO, Bin WU

Subjects: “…stationary stochastic process…”
Get full text

A Parallel Attribute Reduction Method Based on Classification by Deguang Li, Zhanyou Cui

“…Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute reduction processing, the method makes the relative positive domain which needs to be calculated repeatedly independent, and the independent relative positive domain calculation could be processed in parallel; thus, attribute reduction could be handled in parallel based on this classification method. …”
Get full text

Photo-/Electrocatalytic Reduction of CO2 Based on Ferroelectrics by Rui Wei, Shun Li, Andy Li, Yuan-Hua Lin

Get full text

The using nonlinear frequency signal for reduction the losses of the detection by G. Z. Akselrod, K. A. Elagina

Get full text

Prediction of payment discipline using the Markov chain – case studies of Visegrad Four by Anna Siekelova, Maria Kovacova, George Lazaroiu, Katarina Valaskova

Get full text

Performance Comparison of Basic Pesticide Residue Prediction Models in Domestic Agricultural Environments by Hyun-Geoun Park, Sang-Ik Suh, Bum-Seok Lee, Hyo-Sub Lee, Seo Jin Ki

Subjects: Get full text

Reduction of microbiological contamination of poultry feed by electrophysical method by Borotov Atkham, Allanazarov Akmal, Baratov Dilshod, Murodov Xamidulla, Isayev Oybek, Tsyganko E.N.

“…Microwave treatment resulted in a significant reduction in WMB and WBC counts in all feed types tested. …”
Get full text

Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…It is noteworthy that ensemble methods such as boosted trees and Gaussian process regression models exhibit promising predictive performance, with low root mean square error (RMSE) and high R-squared values. …”
Get full text

A Strong Noise Reduction Network for Seismic Records by Tong Shen, Xuan Jiang, Wenzheng Rong, Lei Xu, Xianguo Tuo, Guili Peng

“…Noise reduction is a critical step in seismic data processing. …”
Get full text

Tunnel composting Optimisation using polynomial models with moisture and density control for electrical conductivity stabilisation by Tiago Santos, Isabel Bentes, Carlos Afonso Teixeira

Subjects: Get full text

Municipal Waste Characterization and Reduction Potential in Singaraja City by Anak Agung Mas Untari, I Made Wahyu Wijaya, I GD Yudha Partama, Kailas Deoram Ahire

“…Singaraja City can benefit from initiatives such as plastic reduction programmes, glass recycling, and hazardous waste management to achieve sustainable waste practices. …”
Get full text

Ozone Pollution in China Affected by Climate Change in a Carbon Neutral Future as Predicted by a Process‐Based Interpretable Machine Learning Method by Huimin Li, Yang Yang, Hang Su, Hailong Wang, Pinya Wang, Hong Liao

“…In this study, near‐surface O3 concentrations in China in 2030 and 2060 are predicted using the process‐based interpretable Extreme Gradient Boosting (XGBoost) model integrated with multi‐source data. …”
Get full text

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach by Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

“…These results highlight the utility of natural language processing–based approaches for predicting and managing ADR.…”
Get full text

GPU-Accelerated Fock Matrix Computation with Efficient Reduction by Satoki Tsuji, Yasuaki Ito, Haruto Fujii, Nobuya Yokogawa, Kanta Suzuki, Koji Nakano, Victor Parque, Akihiko Kasagi

Get full text

Construction of a Prediction Model for Energy Consumption in Urban Rail Transit Operations Using a Bottom–Up Approach by Boyu Chen, Ye Lin

“…This process yielded five traction energy consumption prediction models corresponding to different network scales as well as one non-traction comprehensive energy consumption prediction model. …”
Get full text

Models, systems, networks in economics, engineering, nature and society by M.I. Krevskiy, A.S. Bozhday

Subjects: “…process мining…”

Numerical Evaluation of the Vibration Reduction Index for Structural Joints by Jaime RAMIS, Enrique SEGOVIA, Jesus ALBA, Jesus CARBAJO, Luıs GODINHO

“…The numerical results obtained making use of this process are then compared with those evaluated using the EN 12354 standard vibration reduction index concept. …”
Get full text

Influence of high Andean grasslands on landslide reduction in Peru by Albert Franco Cerna-Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobatón-Tarazona, Wensty Saenz-Corrales, Casiano Aguirre-Escalante, Peter Coaguila-Rodriguez, Manuel Reategui-Inga

“…This research aims to establish and predict the influence of high Andean grasslands on the annual occurrence of landslides. …”
Get full text

TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…The methodology uses an ensemble of temporal dynamic models to provide uncertainty estimates in the prediction. This work focuses on the dimensionality reduction step of the ROPE development process and addresses three limitations of the proof‐of‐concept: (a) extending the altitude upper boundary from 450 km to nearly 1000 km, (b) employing deep learning for nonlinear dimensionality reduction over principal component analysis (PCA) for improved performance during storm periods, and (c) maintaining the spatial resolution of the physical TIE‐GCM model, without down‐sampling, to preserve the spatial scales and variations. …”
Get full text