I am specialized in statistical modeling as well as my interest in artificial intelligence,machine learning,statistics for medical research,statistical applications in engineering,and corrosion control.Currently,I am working on implementing artificial intelligence to model the electric line dynamic ratings using weather big data.Using computer vision to detect and classify corrosionApplying artificial intelligence and machine learning In 2018,Infosys embarked on a proof of concept (PoC) with a mining industry client.The goal was to build an artificial intelligence and machine learning (AI-ML) system to improve the quality,consistency and predictability of corrosion detection.Infosys engineers used dense neural networks,Using Artificial Intelligence to Detect CorrosionUsing Artificial Intelligence to Detect Corrosion Perhaps the main source of damage to human-made structures worldwide is corrosion.More often than not,corrosion takes the form of rust,the ochre coloured layer we all know and that develops over time on metal surfaces.
Recently,artificial intelligence using deep learning technology has demonstrated great success in the medical imaging domain due to its high capability of feature extraction (911).Specifically,deep learning was applied to detect and differentiate bacterial and viral pneumonia on pediatric chest radiographs ( 12 ,Title Data Scientist / Consultant at AlLocation Perak,MalaysiaEfficient Multi-Object Detection and Smart Navigation Visually impaired people face numerous difficulties in their daily life,and technological interventions may assist them to meet these challenges.This paper proposes an artificial intelligence-based fully automatic assistive technology to recognize different objects,and auditory inputs are provided to the user in real time,which gives better understanding to the visually impaired person Special Issue Moving Object Detection and Control Using Special Issue Moving Object Detection and Control Using Remote Sensing and Artificial Intelligence as well as very effective methods of artificial intelligence in the form of evolutionary algorithms and neuro-fuzzy regulators. explore shipwrecks or observe the process of corrosion of munitions abandoned on the seabed after World War
Corrosion detection using Artificial Intelligence#0183;The corrosion of low-temperature sections of a company's atmospheric and vacuum distillation unit was analyzed.Corrosion rate prediction model was established using BP neural network based on the corrosion detection data detected in the sewage on top of the tower over a period of time.In this model,the pH value,Cl ion concentration,Fe ion concentration and sulfide concentration of the Saudi Aramco Energy Ventures Invests in Corrosionradar With the worldwide cost of corrosion at $2.5 trillion,a co-ordinated effort cannot come soon enough.CorrosionRADAR is showing that a sustainable path to increased safety and dramatically reduced costs is achievable right now,using new technology and wireless connectivity.
Apr 23,2020 Corrosion detection using Artificial Intelligence#0183;The modeling and simulation of a leak detection system with incidence localization for a multiproduct unidirectional flow pipeline is presented in this paper.The research work employs the pressure profile of the pipeline using artificial intelligence (AI) with pressure sensors situated at regular intervals (100 m) along the pipeline.A pipeline of total length 1500 m was modeled with pressure Monitoring With Artificial Intelligence and Machine LearningMay 26,2017 Corrosion detection using Artificial Intelligence#0183;Monitoring With Artificial Intelligence and Machine Learning Published May 26,2017 by Preetam Jinka and I wrote the book on using anomaly detection for monitoring.Although we didnt write extensively about machine learning,machine learning is just a better way (in some cases) to do the same techniques.Image Processing-Based Detection of Pipe Corrosion Using AbstractIntroductionMaterial and MethodsExperimental Results and DiscussionConclusionData AvailabilityConflicts of InterestSupplementary MaterialsTo maintain the serviceability of buildings,the owners need to be informed about the current condition of the water supply and waste disposal systems.Therefore,timely and accurate detection of corrosion on pipe surface is a crucial task.The conventional manual surveying process performed by human inspectors is notoriously time consuming and labor intensive.Hence,this study proposes an image processing-based method for automating the task of pipe corrosion detection.Image texture including sSee more on hindawiCited by 7Publish Year 2019Author Nhat-Duc Hoang,Van-Duc TranUsing TensorFlow Object Detection API for Corrosion Image Classification of Rust Via Transfer-LearningLocalization and Detection of RustDetecting Localizing Rust with TensorFlow Object Detection APIFor the first step of Image classification (rust and norust),we use the pre-trained VGG16 model that Keras provides out-of-the-box via a simple API.Since we are applying transfer-learning,lets freeze the convolutional base from this pre-trained model and train only the last fully connected layers.The results are pretty amazing! We get an accuracy of 87%,without any major tinkering with the hyper-parametersor trying out different pre-traSee more on blog.floydhubDETECTION OF CORROSION UNDER INSULATION AymanGoal A predictive technique for detecting the corrosion under insulation.It is based on Infrared sensors (thermography) and Artificial Intelligent principles.Date 1 February 2017 - 1 November 2020
The applications of DAS and artificial intelligence in pipeline corrosion detection and damage classification is also discussed in this paper.This paper reports a combined technique to enhance Rayleigh scattering signal in optical fiber and deep neutralDetection and Analysis of Pitting Corrosion using - GitHubThe advancements of technology in especially in the field of artificial intelligence and machine learning can be used to take preventive measures in a timely manner to reduce monetary and health damages.Pitting corrosion is one of the most common forms of corrosion in metals like Steel and Aluminium.Deep learning applications for corrosion detection The issue with quantity and quality of corrosion data sets.These are some significant innovations in detecting corrosion with deep learning.However,Matias draws attention to a study on A review of deep learning in the study of material degradation which underlines the need for a publicly available large data sets to drive innovation in corrosion detection with deep learning,same as
Using artificial intelligence to assist inspections can increase safety,reduce access costs,provide objective classification,and integrate with digital asset management systems.The work presented herein investigates the impact of dataset size on Deep Learning for automatic detection of corrosionDeep Learning AI for Corrosion Detection NACEMar 24,2019 Corrosion detection using Artificial Intelligence#0183;Using artificial intelligence to assist inspections can increase safety,reduce access costs,provide objective classification,and integrate with digital asset management systems.The work presented herein investigates the impact of dataset size on Deep Learning for automatic detection of corrosion on steel assets.Corrosion detection using Artificial Intelligence Nov 18,2017 Corrosion detection using Artificial Intelligence#0183;One of the key indicators most asset managers look for during inspections is the presence of corrosion.Therefore,this feasibility study has focused on automatic rust detection.This project created an autonomous classifier that enabled detection of rust present in pictures or frames.
