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Fuzzy Based Hybrid Focus Value Estimation for Multi Focus Image Fusion

Computers, Materials & Continua 2022年第4期71卷 735-752页

作者： Muhammad Ahmad M.Arfan Jaffar fawad nasim Tehreem Masood Sheeraz Akram The Superior University Lahore 54000Pakistan University of Pittsburgh 15213USA

Due to limited depth-of-field of digital single-lens reflex cameras,the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred(out-of-focus)in the ***-Focus Image Fusion can be used to reconstruct a fully focused image from two or more partially focused images of the same *** this paper,a new Fuzzy Based Hybrid Focus Measure(FBHFM)for multi-focus image fusion has been *** block size is very critical step for multi-focus image *** Swarm Optimization(PSO)algorithm has been used to find optimal size of the block of the images for extraction of focus measure *** finding optimal blocks,three focus measures Sum of Modified Laplacian,Gray Level Variance and Contrast Visibility has been extracted and combined these focus measures by using intelligent fuzzy *** based hybrid intelligent focus values were estimated using contrast visibility measure to generate focused *** sets of multi-focus images have been used in detailed experimentation and compared the results with state-of-the-art existing techniques such as Genetic Algorithm(GA),Principal Component Analysis(PCA),Laplacian Pyramid discrete wavelet transform(DWT),and aDWT for image *** has been found that proposed method performs well as compare to existing methods.

关键词： Fuzzy logic multi-focus image fusion defocus focus contrast visibility focus measure

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Intelligent Sound-Based Early Fault Detection System for Vehicles

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Computer Systems Science & Engineering 2023年第9期46卷 3175-3190页

作者： fawad nasim Sohail Masood Arfan Jaffar Usman Ahmad Muhammad Rashid Superior University LahorePakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan National University of Technology IslamabadPakistan

An intelligent sound-based early fault detection system has been proposed for vehicles using machine *** system is designed to detect faults in vehicles at an early stage by analyzing the sound emitted by the *** detection and correction of defects can improve the efficiency and life of the engine and other mechanical *** system uses a microphone to capture the sound emitted by the vehicle and a machine-learning algorithm to analyze the sound and detect faults.A possible fault is determined in the vehicle based on this processed *** classification is done at the first stage to differentiate between faulty and healthy *** collected noisy and normal sound samples of the car engine under normal and different abnormal conditions from multiple workshops and verified the data from *** used the time domain,frequency domain,and time-frequency domain features to detect the normal and abnormal conditions of the vehicle *** used abnormal car data to classify it into fifteen other classical vehicle *** experimented with various signal processing techniques and presented the comparison *** the detection and further problem classification,random forest showed the highest results of 97%and 92%with time-frequency features.

关键词： Sound classification signal processing random forest random tree time-frequency domain J48

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Data-Driven Probabilistic S for Batsman Performance Prediction in a Cricket Match

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Intelligent Automation & Soft Computing 2023年第6期36卷 2865-2877页

作者： fawad nasim Muhammad Adnan Yousaf Sohail Masood Arfan Jaffar Muhammad Rashid Superior University Lahore54000Pakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan National University of Technology Islamabad44000Pakistan

Batsmen are the backbone of any cricket team and their selection is very critical to the team’s success.A good batsman not only scores run but also provides stability to the team’s *** most important factor in selecting a batsman is their ability to score *** is a generally accepted notion that the future performance of a batsman can be predicted by observing and analyzing their past *** hypothesis is based on the fact that a player’s batting aver-age is generally considered to be a good indicator of their future *** proposed a data-driven probabilistic system for batsman performance prediction in the game of *** captures the dependencies between the runs scored by a batsman in consecutive *** system is evaluated using a dataset extracted from the Cricinfo *** system is based on a Hidden Markov model(HMM).HMM is used to generate the prediction model to foresee players’upcoming *** first-order Markov chain assumes that the probabil-ity of a batsman scoring runs in the next ball is only dependent on how many runs he scored in the current *** use a data-driven approach to learn the para-meters of the HMM from data.A probabilistic matrix is made that predicts what scores the batter can do on the upcoming *** results show that the system can accurately predict the runs scored by a batsman in a ball.

关键词： Probabilistic matrix hidden markov model batsman performance prediction

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