Capturing Brain Response Patterns to Subcallosal Cingulate Deep Brain Stimulation Using Cycling fMRI: A Proof-of-Concept Study: Acquisition de schémas cérébraux de réponse à la stimulation cérébrale profonde ciblant le cortex cingulaire subgénual à l'aide de l'IRMf en cycles : étude de validation. [PDF]
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Consciousness Disturbances Reported With Clindamycin Versus Cefazolin in Surgical Patients: A Global Pharmacovigilance Analysis Using VigiBase. [PDF]
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Tracking the dynamic evolution of lithium-ion battery recycling technology using natural language processing. [PDF]
Yan J, Zhang Z.
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Understanding generative AI output with embedding models. [PDF]
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Synchronous Data Flow Programming with the Language SIGNAL
IFAC Proceedings Volumes, 1987Abstract We present tre language SIGNAL, which is a data-flow oriented real time, synchronous, side effect-free language suited to the expression ani recovery of the parallelism in signal or image processing algorithms. The language is intended to be at the same time an executable simulation language, and a specification of a virtual machine ...
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ACLAN: a parallel programming language for signal processing
Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering', 2003A description is given of ACLAN (Array C LANguage), a programming language that extends C language by endowing it with parallel structures for programming array processors. Operators are provided which control local (intranode) and remote (internode) data transfer, and the programmer can specify the registers or local memory locations of the nodes ...
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DISIPLE: digital signal processor programming language and environment
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990A compiler for signal processing applications with high-level language control structures and the ability to express computational parallelism is described. There are two expert system back-ends that generate code using advice about the architecture of the target machine(s).
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Investigation of Distance Digital Signal Processing Courses based on Modern Programming Languages
2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020In this article modern digital signal processing (DSP) distance courses was discussed based on comparative analysis. As the result of analysis it is became possible to determine the general specificity of distance courses and main advantages and disadvantages that affect significant reduction of audience of courses.
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Programming an offline-analyzer of motor imagery signals via python language
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011Brain Computer Interface (BCI) systems control the user's environment via his/her brain signals. Brain signals related to motor imagery (MI) have become a widespread method employed by the BCI community. Despite the large number of references describing the MI signal treatment, there is not enough information related to the available programming ...
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