In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invi...In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invites applications for a tenure-track position in Integrative Systems Engineering(ISE) at the Assistant Professor level to begin September 2009.展开更多
Agile Transformations are challenging processes for organizations that look to extend the benefits of Agile philosophy and methods beyond software engineering.Despite the impact of these transformations on orga-nizati...Agile Transformations are challenging processes for organizations that look to extend the benefits of Agile philosophy and methods beyond software engineering.Despite the impact of these transformations on orga-nizations,they have not been extensively studied in academia.We conducted a study grounded in workshops and interviews with 99 participants from 30 organizations,including organizations undergoing transformations(“final organizations”)and companies supporting these processes(“consultants”).The study aims to understand the motivations,objectives,and factors driving and challenging these transformations.Over 700 responses were collected to the question and categorized into 32 objectives.The findings show that organizations primarily aim to achieve customer centricity and adaptability,both with 8%of the mentions.Other primary important objectives,with above 4%of mentions,include alignment of goals,lean delivery,sustainable processes,and a flatter,more team-based organizational structure.We also detect discrepancies in perspectives between the objectives identified by the two kinds of organizations and the existing agile literature and models.This misalignment highlights the need for practitioners to understand with the practical realities the organizations face.展开更多
Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&am...Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.展开更多
Yongduan Song(PhD,PE,Fellow IEEE,AAIA,CAA)received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&...Yongduan Song(PhD,PE,Fellow IEEE,AAIA,CAA)received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.He was one of the six Langley Distinguished Professors with the National Institute of Aerospace(NIA),USA,and the Founding Director of Cooperative Systems with NIA.His current research interests include intelligent systems.展开更多
Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&am...Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA),USA,and the Founding Director of Cooperative Systems with NIA.His current research interests include intelligent systems,guidance navigation and control,and bio-inspired adaptive and cooperative systems.展开更多
In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses Deep Learning (DL) to classify...In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses Deep Learning (DL) to classify and detect brain tumors. Next, we present a detailed analysis of the ML methods in tabular form to address the brain tumor morphology, accessible datasets, segmentation, extraction, and classification using DL, and ML models. Finally, we summarize all relevant material for tumor detection, including the merits, limitations and future directions. In this study, it is found that employing DL-based and hybrid-based metaheuristic approaches proves to be more effective in accurately segmenting brain tumors, compared to the conventional methods. However, the brain tumor segmentation using ML models suffers from drawbacks due to limited labelled data, variability in tumor appearance, computational memory requirements, transparency in models, and difficulty in integration into clinical workflows. By pursuing techniques such as Data Augmentation, Pre-training, Active-learning, Multimodal fusion, Hardware acceleration, and Clinical integration, researchers and developers can overcome the bottlenecks and enhance the accuracy, efficiency, and clinical utility of ML-based brain tumor segmentation models.展开更多
Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creati...Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions all over the world are welcome.Tsinghua Sci Technol is indexed by SCI,Engineering index(Ei,USA),INSPEC,and other abstracting indexes.Manuscripts are selected for publication according to the editorial assessment of their suitability and evaluation from independent reviewers.Papers are usually sent to two or more reviewers including one reviewer out of China.Editorial staff will edit accepted papers to improve accuracy and clarity and shorten,if necessary.展开更多
Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creati...Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.展开更多
Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creati...Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions all over the world are welcome.展开更多
Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creati...Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions al over the world are welcome.Tsinghua Sci Technol is indexed by SCI,Engineering index(Ei,USA),INSPEC,and other abstracting indexes.展开更多
文摘In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invites applications for a tenure-track position in Integrative Systems Engineering(ISE) at the Assistant Professor level to begin September 2009.
基金funding from the European Commission for the Ruralities Project(grant agreement no.101060876).
文摘Agile Transformations are challenging processes for organizations that look to extend the benefits of Agile philosophy and methods beyond software engineering.Despite the impact of these transformations on orga-nizations,they have not been extensively studied in academia.We conducted a study grounded in workshops and interviews with 99 participants from 30 organizations,including organizations undergoing transformations(“final organizations”)and companies supporting these processes(“consultants”).The study aims to understand the motivations,objectives,and factors driving and challenging these transformations.Over 700 responses were collected to the question and categorized into 32 objectives.The findings show that organizations primarily aim to achieve customer centricity and adaptability,both with 8%of the mentions.Other primary important objectives,with above 4%of mentions,include alignment of goals,lean delivery,sustainable processes,and a flatter,more team-based organizational structure.We also detect discrepancies in perspectives between the objectives identified by the two kinds of organizations and the existing agile literature and models.This misalignment highlights the need for practitioners to understand with the practical realities the organizations face.
文摘Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.
文摘Yongduan Song(PhD,PE,Fellow IEEE,AAIA,CAA)received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.He was one of the six Langley Distinguished Professors with the National Institute of Aerospace(NIA),USA,and the Founding Director of Cooperative Systems with NIA.His current research interests include intelligent systems.
文摘Yongduan Song (PhD,PE,Fellow IEEE,AAIA,CAA) received the Ph.D.degree in electrical and computer engineering from Tennessee Technological University,USA,in 1992.He held a tenured Full Professor with North Carolina A&T State University,USA,from 1993 to 2008 and a Langley Distinguished Professor with the National Institute of Aerospace,USA,from 2005 to 2008.He is currently the Chair Professor with School of Automation,Chongqing University.He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA),USA,and the Founding Director of Cooperative Systems with NIA.His current research interests include intelligent systems,guidance navigation and control,and bio-inspired adaptive and cooperative systems.
文摘In this research report, various Machine Learning (ML) models are discussed for the purpose of detecting brain anomalies like tumors. In the first step, we review previous work that uses Deep Learning (DL) to classify and detect brain tumors. Next, we present a detailed analysis of the ML methods in tabular form to address the brain tumor morphology, accessible datasets, segmentation, extraction, and classification using DL, and ML models. Finally, we summarize all relevant material for tumor detection, including the merits, limitations and future directions. In this study, it is found that employing DL-based and hybrid-based metaheuristic approaches proves to be more effective in accurately segmenting brain tumors, compared to the conventional methods. However, the brain tumor segmentation using ML models suffers from drawbacks due to limited labelled data, variability in tumor appearance, computational memory requirements, transparency in models, and difficulty in integration into clinical workflows. By pursuing techniques such as Data Augmentation, Pre-training, Active-learning, Multimodal fusion, Hardware acceleration, and Clinical integration, researchers and developers can overcome the bottlenecks and enhance the accuracy, efficiency, and clinical utility of ML-based brain tumor segmentation models.
文摘Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions all over the world are welcome.Tsinghua Sci Technol is indexed by SCI,Engineering index(Ei,USA),INSPEC,and other abstracting indexes.Manuscripts are selected for publication according to the editorial assessment of their suitability and evaluation from independent reviewers.Papers are usually sent to two or more reviewers including one reviewer out of China.Editorial staff will edit accepted papers to improve accuracy and clarity and shorten,if necessary.
文摘Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.
文摘Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions all over the world are welcome.
文摘Tsinghua Science and Technology(Tsinghua Sci Technol),an academic journal sponsored by Tsinghua University,is published bimonthly.This journal aims at presenting the up-to-date scientific achievements with high creativity and great significance in computer and electronic engineering.Contributions al over the world are welcome.Tsinghua Sci Technol is indexed by SCI,Engineering index(Ei,USA),INSPEC,and other abstracting indexes.
