Pub Date : 2024-04-05DOI: 10.1080/24725854.2024.2339345
Wei Yang, Daniel Fregosi, Micheal Bolen, Kamran Paynabar
PV (photovoltaic) systems, also known as solar panel systems, play an essential role in the mitigation of greenhouse gas emissions and the promotion of renewable energy. Through the conversion of s...
{"title":"Anomaly Detection in PV Systems using Constrained Low-Rank and Sparse Decomposition","authors":"Wei Yang, Daniel Fregosi, Micheal Bolen, Kamran Paynabar","doi":"10.1080/24725854.2024.2339345","DOIUrl":"https://doi.org/10.1080/24725854.2024.2339345","url":null,"abstract":"PV (photovoltaic) systems, also known as solar panel systems, play an essential role in the mitigation of greenhouse gas emissions and the promotion of renewable energy. Through the conversion of s...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140571274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-29DOI: 10.1080/24725854.2024.2337068
Marios Papachristou, M. Amin Rahimian
We study distributed estimation and learning problems in a networked environment where agents exchange information to estimate unknown statistical properties of random variables from their privatel...
{"title":"Differentially Private Distributed Estimation and Learning","authors":"Marios Papachristou, M. Amin Rahimian","doi":"10.1080/24725854.2024.2337068","DOIUrl":"https://doi.org/10.1080/24725854.2024.2337068","url":null,"abstract":"We study distributed estimation and learning problems in a networked environment where agents exchange information to estimate unknown statistical properties of random variables from their privatel...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-27DOI: 10.1080/24725854.2024.2335513
Yunsoo Ha, Sara Shashaani
ASTRO-DF is a prominent trust-region method using adaptive sampling for stochastic derivative-free optimization of nonconvex problems. Its salient feature is an easy-to-understand-and-implement con...
{"title":"Iteration Complexity and Finite-Time Efficiency of Adaptive Sampling Trust-Region Methods for Stochastic Derivative-Free Optimization","authors":"Yunsoo Ha, Sara Shashaani","doi":"10.1080/24725854.2024.2335513","DOIUrl":"https://doi.org/10.1080/24725854.2024.2335513","url":null,"abstract":"ASTRO-DF is a prominent trust-region method using adaptive sampling for stochastic derivative-free optimization of nonconvex problems. Its salient feature is an easy-to-understand-and-implement con...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140314036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-19DOI: 10.1080/24725854.2024.2332910
Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal
Active learning provides a framework to adaptively query the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have been proposed in...
{"title":"Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling","authors":"Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal","doi":"10.1080/24725854.2024.2332910","DOIUrl":"https://doi.org/10.1080/24725854.2024.2332910","url":null,"abstract":"Active learning provides a framework to adaptively query the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have been proposed in...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140200375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-19DOI: 10.1080/24725854.2024.2330077
Yan He, Yicheng Kang, Dongdong Xiang, Peihua Qiu
High-dimensional data streams are ubiquitous in modern manufacturing because of their ability to provide valuable information about the industrial system’s performance on a real-time basis. If a sh...
{"title":"Simultaneous Optimal Control of Directional Missed Discovery Rates in Data Stream Diagnosis","authors":"Yan He, Yicheng Kang, Dongdong Xiang, Peihua Qiu","doi":"10.1080/24725854.2024.2330077","DOIUrl":"https://doi.org/10.1080/24725854.2024.2330077","url":null,"abstract":"High-dimensional data streams are ubiquitous in modern manufacturing because of their ability to provide valuable information about the industrial system’s performance on a real-time basis. If a sh...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140200161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1080/24725854.2024.2330994
Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky
Bucket Brigade (BB) is a common approach for dynamic work-sharing in order-picking lines. Differently from typical analysis, we assume heterogeneous orders, which creates blockages and reduced effi...
{"title":"Sequencing heterogeneous orders in Bucket Brigade order-picking lines","authors":"Yossi Bukchin, Eran Hanany, Eugene Khmelnitsky","doi":"10.1080/24725854.2024.2330994","DOIUrl":"https://doi.org/10.1080/24725854.2024.2330994","url":null,"abstract":"Bucket Brigade (BB) is a common approach for dynamic work-sharing in order-picking lines. Differently from typical analysis, we assume heterogeneous orders, which creates blockages and reduced effi...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140147874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1080/24725854.2024.2331583
Sina Ansari, Laurens Debo, Seyed M.R. Iravani
Infomercial call centers answer calls in an order that reduces the number of abandoned calls to minimize lost revenue. We study a multi-class queuing system with a single server and customer abando...
{"title":"Scheduling Policies to Minimize Abandonment Costs in Infomercial Call Centers","authors":"Sina Ansari, Laurens Debo, Seyed M.R. Iravani","doi":"10.1080/24725854.2024.2331583","DOIUrl":"https://doi.org/10.1080/24725854.2024.2331583","url":null,"abstract":"Infomercial call centers answer calls in an order that reduces the number of abandoned calls to minimize lost revenue. We study a multi-class queuing system with a single server and customer abando...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140147852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-12DOI: 10.1080/24725854.2024.2330085
Eun-Yeol Ma, Uichin Lee, Heeyoung Kim
Owing to the difficulties inherent in conducting controlled experiments, recent causal inference studies have focused on developing treatment effect estimation using observational data. One major d...
{"title":"Simultaneous Treatment Effect Estimation and Variable Selection for Observational Data","authors":"Eun-Yeol Ma, Uichin Lee, Heeyoung Kim","doi":"10.1080/24725854.2024.2330085","DOIUrl":"https://doi.org/10.1080/24725854.2024.2330085","url":null,"abstract":"Owing to the difficulties inherent in conducting controlled experiments, recent causal inference studies have focused on developing treatment effect estimation using observational data. One major d...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-06DOI: 10.1080/24725854.2024.2326068
Nurettin Sergin, Jiayu Huang, Tzyy-Shuh Chang, Hao Yan
One important characteristic of modern fault classification systems is the ability to flag the system when faced with previously unseen fault types. This work considers the unknown fault detection ...
{"title":"Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels","authors":"Nurettin Sergin, Jiayu Huang, Tzyy-Shuh Chang, Hao Yan","doi":"10.1080/24725854.2024.2326068","DOIUrl":"https://doi.org/10.1080/24725854.2024.2326068","url":null,"abstract":"One important characteristic of modern fault classification systems is the ability to flag the system when faced with previously unseen fault types. This work considers the unknown fault detection ...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140044203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.1080/24725854.2024.2324080
Marwan ShamsEddin, Hadi El-Amine, Hrayer Aprahamian
We study the problem of large-scale screening in the early stages of a pandemic. In this setting, resources such as testing kits, budget, and hospital beds are scarce, and testing in early stages h...
{"title":"The Impact of Early Large-scale Screening on the Evolution of Pandemics","authors":"Marwan ShamsEddin, Hadi El-Amine, Hrayer Aprahamian","doi":"10.1080/24725854.2024.2324080","DOIUrl":"https://doi.org/10.1080/24725854.2024.2324080","url":null,"abstract":"We study the problem of large-scale screening in the early stages of a pandemic. In this setting, resources such as testing kits, budget, and hospital beds are scarce, and testing in early stages h...","PeriodicalId":56039,"journal":{"name":"IISE Transactions","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139981680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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