Breast Cancer Diagnostic System Based on MR images Using KPCA-Wavelet Transform and Support Vector Machine

Al-Dabagh, Mustafa Zuhaer Nayef; Almukhtar, Firas Husham

doi:10.22161/ijaers.4.3.41

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Deep-fake videos have been shown to include intra-frame incoherence's and temporal differences between frames. We use a timeconscious pipeline method using CNN and long-term memory (LTM) to detect deep fake videos [22][23][24][25][26]. To verify if face masks are being used correctly, all the faces that were recognized were grouped into one class.…”

Section: Methodsmentioning

confidence: 99%

A robust facemask forgery detection system in video

Almukhtar¹

2022

PEN

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An in-depth fake video uses an Artificial Intelligent (AI), AI programming, and a Personal computer (PC) mix to create a deep fake video of the action. Deep-faking can also be used to represent images and sounds. We provide insights into our reviews in this document. We're showing our dataset to start. At this point, we present the subtleties and reproductively of exploratory settings to evaluate the discovered effects finally. It is no surprise to find deep fake videos, which only monitor a tiny section of the video (e.g., the target face appears quickly on the video; hence the time is limited). We remove our system's fixed duration's persistent effects as each video contributes to the preparation, approval, and testing sections to reflect this. The edge groups are isolated from each video successively (without outline skips). The entire pipeline is ready to be finished when the approval stage is ten years old. Convolutional Neural Network (CNN) was the best and most reliable of the classification systems. Fake videos typically use low-quality pictures to mask faults or insist that the general public regard camera defects as unexplainable phenomena. 'This is a common trope with Unidentified Flying Object (UFO) videos: ghostly orbs are lenses; snakes are compression artifacts on one's face. In this study, we have implemented a sophisticated, knowledgeable method to recognize false images. Our test results using various monitored videos have shown that we can reliably predict whether videos are monitored through with simple co-evolutionary Long Short-Term Memory (LSTM) structure.

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Section: Methodsmentioning

confidence: 99%

A robust facemask forgery detection system in video

Almukhtar¹

2022

PEN

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“…Additionally, RPA robots can more effectively scan incoming data, provide condensed reports that take location, diagnosis, and insurance carrier into account, and route appointment requests (Battina, 2016). The simplicity of claims processing, which often entails data entry, processing, and review and is time-consuming and more prone to human mistake, is another advantage that RPA systems may provide (AL-Dabagh & AL-Mukhtar, 2017).…”

Section: Ajay Reddy Yeruvamentioning

confidence: 99%

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

Yeruva

2023

Eduvest

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We see the critical role technology plays in healthcare in the midst of a continuous worldwide health crisis. To combat the epidemic, South Korea, for example, used smart city' technology and government-developed applications that follow individuals in quarantine. A biosensor that can identify the virus in saliva samples has just been created by India's National Institute of Animal Biotechnology, Hyderabad. These developments are made feasible by the usage of certain biosensors that have printed circuit boards with metal core components capable of withstanding large variations in moisture and temperature. A very sophisticated breakthrough, artificial intelligence for IT operations, is altering the healthcare sector in addition to the technology that aid nations in combating the epidemic. This general phrase, also known as AIOps, describes the automated detection and repair of typical IT problems using big data, machine learning, and other AI technologies. AIOps may be used in the healthcare industry to teach computers to analyse CT scan pictures, follow the progression of various illnesses, assess the effectiveness of patient therapy, and much moren.

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