A multiplicative Nakagami speckle reduction algorithm for ultrasound images by Yu, Chengpu, Zheng, Cishen, Xie, Lihua

“…A 2D total variation regularized Nakagami speckle reduction algorithm is derived based on the maximum a posteriori estimation framework, which performs well in restoring piecewise-smooth reflectivity and preserving fine details of the image. …”
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Measuring dynamical uncertainty with Revealed Dynamics Markov Models by Bramson, Aaron, Baland, Adrien, Iriki, Atsushi

“…While previous measures capture local noise or the regularity of short patterns, our measures track holistic features of time series dynamics that also satisfy criteria as being approximate measures of information generation (Kolmogorov entropy). …”
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Towards indicating human skin state in vivo using geometry-dependent spectroscopic contrast imaging by Ni, Guangming, Ge, Xin, Liu, Lin, Zhang, Jing, Wang, Xiangzhou, Liu, Juanxiu, Liu, Linbo, Liu, Yong

“…We previously reported on geometry-dependent spectroscopic contrast achieved by spectroscopic micro-optical coherence tomography (SμOCT), which discovered that transversely oriented and regularly arranged nano-cylinders selectively backscatter the long-wavelength lights and generate spectral centroid (SC) shifts towards the long wavelengths within a spectral window of 700 - 950 nm. …”
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OOD detection for 1D LiDAR scans by Mishra, Pradyumn

“…This paper focuses on enhancing OOD detection in the context of LiDAR-based autonomous vehicle navigation, using VAEs and β-VAEs, the latter designed to encourage disentanglement in the latent space by adjusting a regularization parameter, β. Additionally, this study evaluates the models on varied track environments using the F1tenth framework, to measure of these OOD detection architectures across varied environments.…”
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B-spline tight frame based force matching method by Yang, Jianbin, Zhu, Guanhua, Tong, Dudu, Lu, Lanyuan, Shen, Zuowei

“…In this paper, an L1-regularized least squares model is applied to form the force functions, which makes additional use of the B-spline wavelet frame transform in order to preserve the important features of force functions. …”
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Lasso environment model combination for robust speech recognition by Xiao, Xiong, Li, Jinyu, Chng, Eng Siong, Li, Haizhou

“…We propose to estimate the weights by using Lasso (least absolute shrinkage and selection operator) which imposes an L1 regularization term in the weight estimation problem to shrink some weights to exactly zero. …”
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Formation of Representations in Neural Networks by Ziyin, Liu, Chuang, Isaac, Galanti, Tomer, Poggio, Tomaso

“…We present a minimal-assumption theory demonstrating that the balance between gradient noise and regularization is crucial for the emergence the canonical representation. …”
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Optimizing Cas9-mediated HDR in HEK293 by Lee, Cheryl

“…The most widely used genome editing tool is the Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR associated proteins (Cas) system. …”
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Dynamical analysis of physiologic signals by Noraznita Ramli.

“…ApEn is a measurement designed to quantify the degree of regularity versus unpredictability in a given dataset. [5] DFA is a fractal-related method that provides for estimation of scaling exponents. [6, 7] The purpose of applying these methods is to see whether such techniques based on dynamical analysis add information to conventional statistics.…”
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Development of a low power motion tracking wireless node for IoT applications by Christina, Grace

“…These tracking nodes then regularly send sensors’ movement data to a central device, which in this case is a Raspberry Pi for further processing. …”
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Machine learning based feature extraction from EEG signals for brain-computer interface by Cai, AoChen

“…In this project, a novel feature weighting and regularization (FWR) method which uses all CSP features and its variants is applied with CSP to prevent BCI performance degradation. …”
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Generalized RBF feature maps for efficient detection by Vempati, S, Vedaldi, A, Zisserman, A, Jawahar, CV

“…Furthermore, we investigate a learning method using l1 regularization to encourage sparsity in the final vector representation, and thus reduce its dimension. …”

Super-resolution enhancement of text image sequences by Capel, D, Zisserman, A

“…We then propose two estimators suitable for the enhancement of text images: a maximum a posteriori (MAP) estimator based on a Huber prior and an estimator regularized using the total variation norm. We demonstrate the improved noise robustness of these approaches over the Irani and Peleg estimator. …”

Tissue-specific modulation of CRISPR activity by miRNA-sensing guide RNAs by Garcia-Guerra, A, Sathyaprakash, C, de Jong, O, Lim, W, Vader, P, El Andaloussi, S, Bath, J, Reine, J, Aoki, Y, Turberfield, A, Wood, MA, Rinaldi, C

“…Here, we present CRISPR MiRAGE (miRNA-activated genome editing), a tool comprising a dynamic single-guide RNA that senses miRNA complexed with Argonaute proteins and controls downstream CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) activity based on the detected miRNA signature. …”

Finite element methods for multicomponent convection-diffusion by Aznaran, FRA, Farrell, PE, Monroe, CW, Van-Brunt, AJ

“…Developing a variational formulation for discretizing these equations is challenging: the formulation must balance physical relevance of the variables and boundary data, regularity assumptions, tractability of the analysis, enforcement of thermodynamic constraints, ease of discretization and extensibility to the transient, anisothermal and nonideal settings. …”

Learning to count objects in images by Lempitsky, V, Zisserman, A

“…Learning to infer such density can be formulated as a minimization of a regularized risk quadratic cost function. We introduce a new loss function, which is well-suited for such learning, and at the same time can be computed efficiently via a maximum subarray algorithm. …”

Electronic cigarettes for smoking cessation by Lindson, N, Butler, AR, McRobbie, H, Bullen, C, Hajek, P, Begh, R, Theodoulou, A, Notley, C, Rigotti, NA, Turner, T, Livingstone-Banks, J, Morris, T, Hartmann-Boyce, J

“…People who smoke, healthcare providers and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. …”

Antidiabetic activity of Curculigo latifolia extracts in vitro and in vivo studies by Ishak, Nur Akmal

“…It effectively improved glucose and lipid metabolisms in diabetic-induced rats by increased IGF-1, IRS-1, GLUT4, PPARγ, PPARα,AdipoR1, AdipoR2, leptin, lipoprotein lipase and lipase genes regulation. All of the results demonstrate potential use of C. latifolia in diabetic therapy.…”
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Review of the potential health effects of light and environmental exposures in underground workplaces by Khaing, Nang Ei Ei, Abuduxike, Gulifeiya, Posadzki, Pawel, Divakar, Ushashree, Visvalingam, Nanthini, Nazeha, Nuraini, Dunleavy, Gerard, Christopoulos, George I., Soh, Chee-Kiong, Jarbrink, Krister, Soljak, Michael, Car, Josip

“…As a result, an increasing but unquantified proportion of the population is being regularly exposed to them. We narratively reviewed the literature on the range of possible environmental exposures, and the possible health effects, to identify future research directions. …”
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Half-body portrait relighting with overcomplete lighting representation by Song, Guoxian, Cham, Tat-Jen, Cai, Jianfei, Zheng, Jianmin

“…A key technical innovation is the use of a novel overcomplete lighting representation, which facilitates lighting interpolation in the latent space, as well as helping regularize the self-organization of the lighting latent space during training. …”
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