Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Baris Aksanli"'
Autor:
Fatemeh Asgarinejad, Anthony Thomas, Ryan Hildebrant, Zhenyu Zhang, Shangping Ren, Tajana Rosing, Baris Aksanli
Publikováno v:
Information, Vol 15, Iss 8, p 490 (2024)
There is a growing interest in the early prediction of outcomes in ongoing business processes. Predictive process monitoring distills knowledge from the sequence of event data generated and stored during the execution of processes and trains models o
Externí odkaz:
https://doaj.org/article/106a286732d54012aa46bb3a5a0dd1dc
Publikováno v:
Sensors, Vol 24, Iss 3, p 1014 (2024)
Traditional systems for indoor pressure sensing and human activity recognition (HAR) rely on costly, high-resolution mats and computationally intensive neural network-based (NN-based) models that are prone to noise. In contrast, we design a cost-effe
Externí odkaz:
https://doaj.org/article/a171a9c6150944c49fc79b9d4af60217
Autor:
Alice Sokolova, Dhiman Sengupta, Martin Hunt, Rajesh Gupta, Baris Aksanli, Fredric Harris, Harinath Garudadri
Publikováno v:
IEEE Access, Vol 10, Pp 54301-54312 (2022)
Hearing loss is a common problem affecting the quality of life for thousands of people. However, many individuals with hearing loss are dissatisfied with the quality of modern hearing aids. Amplification is the main method of compensating for hearing
Externí odkaz:
https://doaj.org/article/4616c6707e704367a307e770b5fc4269
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction operations required such as accumulation. To reduce th
Externí odkaz:
https://doaj.org/article/8d9e29a275f54d51b88bdf2df16d9b7c
Autor:
Saipriyati Singh, Baris Aksanli
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 8, Iss 3, p 40 (2019)
This paper presents a framework to accurately and non-intrusively detect the number of people in an environment and track their positions. Different from most of the previous studies, our system setup uses only ambient thermal sensors with low-resolu
Externí odkaz:
https://doaj.org/article/adf1fccffd87490e87af3bbda9d988e7
Autor:
Sagar Shelke, Baris Aksanli
Publikováno v:
Sensors, Vol 19, Iss 4, p 804 (2019)
Convergence of Machine Learning, Internet of Things, and computationally powerful single-board computers has boosted research and implementation of smart spaces. Smart spaces make predictions based on historical data to enhance user experience. In th
Externí odkaz:
https://doaj.org/article/e963f3108c554e8fa1551a4be7418afe
𝖧𝗒𝖣𝖱𝖤𝖠: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-25
Today’s systems rely on sending all the data to the cloud and then using complex algorithms, such as Deep Neural Networks, which require billions of parameters and many hours to train a model. In contrast, the human brain can do much of this learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6343224740dfff2d5e4005a5dbcb967
https://doi.org/10.1145/3524067
https://doi.org/10.1145/3524067
Publikováno v:
IEEE Sensors Journal. 22:11355-11363
Sensor placement in wireless sensor networks (WSN) aims to maximize coverage while minimizing total deployment cost. However, existing coverage-only approaches do not consider the robustness of the entire system where sensors may break down or malfun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d40725e3f8c18cc1636eb76002fc33b
https://doi.org/10.1109/jsen.2021.3075930
https://doi.org/10.1109/jsen.2021.3075930
Publikováno v:
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6ac9f257dc7a71e282437e9b071c66
https://doi.org/10.1145/3576914.3587484
https://doi.org/10.1145/3576914.3587484
Autor:
Tinaqi Zhang, Sahand Salamat, Behnam Khaleghi, Justin Morris, Baris Aksanli, Tajana Simunic Rosing
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45be87e22e000ef6283d8c5584e4f7b7
https://doi.org/10.1109/isqed57927.2023.10129332
https://doi.org/10.1109/isqed57927.2023.10129332