M. P. Karthikeyan^1,*, E. A. Mary Anita²

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 567-580, 2023, DOI:10.32604/iasc.2023.026243

Abstract In recent years, there has been a significant increase in the number of people suffering from eye illnesses, which should be treated as soon as possible in order to avoid blindness. Retinal Fundus images are employed for this purpose, as well as for analysing eye abnormalities and diagnosing eye illnesses. Exudates can be recognised as bright lesions in fundus pictures, which can be the first indicator of diabetic retinopathy. With that in mind, the purpose of this work is to create an Integrated Model for Exudate and Diabetic Retinopathy Diagnosis (IM-EDRD) with multi-level classifications. The model uses Support Vector Machine… More >

Fuad A. M. Al-Yarimi^*

Computer Systems Science and Engineering, Vol.44, No.1, pp. 129-142, 2023, DOI:10.32604/csse.2023.024297

Abstract A critical component of dealing with heart disease is real-time identification, which triggers rapid action. The main challenge of real-time identification is illustrated here by the rare occurrence of cardiac arrhythmias. Recent contributions to cardiac arrhythmia prediction using supervised learning approaches generally involve the use of demographic features (electronic health records), signal features (electrocardiogram features as signals), and temporal features. Since the signal of the electrical activity of the heartbeat is very sensitive to differences between high and low heartbeats, it is possible to detect some of the irregularities in the early stages of arrhythmia. This paper describes the training… More >

Mahmood Hameed Majeed^*, Nabeel Kadhem Abd Alsaheb

Journal of Renewable Materials, Vol.10, No.9, pp. 2391-2408, 2022, DOI:10.32604/jrm.2022.019887

Abstract Tissue engineering’s main goal is to regenerate or replace tissues or organs that have been destroyed by disease, injury, or congenital disabilities. Tissue engineering now uses artificial supporting structures called scaffolds to restore damaged tissues and organs. These are utilized to attach the right cells and then grow them. Rapid prototyping appears to be the most promising technology due to its high level of precision and control. Bone tissue replacement “scaffolding” is a common theme discussed in this article. The fused deposition technique was used to construct our scaffold, and a polymer called polylactic acids and soybean oil resin were… More > Graphic Abstract

Xiaofang Yu^#,*, Linjie Yue^#, Qing Wu, Liu Yang, Chunyu Fan, Zhiwen Wang, Jiani Hu

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2135-2162, 2022, DOI:10.32604/phyton.2022.020139

Abstract Iris pseudacorus is a widely cultivated and studied ornamental plant with a large biomass, strong adaptability and extensive management. Moreover, it has the ability to decontaminate and enrich heavy metals. However, few studies have been conducted on its submergence tolerance with little known about the molecular response of I. pseudacorus to flooding. Morphologically, I. pseudacorus had strong adaptability to waterlogging, the aerenchyma was gradually enlarged and adventitious roots developed between 0 and 14 d. The transcriptome data showed that the differentially expressed genes counts in plants flooded for 2 h, 4 h, 12 h and 24 h compared with the… More >

A. K. M. Golam Sarwar¹, Md. Sabibul Haque^1,*, Md. Ekramul Haque², Md. Amir Hossain³, Md. Golam Azam⁴, Md. Nesar Uddin¹, Eldessoky S. Dessoky⁵, Mahmoud A. Basry⁶, Md. Alamgir Hossain¹

Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1721-1743, 2022, DOI:10.32604/phyton.2022.021069

Abstract Linseed is a multipurpose crop and the crop needs further improvement to increase production and yield due to its high value and demand. This study aimed to assess the extent and pattern of genetic variability of forty linseed genotypes based on diverse agro–morphological and yield attributes. The field experiment was conducted following a Randomized Complete Block Design with three replications. Linseed germplasm showed a wide range of phenotypic expression, genetic variability and heritability for 30 studied traits. A low to high phenotypic coeffi- cient of variation (PCV) and genotypic coefficient of variation (GCV) were observed. The lowest genotypic (σ² g)… More >

