ライフサイエンスコーパス: convolution

1 sures (z-test, Welch t-test, and probability convolution).

2 in directing the assembly and subsequent NS convolution.

3 the cross-channel deep features using 1 x 1 convolution.

4 lution whenever the forward problem involves convolution.

5 mal tubule, thick ascending limb, and distal convolution.

6 simulate data from an image based on digital convolution.

7 tabilizer-projection state (MSPS), and a new convolution.

8 liary tree is caused by branching and not by convolution.

9 wide residual networks, dropouts and dilated convolutions.

10 f normal or narrowed caliber along torturous convolutions.

11 o handle deeper architectures than competing convolutions.

12 ons for molecular data compared to invariant convolutions.

13 sed on local (CNN) or global (FNO) nonlinear convolutions.

14 ions with a limited receptive field, such as convolutions.

15 ombine frequency-based features with spatial convolutions.

16 ot predict the evolution of cortical complex convolution after instability, non-linear finite element

17 sotopic envelopes of monomeric units using a convolution algorithm.

18 igned the C2f-DCN module based on deformable convolutions, allowing the convolutions to dynamically a

19 as a renewal equation and using mathematical convolutions allows us to quantify how disturbances with

20 ounds were greatly reduced, and there was no convolution among differently charged ions, even for 40

21 he signal processing employs correlation and convolution analyses to determine precursor masses and c

22 econfigurabilty of XAC circuit to perform 1D convolution and a busbar design to augment a contemporar

23 odule utilizes a three-order recursive gated convolution and a global channel and spatial attention m

24 In this work, we introduce DC3 (De-Convolution and Coupled-Clustering) as a method for the

25 We call our new method the Conic Convolution and DFT Network (CFNet).

26 aint, was overcome by a novel application of convolution and Fast Fourier Transforms.

27 -efficient and low latency implementation of convolution and fully-connected layers in deep neural ne

28 describe new MS/MS database search tools, MS-CONVOLUTION and MS-ALIGNMENT, which implement the spectr

29 Finally, correlations between DG convolution and neocortical gyrification (or capacity fo

30 realize RBC classification; the alternating convolution and pooling operations can deal with non-lin

31 s to separate contigs will allow reliable de-convolution and positioning of sequence scaffolds (see B

32 es that is based on imputations using linear convolution and random walk.

33 d MS-ALIGNMENT, which implement the spectral convolution and spectral alignment approaches to peptide

34 encoded and undergo a combined operation of convolution and squeezing-extraction to unravel motif pa

35 We also prove the efficacy of both the convolution and the BLSTM layers by comparing two variat

36 changes, these two compounds induced nuclear convolution and the formation of multiple micronuclei.

37 provement was architecture agnostic for both convolution and transformer models.

38 el subjected to Axial Coronal Sagittal (ACS) convolutions and a custom VGG16 model are benchmarked to

39 DiCARN leverages dilated convolutions and cascading residuals to capture a broade

40 15 iterations of separable three-dimensional convolutions and data consistency steps.

41 orious for the depth and irregularity of its convolutions and for its variability from one individual

42 d on (3 + 1)D complex-valued spatio-temporal convolutions and multi-coil data processing.

43 dolphins, and porpoises), in which DG size, convolution, and adult neurogenesis have undergone evolu

44 mulate the problem as the inverse of network convolution, and introduce an algorithm that removes the

45 n of cortical surface area, the formation of convolutions, and extraordinarily voluminous subcortical

46 conclusion, starting a model of reading with convolution-and-pooling steps enables the flexibility an

47 -cone model simulations are analyzed using a convolution approach based on Fourier transforms.

48 The least-squares Fourier transform convolution approach can be applied to many types of qua

49 nfidence among data sets, and (iii) mitigate convolution artifacts in tandem mass spectra.

