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Tilted-Mode All-Optical Diffractive Deep Neural Networks.
Micromachines (Basel)
December 2024
Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, China.
Diffractive deep neural networks (DNNs) typically adopt a densely cascaded arrangement of diffractive masks, leading to multiple reflections of diffracted light between adjacent masks, thereby affecting the network's inference capability. It is challenging to fully simulate this multiple-reflection phenomenon. To eliminate this phenomenon, we designed tilted-mode all-optical diffractive deep neural networks (T-DNNs) and proposed a theoretical model for diffraction propagation in the tilted mode.
View Article and Find Full Text PDFThe Microbial Diversity of Biological Moss Crust: Application in Saline-Alkali Soil Management.
Microb Ecol
December 2024
College of Chemistry and Chemical Engineering, Key Laboratory of Chemical Engineering and Technology of State Ethnic Affairs Commission, North Minzu University, Yinchuan, 750021, China.
Soil salinization poses a substantial threat to global food security, particularly under the influence of climate change, and is recognized as one of the most urgent challenges in land degradation. This study aims to elucidate the challenges associated with managing arid and semi-arid saline-alkali lands in China's Ningxia province and propose feasible solutions. To assess moss crust colonization, we measured changes in organic matter and chlorophyll levels.
View Article and Find Full Text PDFIntelligent Identification and Prediction of Roof Deterioration Areas Based on Measurements While Drilling.
Sensors (Basel)
November 2024
School of Energy and Mining Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
During roadway excavation, the presence of roof deterioration zones, such as layered spaces and weak interlayers, significantly affects the stability of the surrounding rock. To achieve timely and effective support for roadways, it is essential to utilize drilling measurement signals obtained during the construction of anchorage holes for the identification and prediction of these deterioration zones. This study systematically investigates the response characteristics of thrust, torque, and Y-direction vibration signals to different combinations of rock layers through theoretical analysis, laboratory experiments, ABAQUS dynamic numerical simulations, and field measurements.
View Article and Find Full Text PDFQuality Evaluation of New Types of Core Layers Based on Different Thicknesses of Veneers for Flooring Materials.
Materials (Basel)
November 2024
Institute of Wood Sciences and Furniture, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland.
Problems with the availability of raw materials on the Polish market have forced wood industry producers to search for new, previously unused species of wood that meet the functional requirements of the target products. Therefore, it is necessary to conduct research on products whose structure is different from the popular offerings on the market. The goal of this study was to analyze the influence of the thickness of Scots pine veneers, also with Alder interlayer variants, on Young's modulus and stiffness values of plywood-like composites dedicated to flooring applications regarding statistically based quality control of the products.
View Article and Find Full Text PDFA comprehensive review on MoSe nanostructures with an overview of machine learning techniques for supercapacitor applications.
RSC Adv
November 2024
Department of Physics, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education Manipal 576104 India
In the past few decades, supercapacitors (SCs) have emerged as good and reliable energy storage devices due to their impressive power density, better charge-discharge rates, and high cycling stability. The main components of a supercapacitor are its electrode design and composition. Many compositions are tested for electrode preparations, which can provide good performance.
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