Titlebook: Concepts and Real-Time Applications of Deep Learning; Smriti Srivastava,Manju Khari,Parul Arora Book 2021 The Editor(s) (if applicable) an

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Awning

Text-Independent Speaker Recognition Using Deep Learningto text-dependent speaker recognition and text-independent speaker recognition systems. In a text-dependent system, the recognition phrases are fixed (known beforehand). The user can be prompted to read a randomly selected sequence of numbers. However, in a text-independent speaker recognition syste

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eucalyptus

Emotion Recognition from Speech Signals Using Machine Learning and Deep Learning Techniquesrithms, these can be applied to develop highly accurate speech emotion recognition systems (SER systems). Hence, this paper explores deep neural network (DNN) architectures and machine learning approaches to recognise emotions from speech signals. The project involves multiple steps, starting with t

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Micro-expression Detection Using Main Directional Maximal Differential Analysis (MDMD) Methodly a fraction of a second, so it’s difficult to deceit such expressions. The subtleness of these expressions poses a significant challenge to the naked eye; hence, a lot of work and researches has been made to detect and recognize these facial micro-expressions. One of the challenges for the detecti

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季雨

Morsel

Bone Cancer Survivability Prognosis with KNN and Genetic Algorithmsians in providing more informed decisions specifically in evaluating proper probability attributes (risk) in relation to outcome (impact) and subsequently the overall result (expected outcome) of treatment procedures. Predictability on survival in health care is very much related to a decision-makin

neuron

BeamAtt: Generating Medical Diagnosis from Chest X-Rays Using Sampling-Based Intelligence economically downtrodden nations, this produces opportunity for the poor to acquire world-class treatment from around the globe with an efficient time to market. Chest X-ray images are integral to the task of diagnosis and treatment of respiratory problems. In this paper, we propose BeamAtt: an end

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