Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Tosiron Adegbija"'
Publikováno v:
IEEE Access, Vol 12, Pp 28036-28056 (2024)
In recent years, the rapid growth of big data and the increasing demand for high-performance computing have fueled the development of novel computing architectures. Among these, in-memory computing architectures that leverage the high-density and low
Externí odkaz:
https://doaj.org/article/5c177aafd6094fa5b7eb425e49c65b01
Autor:
Tosiron Adegbija, Ann Gordon-Ross
Publikováno v:
Computers, Vol 7, Iss 1, p 3 (2017)
Embedded systems have stringent design constraints, which has necessitated much prior research focus on optimizing energy consumption and/or performance. Since embedded systems typically have fewer cooling options, rising temperature, and thus temper
Externí odkaz:
https://doaj.org/article/921253266bfc4d129e0f14220da72c1a
Autor:
Dhruv Gajaria, Tosiron Adegbija
Publikováno v:
Future Generation Computer Systems. 136:231-240
Autor:
James Kuban, Tosiron Adegbija
Publikováno v:
2023 International VLSI Symposium on Technology, Systems and Applications (VLSI-TSA/VLSI-DAT).
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Autor:
Tosiron Adegbija
This paper introduces the jazznet Dataset, a dataset of fundamental jazz piano music patterns for developing machine learning (ML) algorithms in music information retrieval (MIR). The dataset contains 162520 labeled piano patterns, including chords,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6de72734cf3118bbbbe2548ffdb9a6f5
Publikováno v:
2022 IEEE 40th International Conference on Computer Design (ICCD).
Autor:
Dhruv Gajaria, Tosiron Adegbija
Publikováno v:
Journal of Signal Processing Systems. 94:559-577
This paper explores the use of domain-specific architectures for energy-efficient and flexible computing of a variety of workloads, including signal processing applications, in wearable devices. As wearable devices become more popular, and with growi
Autor:
Kyle Kuan, Tosiron Adegbija
Publikováno v:
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).
Autor:
Fatemeh Tehranipoor, Nima Karimian, Renato Cordeiro, Dhruv Gajaria, Ankur Limaye, Tosiron Adegbija
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:3373-3384
Electrocardiogram (ECG) biometric authentication (EBA) is a promising approach for human identification, particularly in consumer devices, due to the individualized, ubiquitous, and easily identifiable nature of ECG signals. Thus, computing architect