Nabila Mansouri^1,2,*, Khalid Sultan³, Aakash Ahmad⁴, Ibrahim Alseadoon⁴, Adal Alkhalil⁴

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1247-1264, 2022, DOI:10.32604/iasc.2022.025046 - 03 May 2022

Abstract The outbreak of novel Coronavirus COVID-19, an infectious disease caused by the SARS-CoV-2 virus, has caused an unprecedented medical, economic, and social emergency that requires data-driven intelligence and decision support systems to counter the subsequent pandemic. Data-driven models and intelligent systems can assist medical researchers and practitioners to identify symptoms of COVID-19 infection. Several solutions based on medical image processing have been proposed for this purpose. However, the most shortcoming of hand craft image processing systems is the lower provided performances. Hence, for the first time, the proposed solution uses a deep learning model that… More >

DOMENICO MARIA CARRETTA^1,§, MARINA DI DOMENICO^2,§, ROBERTO LOVERO³, ROBERTO ARRIGONI⁴, ANGELIKA ELZBIETA WEGIERSKA⁵, MARIAROSARIA BOCCELLINO^2,*, ANDREA BALLINI^2,6,*, IOANNIS ALEXANDROS CHARITOS^7,#, LUIGI SANTACROCE^5,#

BIOCELL, Vol.46, No.8, pp. 1779-1788, 2022, DOI:10.32604/biocell.2022.020009 - 22 April 2022

Abstract The existence of an inflammatory process in the heart muscle, related to a progressive worsening of myocardial function, different etiopathogenetic mechanisms concur and often overlap, thus making the diagnosis and the therapeutic approach complex. As the COVID-19 pandemic progresses, the effects of the disease on the organ systems and in particular on the cardiovascular system are becoming more and more profound. Cardiac involvement is a well-known event with a high percentage of findings in the heart’s magnetic field, even in asymptomatic areas. There are numerous uncertainties regarding their evolution, in the long and short term,… More >

XIAOXIA WANG^1,#, ZHONGYUAN YAO^1,2,#, DI LIU¹, CHUNHONG YU^3,*, HUI LI^1,3,*

BIOCELL, Vol.46, No.8, pp. 1803-1806, 2022, DOI:10.32604/biocell.2022.019731 - 22 April 2022

Abstract Each stage of embryonic development, including normal gamete maturation, fertilization, zygotic genome activation, and cleavage, is crucial for human reproduction. Early embryo arrest is a common phenomenon. It is estimated that about 40%–70% of human embryos are arrested at early developmental stages. However, the exact mechanism remains largely uncertain. Embryos can be investigated in vitro by way of the development of in vitro fertilization/intracytoplasmic sperm injection. In addition to iatrogenic factors related to abnormal oocyte/embryo development, multiple gene mutations have been found to be involved in such phenotypes. Based on the knowledge of known etiological factors, several More >

Ravindra Parshuram Bachate¹, Ashok Sharma², Amar Singh³, Ayman A. Aly⁴, Abdulaziz H. Alghtani⁴, Dac-Nhuong Le^5,6,*

Computer Systems Science and Engineering, Vol.43, No.2, pp. 439-454, 2022, DOI:10.32604/csse.2022.024214 - 20 April 2022

Abstract Communication is a significant part of being human and living in the world. Diverse kinds of languages and their variations are there; thus, one person can speak any language and cannot effectively communicate with one who speaks that language in a different accent. Numerous application fields such as education, mobility, smart systems, security, and health care systems utilize the speech or voice recognition models abundantly. Though, various studies are focused on the Arabic or Asian and English languages by ignoring other significant languages like Marathi that leads to the broader research motivations in regional languages.… More >

Rashed Iqbal¹, Hazlie Mokhlis¹, Anis Salwa Mohd Khairuddin^1,*, Syafiqah Ismail¹, Munir Azam Muhammad²

Computer Systems Science and Engineering, Vol.43, No.2, pp. 817-832, 2022, DOI:10.32604/csse.2022.023617 - 20 April 2022

