Table of contents:
International Journal Of Computer Aided Engineering And Technology – Melanoma is considered one of the most malignant, metastatic and dangerous forms of skin cancer that can lead to death. The cure and survival of this type of skin cancer directly depends on the diagnosis and removal of melanoma at an early stage. The accuracy of the clinical diagnosis of melanoma with the aid of an eye is only 60%, depending only on the accumulated knowledge and experience of each doctor. The second suggestion is the need for computer-aided diagnosis (CAD) systems as a non-invasive aid to clinicians to increase the accuracy of detection, as well as to provide information on optical features important for their identification. The ultimate goal of this study is to design an automated, low-cost computer-aided diagnosis system for melanoma skin cancer to increase system flexibility and availability. It also investigates the extent to which using clinical photographic images instead of dermoscopy can influence the diagnosis of melanoma, using both in the same automated diagnostic system. Texture features are extracted from 140 types of pigmented skin lesions (PSL) based on gray-level concatenation matrix (GLCM), and the effective features are selected by the Fisher score ranking, and then classified using artificial neural network (ANN), and the whole system is processed. interactive graphical user interface (GUI) for ease of use. The results show the high performance of the proposed CAD system for differentiating melanoma from melanocytic skin tumors using texture analysis on clinical photographs with 100% predictive accuracy in the training phase and 91% in the testing phase. Moreover, the use of this type of image shows a higher accuracy in the diagnosis of melanoma compared to dermoscopy images, because clinical images of photographs are obtained using low-cost consumers that show a certain degree of resolution at the edges of our field of view.
Mai Saeed Mabrouk received his BSc in 2000 from the Department of Systems and Biomedical Engineering, Cairo University, Giza, Egypt. He received his MS and PhD degrees in biomedical engineering from the school in 2004 and 2008, respectively. Since August 2008, he has been working as a lecturer at the Department of Biomedical Engineering at the Misr University of Science and Technology (MSUT). He has authored several research articles in image processing and bioinformatics. His research interests include genomic signal processing as well as biomedical image processing, bioinformatics, and digital signal processing.
International Journal Of Computer Aided Engineering And Technology
Mabrouk, M. S., Sheha, M., & Sharawy, A. A. (2013). Computer-aided diagnosis of melanoma skin cancer using clinical photographic images. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 10(8), 1922–1929. https://doi.org/10.24297/ijct.v10i8.1474 Measures weighted citations received by a journal. Depends on the reputation and category of the cited journal.
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IJCAET is a research and application journal of new knowledge, reporting, and highlighting the opportunities and limitations of computer-based engineering and technology in the modern lifecycle-oriented, knowledge-based manufacturing era. Contributions to both academic and industrial practice are included. IJCAET is designed to be an interdisciplinary, fully refereed and international journal. Read less
IJCAET is a research and application journal of new knowledge, reporting, and highlighting the opportunities and limitations of computer-based engineering and technology in the modern lifecycle-oriented, knowledge-based manufacturing era. Contributions to both academic…… Read more
Blonder, G.E., Tinkham, M., and Klapwijk, T.M. (1982). “Transition from metallic mode to tunneling mode during superconducting microconvolution: Excess current, charge imbalance, and overcurrent conversion”. Physics. Rev. B, 25(7), pp. 4515–4532.
