Machine learning techniques and tools: a survey

O Obulesu, M Mahendra… - … conference on inventive …, 2018 - ieeexplore.ieee.org
In the current world lots of electronic data is generated in each and every field. These data
contains useful information to predict the future. Due to the huge in size, the manual …

The companion of Enrico's chart for phase noise and two-sample variances

E Rubiola, F Vernotte - IEEE Transactions on Microwave Theory …, 2023 - ieeexplore.ieee.org
Phase noise and frequency (in) stability both describe the fluctuation of stable periodic
signals from somewhat different standpoints. Frequency is unique compared to other …

Optical atomic clock comparison through turbulent air

MI Bodine, JD Deschênes, IH Khader, WC Swann… - Physical Review …, 2020 - APS
We use frequency-comb-based optical two-way time-frequency transfer (O-TWTFT) to
measure the optical frequency ratio of state-of-the-art ytterbium and strontium optical atomic …

Traceable frequency measurements with counters

D Piester, E Staliuniene, A Bauch - Measurement Science and …, 2024 - iopscience.iop.org
Abstract Received signals from Global Navigation Satellite Systems (GNSS) are nowadays
widely used by industry laboratories for ensuring metrological traceability for their respective …

Hardware computing module for frequency Ω-counter

P Kwiatkowski, A Beczek - Measurement, 2024 - Elsevier
We present a hardware computing module that calculates the frequency using timestamps
and the linear regression method. This solution is known as the frequency Ω-counter and its …

Avoiding aliasing in Allan variance: an application to fiber link data analysis

CE Calosso, C Clivati, S Micalizio - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Optical fiber links are known as the most performing tools to transfer ultrastable frequency
reference signals. However, these signals are affected by phase noise up to bandwidths of …

The parabolic variance (PVAR): A wavelet variance based on the least-square fit

F Vernotte, M Lenczner, PY Bourgeois… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper introduces the parabolic variance (PVAR), a wavelet variance similar to the Allan
variance (AVAR), based on the linear regression (LR) of phase data. The companion article …

Diabetes prediction using machine learning techniques

K Suresh, O Obulesu, BV Ramudu - Helix-The Scientific Explorer …, 2020 - helixscientific.pub
Diabetes Mellitus is one of the growing fatal diseases all over the world. It leads to
complications that include heart disease, stroke, and nerve disease, kidney damage. So …

Ultra-high sensitivity atomic magnetometers

W Lee - 2022 - search.proquest.com
Alkali-metal magnetometers can provide a precise measurement of magnetic fields,
including their operation in Earth's ambient environments. In this thesis, we present …

Improved digital dual-mixer time-difference technique and its applications

P Křen - Measurement, 2022 - Elsevier
The dual-mixer time-difference (DMTD) technique is used for precise low-noise time
comparisons. Its digital version (D-DMTD) was also already developed. The paper describes …