Badriyya B. Al-onazi¹, Najm Alotaibi², Jaber S. Alzahrani³, Hussain Alshahrani⁴, Mohamed Ahmed Elfaki⁴, Radwa Marzouk⁵, Mahmoud Othman⁶, Abdelwahed Motwakel^7,*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1537-1554, 2023, DOI:10.32604/cmc.2023.034196

Abstract Text classification or categorization is the procedure of automatically tagging a textual document with most related labels or classes. When the number of labels is limited to one, the task becomes single-label text categorization. The Arabic texts include unstructured information also like English texts, and that is understandable for machine learning (ML) techniques, the text is changed and demonstrated by numerical value. In recent times, the dominant method for natural language processing (NLP) tasks is recurrent neural network (RNN), in general, long short term memory (LSTM) and convolutional neural network (CNN). Deep learning (DL) models are currently presented for deriving… More >

Yue Hu¹, Lu-Wen Zhang^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010595

Abstract Liquid accretion control plays a key role across a wide range of industrial applications, such as anti-icing, power generation, sewage treatment, water desalination, and energy harvesting. In condensation system, durable dropwise condensation of saturated vapor for heat transfer and energy saving in extensive industrial applications. While numerous superhydrophobic surfaces can promote steam condensation, maintaining discrete microdroplets on surfaces without the formation of a flooded filmwise condensation at high subcooling remains challenging. Here, we report the development of carbon nanotube arrayembedded hierarchical composite surfaces that enable ultra-durable dropwise condensation under a wide range of subcooling temperatures (∆T_sub = 8 K–38 K),… More >

Yunyun Song¹, Xu Zhang¹, Jialei Yang¹, Zhongqiang Zhang^1,*, Guanggui Cheng¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09916

Abstract Although floating oil with large particle sizes can easily be separated from water by membrane separation methods, tiny oil droplets with tremendously small volume force and density gradient at oil-water interfaces within water lead to barriers of oil-water separation. Consequently, tiny oil droplets remain in the water, resulting in energy waste, environmental pollution and biological health hazard. Traditional super-wetting membranes with extremely small pore sizes were easily blocked during the oil-water separation process. Inspired by the cactus and rice leaf, we developed a superhydrophobic-superoleophilic surface with conical micro-arrays to realize ultrafast adsorption of tiny oil droplets within the water. The… More >

Hongqiong Zhang^1,2,#, Xu Wang^3,#, Zhaojing Qian⁴, Buchun Si^1,4,*, Kai Jin⁵, Tengfei Wang⁵

Journal of Renewable Materials, Vol.11, No.10, pp. 3647-3657, 2023, DOI:10.32604/jrm.2023.028438

Abstract Hydrochar prepared with four typical biowastes, pine wood, food waste, digested sewage sludge, and Chlorella were applied for the promotion of anaerobic digestion. The gas production and substrate composition were analyzed associated with the hydrochar characteristics. The results suggested that Chlorella hydrochar (C-C) showed the highest cumulative yield of methane (approximately 345 mL) with high total organic carbon (TOC) removal efficiency and low volatile fatty acids (VAFs) concentration. Especially, food waste hydrochar (F-C) showed a poor effect on anaerobic digestion and aroused 1.4–1.6 g/L accumulation of VAFs, in which the toxic components may account for the low efficiency. The C-C… More >

Abdullah A.A.A. Al-Rashed^a , Lioua Kolsi^b,d,*, K. Kalidasan^c , Chemseddine Maatki^d, Mohamed Naceur Borjini^d , Mohamed Aichouni^b, P. Rajesh Kanna^e

Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-10, 2017, DOI:10.5098/hmt.8.31

Abstract A finite volume based three dimensional numerical analysis is performed on the effect of angle of inclination of the external magnetic force on entropy generation due to natural convection inside the cubical cavity filled with CNT - water nanofluid. The governing equations are numerically solved by vorticity - vector potential formalism. The vertical walls of enclosure are differentially heated and the horizontal walls are adiabatic. The effect due to Rayleigh number (10³ ≤ Ra ≤ 10⁵), Hartmann number (0 ≤ Ha ≤ 100), angle of inclination of external magnetic field (0° ≤ α ≤ 90°) and volumetric fraction (0 ≤… More >