The Use Of Extended Reality And Computer Vision To Aid Reminiscence Therapy In Persons With Dementia By Ijraset
Abstract: Recent technological advances have greatly improved the performance and features of embedded systems. It’s just that the number of mobile devices is almost equal to the world’s population, so embedded systems are truly ubiquitous. However, these trends create a challenge to manage their energy consumption. It’s just that the number of mobile devices is almost equal to the world’s population, so embedded systems are truly ubiquitous. However, these trends have made managing their energy consumption very difficult. In recent years, several techniques have been proposed to solve this problem. In this article, we will explore techniques for managing the power consumption of embedded systems. We discuss the need for energy management and categorize the techniques according to several important parameters to highlight similarities and differences. This document is intended to help researchers and application developers gain insight into power management techniques and design tomorrow’s more efficient high-performance embedded systems. read more, read less
Subjects: Population (53%)53% paper related , Green Computing (51%)51% paper related , Energy Management (51%)51% paper related
Abstract: Health systems should be understood as different, diverse and ubiquitous systems created by people who speak different languages, integrate medical equipment, and are ordered by different institutions. different goals. Therefore… Health systems should be understood as diverse, distributed, and ubiquitous systems that speak different languages, integrate medical equipment, and are configured by different enterprises and people living in different contexts. achieve different goals. Therefore, the architecture of medical information, electronic medical record integration, distribution and archiving agency, intelligent information processing system web form, its main subsystems and their functional roles, is designed to support medical use. information flow and control between them adjustable independence. With the help of such web-based simulation systems, the quality of service can be improved (for example, existing knowledge can be used for educational and training purposes). read more, read less
Topics: eMix (61%) 61% related to paper , Information Integration (55%) 55% related to paper , Data Processor (52%) 52% related to paper
University Of Central Punjab
Abstract: This paper focuses on the basic and enhanced use of the Bees algorithm to adjust the parameters of a fuzzy logic controller developed for vertical stabilization and balancing of a two-link acrobatic robot (ACROBOT). The linear quadratic regulator (LQR) was originally developed to obtain the scaling… In this paper, the Bees algorithm is developed to adjust, stabilize, and balance the parameters of fuzzy logic controllers aimed at basic and improved applications. A two-joint acrobatic robot (ACROBOT) is in a vertical position. The linear quadratic regulator (LQR) was first developed to capture the scaling required to design fuzzy logic controllers. The simulation results confirmed that the use of Bees Algorithm to optimize the membership function and the increase in the scale of the fuzzy system improved the performance of the controller. read more, read less
Topics: Bee Algorithm (64%)64% paper related , Fuzzy Logic (64%)64% paper related , Fuzzy Control Systems (60%)60% paper related , Control Theory (56%)56% paper related , Linear -quadratic regulator (55%)55% related to paper
Abstract: With the paradigm shift in online marketing and e-commerce in business strategy, and the transformation of the World Wide Web into a smart semantic web, there is a constant need for semantically driven e-commerce systems that empower users. . In this paper, OntoCommerce, an e-collaboration… There is a paradigm shift in business strategies such as online marketing and e-commerce, and there is a constant need to understand the World Wide Web as it transforms into a smart semantic web. semantically oriented e-commerce systems that prioritize users. In this paper, OntoCommerce proposed an e-commerce system incorporating a semantic algorithm for product recommendations. The proposed strategy uses an enriched normalized point mutual information measure for semantic similarity estimation. OntoCommerce ingests ontology and recommends products based on user queries, recorded user navigation, and user profile analysis, thus incorporating personalization. To make recommendations more relevant, OntoCommerce uses parameter blurring to increase the number of relevant recommended products. With an average accuracy of 88.68% and a low false discovery rate of 0.13, OntoCommerce is the best semantically driven product recommendation system for online e-commerce. read more, read less
Topics: Semantic Similarity (60%) 60% Paper Related , User Profile (60%) 60% Paper Related , Semantic Web (59%) 59% Paper , Ontology (Information Science) (55%) 55% is related to paper, point mutual information (54%) 54% is related to paper
How Technology Helps Increase Workplace Safety In Heavy Industries
Abstract: This report describes the aforementioned CNC machine tool evaluation module (index) by evaluating and ranking candidate CNC machine tools selected from existing literature sources. In this report, the trapezoidal fuzzy numbers with general interval values are ranked in weighted geometric order … In this report, the above-mentioned CNC machine tool evaluation module (index) is developed by evaluating and ranking candidates selected from existing literature sources. CNC machine tools. In this report, the weighted geometric mean (GITFNOWGA) operator for trapezoidal fuzzy numbers with ordered generalized interval values has worked effectively.
