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检索条件"机构=Informatics and Computing Program"
387 条 记 录,以下是151-160 订阅
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A microservice-based approach for increasing software reusability in health applications  16
A microservice-based approach for increasing software reusab...
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16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019
作者: Da Silva, Marcio Alexandre Pereira Times, Valeria Cesario De Araujo, Andre Magno Costa Da Silva, Paulo Caetano Center for Informatics Federal University of Pernambuco Recife/PE Brazil Department of Information Systems Federal University of Alagoas Penedo/AL Brazil Master Program in Computing Salvador University Salvador/BA Brazil
Traditionally, legacy Health applications use software architecture models that make it difficult to reuse components. Reusability is an essential attribute in the software lifecycle, as it improves the quality of app... 详细信息
来源: 评论
Efficient and scalable neural residual waveform coding with collaborative quantization
arXiv
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arXiv 2020年
作者: Zhen, Kai Lee, Mi Suk Sung, Jongmo Beack, Seungkwon Kim, Minje Indiana University Luddy School of Informatics Computing and Engineering BloomingtonIN United States Indiana University Cognitive Science Program BloomingtonIN United States Electronics and Telecommunications Research Institute Daejeon Korea Republic of
Scalability and efficiency are desired in neural speech codecs, which supports a wide range of bitrates for applications on various devices. We propose a collaborative quantization (CQ) scheme to jointly learn the cod... 详细信息
来源: 评论
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
arXiv
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arXiv 2024年
作者: Gao, Fengyi Zhang, Xingyu Sivarajkumar, Sonish Denny, Parker E. Aldhahwani, Bayan M. Visweswaran, Shyam Shi, Ryan Hogan, William Bove, Allyn Wang, Yanshan Department of Health Information Management University of Pittsburgh PittsburghPA United States Department of Communication Science and Disorders University of Pittsburgh PittsburghPA United States Intelligent Systems Program School of Computing and Information University of Pittsburgh PittsburghPA United States Department of Physical Therapy University of Pittsburgh PittsburghPA United States Department of Medical Rehabilitation Sciences Umm Al-Qura University Makkah Saudi Arabia Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States Department of Computer Science University of Pittsburgh Medical Center PittsburghPA United States Data Science Institute Medical College of Wisconsin MilwaukeeWI United States Hillman Cancer Center University of Pittsburgh Medical Center PittsburghPA United States
Objective In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improve... 详细信息
来源: 评论
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
arXiv
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arXiv 2021年
作者: Luo, Jun Kitamura, Gene Arefan, Dooman Doganay, Emine Panigrahy, Ashok Wu, Shandong Intelligent Systems Program School of Computing and Information University of Pittsburgh PittsburghPA United States Department of Radiology School of Medicine University of Pittsburgh PittsburghPA United States University of Pittsburgh Medical Center Children’s Hospital of Pittsburgh PittsburghPA United States Department of Biomedical Informatics Department of Bioengineering University of Pittsburgh PA United States
Elbow fracture diagnosis often requires patients to take both frontal and lateral views of elbow X-ray radiographs. In this paper, we propose a multiview deep learning method for an elbow fracture subtype classificati... 详细信息
来源: 评论
Synthetic biology in Indonesia: Potential and projection in a country with mega biodiversity
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Biotechnology Notes 2023年 第1期4卷 41-48页
作者: Sanka, Immanuel Kusuma, Ali Budhi Martha, Faustina Hendrawan, Andre Pramanda, Ihsan Tria Wicaksono, Adhityo Jati, Afif Pranaya Mazaya, Maulida Dwijayanti, Ari Izzati, Nurul Maulana, Muhammad Farhan Widyaningrum, Aulia Reski Synthetic Biology Indonesia (Synbio.id) Jl. Raya Lintas Sumbawa-Bima Block AA No. 1 Boak Village Subdistrict Unter Iwes Sumbawa 84316 Indonesia Department of Chemistry and Biotechnology Tallinn University of Technology Akadeemia tee 15 Tallinn 12618 Estonia Indonesian Centre for Extremophile Bioresources and Biotechnology (ICEBB) Faculty of Life Sciences and Technology Sumbawa University of Technology Jl. Raya Olat Maras Sumbawa 84371 Indonesia Science Communication Steering Committee iGEM Foundation 45 Prospect St Cambridge 02139 MA United States Department of Bio Technology Indonesia International Institute for Life Sciences (i3L) Jl. Pulomas Barat Kav. 88 Pulomas Jakarta 13210 Indonesia Division of Biotechnology Genbinesia Foundation Jalan Swadaya Barat no. 4 Gresik 61171 Indonesia Infection Program Monash Biomedicine Discovery Institute and Department of Microbiology Monash University Melbourne VIC Australia Research Center for Computing Research Organization for Electronics and Informatics National Research and Innovation Agency (BRIN) Cibinong Science Center Jl. Raya Jakarta-Bogor KM 46 West Java Cibinong 16911 Indonesia