Jiaxing Sun¹, Lili Ji^1,*, Qianrui He¹, Ran Li¹, Xiaoyue Xia², Yaning Wang¹, Yi Yang², Lu Cai³, Jian Guo²

Journal of Renewable Materials, Vol.11, No.8, pp. 3227-3243, 2023, DOI:10.32604/jrm.2023.027160

Abstract

In this study, a novel absorpent (MSAR600°C) with a hydrophobic surface and hierarchical porous structure for the removal of kitchen oil was facilely fabricated from the macroalgae, laver (Porphyra haitanensis) by incorporating high-temperature carbonization and alkyl polyglucosides (APG) and rhamnolipid (RL) surfactants modification. The characterization results showed MSAR600°C possessed a louts-leaf-like papillae microstructure with high contact angle (137.5°), abundant porous structure with high specific surface area (23.4 m²/g), and various oxygen-containing functional groups (-OH, C=O, C-O). Batch adsorption experiments were conducted to investigate the effect of adsorption time, temperature, pH, and absorbent dose on kitchen oil adsorption performance. Then the… More > Graphic Abstract

Khalid M. O. Nahar¹, Ammar Almomani^2,3,*, Nahlah Shatnawi¹, Mohammad Alauthman⁴

Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2037-2057, 2023, DOI:10.32604/iasc.2023.038235

Abstract This study presents a novel and innovative approach to automatically translating Arabic Sign Language (ATSL) into spoken Arabic. The proposed solution utilizes a deep learning-based classification approach and the transfer learning technique to retrain 12 image recognition models. The image-based translation method maps sign language gestures to corresponding letters or words using distance measures and classification as a machine learning technique. The results show that the proposed model is more accurate and faster than traditional image-based models in classifying Arabic-language signs, with a translation accuracy of 93.7%. This research makes a significant contribution to the field of ATSL. It offers… More >

Sarab AlMuhaideb^*, Yasmeen AlNegheimish, Taif AlOmar, Reem AlSabti, Maha AlKathery, Ghala AlOlyyan

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 195-220, 2023, DOI:10.32604/cmc.2023.038368

Abstract Healthcare organizations rely on patients’ feedback and experiences to evaluate their performance and services, thereby allowing such organizations to improve inadequate services and address any shortcomings. According to the literature, social networks and particularly Twitter are effective platforms for gathering public opinions. Moreover, recent studies have used natural language processing to measure sentiments in text segments collected from Twitter to capture public opinions about various sectors, including healthcare. The present study aimed to analyze Arabic Twitter-based patient experience sentiments and to introduce an Arabic patient experience corpus. The authors collected 12,400 tweets from Arabic patients discussing patient experiences related to… More >

Yongde Luo, Jiang Jin^*, Hua Zhang^*

Journal of Renewable Materials, Vol.11, No.7, pp. 3143-3153, 2023, DOI:10.32604/jrm.2023.027396

Abstract A hybrid system combined with a non-contact membrane and bubbling absorption is proposed to capture CO₂ from flue gas. The non-contact way of membrane and liquid absorbent effectively avoids the reduction of gas diffusion flux through the membrane. High-porosity ceramic membranes in hybrid systems are used for gas-solid separation in fuel gas treatment. Due to the high content of H₂O and cement dust in the flue gas of the cement plant, the membrane is hydrophobically modified by polytetrafluoroethylene (PTFE) to improve its anti-water, anti-fouling, and self-cleaning performances. The results show that the diffusion flux of CO₂ through the membrane is… More >

Zijie Chen^a , Sanat Modak^a, Massoud Kaviany^a,* , Richard Bonner^b

Frontiers in Heat and Mass Transfer, Vol.14, pp. 1-11, 2020, DOI:10.5098/hmt.14.1

Abstract In dropwise condensation on vertical surface, droplets grow at nucleation sites, coalesce and reach the departing diameter. In biphilic surfaces, when the hydrophobic domain is small, the maximum droplet diameter is controlled by the shortest dimension where the droplets merge at the boundary. Through direct numerical simulations this size-effect heat transfer coefficient enhancement is calculated. Then the 1-D biphilic surface is optimized considering the size-dependent hydrophilic domain partial flooding (directly simulated as a liquid rivulet and using the capillary limit), the subcooling (heat flux) and condenser length effects. The predicted performance is in good agreement with the available experiments. More >