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Respiratory Diseases Detection using Machine Learning

Shubham Shitole
2021 International Journal for Research in Applied Science and Engineering Technology  
CNN algorithm is then applied to classify the images for detection of Respiratory disease. After detection of disease, report will be generated and submitted to patient.  ...  The system proposes to build "Predictive Diagnostic System" of infectious lung by using the concept of image processing in conjunction with machine learning.  ...  Pre-Processing Pre-processing is the step in which image denoising algorithms like gray scale, thresholding and edge detection are applied on the images.  ... 
doi:10.22214/ijraset.2021.35507 fatcat:ke5ccc6enrcbxhrdokyowtax3u

Intelligent optimal control of thermal vision-based Person-Following Robot Platform

Ivan Ciric, Zarko Cojbasic, Vlastimir Nikolic, Tomislav Igic, Branko Tursnek
2014 Thermal Science  
The main part of the high level control loop of mobile robot platform is a real-time robust algorithm for human detection and tracking.  ...  The support vector machine classifier determines whether the segmented object is human or not based on features extracted from the processed thermal image independently from current light conditions and  ...  of the Ministry of Education, Science and Technological Development of Republic of Serbia and DAAD named "A Novel Approach for Human Detection and Tracking in Robotics".  ... 
doi:10.2298/tsci1403957c fatcat:2xvkv6t5yjhszlyhmzgbgfoeb4

Modular Real-Time Face Detection System

Kaiyu Wang, Zhiming Song, Menglin Sheng, Ping He, Zhenan Tang
2015 Annals of Data Science  
The first layer of face detection algorithm based on skin color and eyes' graylevel variation is implemented in the FPGA, and then the corresponding detection results and image are transmitted to the second  ...  module by USB bus so as to further detect face using the algorithm combining principle component analysis with support vector machine, which is referred to as the second layer of algorithm.  ...  Acknowledgments Thanks to the support by National Natural Science Foundation of China (Nos. 70771030 and 70271047) and Project Science Foundation of Guangzhou University.  ... 
doi:10.1007/s40745-015-0064-6 fatcat:g5rrvgzexnfwxlq6hkefvexbxi

A Boltzmann Machine Implementation for the D-Wave [article]

John E. Dorband
2016 arXiv   pre-print
A Boltzmann machine is implemented with the D-Wave since the D-Wave is merely a hardware instantiation of a partially connected Boltzmann machine.  ...  This paper presents a prototype implementation of a 3-layered neural network where the D-Wave is used as the middle (hidden) layer of the neural network.  ...  A partially connected Boltzmann machine has some connections between units within a layer, in this case that of D-Wave, a Chimera graph.  ... 
arXiv:1606.06123v1 fatcat:7d2ydcmuzzb7xgqxoyive7kxkm

Machine Vision System for Counting Small Metal Parts in Electro-Deposition Industry

Furferi, Governi, Puggelli, Servi, Volpe
2019 Applied Sciences  
The system is implemented on a counting machine, which is meant to be adopted in the galvanic industrial practice to properly define a suitable set or working parameters (such as the current, voltage,  ...  The devised method, which relies on the definition of a rear projection-based acquisition system and on the development of image processing-based routines, is able to properly count the number of items  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2019, 9, 2418  ... 
doi:10.3390/app9122418 fatcat:wzsydi62jvgpngjes74yt4imom

Programmable active memories in real-time tasks: implementing data-driven triggers for LHC experiments

D. Belosloudtsev, P. Bertin, R.K. Bock, P. Boucard, V. Dörsing, P. Kammel, S. Khabarov, F. Klefenz, W. Krischer, A. Kugel, L. Lundheim, R. Männer (+7 others)
1995 Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment  
We report on implementations of local algorithms for feature extraction as part of triggering, using the detectors of the proposed ATLAS experiment as a model.  ...  The algorithms were implemented for a decision frequency of 100 kHz, on different data-driven programmable devices based on structures of field-programmable gate arrays and memories.  ...  It is assumed that two rectangular images are transmitted, one for a low, the other for a high threshold on pulse height.  ... 
doi:10.1016/0168-9002(94)01397-7 fatcat:zhxa6dj4jvacdd5zbzj3nnvaim

Mass Lesion Detection Using Wavelet Decomposition Transform and Support Vector Machine

Ayman AbuBaker
2012 International Journal of Computer Science & Information Technology (IJCSIT)  
A study of the characteristics of true masses compared to the falsely detected masses is carried out using wavelet decomposition transform combining with support vector machine (SVM).  ...  A study of detecting regions of interest, extracting the wavelet features and choosing the optimal learning parameters for support vector machine are also presented in this paper.  ...  ACKNOWLEDGEMENTS The author is grateful to the Applied Science Private University, Amman, Jordan, for the financial support granted to cover the publication fee of this research article.  ... 
doi:10.5121/ijcsit.2012.4203 fatcat:jm35whcbanfn3d3zkclrslynf4

A Novel Approach for Vehicle License Plate Localization and Recognition

Muhammad H Dashtban, Zahra Dashtban, Hassan Bevrani
2011 International Journal of Computer Applications  
Then, it is tried to find connected objects with 8-connectivity of the differentiated binary image. The binarization of license plate is based on local binarizing.  ...  In the license plate localization, after some essential preprocessing and finding edges, the 8-connectivity of image background eliminates which helps more appropriately separating of main image objects  ...  This technique in software area is chiefly based on concept and principles of machine vision.  ... 
doi:10.5120/3167-4382 fatcat:7hb42wp24zbf3cxervq7eiamxy

