Basanta Kumar Swain¹, Mohammad Zubair Khan^2,*, Chiranji Lal Chowdhary³, Abdullah Alsaeedi⁴

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2337-2349, 2023, DOI:10.32604/csse.2023.036192 - 09 February 2023

Abstract This research is focused on a highly effective and untapped feature called gammatone frequency cepstral coefficients (GFCC) for the detection of COVID-19 by using the nature-inspired meta-heuristic algorithm of deer hunting optimization and artificial neural network (DHO-ANN). The noisy crowdsourced cough datasets were collected from the public domain. This research work claimed that the GFCC yielded better results in terms of COVID-19 detection as compared to the widely used Mel-frequency cepstral coefficient in noisy crowdsourced speech corpora. The proposed algorithm's performance for detecting COVID-19 disease is rigorously validated using statistical measures, F1 score, confusion matrix, More >

Settawit Poochaya^1,*, Peerapong Uthansakul¹, Monthippa Uthansakul¹, Patikorn Anchuen², Kontorn Thammakul³, Arfat Ahmad Khan⁴, Niwat Punanwarakorn⁵, Pech Sirivoratum⁵, Aranya Kaewkrad⁵, Panrawee Kanpan⁵, Apichart Wantamee⁵

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5845-5862, 2022, DOI:10.32604/cmc.2022.031162 - 28 July 2022

Abstract The number of accidents in the campus of Suranaree University of Technology (SUT) has increased due to increasing number of personal vehicles. In this paper, we focus on the development of public transportation system using Intelligent Transportation System (ITS) along with the limitation of personal vehicles using sharing economy model. The SUT Smart Transit is utilized as a major public transportation system, while MoreSai@SUT (electric motorcycle services) is a minor public transportation system in this work. They are called Multi-Mode Transportation system as a combination. Moreover, a Vehicle to Network (V2N) is used for developing… More >

Muhammad Faheem Saleem¹, Syed Muhammad Adnan Shah¹, Tahira Nazir¹, Awais Mehmood¹, Marriam Nawaz¹, Muhammad Attique Khan², Seifedine Kadry³, Arnab Majumdar⁴, Orawit Thinnukool^5,*

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5985-5997, 2022, DOI:10.32604/cmc.2022.023101 - 21 April 2022

Abstract Signet Ring Cell (SRC) Carcinoma is among the dangerous types of cancers, and has a major contribution towards the death ratio caused by cancerous diseases. Detection and diagnosis of SRC carcinoma at earlier stages is a challenging, laborious, and costly task. Automatic detection of SRCs in a patient's body through medical imaging by incorporating computing technologies is a hot topic of research. In the presented framework, we propose a novel approach that performs the identification and segmentation of SRCs in the histological images by using a deep learning (DL) technique named Mask Region-based Convolutional Neural… More >

E. Elamaran^1,*, B. Sudhakar²

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1467-1477, 2022, DOI:10.32604/iasc.2022.020625 - 09 December 2021

Abstract Essential components in wireless systems are schedulin and resource allocation. The problems in scheduling refers to inactive users in a given time slot and in terms of resource allocation it refers to the issues in the allocation of physical layer resources such as power and bandwidth among the active users. In the Long Time Evolution (LTE) downlink scheduling the optimized problem refers to the flow deadlines that incorporate the formulation in the surveyed scheduling algorithm for achieving enhanced performance levels. The major challenges appear in the areas of quality and bandwidth constrains in the video… More >

Weiming Zhang¹, Muhammad Wasim Khan¹, Xueqin Zuo¹, Qun Yang¹, Huaibao Tang^1,2, Shaowei Jin^1,2, Guang Li^1,2,3,*

Journal of Renewable Materials, Vol.8, No.4, pp. 431-446, 2020, DOI:10.32604/jrm.2020.09158 - 24 April 2020