50 sed autophagosomes/autolysosomes and nuclear convolution at early stages, and focal swelling of the p

51 In this work, convolution based on time-wavelength plane stretching ap

52 n Transformer-based attention and deformable convolution-based adaptive feature extraction to help th

53 omputational effort is mitigated by accurate convolution-based approximation.

54 Our second algorithm proposes a convolution-based background model for microendoscopic d

55 In addition, convolution-based edge detection is applied to real-time

56 Further, we describe a convolution-based method for removal of the differential

57 Here, we propose a parameter efficient Graph Convolution-based model, graphB3, which uses detailed in

58 s response at the umbo (1-10 kHz) based on a convolution-based model.

59 re of this work includes three deep-learning convolution-based models.

60 e findings open up the potential for using a convolution-based optoacoustic approach as a new type of

61 on of GABA concentration in the brain causes convolution besides several neurological diseases.

62 lculations are performed by the mathematical convolution between a user-specified, dose-point kernel

63 ill-posed, since the spectrum results from a convolution between source spectrum and the particular h

64 e measurements, however, are the result of a convolution between the DNA "switching" response time an

65 It utilizes convolution block attention (CBAM) and Gaussian adaptive

66 ffle Depthwise Residual block and Deformable Convolution block to extract local features with reduced

67 wo backbone types with seven transformer and convolution block types.

68 y (flight musculature, midgut shape, hindgut convolutions, brain shape and size) and external morphol

69 eport, we discuss ways to compensate for the convolutions by using a combination of strategies whose

70 can occur, greatly speeding up the required convolution calculations.

71 f using group-based harmonic analysis (e.g., convolution calculus) to deal with problems concerning t

72 the STRF and that the responses predicted by convolutions compare favorably with responses evoked by

73 ons of sec61al2 in zebrafish embryos induced convolution defects of the pronephric tubules but not th

74 ivity concentration ratio, dose point-kernel convolution-derived estimates, and Monte Carlo dose esti

75 e transformer architecture alongside dilated convolutions, dHICA boasts an extensive receptive field

76 However, learning convolutions directly from translation-invariant data wi

77 Dose kernel convolution (DK) methods have been proposed to speed up

78 dynamic cell-cycle processes, free from the convolution effects associated with imperfect cell synch

79 antibody diameter, after correcting for tip convolution effects, was determined to be between 7 and

80 Thus, the new method is described by two convolution equations applied in frequency space.

81 d for intestinal tube elongation and surface convolution, examine shared and unique aspects of these

82 Standard convolution FBP was used to reconstruct 140-kVp (protoco

83 ave demonstrated benefits of employing graph convolution for PPI site prediction, but ignore symmetri

84 ew architecture with simple, efficient conic convolution, for classifying microscopy images.

85 paper describes an improved format for Shah convolution Fourier transform (SCOFT) detection that uti

86 ution operator called frame points attention convolution (FPAC).

87 lates at a frequency dependent upon both the convolution function multiplied across each data frame a

88 signal from the reactions was found to be a convolution function of electrochemical current, and the

89 Each image frame is multiplied by a convolution function to modulate the collected signal th

90 ntropies and for Fisher information based on convolution, giving a "second law of thermodynamics for

91 surface-like information via spatio-temporal convolution, giving rise to the new high-dimensional coo

92 Photonic convolution has the promise of addressing computational

93 It is based on stochastic convolution implemented via generalized Malliavin operat

94 overcomes the shortcomings arising from the convolution in conventional time domain interactions.

95 cations correlation analysis outperforms the convolution in determining peptide charge states.

96 Performing photonic convolution in the synthetic frequency dimension, which

97 primary factors in the formation of cerebral convolutions in primates.

