Titlebook: Intelligent Technologies and Applications; First International Imran Sarwar Bajwa,Fairouz Kamareddine,Anna Costa Conference proceedings 20

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鋸齒狀

Enhanced Medical Image De-noising Using Auto Encoders and MLPserve the smallest possibilities of denoising the medical images and achieved a maximum accuracy of 99.98% for SDAE (In Tensorflow Background), 99.97% for SDAE (In Theano Background) and 99.99% for Multi-Layer Perception (MLP) technique and later compared these with the accuracies of the existing methods.

Militia

Sentiment Analysis of Student’s Facebook PostsEconomics. This research work provides the automated system to detect the students’ post of related issues is positive, negative and neutral. Developing tool provides the best outcomes to improve the related issues, matters and institution’s policies.

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Enhanced Medical Image De-noising Using Auto Encoders and MLPar or Gaussian noise) is a crucial task, hence it has become a state of art for the researchers in retrieving the original characteristics of the image by using different denoising and image retrieving techniques. In earlier, many techniques have been proposed such as patch wise denoising (e.g., Sli

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E-BRACE: A Secure Electronic Health Record Access Method in Medical Emergencygencies may require assistance from another person or guided system to get proper level of care. The current practice of emergency frameworks includes different medical teams to improve the response time as well as a first-aid trained (FAT) person who lives close-by can reduce the first response-tim

Indelible

Enhanced Fuzzy Resolution Appliance for Identification of Heart Disease in Teenagersal levels of biomarkers in the blood are different from mature adults. Deployment of an intelligent method in this context is also a challenging task. The proposed method of this article for heart diseases is Mamdani fuzzy inference system. This intelligent system takes 14 different input parameters

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Similarity Measuring for Clustering Patient’s Reports in Telemedicineote places using telecommunications, particularly for those who live in rural or any underserved places. The primary care doctor takes initial symptoms of the patient after which electronically transmit them to the consultant by electronic mail or protected services from distant place particularly f

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