Yihan Sun^1,2, Lihua Chu³, Yudong Cheng^4,*, Fengxia Chi^1,2, Chenchen Zhang^1,2, Pengcheng Sun^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2171-2180, 2023, DOI:10.32604/fdmp.2023.026892

Abstract In general, acid aggregates are not used in combination with asphalt concrete because of their poor compatibility with the asphalt binder, which typically results in a scarce water stability of the concrete. In the present study, the feasibility of a new approach based on the combination of acid granite fine aggregate with alkaline limestone coarse aggregate and Portland cement filler has been assessed. The mineral and chemical compositions of these three materials have first been analyzed and compared. Then, the effect of different amounts of Portland cement (0%, 25%, 50%, 75% and 100% of the total filler by weight) on… More >

S. Rajalakshmi^1,*, S. Nalini², Ahmed Alkhayyat³, Rami Q. Malik⁴

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1673-1688, 2023, DOI:10.32604/csse.2023.034414

Abstract Remote sensing image (RSI) classifier roles a vital play in earth observation technology utilizing Remote sensing (RS) data are extremely exploited from both military and civil fields. More recently, as novel DL approaches develop, techniques for RSI classifiers with DL have attained important breakthroughs, providing a new opportunity for the research and development of RSI classifiers. This study introduces an Improved Slime Mould Optimization with a graph convolutional network for the hyperspectral remote sensing image classification (ISMOGCN-HRSC) model. The ISMOGCN-HRSC model majorly concentrates on identifying and classifying distinct kinds of RSIs. In the presented ISMOGCN-HRSC model, the synergic deep learning… More >

Jalal Khan¹, Sadiq Ullah^1,*, Usman Ali¹, Ladislau Matekovits^2,3,4, Farooq Ahmad Tahir⁵, Muhammad Inam Abbasi⁶

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1317-1330, 2023, DOI:10.32604/cmc.2023.029879

Abstract This work presents, design and specific absorption rate (SAR) analysis of a 37 GHz antenna, for 5^th Generation (5G) applications. The proposed antenna comprises of 4-elements of rectangular patch and an even distribution. The radiating element is composed of copper material supported by Rogers RT5880 substrate of thickness, 0.254 mm, dielectric constant (ε_r), 2.2, and loss tangent, 0.0009. The 4-elements array antenna is compact in size with a dimension of 8 mm × 20 mm in length and width. The radiating patch is excited with a 50 ohms connector i.e., K-type. The antenna resonates in the frequency band of 37 GHz, that covers the 5G applications. The antenna… More >

Zhao Yu^1,2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.6, pp. 1521-1534, 2023, DOI:10.32604/fdmp.2023.023296

Abstract Oil saturation is a critical parameter when designing oil field development plans. This study focuses on the change of oil saturation during water flooding. Particularly, a meter-level artificial model is used to conduct relevant experiments on the basis of similarity principles and taking into account the layer geological characteristics of the reservoir. The displacement experiment’s total recovery rate is 41.35%. The changes in the remaining oil saturation at a millimeter-scale are examined using medical spiral computer tomography principles. In all experimental stages, regions exists where the oil saturation decline is more than 10.0%. The shrinkage percentage is 20.70% in the… More >

Bao Rong Chang¹, Hsiu-Fen Tsai^2,*, Han-Lin Chou¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 107-134, 2023, DOI:10.32604/cmes.2023.024018

Abstract Our previous work has introduced the newly generated program using the code transformation model GPT-2, verifying the generated programming codes through simhash (SH) and longest common subsequence (LCS) algorithms. However, the entire code transformation process has encountered a time-consuming problem. Therefore, the objective of this study is to speed up the code transformation process significantly. This paper has proposed deep learning approaches for modifying SH using a variational simhash (VSH) algorithm and replacing LCS with a piecewise longest common subsequence (PLCS) algorithm to faster the verification process in the test phase. Besides the code transformation model GPT-2, this study has… More > Graphic Abstract

