Tamal Kumar Kundu¹, Dinesh Kumar Anguraj^1,*, S. V. Sudha^2,*

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3289-3304, 2023, DOI:10.32604/cmc.2023.039515

Abstract A theoretical methodology is suggested for finding the malaria parasites’ presence with the help of an intelligent hyper-parameter tuned Deep Learning (DL) based malaria parasite detection and classification (HPTDL-MPDC) in the smear images of human peripheral blood. Some existing approaches fail to predict the malaria parasitic features and reduce the prediction accuracy. The trained model initiated in the proposed system for classifying peripheral blood smear images into the non-parasite or parasite classes using the available online dataset. The Adagrad optimizer is stacked with the suggested pre-trained Deep Neural Network (DNN) with the help of the contrastive divergence method to pre-train.… More >

JULIANA A. PORTES¹, ROSSIANE C. VOMMARO¹, LUCIO AYRES CALDAS², ERICA S. MARTINS-DUARTE^3,*

BIOCELL, Vol.47, No.4, pp. 929-950, 2023, DOI:10.32604/biocell.2023.026629

Abstract Toxoplasma gondii is a protozoan of worldwide distribution and the agent of toxoplasmosis. It is estimated that 30%–50% of the world population could be infected with this parasite. Although the infection in immunocompetent individuals is mostly asymptomatic, the disease in immunosuppressed and pregnant is a risk condition. As a member of the phylum Apicomplexa, T. gondii has an obligatory intracellular lifestyle; therefore, invading a host cell and establishing it inside a parasitophorous vacuole (PV) are mandatories for the survival of this parasite. The construction of a perfect intracellular niche for T. gondii requires the secretion of an arsenal of proteins… More >

K. Jayanthi^1,*, A. M. Kalpana²

Computer Systems Science and Engineering, Vol.46, No.2, pp. 1689-1705, 2023, DOI:10.32604/csse.2023.034613

Abstract The fifth-generation (5G) wireless technology is the most recent standardization in communication services of interest across the globe. The concept of Multiple-Input-Multiple-Output antenna (MIMO) systems has recently been incorporated to operate at higher frequencies without limitations. This paper addresses, design of a high-gain MIMO antenna that offers a bandwidth of 400 MHz and 2.58 GHz by resonating at 28 and 38 GHz, respectively for 5G millimeter (mm)-wave applications. The proposed design is developed on a RT Duroid 5880 substrate with a single elemental dimension of 9.53 × 7.85 × 0.8 mm³. The patch antenna is fully grounded and is fed with a 50-ohm stepped impedance… More >

Henry López-López¹, Nancy Ruiz-Lau², Rocío Meza-Gordillo¹, Víctor Manuel Ruiz-Valdiviezo¹, Joseph Galthier Robledo-Luchetti¹, Carlos Alberto Lecona-Guzmán¹, Juan José Villalobos-Maldonado¹, Luc Dendooven³, Joaquín Adolfo Montes-Molina^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1235-1255, 2023, DOI:10.32604/phyton.2023.025716

Abstract The objective of this work was to evaluate the effect of Beauveria bassiana (Bb 1205) on controlling Fusarium oxysporum f. sp. lycopersici (Fol 17108) in tomato plants in greenhouse conditions. Inoculation of Bb 1205 was the most promising among the agronomic variables and expression of the activity of the enzymes β-1,3-glucanases and chitinases. Inoculation of Bb 1205 occurred at a concentration of 1 × 10⁸ conidia·mL⁻¹, which was administered onto the leaves, directly into the soil and via injection. Infection with Fol 17108 occurred with 1 × 10⁶ spores·mL⁻¹, which were added directly to the soil. Spectrophotometry was used for… More >

Daniyar Sultan^1,2,*, Batyrkhan Omarov³, Zhazira Kozhamkulova⁴, Gulnur Kazbekova⁵, Laura Alimzhanova¹, Aigul Dautbayeva⁶, Yernar Zholdassov¹, Rustam Abdrakhmanov³

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5625-5640, 2023, DOI:10.32604/cmc.2023.033682

Abstract Automatic identification of cyberbullying is a problem that is gaining traction, especially in the Machine Learning areas. Not only is it complicated, but it has also become a pressing necessity, considering how social media has become an integral part of adolescents’ lives and how serious the impacts of cyberbullying and online harassment can be, particularly among teenagers. This paper contains a systematic literature review of modern strategies, machine learning methods, and technical means for detecting cyberbullying and the aggressive command of an individual in the information space of the Internet. We undertake an in-depth review of 13 papers from four… More >

