The Kalman filter variants extended (EKF) and error-state (ESKF) are widely used in underwater multi-sensor fusion applications for localization navigation. Since these filters designed by employing first-order Taylor series approximation the error covariance matrix, they result a decrease estimation accuracy under high nonlinearity. In order to address this problem, we proposed novel algorithm vehicle that improves state augmentation of radial basis function (RBF) neural network with ESKF....

In this work, we propose a unified approach to evaluating the CDF and PDF of indefinite quadratic forms in Gaussian random variables. Such quantity appears many applications communications, signal processing, information theory, adaptive filtering. For example, mean-square-error (MSE) analysis normalized least-mean-square (NLMS) algorithm, SINR associated with each beam forming applications. The trick proposed is replace inequalities that appear calculation unit step functions use complex...

Recently, CNNs have become very popular in the machine learning field, due to their high predictive power classification problems that involve dimensional data with tens of hundreds different classes. CNN is a natural extension MLP few modifications which resulted breakthrough. Mainly, algebraic dot product as similarity function was replaced 2-d convolution; addition pooling layer reduces parameter dimensions making model equi-variant translations, distortions, and transformations. The...

Drones are increasingly capturing the world's attention, transcending mere hobbies to revolutionize areas such as engineering, disaster aid, logistics, and airport protection, among myriad other fascinating applications. However, there is growing concern about risks that they pose physical infrastructure, particularly at airports, due potential misuse. In recent times, numerous incidents involving unauthorized drones airports disrupting flights have been reported. To solve this issue,...

Serum total cholesterol and protein concentrations are increased with venous occlusion lasting longer than 2 minutes probably due to hemoconcentration. The range of per cent increase in is as large 19.8 41.0 20.0 33.5 respectively at the end 5- 10-minute periods occlusion. This error introduces serious mistakes measurement this important component mechanism atherogenesis.

In this paper, a fixed-time terminal synergetic observer for synchronization of fractional-order nonlinear chaotic systems is proposed. First, attractors are introduced on the basis stability integer-order differential equations and defining particular macro-variables. Second, new dedicated to developed. The proposed converges in predefined uniformly bounded with respect initial conditions. Thanks step-by-step procedure, only one communication channel used achieve synchronization. Third,...

In this letter, we propose techniques for joint transmit and receive beamforming in downlink multi-user MIMO systems under Rayleigh fading channels using knowledge of the second-order statistics. The contribution our work is twofold. First, derive a closed-form expression outage probability general channel model recent covariance shaping method conventional Kronecker structured model. Second, present an minimization technique obtained by designing beamformers. beamformers maximize statistics...

Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. In this paper, the learning algorithm radial is analyzed feedback structure. The robustness discussed presence uncertainties that might be due to noisy perturbations at input or modeling mismatch. An intelligent adaptation rule developed for rate RBFNN which gives faster convergence via an estimate error energy while giving...

Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis assessment considering severe effects mental stress. In contrast other health-related wearable devices, or portable devices for have not developed yet. A major requirement development such a device time-efficient algorithm. This study investigates performance computer-aided approaches assessment. Machine learning (ML) are compared in terms...

Hepatic cavernous hemangiomas are benign tumors of the liver that often an incidental finding. They usually asymptomatic but may cause symptoms when traumatized, bleed spontaneously, or produce pain by virtue their large size and mass effect. A retrospective analysis clinical presentation, function tests, diagnostic imaging procedures in 20 patients with hepatic is presented literature reviewed. The had 27 lesions as seen on scintigraphy, computed tomography, sonography....

This paper characterizes the performance metrics of MU-MIMO systems under Rayleigh fading channels in presence both cochannel interference and additive noise with unknown channel state information known correlation matrices. In first task, we derive analytical expressions for cumulative distribution function instantaneous signal-to-interference-plus-noise ratio (SINR) any deterministic beamvectors. As a second exact closed-form are derived capacity, upper bound on ergodic Gram-Schmidt...

Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some regularization of the provides robustness enhances performance. Interestingly, updating parameter processing data continuously time is a desirable strategy to improve performance applications beamforming. While presented works literature assume non-time-varying regularized RLS (RRLS) techniques, this paper deals with time-varying RRLS varies...

Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when the covariance matrix ill-conditioned. This often occurs feature space’s dimensionality higher than or comparable to training size. Regularized LDA (RLDA) methods based on regularized linear estimators of have been proposed cope with such situation. RLDA well studied, optimal regularization schemes...

No AccessJournal of Urology1 Feb 1983Serial Spot Hydroxyproline/Creatinine Ratios in Metastatic Prostatic Cancer S.C. Hopkins, I. Nissenkorn, G. M.A. Palmieri, M. Ikard, Moinuddin, and M.S. Soloway HopkinsS.C. Hopkins More articles by this author , NissenkornI. Nissenkorn Current address: Beilinson Medical Center, Petah Tiqva, Israel. PalmieriG. Palmieri IkardM. Ikard MoinuddinM. Moinuddin SolowayM.S. View All Author Informationhttps://doi.org/10.1016/S0022-5347(17)52076-5AboutPDF ToolsAdd...

This paper presents exact mean-square analysis of the -NLMS algorithm for circular complex correlated Gaussian input. The is based on derivation a closed form expression cumulative distribution function (CDF) random variables ∥ui∥ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</sub> xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> <sup xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> /(ϵ + ) and using that to derive first second moments...

Radial basis function (RBF) is well known to provide excellent performance in approximation and pattern classification. The conventional RBF uses functions which rely on distance measures such as Gaussian kernel of Euclidean (ED) between feature vector neuron’s center, so forth. In this work, we introduce a novel artificial neural network (ANN) where the utilizes linear combination ED based cosine computes angle center vectors. Novelty proposed work relies fact that have shown there may be...

Mental stress has been identified as a significant cause of several bodily disorders, such depression, hypertension, neural and cardiovascular abnormalities. Conventional assessment methods are highly subjective tedious tend to lack accuracy. Machine-learning (ML)-based computer-aided diagnosis systems can be used assess the mental state with reasonable accuracy, but they require offline processing feature extraction, rendering them unsuitable for real-time applications. This paper presents...

Pulmonary artery occlusion due to histoplasmosisS Wieder, TJ White, 3rd, J Salazar, RE Gold, M Moinuddin and I TonkinAudio Available | Share