Mar 12,2021 Corrosion detection using Artificial Intelligence#0183;Corrosion on ships costs the industry up to $80bn a year,something that could be smoothed over via the use of artificial intelligence.The ABS AI Corrosion DetectionCorrosion Detection - American Bureau of ShippingThe ABS Corrosion Detection product is a digital tool powered by machine learning for early-stage analysis of visual data like images and video.Machine learning is a branch of artificial intelligence and is defined as a group of computer algorithms used to simulate intelligent behavior in accurately identifying critical risks and potential failures.CorrDetector A Framework for Structural Corrosion The importance of this problem has promoted an active research community aiming to support the engineer through the use of artificial intelligence (AI) image analysis for corrosion detection.In this paper,we advance this area of research with the development of a framework,CorrDetector.
May 02,2019 Corrosion detection using Artificial Intelligence#0183;ABS,Google Cloud and SoftServe completed a pilot project applying artificial intelligence (AI) models to detect levels of corrosion and coating breakdown on ships and offshore structures.The project successfully demonstrated the accuracy of AI in detecting and assessing structural anomalies commonly found during visual inspection.Cited by 6Publish Year 2019Author Will Nash,Tom Drummond,Nick BirbilisABS Tests Artificial Intelligence for Corrosion DetectionABS,Google Cloud and SoftServe completed a pilot project applying artificial intelligence (AI) models to detect levels of corrosion and coating breakdown on ships and offshore structures.TheCited by 4Publish Year 2019Author Yuan Yao,Yang Yang,Yanpeng Wang,Xuefeng ZhaoBig data and machine learning for prediction of corrosion Scenario and Use Case of Our HackathonBackground Info Pipeline Pigs and Big DataPrediction of Fatigue Or Corrosion in PipelinesCorrelation with Other Data Sources and Dealing with Unstructured DataResultsIn our hackathon,we set up a mixed team of business representatives,experienced developers,data scientists and domain (pipeline) experts.In total we were around 10 people involved.We had good support from Microsoft with some of their experts within Azure and machine learning.The approach of having an interdisciplinary team turned out to be crucial for the success of the hackathon.Our dataset came from an onshore pipeline system with a total length of 1455 miles.We had both pipe state data (dSee more on blogs.dnvglAutomated Corrosion Detection Using Crowd SourcedThe automated detection of corrosion requires deep learning to approach human level artificial intelligence (A.I.).The training of a deep learning model requires intensive image labelling,and in order to generate a large database of labelled images,crowd sourced labelling via a
Sep 01,2019 Corrosion detection using Artificial Intelligence#0183;A new method for hull structural plate corrosion damage detection and recognition based on artificial intelligence using CNN is proposed,which makes up for the research gap of applying deep learning into corrosion damage detection in the field ofCORROSION DETECTION USING A.I. A COMPARISON OFIn this paper we present a comparison between standard computer vision techniques and Deep Learning approach for automatic metal corrosion (rust) detection.For the classic approach,a classification based on the number of pixels containing specific red components has been utilized.The code written in Python used OpenCV libraries to compute and categorize the images.Automating DDoS mitigation with artificial intelligenceOct 24,2019 Corrosion detection using Artificial Intelligence#0183;Automating DDoS mitigation with artificial intelligence Businesses can quickly detect/remediate DDoS attacks and minimize downtime using artificial intelligence and machine learning Distributed Denial of Service (DDOS) attacks are becoming prevalent due to their multi-vector nature and the ability to morph over time.
The automated detection of corrosion requires deep learning to approach human level intelligence.Training of a deep learning model requires intensive image labeling,and in order to generate a large database of labeled images,crowdsourced labeling via a dedicated website was sought.Artificial Intelligence applied for electrical grid Drones are being used for overhead line inspection worldwide.They can cover a lot of area quickly,taking thousands of pictures and collecting gigabytes of video,spectral,and thermal data all during one flight.To take advantage of that visual power,Avitas Systems,a GE venture created a platform to analyze the data in real time,applying artificial intelligence to inspection data to Artificial Intelligence applied for electrical grid Drones are being used for overhead line inspection worldwide.They can cover a lot of area quickly,taking thousands of pictures and collecting gigabytes of video,spectral,and thermal data all during one flight.To take advantage of that visual power,Avitas Systems,a GE venture created a platform to analyze the data in real time,applying artificial intelligence to inspection data to
We combine video analytics,artificial intelligence,image recognition,data science underwater drone inspections to deliver innovative machine learning and deep learning solutions for the maritime industry.Identify safety and security violations Path Intrusion detection Corrosion detection Twistlock detection Anomaly detectionABS Tests Artificial Intelligence Tools for Detecting ABS,Google Cloud and Ukrainian software company SoftServe have completed a pilot project using artificial intelligence (AI) models to detect corrosion and coating breakdown on ships and offshore(PDF) Corrosion Detection Using A.I A Comparison of Sep 28,2020 Corrosion detection using Artificial Intelligence#0183;The importance of this problem has promoted an active research community aiming to support the engineer through the use of artificial intelligence (AI) image analysis for corrosion detection.