Azuwa Ali¹, Mohd Najib Mohd Yasin^2,*, Ismahayati Adam², Ali H. Rambe³, Mohd Haizal Jamaludin⁴, Hasliza A Rahim², Corhan Cengiz⁵, Mohd Ibrahim Shapiai Abd. Razak⁶

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 313-325, 2023, DOI:10.32604/cmc.2023.031706

Abstract This paper proposes a new dielectric resonator antenna (DRA) design that can generate circularly polarized (CP) triple-band signals. A triple-band CP DRA antenna fed by a probe feed system is achieved with metal strips structure on side of DRA structure. The design start with conventional rectangular DRA with F shaped metal strips on DRA structure alongside the feed. Then, the F metal strip is enhanced by extending the length of the metal strip to obtain wider impedance bandwidth. Further improvement on the antenna performance is observed by improvised the conventional DRA structure. The method of removing part of DRA bottom… More >

Phuoc Van Nguyen^*

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2279-2301, 2023, DOI:10.32604/cmc.2023.030019

Abstract Electronic wallet (E-wallet), which combines software, hardware, and human interaction, is a modern platform for electronic payment. Financial services managers can create more effective strategies for advancing existing positions by evaluating the success of e-wallet services. The objective of this research is to create an integrated model for assessing E-wallet services using the Fuzzy Analytic Hierarchy Process (FAHP) in conjunction with a technique for extent analysis and the ARAS approach (Additive Ratio Assessment). In this study, E-wallet service providers are ranked and evaluated using the ARAS approach and the FAHP priority weights. In addition, a case study from Vietnam illustrates… More >

Muhammad Umer¹, Mustansar Mubeen², Yasir Iftikhar^2,*, Haider Ali³, Muhammad Zafar-ul-Hye⁴, Rafia Asghar⁵, Mazhar Abbas⁶, Malik Abdul Rehman⁷, Ernesto A. Moya-Elizondo⁸, Yuejun He^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2099-2110, 2022, DOI:10.32604/phyton.2022.022013

Abstract Viral diseases have been studied in-depth for reducing quality, yield, health and longevity of the fruit, to highlight the economic losses. Positive-sense single-stranded RNA viruses are more devastating among all viruses that infect fruit trees. One of the best examples is papaya ringspot virus (PRSV). It belongs to the genus Potyvirus and it is limited to cause diseases on the family Chenopodiaceae, Cucurbitaceae and Caricaceae. This virus has a serious threat to the production of papaya, which is famous for its high nutritional and pharmaceutical values. The plant parts such as leaves, latex, seeds, fruits, bark, peel and roots may… More >

P. Anitha¹, K. Karthik Kumar^2,*, M. Ravindran², A. Saravanaselvan²

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1377-1397, 2022, DOI:10.32604/iasc.2022.025396

Abstract In this paper, efficient charging of electric vehicle battery from a considered renewable solar photovoltaic source with the help of a modified Z source with efficient boosting topology. Adapting this Z-source converter to act as a voltage gainer with a boosting function allows a solar Photovoltaic (PV) input voltage of 25VDC (Volts Direct Current) to be increased to a designed output voltage of 75VDC at a low duty ratio, resulting in minimal switching loss. The closed-loop steady-state and transient parameters at the output were analyzed and compared using modern evolutionary algorithms. The power range upheld throughout the circuit is around… More >

Ahmad Alassaf, Mohamed Yacin Sikkandar^*

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5273-5285, 2022, DOI:10.32604/cmc.2022.025577

Abstract Malaria is a severe disease caused by Plasmodium parasites, which can be detected through blood smear images. The early identification of the disease can effectively reduce the severity rate. Deep learning (DL) models can be widely employed to analyze biomedical images, thereby minimizing the misclassification rate. With this objective, this study developed an intelligent deep-transfer-learning-based malaria parasite detection and classification (IDTL-MPDC) model on blood smear images. The proposed IDTL-MPDC technique aims to effectively determine the presence of malarial parasites in blood smear images. In addition, the IDTL-MPDC technique derives median filtering (MF) as a pre-processing step. In addition, a residual… More >