This study provides a thorough analysis of earlier DL techniques used to classify the ECG data. The large variability among individual patients and high expense labeling clinical records are main hurdles in automatically detecting arrhythmia by electrocardiogram (ECG). classification (ECG) arrhythmias using novel more effective technique is presented this research. A high-performance (ECG)-based arrhythmic beats system described research develop plan with an autonomous feature learning...

This article presents the modelling of a system that aims to predict satisfaction customer through his emotions. must customer's behavior in decision-making process. For this end, first we extract geometric features form emotional faces, captured from local camera placed near products. Then, satisfaction, have classified these using adapted SVM classifier. The kinds are satisfied, not satisfied and neutral. Our shows good performance, testing it on JAFFE dataset.

Object detection has been one of the most studied topics in computer vision literature. To detect an object image, detector must have knowledge characteristics object. Various approaches utilized such as Haar-Like features, color information, texture, edge orientation, etc. While numerous methods proposed to extract information using Haar-like feature, we are unaware any surveys on this particular topic. For reason wrote paper for surveying different researches features.

Nowadays, Customer satisfaction is important for businesses and organizations.Manual methods exist, namely surveys distributing questionnaires to customers.However, marketers are looking quick ways get effective efficient feedback results their potential customers.In this paper, we propose a new method facial emotion detection recognize customer's using machine-learning techniques.We used landmark point; extract geometric features from emotional faces distances landmarks points.Indeed,...

The huge number of Web Things (WoT) services make their discovery a real challenge. One strategy to deal with this challenge is reduce, as much possible, the discovered using different mechanisms such semantic Web-based clustering. However, most existing approaches are better suitable for static context and don't consider dynamicity gateways. Moreover, them centralized approaches. In paper we propose distributed WoT architecture. Our architecture leverages three filtering mechanisms:...

Face Sketch recognition has been one of the most studied topics in Forensic literature. The automatic retrieval suspect photos from mug-shot police data-base can help them, quickly reduce and deduct potential suspects, but cases, photographic image a is not available. best substitute often sketch based on memory an eyewitness or victim. Generally, this process slow really effective, it does allow to find arrest right suspect. So, stronger algorithm for even partial face be useful. Although...

This paper presents a novel method for matching of face sketch images with photo images. The basic idea is to extract perfect ratios and as features calculate the distance between them by using fuzzy hamming distance. To ratios, we use point landmarks in then sixteen will be extract. An experimental evaluation demonstrates satisfactory performance our approach on CUHK dataset. It can applied any existing sketches set. observed that proposed algorithm competitor other relative approaches....

Computer-aided diagnosis has the potential to replace or at least support medical personnel in their everyday responsibilities such as diagnosis, therapy, and surgery. In area of ophthalmology, artificial intelligence approaches have been incorporated most frequent ocular disorders, choroidal neovascularization (CNV), diabetic macular oedema (DMO), DRUSEN; these illnesses pose a significant risk vision loss. Optical coherence tomography (OCT) is an imaging technology used diagnose...

The main contribution of this paper is the modeling and implementation an automatic facial expression analysis system for measuring emotional customer that can predict their behavior in decision-making. model based on POEM algorithm to extract face features detect emotions. Then, we classify those emotions by SVM classifier satisfaction.

<p class="western" style="margin-top: 0.21cm; margin-bottom: 0cm;" lang="en-US" align="justify"><span style="color: #000000;"><span style="font-size: small;">Information and communication technologies (ICT) know a significant development especially in terms of hardware miniaturization, cost reduction energy consumption optimization. This advancement enables the interconnection large number physical objects namely using Internet, forming what is called Internet Things (IoT)....

Automated analysis of human affective behavior has attracted increasing attention from researchers in psychology neuroscience, linguistics, computer science and related disciplines. Nowadays, emotional factors are important as classic functional aspects customer purchasing behavior. Recent studies have shown that most our choices decisions the result a careful product advantages disadvantages aspects. Psychological literature recognizes conditions always present influence every stage...

In this paper, we propose a new modeling methodology for Moroccan sociolect recognition used on the social media. It is based detecting language of each word in text: classical Arabic, Tamazight, French or English, determination dominant and processing words belonging to sociolect.

This paper describes our new deep learning system based on a comparison between GRU and CNN. Initially we start with the first which uses Convolutional Neural Network (CNN) will compare second Gated Recurrent Unit (GRU). And through this propose positive points of two previous systems. Therefore, take right choice hyperparameters recommended by authors both At final stage method to apply dataset different languages (used especially in socials networks) around single subject, case sport...

This paper propose a new approch to detect rotated object at distinct angles using the Viola-Jones detector. Our idea is based on three key points: The first method allowing finding possible rotate normal Haar-Like feature, without destroy its sides. tangent of each angle equal an rational number i.e. arctan(Y/X) where Y and X are integers. second point manifested by use this determine pixels forming sides feature. In latter, we solution that makes approximate Integral image feature generic angle.

Face detection and tracking is challenging problem in image processing computer vision. In the last few years, it has received a great attention because of its many applications based on various methods different fields such as law enforcement, security so on. are two processes done by using approaches. It applied mainly surveillance. The main purpose these detect track face even poor viewing conditions surveillance application. This paper describes techniques used for tracking, their...

In our previous work, we have proposed a new approach to detect rotated object at distinct angles using the ViolaJones detector. This consists in feeding groups of Haar features presented by Viola & Jones, Lienhart and others other which are any angle. this paper extended set called normal asymmetric features. To concretize method, test algorithm on two databases (Umist CMU-PIE), containing faces attributed many variations scale, location, orientation (in-plane rotation), pose (out-of-plane...

Autism is a complex neuro - developmental condition characterized by challenges in social interaction and communication. Early diagnosis intervention are crucial for effective support. This paper presents novel approach autism detection leveraging Convolutional Neural Networks (CNNs) to analyze eye gaze patterns. The pro0posed method aims provide an objective efficient tool the early screening of Autism. We begin collecting data from diverse sample individuals, including both -diagnosed non...

Automatic age and gender classification has become a very important field today, which is used in several applications (e.g. social networks). The key factors that influence clearly the recognition rate are Feature Extraction Function (FEF) method. need to further improve this continues increase day by day. To try enhance rate, we propose contribution an approach based on: Discrete Shearlet Transform (DST) us first step of manual feature extraction layer, Deep Convolutional Neural Network...

Today, hi-tech world reveals a clear evolution, under the guise of facilitating everyday human life. The need independent living, recognized in case visually impaired people who are facing main problems social fetters. Moving through an unknown environment depending just on their other senses or walking stick becomes challenge for them. understanding is computer vision solution those people. In this paper, we choose to discuss some field basis. Starting by image segmentation within Cellular...

In this paper, we will model a learning scenario adopting case study strategy by using recursive entity modeling method (REMM). The purpose is, on the one hand, to test modifications that have brought REMM in previous work, as well demonstrate ability of active strategies, and other design pedagogical based which be useful scenarios strategy.

Content Based Image Retrieval has been one of the most popular topics in computer vision literature. CBIR offers opportunity to research from a huge multimedia database and with appropriate methods relevant collections images that have characteristics similar case(s) interest. In forensic field, many possible uses crime fighting also investigated as potential image-based search technology. This paper presents new use approach an important application can assist law enforcement solving...