98 The convolution integral computed for an injected current wa

99 t of the tissue change can be expressed as a convolution integral of the blood pressure history with

100 e system analysis technique, embodied in the convolution integral, generated an impulse response func

101 Caveolae introduce flask-shaped convolutions into the plasma membrane and help to protec

102 The dilated convolution is able to effectively explore the global pa

103 Convolution is an essential operation in signal and imag

104 he second derivative and Gaussian multiscale convolution is applied to identify the retinal orientati

105 Understanding this convolution is important for therapeutic targeting of tu

106 Laplacian-based convolution is not well suited to single-layered GCNs, a

107 r computed tomographic (CT) scanner type and convolution kernel in a phantom model.

108 m exceeds that of the data record or where a convolution kernel is incorporated in the reconstruction

109 ctrum and the data record are the same and a convolution kernel is not applied, the problem can be so

110 Convolution kernel modification had an inconsistent effe

111 KConv) is proposed to dynamically adjust the convolution kernel size, enabling better multi-scale fea

112 nt is strongly dependent on multidetector CT convolution kernel.

113 with individual combinations of scanner and convolution kernel.

114 age noise reduction, especially with sharper convolution kernels (Bv60: Q1 11.5 +/- 6.3 HU vs. Q4 8.4

115 iterature regarding the link between certain convolution kernels and new models, including delayed an

116 When convolution kernels on specific scanners were compared,

117 ule network (CapsNet) with differently sized convolution kernels to identify saliva-secretory protein

118 feature transformation module decomposes 3D convolution kernels to reduce computational costs; The M

119 criminative power of descriptors by learning convolution kernels to reduce the within-class variation

120 n dose (CTDI(vol) 10, 5, 3 mGy) and matching convolution kernels were performed with PCD-CT and EID-C

121 ctor response was modeled with precalculated convolution kernels.

122 In the DanQ model, the convolution layer captures regulatory motifs, while the

123 Meanwhile, the analysis of convolution layer parameters within the model offers val

124 methods to identify the neurons in the final convolution layer that consistently respond most strongl

125 After that, these gene features pass a convolution layer to generate fused features.

126 nd of each encoder block, and a separable 1D convolution layer was inserted after the first FFN layer

127 extract the most salient pixels in the final convolution layer.

128 ique deep learning model consisting of three convolution layers followed by a long short-term-memory

129 ificial neural network architectures without convolution layers in protein inference.

130 tion, we propose using node similarity-based convolution matrices in GCNs to compute node embeddings

131 Our results show that node similarity-based convolution matrices significantly improve the link pred

132 ponent of GCN-based network embedding is the convolution matrix, which is used to propagate features

133 Our results showed that the 3D-DFT convolution method compared well with MCT calculations.

134 btained from MCT calculations and the 3D-DFT convolution method for the mathematical phantom were in

135 The Fourier convolution method gives a reasonable estimate of the co

136 Spectra obtained by the Fourier convolution method more closely fit the tether-in-a-cone

137 ensional discrete Fourier transform (3D-DFT) convolution method to perform the dosimetry for 131I-lab

138 ution after photobleaching (FRAP) with model convolution methods to compare computer simulations at n

139 We considered an exponential-normal convolution model used for background correction of micr

140 (normexp) is introduced which is based on a convolution model.

141 onstrictions could be captured with a linear convolution model.

142 The standard approach uses linear convolution models that relate experimentally designed i

143 We show this by comparing general linear (convolution) models that formalised competing hypotheses

144 niform dose distributions: dose point-kernel convolution, Monte Carlo simulation, and voxel S factors

145 hich utilized a deep learning model of graph convolution network (GCN) and graph factorization (GF).

146 consider one kind of GNN layer, either graph convolution network (GCN) or graph attention network (GA

147 pula correlation (Ccor), followed by a graph convolution network based clustering approach.

148 e we introduce sc-CGconv (copula based graph convolution network for single clustering), a stepwise r

149 For this, a seven-layer convolution network is employed for both data representa

150 tudy, we propose BiFusion, a bipartite graph convolution network model for DR through heterogeneous i

151 forms, and then uses a class-imbalance Graph Convolution Network to refine the annotations of individ

152 In this work, we propose a graph convolution network-based method called MRNGCN that inte

153 Unlike conventional graph convolution networks always assuming the same node attri

154 cally we are interested in why and how graph convolution networks can help in drug-related tasks.