Synthetic biology has gained many interest around the globe in the last two decades, not only due to its rapid development but also the potential to provide addressable solutions using standardized design of biologica... 详细信息
来源: 评论
Unveiling hepatitis B biomarkers through genomic network analysis
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Egyptian Journal of Medical Human Genetics 2025年 第1期26卷 1-11页
作者: Adikusuma, Wirawan Firdayani, Firdayani Irham, Lalu Muhammad Santri, Ichtiarini Nurullita Phiri, Yohane Vincent Abero Pitaloka, Dian Ayu Eka Chong, Rockie Sarasmita, Made Ary Satria, Rahmat Dani Research Center for Computing Research Organization for Electronics and Informatics National Research and Innovation Agency (BRIN) Cibinong Indonesia Department of Pharmacy Universitas Muhammadiyah Mataram Mataram Indonesia Research Center for Vaccine and Drugs Research Organization for Health National Research and Innovation Agency (BRIN) South Tangerang Indonesia Faculty of Pharmacy Universitas Ahmad Dahlan Yogyakarta Indonesia Faculty of Public Health Unversitas Ahmad Dahlan Yogyakarta Indonesia Department of Epidemiology and Environmental Health (EEH) University at Buffalo Buffalo USA Department of Pharmacology and Clinical Pharmacy Faculty of Pharmacy Universitas Padjadjaran Sumedang Indonesia Center of Excellence in Higher Education for Pharmaceutical Care Innovation Universitas Padjadjaran Sumedang Indonesia Department of Chemistry and Biochemistry University of California Los Angeles USA Pharmacy Study Program Faculty of Mathematics and Sciences Udayana University Bali Indonesia Department of Clinical Pathology and Laboratory Medicine Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada Yogyakarta Indonesia Integrated Laboratory Installation Dr. Sardjito General Hospital Yogyakarta Indonesia
The infection caused by the Hepatitis B virus (HBV) poses a significant challenge to global health. However, identifying and prioritizing functional biomarkers associated with the disease will allow more focused effor...
来源: 评论
Deep curriculum learning in task space for multi-class based mammography diagnosis
arXiv
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arXiv 2021年
作者: Luo, Jun Arefan, Dooman Zuley, Margarita Sumkin, Jules Wu, Shandong Intelligent Systems Program School of Computing and Information University of Pittsburgh PittsburghPA United States Department of Radiology University of Pittsburgh PittsburghPA United States Magee-Womens Hospital University of Pittsburgh Medical Center PittsburghPA United States Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States Department of Bioengineering University of Pittsburgh PittsburghPA United States
Mammography is used as a standard screening procedure for the potential patients of breast cancer. Over the past decade, it has been shown that deep learning techniques have succeeded in reaching near-human performanc... 详细信息
来源: 评论
VLSI Design of Tree-Based Inference for Low-Power Learning Applications
VLSI Design of Tree-Based Inference for Low-Power Learning A...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Brunno A. Abreu Mateus Grellert Sergio Bampi Graduate Program in Microelectronics (PGMICRO) INF-UFRGS Federal University of Rio Grande do Sul Porto Alegre Brazil Department of Informatics and Statistics − INE Federal University of Santa Catarina (UFSC) Florianópolis Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil
The use of Machine Learning techniques in battery-powered devices has increased in recent years. Therefore, evaluating power-accuracy trade-offs of inference models has become important. This work explores decision tr... 详细信息
来源: 评论
A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms
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IISE Transactions on Healthcare Systems Engineering 2019年 第4期9卷 357-370页
作者: Wang, Kun Patel, Bhavika K. Wang, Lujia Wu, Teresa Zheng, Bin Li, Jing Industrial Engineering Program at School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe United States Department of Radiology Mayo Clinic in Arizona Scottsdale United States School of Electrical and Computer Engineering College of Engineering University of Oklahoma Norman United States
Full-field digital mammography (FFDM) and magnetic resonance imaging (MRI) are gold-standard techniques for breast cancer detection. The newly contrast-enhanced digital mammography (CEDM) integrates the complementary ... 详细信息
来源: 评论
Low-Power and Memory-Aware Approximate Hardware Architecture for Fractional Motion Estimation Interpolation on HEVC
Low-Power and Memory-Aware Approximate Hardware Architecture...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Wagner Penny Guilherme Correa Luciano Agostini Daniel Palomino Marcelo Porto Gabriel Nazar Bruno Zatt Video Technology Research Group − Graduate Program in Computing − Federal University of Pelotas − Pelotas Brazil Sul-rio-grandense Federal Institute − Pelotas Brazil Institute of Informatics − Federal University of Rio Grande do Sul − Porto Alegre Brazil
Nowadays, current video coding standards like the High Efficiency Video Coding (HEVC) implement several complex coding tools, like the Fractional Motion Estimation (FME). An alternative to improve performance and save... 详细信息
来源: 评论