P. R. Sheebha Rani^1,*, R. Jemila Rose²

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1579-1592, 2022, DOI:10.32604/iasc.2022.023587

Abstract Every year, cervical cancer (CC) is the leading cause of death in women around the world. If detected early enough, this cancer can be treated, and patients will receive adequate care. This study introduces a novel ultrasound-based method for detecting CC. The Oriented Local Histogram Technique (OLHT) is used to improve the image corners in the cervical image (CI), and the Dual-Tree Complex Wavelet Transform (DT-CWT) is used to build a multi-resolution image (CI). Wavelet, and Local Binary Pattern are among the elements retrieved from this improved multi-resolution CI (LBP). The retrieved appearance is trained and tested using a feed-forward… More >

J. Anitha^*, M. Kalaiarasu

Computer Systems Science and Engineering, Vol.43, No.1, pp. 363-379, 2022, DOI:10.32604/csse.2022.022402

Abstract Digital Image Processing (DIP) is a well-developed field in the biological sciences which involves classification and detection of tumour. In medical science, automatic brain tumor diagnosis is an important phase. Brain tumor detection is performed by Computer-Aided Diagnosis (CAD) systems. The human image creation is greatly achieved by an approach namely medical imaging which is exploited for medical and research purposes. Recently Automatic brain tumor detection from MRI images has become the emerging research area of medical research. Brain tumor diagnosis mainly performed for obtaining exact location, orientation and area of abnormal tissues. Cancer and edema regions inference from brain… More >

Salinda Sandamal^1,2,3,#, Asanka Tennakoon^1,#, Parakkrama Wijerathna¹, Song Ge^2,3, DABN Amarasekera⁴, Buddhi Marambe⁵, Sara M. Elwany⁶, Sobhy Sorour⁶, Ayman El Sabagh⁶, Mohamed M. Hassan⁷, Disna Ratnasekera^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1269-1287, 2022, DOI:10.32604/phyton.2022.018983

Abstract Information on the genetic diversity of wild rice species in Sri Lanka is relatively meagre, though it plays a key role in crop improvement programs of cultivated rice (Oryza sativa L.). The present study was carried out to identify the morphological variation pattern of the wild populations of O. nivara in Sri Lanka. Seven populations (P1 to P7) collected from different agro-ecological regions were characterized in a common garden based on nine morphological traits. The findings revealed a high level of phenotypic variation between populations when compared to within a population. The most variable traits were the flag leaf panicle… More >

Parneet Kaur¹, Yogesh Kumar¹, Shakeel Ahmed^2,*, Abdulaziz Alhumam², Ruchi Singla³, Muhammad Fazal Ijaz⁴

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 35-50, 2022, DOI:10.32604/cmc.2022.017681

Abstract Automatic License Plate Recognition (ALPR) systems are important in Intelligent Transportation Services (ITS) as they help ensure effective law enforcement and security. These systems play a significant role in border surveillance, ensuring safeguards, and handling vehicle-related crime. The most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network (CNN). A CNN works on an input image by assigning significance to various features of the image and differentiating them from each other. CNNs are popular for license plate character recognition. However, little has been reported on the results of these systems with regard to unusual varieties… More >

Fuchu Zhang¹, Yanpeng Wu^2,*, Miaoqing Xu², Sanjun Liu³, Changling Peng², Zhichen Gao⁴

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 301-321, 2022, DOI:10.32604/iasc.2022.021929

Abstract Cell segmentation is an important topic in medicine. A cell image segmentation algorithm based on morphology is proposed. First, some morphological operations, including top-hat transformation, bot-hat transformation, erosion operation, dilation operation, opening operation, closing operation, majority operation, skeleton operation, etc., are applied to remove noise or enhance cell images. Then the small blocks in the cell image are deleted as noise, the medium blocks are removed and saved as normal cells, and the large blocks are segmented as overlapping cells. Each point on the edge of the overlapping cell area to be divided is careful checked. If the shape of… More >