155 architectural primitives, can implement deep convolution networks that (i) approach state-of-the-art

156 is proposed to integrate cross attention and convolution networks to avoid introducing interfering in

157 Deep neural network (DNN) and Convolution neural network (CNN) algorithms have signifi

158 Herein, the study applied a new convolution neural network (CNN) analysis of PM WSIs to

159 Furthermore, contourlet transform and convolution neural network (CNN) have been employed to e

160 microscopy (PAM) and US system paired with a convolution neural network (CNN) to assess the rectal ca

161 eveloped to facilitate this, consisting of a Convolution Neural Network (CNN) to map corrosion morpho

162 pattern recognition method via deep-learning convolution neural network (DL-CNN), to a more determini

163 orrection component, which is a large-kernel convolution neural network that focuses on calibrating t

164 We develop a deep convolution neural network to directly classify any prot

165 otoacoustic wave propagation and then uses a convolution neural network to reconstruct an image.

166 firstly introduces a multi-instance learning convolution neural network trained with isoform sequence

167 In this paper, a convolution neural network-based deep learning approach

168 re, and classification was performed using a convolution neural network-based feature extractor and e

169 Poly(A)-DG consists of a Convolution Neural Network-Multilayer Perceptron (CNN-ML

170 east cancer digital pathology images using a convolution neural network.

171 We present DeepCpf1, a deep convolution neural networks (CNN) approach to predict Cp

172 Deep convolution neural networks (CNN) were explicitly traine

173 Although deep learning include Convolution Neural Networks (CNNs) have been promising,

174 speech characteristics, research interest in convolution neural networks (CNNs) or advanced image rec

175 Although convolution neural networks have become prominent in the

176 d aggregation techniques that generalize the convolution neural networks to mine large-scale graph da

177 asured images to model functions prepared by convolution of a test impulse function with the object f

178 Hankel transforms and results in a recursive convolution of an exponentially scaled Gaussian with mod

179 an "effective" spatial resolution that is a convolution of beam optics and sampling frequency.

180 We provide evidence that K(i)(HPA) is a convolution of binding to the low-activity TK(low)-TK(lo

181 easured local concentration is the result of convolution of cellular efflux with the impulse response

182 Using model convolution of computer simulations, we deduce the mecha

183 ear trend is detected, likely because of the convolution of different effects.

184 eterogeneity, such as whole blood which is a convolution of DNAm profiles across a unique cell type.

185 ods showed that CL polymerization involves a convolution of four processes.

186 pulations of single cells will enable the de-convolution of genetic heterogeneity in diverse cell pop

187 ll layer epithelium adjacent to the GBM, but convolution of glomerular capillaries did not occur.

188 al structural organization, specifically the convolution of internal density and extent of networking

189 of cells for a gene at time t is actually a convolution of its values in an interval around t.

190 a's raw data reveals that he was observing a convolution of linear and circular optical properties.

191 ns a challenge as macroscopic rates can be a convolution of many reactions.

192 hic resolution for lipid separations and the convolution of mass spectra from isomeric and isobaric s

193 sing TimEX, a method that relies on gaussian convolution of massive, highly redundant determinations

194 ages to three-dimensional architectures from convolution of mathematical models reveals a pool of Cse

195 ntly be programmed; essentially exhibiting a convolution of memristive, memcapacitive and meminductiv

196 x interference spectra are produced from the convolution of multiple wavelengths and modes.

197 f event-driven light changes and the spatial convolution of optical power densities at the device lev

198 ransfer (DAmFRET) was developed to study the convolution of phase separation and disorder-to-order tr

199 The fit by convolution of photoacoustic waves on the nanosecond and

200 talytic CO2 conversion to fuels is a complex convolution of surface structure and transport effects.

