2011 ieee projects matlab

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Dear Students Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain JAVA .NET EMBEDDED SYSTEMS ROBOTICS MECHANICAL MATLAB etc For further details contact us: enquiry@ingenioustech.in 044-42046028 or 8428302179. Ingenious Techno Solution #241/85, 4th floor Rangarajapuram main road, Kodambakkam (Power House) http://www.ingenioustech.in/

Efficient computation of range aggregates

ingenioustech

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Vaishali Bansal Bhati

Skin cancer is the most common type of cancer and represents 50% all new cancers detected each year. The deadliest form of skin cancer is melanoma and its incidence has been rising at a rate of 3% per year. Due to the costs for dermatologists to monitor every patient, there is a need for an computerized system to evaluate a patient‘s risk of melanoma using images of their skin lesions captured using a standard digital camera. In Proposed method, a novel texture-based skin lesion segmentation algorithm is used and to classify the stages of skin cancer using probabilistic neural network. Probabilistic neural network will give better performance in this system to detect a lot of stages in skin lesion. To extract the characteristics from various skin lesions and its united features gives better classification with new approached probabilistic neural network. There are five different skin lesions commonly grouped as Actinic Keratosis (AK), Basal Cell Carcinoma (BCC), Melanocytic Nevus / Mole (ML), Squamous Cell Carcinoma (SCC), Seborrhoeic Keratosis (SK). The system will be used to classify the queried images automatically to decide the stages of abnormality. The lesion diagnosis system involves two stages of process such as training and classification. Feature selection is used in the classified framework that chooses the most relevant feature subsets at each node of the hierarchy. An automatic classifier will be used for classification based on learning with some training samples of each stage. The accuracy of the proposed neural scheme is higher in discriminating cancer and pre-malignant lesions from benign skin lesions, and it attains an total classification accuracy is high of skin lesions.

Segmentation and Classification of Skin Lesions Based on Texture Features

IJERA Editor

Biometric-based techniques have emerged for recognizing individuals authenticating people. In the field of face recognition, plastic surgery based face recognition is still a lesser explored area. Thus the use of face recognition for surgical faces introduces the new challenge for designing future face recognition system. Face recognition after plastic surgery can lead to rejection of genuine users or acceptance of impostors. Transmuting facial geometry and texture increases the intra-class variability between the pre- and post-surgery images of the same individual. Therefore, matching post-surgery images with pre-surgery images becomes a difficult task for automatic face recognition algorithms. This paper deals with testing of two popular face recognition algorithms on plastic surgery database such as PCA and LDA and compared this algorithms based on Recognition Rate for better performance. Finally, the results are concluded.

Comparative Analysis of Face Recognition Algorithms for Medical Application

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Layered approach

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Study and Analysis of Novel Face Recognition Techniques using PCA, LDA and Ge...

Face Recognition using PCA-Principal Component Analysis using MATLAB

Face recognition vaishali

Segmentation and Classification of Skin Lesions Based on Texture Features

Comparative Analysis of Face Recognition Algorithms for Medical Application

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Mehran University Newsletter Vol-X, Issue-I, 2024

Mehran University of Engineering & Technology, Jamshoro

Food Chain and Food Web (Ecosystem) EVS, B. Pharmacy 1st Year, Sem-II

Shubhangi Sonawane

The global implications of DORA and NIS 2 Directive are significant, extending beyond the European Union. Amongst others, the webinar covers: • DORA and its Implications • Nis 2 Directive and its Implications • How to leverage directive and regulation as a marketing tool and competitive advantage • How to use new compliance framework to request additional budget Presenters: Christophe Mazzola - Senior Cyber Governance Consultant Armed with endless Excel files, a meme catalog worthy of the best X'os (formerly twittos), and a risk register to make your favorite risk manager jealous, I swapped my computer scientist cape a few years ago for that of a (cyber) threat hunter with the honorary title of CISO. Ah, and I am also a quadruple senior certified ISO27001/2/5, Pas mal non ? C'est francais. Malcolm Xavier Malcolm Xavier has been working in the Digital Industry for over 18 Years now. He has worked with Global Clients in South Africa, United States and United Kingdom. He has achieved Many Professional Certifications Like CISSP, Google Cloud Practitioner, TOGAF, Azure Cloud, ITIL v3 etc. His core competencies include IT strategy, cybersecurity, IT infrastructure management, data center migration and consolidation, data protection and compliance, risk management and governance, and IS program development and management. Date: April 25, 2024 Tags: Information Security, Digital Operational Resilience Act (DORA) ------------------------------------------------------------------------------- Find out more about ISO training and certification services Training: Digital Operational Resilience Act (DORA) - EN | PECB NIS 2 Directive - EN | PECB Webinars: https://pecb.com/webinars Article: https://pecb.com/article Whitepaper: https://pecb.com/whitepaper ------------------------------------------------------------------------------- For more information about PECB: Website: https://pecb.com/ LinkedIn: https://www.linkedin.com/company/pecb/ Facebook: https://www.facebook.com/PECBInternational/ Slideshare: http://www.slideshare.net/PECBCERTIFICATION

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A Transgenic animal is one that carries a foreign gene that has been deliberately inserted into its genome. The foreign gene are inserted into the germ line of the animal, so it can be transmitted to the progeny. Transgenic animals are animals that are genetically altered to have traits that mimic symptoms of specific human pathologies. They provide genetic model of various human disease which are important in understanding disease and development of new target.

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