Visual analysis has potential to be used for recognition, and it is one of the hottest but most difficult subjects in computer vision. In order to identify pedestrian movement in an Intelligent Security Monitoring System, the video activity in the prospect is represented by a series of spatio-temporal interest points. Since human posture has the characteristics of uncertainty and illegibility, ...

Abstract I-Device (Intelligent Devices) is one of the fastest growing devices since beginning this decade. Some its major problems are accuracy and performance. This study aims to present an improvement in performance those devices. We used a simulation application for I-Devices conduct experiment. The was built based on classifying results using Logarithmic learning Generalized Classifier Neur...

BACKGROUND AND OBJECTIVE The volume of healthcare data is growing rapidly with the adoption of health information technology. We focus on automated ICD9 code assignment from discharge summary content and methods for evaluating such assignments. METHODS We study ICD9 diagnosis codes and discharge summaries from the publicly available Multiparameter Intelligent Monitoring in Intensive Care II (...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

Rolling bearing fault diagnosis is a meaningful and challenging task. Most methods first extract statistical features then carry out diagnosis. At present, the technology of intelligent identification mostly relies on deep neural network, which has high requirements for computer equipment great effort in hyperparameter tuning. To address these issues, rolling method based improved forest algori...

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here.  The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...

A three way collaboration between industry and two UK universities led to the development of an intelligent spend analysis system. In this paper we outline how a novel combination of the ‘Decision Tree’ and ‘Bayesian Classifier’ algorithms, working with ‘big data’ on a real world e-procurement problem, led to the development of sophisticated, A.I. driven, intelligent spend analysis software, su...

Combustion quality in power station boilers plays an important role in minimizing the flue gas emissions. In the present work various intelligent schemes to infer the flue gas emissions by monitoring the flame colour at the furnace of the boiler are proposed here. Flame image monitoring involves capturing the flame video over a period of time with the measurement of various parameters like Carb...

text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...