Abstract A novel sunflower-like nanocomposite of SrCo₂S₄ nanoflakes and functionalized multiwall carbon nanotubes (f-MWCNTs) entanglement enveloped in nitrogen-reduced graphene oxide (N-RGO) is prepared by a cheap process. The unique entanglement structure of the material exhibits higher specific surface area, better electrical conductivity and other properties. This helps to reduce the transfer resistance in the photoelectric process of the battery and improve the electrochemical activity, thus increasing the photoelectric conversion efficiency of the battery. The new ternary cobalt-based sulfide material can replace platinum as the counter electrode (CE) material loaded on dye-sensitized solar cells (DSSCs). DSSCs with SrCo₂S₄@f-MWCNTs@N-RGO More >

Wei Wu^*, Linyan He^†‡, Yan Huang^*, Likun Hou^*, Wei Zhang^*, Liping Zhang^*, Chunyan Wu^*

Oncology Research, Vol.27, No.8, pp. 879-887, 2019, DOI:10.3727/096504018X15451308507747

Abstract An increasing number of studies have demonstrated that microRNAs (miRNAs) may play key roles in various cancer carcinogenesis and progression, including non-small cell lung cancer (NSCLC). However, the expressions, roles, and mechanisms of miR-510 in NSCLC have, up to now, been largely undefined. In vivo assay showed that miR-510 was upregulated in NSCLC tissues compared with that in adjacent nontumor lung tissues. miR-510 expression was significantly correlated with TNM stage and lymph node metastasis. In vitro assay indicated that expressions of miR-510 were also increased in NSCLC cell lines. Downregulation of miR-510 suppressed NSCLC cell More >

Gaowu Hu, Wei Pen, Ming Wang

Oncology Research, Vol.27, No.4, pp. 439-447, 2019, DOI:10.3727/096504018X15214994641786

Abstract Tripartite motif-containing 14 (TRIM14) is abnormally expressed in several human cancers. However, the function and expression of TRIM14 in human breast cancer are still largely unknown. To understand the biological function of TRIM14 in breast cancer, we measured the expression level of TRIM14. Cell proliferation and cell apoptosis were measured after TRIM14 overexpression or knockdown. Upregulation of TRIM14 was found in human breast cancer specimens and cell lines. Reduction of TRIM14 inhibited cell proliferation but increased cell apoptosis in the BT474 and MDA-MB-231 cell lines. Further study showed that knockdown of TRIM14 upregulated the expression More >

Dae-Young Kim¹, Seokhoon Kim^2,*

CMC-Computers, Materials & Continua, Vol.59, No.2, pp. 375-387, 2019, DOI:10.32604/cmc.2019.06077

Abstract Communication is important for providing intelligent services in connected vehicles. Vehicles must be able to communicate with different places and exchange information while driving. For service operation, connected vehicles frequently attempt to download large amounts of data. They can request data downloading to a road side unit (RSU), which provides infrastructure for connected vehicles. The RSU is a data bottleneck in a transportation system because data traffic is concentrated on the RSU. Therefore, it is not appropriate for a connected vehicle to always attempt a high speed download from the RSU. If the mobile network… More >

Chen Ren, Liao Jin-Yao, Huang Jing, Chen Wen-Li, Ma Xiao-Jun, Luo Xiao-Dan

Oncology Research, Vol.26, No.4, pp. 573-579, 2018, DOI:10.3727/096504017X14954923820137

Abstract THIS ARTICLE WAS WITHDRAWN BY THE PUBLISHER IN NOVEMBER 2020 More >

Rui Wang¹, Miaomiao Shen^1,*, Yanping Li¹, Samuel Gomes²

CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 25-48, 2018, DOI:10.32604/cmc.2018.02408

Abstract Recently, sparse representation classification (SRC) and fisher discrimination dictionary learning (FDDL) methods have emerged as important methods for vehicle classification. In this paper, inspired by recent breakthroughs of discrimination dictionary learning approach and multi-task joint covariate selection, we focus on the problem of vehicle classification in real-world applications by formulating it as a multi-task joint sparse representation model based on fisher discrimination dictionary learning to merge the strength of multiple features among multiple sensors. To improve the classification accuracy in complex scenes, we develop a new method, called multi-task joint sparse representation classification based on More >