Results 111 to 120 of about 51,577 (270)
Data detection algorithms for perpendicular magnetic recording in the presence of strong media noise [PDF]
As the throughput and density requirements increase for perpendicular magnetic recording channels, the presence of strong media noise degrades performance.
Jackson, Robert Charles
core
The Prediction Performance Analysis of the Lasso Model with Convex Non-Convex Sparse Regularization
The incorporation of ℓ1 regularization in Lasso regression plays a crucial role by inducing convexity to the objective function, thereby facilitating its minimization; when compared to non-convex regularization, the utilization of ℓ1 ...
Hancong Li +3 more
core +1 more source
Different Tools on Multi-Objective Optimization of a Hybrid Artificial Neural Network – Genetic Algorithm for Plasma Chemical Reactor Modelling [PDF]
, 2012 A hybrid ANN-GA was successfully developed to model, to simulate and to optimize simultaneously a catalytic–DBD plasma reactor. The integrated ANN-GA method facilitates powerful modeling and multi-objective optimization for co-generation of synthesis ...
Istadi, Istadi +3 more
core +1 more source
Applied System InnovationA major challenge for massive multiple-input multiple-output (MIMO) technology is designing an efficient signal detector. The conventional linear minimum mean square error (MMSE) detector is capable of achieving good performance in large antenna systems ...
Imran A. Khoso +5 more
doaj +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
The Challenge of Modeling High Speed Flows [PDF]
, 2007 Current and expected developments in space transportation have led to growing interest in new space vehicles. These new vehicles require essential improvements over current vehicles in order to ensure economic viability and to fullfill mission and safety
Hannemann, K. +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
On the impact of communication complexity in the design of parallel numerical algorithms
, 1984 This paper describes two models of the cost of data movement in parallel numerical algorithms. One model is a generalization of an approach due to Hockney, and is suitable for shared memory multiprocessors where each processor has vector capabilities ...
Gannon, D., Vanrosendale, J.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
Low Complexity Iterative Algorithms in Channel Coding and Compressed Sensing
, 2013 Iterative algorithms are now widely used in all areas of signal processing and digital communications. In modern communication systems, iterative algorithms are notably used for decoding low-density parity-check (LDPC) codes, a popular class of error ...
Danjean, Ludovic
core