Analysis of microwave radiometric measurements from Skylab [PDF]
There are no author-identified significant results in this ...
Hollinger, J. P., Lerner, R. M.
core +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Emotional Memory Processing during REM Sleep with Implications for Post-Traumatic Stress Disorder. [PDF]
J Neurosci, 2023 Rho YA, Sherfey J, Vijayan S.
europepmc +1 more source
Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan +3 more
wiley +1 more source
Frequency Selectivity of Persistent Cortical Oscillatory Responses to Auditory Rhythmic Stimulation. [PDF]
J Neurosci, 2021 Pesnot Lerousseau J +3 more
europepmc +1 more source
A study of the application of singular perturbation theory [PDF]
A hierarchical real time algorithm for optimal three dimensional control of aircraft is described. Systematic methods are developed for real time computation of nonlinear feedback controls by means of singular perturbation theory. The results are applied
Carroll, J. V. +3 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
Sequence Analysis and Structure Prediction of SARS-CoV-2 Accessory Proteins 9b and ORF14: Evolutionary Analysis Indicates Close Relatedness to Bat Coronavirus. [PDF]
Biomed Res Int, 2020 Baruah C, Devi P, Sharma DK.
europepmc +1 more source
Dynamic modeling, property investigation, and adaptive controller design of serial robotic manipulators modeled with structural compliance [PDF]
Research results on general serial robotic manipulators modeled with structural compliances are presented. Two compliant manipulator modeling approaches, distributed and lumped parameter models, are used in this study.
Lin, Shyng-Her +2 more
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong +3 more
wiley +1 more source