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Guest Editorial: Special Section on AI-Based Biomedical Circuits and Systems
2020
IEEE Transactions on Biomedical Circuits and Systems
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However, most of the existing work for AI-based biomedical applications mainly focus on the AI algorithm design. ...
Tofighi Zavareh et al.
6) Review of AI-based biomedical processing algorithms
and processors: comprehensive review on the state of the
arts and trends of the AI-based biomedical processing
algorithms ...
His major research interests include energy-efficient digital signal processor design, ultra-low-voltage circuit design, MEMS sensor ASIC design, and heterogeneous 3D-IC design, especially for biomedical ...
doi:10.1109/tbcas.2020.2978994
fatcat:g2fmguh6rffltilhar2545tw4u
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
2020
IEEE Transactions on Biomedical Circuits and Systems
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biomedical applications at the edge. ...
This paper can serve a large audience, ranging from nanoelectronics researchers to biomedical and healthcare practitioners in grasping the fundamental interplay between hardware, algorithms, and clinical ...
TABLE II A II NUMBER OF RECENT EDGE-AI CMOS CHIPS SUITABLE FOR PORTABLE HEALTHCARE AND BIOMEDICAL APPLICATIONSRNN-CNN
TABLE III EXISTING III HARDWARE IMPLEMENTATIONS AND HARDWARE-BASED SIMULATIONS OF ...
doi:10.1109/tbcas.2020.3036081
pmid:33156792
fatcat:rjwfjd7vmvglpk762mqeyiteqq
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
[article]
2020
arXiv
pre-print
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biomedical applications at the edge. ...
This paper can serve a large audience, ranging from nanoelectronics researchers, to biomedical and healthcare practitioners in grasping the fundamental interplay between hardware, algorithms, and clinical ...
Although there are previous reviews on general AI-based algorithm design and hardware for biomedical applications [25] , to the best of our knowledge, this is the first work where a comprehensive tutorial ...
arXiv:2007.05657v1
fatcat:amqutl3suvgq5nygna4ef36usy
Guest Editorial: IEEE TC Special Issue On Smart Edge Computing and IoT
2021
IEEE transactions on computers
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"ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators" by Mei et al. proposes a memory-centric DNN codesign framework for extending the design space exploration with ...
It shows that EFS based algorithms result in higher accuracy, lower L2 norm, and least number of support vectors compared to LS-SVM variants. ...
Wang et al. design an edge-intelligent hierarchical dynamic pricing mechanism based on cloud-edge client collaboration that utilizes a double-label radius k-nearest neighbors algorithm. ...
doi:10.1109/tc.2021.3082675
fatcat:ffx3cnnozbbivf5zokiil62irq
Harnessing Artificial Intelligence and Machine Learning in Biomedical Applications with the Appropriate Regulation of Data
2021
Journal of Science Policy & Governance
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AI- and ML-based devices and systems have an advantage over traditional medical device systems because they are designed to learn and improve using large databases of actual or simulated patient data. ...
quality of care for patients. ...
Acknowledgements The authors would like to acknowledge the organizers of the National Science Policy Network's Science Policy Memo workshop for providing an environment in which the authors could receive ...
doi:10.38126/jspg180102
fatcat:tldd5arotvdtdbeeez43p3zlg4
2020 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 14
2020
IEEE Transactions on Biomedical Circuits and Systems
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., 1333-1345 Ivorra, A., see Malik, S., TBCAS Aug. 2020 867-878 Iwata, A., see Kikkawa, T., 1333-1345 J Jafari, R., see ...
., +, TBCAS Aug. 2020 825-837 A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications. ...
., +, TBCAS Dec. 2020 1195-1206 Fuzzy neural networks A Review of Algorithm & Hardware Design for AI-Based Biomedical Applications. ...
doi:10.1109/tbcas.2021.3059009
fatcat:rthgi6nrxzeaxkkwqwx753nrze
IMS 2022
2021
IEEE Microwave Magazine
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diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for ...
RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization ...
doi:10.1109/mmm.2021.3088046
fatcat:hqrdk2khtbedzgx6kczud2qdqy
IMS2022 CFP
2021
IEEE Microwave Magazine
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diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for ...
RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization ...
doi:10.1109/mmm.2021.3102285
fatcat:fgbstxnv7bbyfaqcx7alpanvam
IMS 2022
2021
IEEE Microwave Magazine
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diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for ...
RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization ...
doi:10.1109/mmm.2021.3077744
fatcat:rmqv7y7yfvfbde6qejjh6q3hni
IMS2022 CFP
2021
IEEE Microwave Magazine
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diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for ...
RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization ...
doi:10.1109/mmm.2021.3095980
fatcat:d4qb4ql5r5cjxkyzhvyqx3vfmi
IMS 2022
2021
IEEE Microwave Magazine
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diagnostic applications; systems and instrumentation for biomedical applications; wireless sensors and systems, and implantable and wearable devices for health monitoring and telemedicine. 3@ AI/ML for ...
RF and mmWave -AI/ML algorithms, implementations, and demonstrations for spectrum sensing, mobile edge networking, and MIMO and array beam operations and management; AL/ML algorithms for design and optimization ...
doi:10.1109/mmm.2021.3094086
fatcat:5b7lfe4v4vhsbl436vgs6gbtta
IJMLNCE Editorial Note Volume No 03, Issue No 04
2020
International Journal of Machine Learning and Networked Collaborative Engineering
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The Second research article suggested "The mechanism for Predictive Load Control v cons of biomedical engineering in the health care industry.. ...
The discussion has been concluded with the observation that biomedical engineering can be deeply integrated with healthcare, and various devices and instruments can be designed to cure various diseases ...
The integration of these technology trends in the public sector is the elixir for infinite issues such as lack of resources and allocation of the public spending on buying new tools for the business continuation ...
doi:10.30991/ijmlnce.2019v03i04
fatcat:bmorqooalrarvks6wj6v46sxh4
Hardware-assisted Machine Learning in Resource-constrained IoT Environments for Security: Review and Future Prospective
2022
IEEE Access
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INDEX TERMS AI-based IoT security, Hardware-based machine learning, IoT intrusion detection, Trusted embedded devices I. INTRODUCTION ...
This review aims to illuminate the value of various approaches for addressing IoT security in a truly effective, flexible, and seamless manner, as well as to provide answers to questions about tradeoffs ...
attackers Merenda et al., [37] Review of implementing edge machine learning on Internet of Things devices Xu et al., [38] State-of-the-art hardware-based attacks on DNN with focus on hardware Trojans ...
doi:10.1109/access.2022.3179047
fatcat:damwrncpzzbxzamtghwlmrg6v4
Recent trends in neuromorphic engineering
2016
Big Data Analytics
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We hope that this review would serve as a handy reference to both beginners and experts, and provide a glimpse into the broad spectrum of applications of neuromorphic hardware and algorithms. ...
There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits. ...
It has around 450 citations and is the subject of review articles in AI Review, the Egyptian Informatics Journal, and Neural Computing and Applications (Springer). ...
doi:10.1186/s41044-016-0013-1
fatcat:oyjitbviy5cdpesqwo6fp5tpgu
AI in Health: State of the Art, Challenges, and Future Directions
2019
IMIA Yearbook of Medical Informatics
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The increase in computer hardware and software applications in medicine, as well as digitization of health-related data together fuel progress in the development and use of AI in medicine. ...
Artificial intelligence (AI) technologies continue to attract interest from a broad range of disciplines in recent years, including health. ...
Biomedical Literature Data Published reports in the biomedical literature are another important source of data for AI in health applications. ...
doi:10.1055/s-0039-1677908
pmid:31419814
pmcid:PMC6697503
fatcat:mhxvvtvvbzdffmha73cfxy3nua
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