Machine Learning Algorithms for Prediction of Penetration Depth and Geometrical Analysis of Weld in Friction Stir Spot Welding Process [article]

Akshansh Mishra, Raheem Al-Sabur, Ahmad K. Jassim
2022 arXiv   pre-print
The present research work is based on the prediction of penetration depth using Supervised Machine Learning algorithms such as Support Vector Machines (SVM), Random Forest Algorithm, and Robust Regression  ...  It observed that the Robust Regression machine learning algorithm outperformed the rest of the algorithms by resulting in the coefficient of determination of 0.96.  ...  Support Vector Regression algorithm provides the flexibility to provide a proper definition on the acceptance of a range of errors in the implemented Machine Learning model and further gives a hyperplane  ... 
arXiv:2201.09725v1 fatcat:kspn5chorvga3lhj4zg3swbg4m

Hierarchical Manifold Clustering on Diffusion Maps for Connectomics (MIT 18.S096 final project) [article]

Gergely Odor
2016 arXiv   pre-print
In this paper, we introduce a novel algorithm for segmentation of imperfect boundary probability maps (BPM) in connectomics. Our algorithm can be a considered as an extension of spectral clustering.  ...  We also introduce a novel criterion for determining if further splits are necessary in a component based on it's topological properties.  ...  For comparison, we note that GALA ran on a 1024 × 1024 × 100 dataset whereas HMSC ran on the 200 × 200 Boundary map (see in figure), and we are showing the corresponding 200 × 200 image segments from the  ... 
arXiv:1607.06318v1 fatcat:bxn2s7p6sngwlc6ng3hpaowhqy

Text versus non-text distinction in online handwritten documents

Emanuel Indermühle, Horst Bunke, Faisal Shafait, Thomas Breuel
2010 Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10  
A state-of-the art classifier then distinguishes between text and non-text zones. The second system follows a bottom-up approach that classifies connected components.  ...  Experiments are performed on a new dataset of online handwritten documents containing different content types in arbitrary arrangements.  ...  Whitespace Analysis This algorithm, which was introduced by Baird [1] , analyzes the background of a document image.  ... 
doi:10.1145/1774088.1774090 dblp:conf/sac/IndermuhleBSB10 fatcat:lfi4kkbxjnd35ewgtdlrziag3y

Almond Dispersion Detector for a New Almond Picker Apparatus using Coupled Image Segmentation and Genetic Algorithm

Farzad Rahmani, Mahmood Mahmoodi-Eshkaftaki
2015 International Journal of Computer Applications  
The objective of this study was to develop a machine vision system for detecting almond drop from trees on the ground during the harvesting stage.  ...  To attach this goal, in the machine vision system, the segmentation technique was coupled by genetic algorithm technique.  ...  Thus, in order to label the connected pixels as a region, the connected component label algorithm was applied on the image.  ... 
doi:10.5120/ijca2015905426 fatcat:7frm3lpim5elhnr5y5kf73lmju

A Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines

Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
2009 2009 10th International Conference on Document Analysis and Recognition  
The ALCM is then binarized using an adaptive thresholding algorithm to get a rough estimate of the location of the text lines.  ...  The proposed technique is based on a generalized adaptive local connectivity map (ALCM) using a steerable directional filter.  ...  We have implemented a local adaptive thresholding algorithm similar to that presented in [13] .  ... 
doi:10.1109/icdar.2009.79 dblp:conf/icdar/ShiSG09 fatcat:wysbtgfabrhjdhnde22bxh2bxq

A Real-Time Weed Mapping and Precision Herbicide Spraying System for Row Crops

Yanlei Xu, Zongmei Gao, Lav Khot, Xiaotian Meng, Qin Zhang
2018 Sensors  
Weed detection was performed through a machine vision sub-system that used a custom threshold segmentation method, an improved particle swarm optimum (IPSO) algorithm, capable of segmenting the field images  ...  The VRHS system also used a lateral histogram-based algorithm for fast extraction of weed maps. This was the basis for determining real-time herbicide application rates.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18124245 fatcat:dkd6riipxvfa7ezs2tpznqsxei

Real-Time Guiding Catheter and Guidewire Detection for Congenital Cardiovascular Interventions [chapter]

YingLiang Ma, Mazen Alhrishy, Maria Panayiotou, Srinivas Ananth Narayan, Ansab Fazili, Peter Mountney, Kawal S. Rhode
2017 Lecture Notes in Computer Science  
To solve those challenges in real-time, a localized machine learning algorithm is built to distinguish between guiding catheters and artifacts.  ...  A minimum energy method is developed to trace the whole wire object. Finally, the proposed methods are tested on 1102 images which are from 8 image sequences acquired from 3 clinical cases.  ...  With some modifications of the localized machine learning algorithm, it can potentially detect intervention devices such as balloons, stents, and coils.  ... 
doi:10.1007/978-3-319-59448-4_17 fatcat:q4bvnccmwvamlhxtdo4k6feq24
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