201 ude generation of an extremely long tube and convolution of the absorptive surface of the tube into v

202 current could be accurately reconstructed by convolution of the all-events latency distribution and t

203 images of Ca(2+) sparks were simulated by 3D convolution of the calculated distribution of CaD with a

204 Digital focusing, based on the convolution of the complex OCT images and the conjugate

205 tical power remains proportional to the time convolution of the current density, even with the latter

206 ology, the study concludes that the detailed convolution of the depolarisation waveform is individual

207 Parsimony suggests that increased growth and convolution of the DG arose in stem mammals concurrently

208 ilure to unravel mechanisms that account for convolution of the failure modes are highlighted.

209 of polymer interfaces was estimated through convolution of the Lorentzian IRF with a step function r

210 PMDs are the discrete convolution of the mass distributions of the constituent

211 uorescence signal from the subphase, whereas convolution of the measured point spread function with a

212 the hemodynamic response is a spatiotemporal convolution of the neuronal activation.

213 complex surface topographies that reflect a convolution of the phase structure present in each of th

214 motions on a millisecond time scale without convolution of the probe-dye random motions.

215 Cas9 model exhibited microcephaly, decreased convolution of the renal tubules, and abnormal craniofac

216 hieved by expanding the model to include the convolution of the second-order Wiener kernel with the i

217 oscopic process, the RIXS technique probes a convolution of the single-particle densities of states i

218 Here we report the successful de-convolution of these effects with the recently developed

219 Convolution of this role with the supply of S in TMS(2)S

220 ations, we reveal the short-range-order is a convolution of three basic types: tetrahedron, octahedro

221 roscopy using conventional metal probes, the convolution of topographic and electronic features hinde

222 The first involves the convolution of two closed-form expressions; the second r

223 for quantum convolutions." We show that the convolution of two stabilizer states is a stabilizer sta

224 , Purkinje cell heterotopias, and simplified convolutions of the dentate nucleus and inferior olive.

225 crease in diffusive transport resulting from convolutions of the flow paths through porous media and

226 The convolutions of the mammalian cerebral cortex allow the

227 The convolutions of the OPL were broader and deeper in some

228 at iron is not reabsorbed across the surface convolutions of the proximal tubule.

229 NODeJ performs a Laplacian convolution on the mask of a nucleus to enhance the cont

230 One module employs graph convolutions on molecular graphs to capture molecule str

231 as spatial differentiation, integration, or convolution) on the profile of an impinging wave as it p

232 ups that increase with the complexity of the convolution operation and the length of the sequence bei

233 main information fusion with bipartite graph convolution operation.

234 Yuzu, can reduce the time that ISM spends in convolution operations by several orders of magnitude an

235 hat perform positively and negatively valued convolution operations in a single shot.

236 Here, we experimentally realize convolution operations in the synthetic frequency dimens

237 that can off-load computationally expensive convolution operations into high-speed and low-power opt

238 ack end to offload computationally expensive convolution operations into high-speed, low-power optics

239 ial photonic memories that delivers parallel convolution operations to classify the gaits of ten pati

240 we propose a novel three-dimensional spatial convolution operator called frame points attention convo

241 TIN-ag expression was confined to the distal convolution or pole of the S-shaped body, the segment of

242 fixed optical mask to perform a Shah or sine convolution over a fluorescence signal.

243 Convolutions over these tensors learn to detect motifs u

244 As a significant type of cerebral cortical convolution pattern, the gyrus is widely preserved acros

245 We hypothesize that gyral convolution patterns might stem from heterogeneous regio

246 e components as a result of their particular convolution patterns.

247 individual pulse during the simulation, the convolution procedure simulates an accurate elemental im

248 al process based on a two-step discrete-time convolution procedure using empirical/experimental input

249 litudes and phases are mutually coupled in a convolution process.