Abstract Electricity price forecasting (EPF) is important for energy system operations and management which include strategic bidding, generation scheduling, optimum storage reserves scheduling and systems analysis. Moreover, accurate EPF is crucial for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Nevertheless, accurate time-series prediction of electricity price is very challenging due to complex nonlinearity in the trend of electricity price. This work proposes a mid-term forecasting model based on the demand and price data, renewable and non-renewable energy supplies, the seasonality and peak and off-peak hours of… More >

Lei Ren, Lei Zhang^*

Energy Engineering, Vol.119, No.3, pp. 1179-1196, 2022, DOI:10.32604/ee.2022.018902 - 31 March 2022

Abstract Due to the components at twice the fundamental frequency of output voltage in the instantaneous output power of a two-stage single-phase inverter (TSI), the second harmonic current (SHC) is generated in the front-end dc-dc converter (FDC). To reduce the SHC, optimizing the control strategy of the FDC is an effective and costless approach. From the view of visual impedance, this paper conducts an intensive study on the SHC reduction strategies. Origin of the SHC is illustrated first. Then, the equivalent circuit models of the FDC under different control strategies are proposed to analyse the SHC… More >

Bin Zhang, Boqiang Wei^*

Energy Engineering, Vol.119, No.3, pp. 1197-1218, 2022, DOI:10.32604/ee.2022.018411 - 31 March 2022

Abstract The non-cascade permanent magnet synchronous motor control system has the advantages of simple structure and less adjustable parameters, but the non-cascade structure needs to solve the problem of over-current protection. In this paper, a current constrained control method is used to limit the starting current to a safe range. At the same time, to ensure the robustness and rapidity of the system, a super twist current constraint controller (CCSTA) is generated by combining super twist algorithm (STA) with current constraint control; Considering the diversity of internal and external disturbances, a functional disturbance observer (FDOB) is More >

Hangxing Wang^1,#, Jingyun Fang^1,#, Yujiao Wang^2,#, Shuo Li², Zirui Wang², Wei He², Nan Wang¹, Shuang Luo¹, Huimei Zou^3,*, Fan Zhang^4,5,*

Oncologie, Vol.24, No.1, pp. 65-83, 2022, DOI:10.32604/oncologie.2022.021863 - 31 March 2022

Abstract Lung cancer is the most common malignant tumor with the highest morbidity and mortality in the world, and non-small cell lung cancer (NSCLC) accounts for the vast majority of cases. At present, its main treatment methods are still traditional surgery, radiotherapy and chemotherapy, with disadvantages such as a high recurrence rate and limited effectiveness. Therefore, a new, better treatment method is urgently needed. Gene editing technology, as a new genetic engineering approach, has shown great potential in gene research, gene therapy and genetic improvement. It has also emerged as a promising treatment for lung cancer. More >

Divya Mohan^*, Latha Ravindran Nair

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3039-3053, 2022, DOI:10.32604/cmc.2022.024438 - 29 March 2022

Abstract In recent years, machine learning algorithms and in particular deep learning has shown promising results when used in the field of legal domain. The legal field is strongly affected by the problem of information overload, due to the large amount of legal material stored in textual form. Legal text processing is essential in the legal domain to analyze the texts of the court events to automatically predict smart decisions. With an increasing number of digitally available documents, legal text processing is essential to analyze documents which helps to automate various legal domain tasks. Legal document… More >

Ajina Mohamed Ameer^*, M. Victor Jose

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1349-1361, 2022, DOI:10.32604/iasc.2022.023924 - 24 March 2022

Abstract This paper presents a novel approach for arrhythmia detection and classification using modified recurrent neural network. In medicine and analytics, arrhythmia detections is a hot topic, specifically when it comes to cardiac identification. In the research methodology, there are 4 main steps. Acquisition and pre-processing of data, electrocardiogram (ECG) feature extraction utilizing QRS (Quick Response Systems) peak, and ECG signal classification using a Modified Recurrent Neural Network (Modified RNN) for arrhythmia diagnosis. The Massachusetts Institute of Technology-Beth Israel Hospital. (MIT-BIH) Arrhythmia database was used, as well as the image accuracy. Medium filter is used in… More >