Suzanne Daher^*, Amar Benazzouk, Haïkel Ben Hamed, Thierry Langlet

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.5, pp. 1091-1113, 2023, DOI:10.32604/fdmp.2023.020348

Abstract This work describes in detail the experimental investigation of the physico-mechanical properties of nonstructural hemp concrete (usually used as insulating wall material) when the Air-lime based Tradial PF70 binder is partially replaced using Metakaolin. The objective is to reduce the amount of free Ca²⁺ ions in the binder as these are responsible for the degradation of vegetables particles and can therefore induce a loss of mechanical performances. In order to assess the effectiveness of pozzolanic reaction, amounts of 0%, 10%, and 20% vol. of Air-lime binder were replaced by the Metakaolin material, while testing the mechanical properties of concrete specimens… More >

Mahmoud Ragab^1,2,3,*, Maged Mostafa Mahmoud^4,5,6, Amer H. Asseri^2,7, Hani Choudhry^2,7, Haitham A. Yacoub⁸

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3279-3295, 2023, DOI:10.32604/cmc.2023.031037

Abstract Colorectal carcinoma (CRC) is one such dispersed cancer globally and also prominent one in causing cancer-based death. Conventionally, pathologists execute CRC diagnosis through visible scrutinizing under the microscope the resected tissue samples, stained and fixed through Haematoxylin and Eosin (H&E). The advancement of graphical processing systems has resulted in high potentiality for deep learning (DL) techniques in interpretating visual anatomy from high resolution medical images. This study develops a slime mould algorithm with deep transfer learning enabled colorectal cancer detection and classification (SMADTL-CCDC) algorithm. The presented SMADTL-CCDC technique intends to appropriately recognize the occurrence of colorectal cancer. To accomplish this,… More >

Hussain Alaaedi^*, Masoud Sabaei

Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 633-646, 2023, DOI:10.32604/iasc.2023.032462

Abstract Enabling high mobility applications in millimeter wave (mmWave) based systems opens up a slew of new possibilities, including vehicle communications in addition to wireless virtual/augmented reality. The narrow beam usage in addition to the millimeter waves sensitivity might block the coverage along with the reliability of the mobile links. In this research work, the improvement in the quality of experience faced by the user for multimedia-related applications over the millimeter-wave band is investigated. The high attenuation loss in high frequencies is compensated with a massive array structure named Multiple Input and Multiple Output (MIMO) which is utilized in a hyperdense… More >

Mohamed Amine Ouamri^1,2, Reem Alkanhel^3,*, Cedric Gueguen¹, Manal Abdullah Alohali⁴, Sherif S. M. Ghoneim⁵

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 453-467, 2023, DOI:10.32604/cmc.2023.031450

Abstract With the rapid development of emerging 5G and beyond (B5G), Unmanned Aerial Vehicles (UAVs) are increasingly important to improve the performance of dense cellular networks. As a conventional metric, coverage probability has been widely studied in communication systems due to the increasing density of users and complexity of the heterogeneous environment. In recent years, stochastic geometry has attracted more attention as a mathematical tool for modeling mobile network systems. In this paper, an analytical approach to the coverage probability analysis of UAV-assisted cellular networks with imperfect beam alignment has been proposed. An assumption was considered that all users are distributed… More >

Mike Lawrence

Journal of Renewable Materials, Vol.3, No.3, pp. 163-174, 2015, DOI:10.7569/JRM.2015.634105

Abstract The relative importance of embodied energy and operational energy on the environmental impact of construction are examined in this article. It highlights the fact that the targets set by the Kyoto Protocol are primarily being met by the reduction of in-use energy, and that the implications of that are that the energy embodied in buildings will increase in signifi cance from its current 17% level to 50% by 2050. The article describes how the use of bio-based renewable materials can make a signifi cant contribution to reducing not only the embodied energy of buildings by using the sequestration of CO2… More >