250 enerally failed to resolve these, with their convolution producing wide peaks.

251 iables or equations involving multiplicative convolution products.

252 erm counts, but abnormal distal vas deferens convolution resulting in complete and incomplete blockag

253 De-convolution reveal higher ratio of T regulatory cells (T

254 s clustering, and differentiation by wavelet convolution showed distinct response patterns within the

255 otobleaching, electron tomography, and model convolution simulation of spc98/+ mutants revealed impro

256 onstrate an optical encoder that can perform convolution simultaneously in three color channels durin

257 and Approach II involving deconvolution and convolution steps.

258 Contrary to original expectations, such convolution sums, suitably extended to [Formula: see tex

259 were studied also by cyclic voltammetry and convolution technique to demonstrate that the processes

260 tential to the two polarizable interfaces by convolution technique.

261 s show that the mutant strain contains fewer convolutions than the wild-type bacterium, which exhibit

262 The convolutions that form the inferior and caudal extent of

263 EquiPPIS employs symmetry-aware graph convolutions that transform equivariantly with translati

264 Using a point-kernel convolution, the mean absorbed dose to each organ from t

265 n these experiments, using Fourier transform convolution to calculate labeled isotope distributions a

266 relies on fast Fourier transformation-based convolution to compute p-values analytically without per

267 ism, which utilizes a three-dimensional (3D) convolution to effectively merge features across scales,

268 s of the Dirichlet distribution and temporal convolution to efficiently learn high-order information

269 However, most of them apply graph convolution to process cell line-drug bipartite graphs w

270 sidues in spatial proximity, we employ graph convolutions to aggregate properties across local region

271 network architecture based on using dilated convolutions to capture features at different image scal

272 sed on deformable convolutions, allowing the convolutions to dynamically adjust to target shapes.

273 Rconv uses a deep protein language model and convolutions to extract contextualized motifs and provid

274 rast to previous methods, we used transposed convolutions to learn the up-sampling parameters, we use

275 By applying graph convolutions to this explicit molecular representation,

276 uced deep learning approach based on Fourier convolutions, trained on numerical climate model output,

277 Learning, Segmentation, Network Compression, Convolution, Tucker Decomposition Supplemental material

278 cesses RNA sequences with self-attention and convolutions, two deep learning techniques that have pro

279 Evolution equations with convolution-type integral operators have a history of st

280 In addition to parallel convolutions using different kernels with shared inputs,

281 Next, a variable kernel convolution (VKConv) is proposed to dynamically adjust t

282 The robustness of convolution voltammetry for determining accurate values

283 The results highlight the advantages of convolution voltammetry over steady-state techniques suc

284 nd was found to provide a new way to measure convolution voltammetry without the need of numerical in

285 to the benefits provided by the conventional convolution voltammetry, the EC-SPR has several unique a

286 Furthermore, dilated convolution was used to capture multiscale long-range in

287 a "second law of thermodynamics for quantum convolutions." We show that the convolution of two stabi

288 The convolution weights for different local areas in the fil

289 asymmetries of the pars triangularis, these convolutions were measured on volumetric magnetic resona

290 largement of the cerebrum and development of convolutions, which occur concomitantly with the formati

291 tains biological information after the graph convolutions while diffusing this information through no

292 gnment, length, and width but their combined convolution with a customizable basis set.

293 onor/acceptor pair and the DNA bridge, or by convolution with other processes.

294 a cell or organelle that has been blurred by convolution with the microscope point spread function.

295 Convolution with the rod release function also produced

296 n for a given AFM tip size and minimises tip convolution with the sample.

297 T images were converted to dose maps through convolution with voxel S values generated using MCNPX, a

298 ansformer networks have emerged that replace convolutions with a complex attention mechanism, and the

299 racterized by the absence of normal cerebral convolutions with abnormalities of cortical thickness.

300 exact size and shape but can rather be their convolutions with the primary ion beam shape.