PEG neurons encoded more complex features than A1 neurons. حسب Shoutik Mukherjee (18626028)

"…The magnitudes of STRFs were computed (second column) and approximated by a probability distribution function for a Gaussian mixture model (GMM) fit with a boosting algorithm with large- and small-covariance Gaussian weak learners (third and fourth columns, respectively) and by <i>k</i> components of its singular value decomposition (fifth column). …"

Models and Dataset حسب M RN (9866504)

"…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …"

Perturbations and their effects within networks. حسب Matthew Aguirre (9558032)

"…<b>(D)</b> KO effects as a function of network distance between two genes, and <b>(E)</b> within and across modules given by the generating algorithm. …"

Simulated and Field-Based Error Characterisation of Animal Geolocalisation and Relative Positioning via Commercial Drones حسب Kilian Meier (22303138)

"…<p dir="ltr"><b><i>Related paper currently in press!</i></b></p><p dir="ltr">Drones can be used for wildlife monitoring, specifically, to monitor the absolute location and relative position of individuals, which can be achieved with commercial drones using a monoplotting algorithm. …"

Table1_Enhanced classification and severity prediction of major depressive disorder using acoustic features and machine learning.pdf حسب Lijuan Liang (4277053)

"…We used the Covarep open-source algorithm to extract a total of 1200 high-level statistical functions for each sample. …"

Artificial Neural Network Model for Predicting the Viscosity of Crosslinked Polyacrylamide and Polyethylenimine Polymer Gel for Oilfield Water Control حسب S M Safayet Aziz (20832236)

"…The model was trained using the Levenberg-Marquardt algorithm. The hidden layer uses the tangent sigmoid (Tansig) activation function, and the output layer employs a linear (Purelin) activation function. …"

Voltage imaging burst probability follows the longest quiet intervals. حسب Cesar C. Ceballos (6681002)

"…<b>C</b> Sample trace showing spike detection algorithm prior to division into BS and SS. …"

SVG Figures from the Publication: Current-Adaptive Control for Efficiency Enhancement in Interleaved Converters for Battery Energy Storage Systems حسب Andrej Brandis (10111597)

"…</li><li><b>Figure 11.</b> Flowchart of the current-adaptive algorithm.…"

Pipeline for mean shape based post-processing method. حسب Zhicheng Lin (218641)

"…To reduce substantial spatial disparities between the original prediction and the mean shape, a rigid registration based on an iterative closest point algorithm (ICP) was performed in MATLAB (fixed shape: original prediction; moving shape: mean shape; function: pcregistericp (moving, fixed)) (b-1). …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…</li><li><b>Adaboost: </b>A boosting algorithm that combines weak classifiers iteratively, refining predictions and improving the identification of antimicrobial resistance patterns.…"

Survey Data on NSSI, Stress Response, Emotional Regulation Strategies and gender in Chinese Undergraduates حسب Yilin Ma (21154754)

"…NSSI Behaviors and Functions</b></h3><p dir="ltr">NSSI was measured using the Chinese version of the Functional Assessment of Self-Mutilation (FASM) (Wan Yuhui et al., 2018).…"

Data for "Saturation hysteresis during cyclic injections of immiscible fluids in porous media: an invasion percolation study" حسب Zhongzheng Wang (9762575)

"…More cycles can be simulated by alternately calling these two functions.</i></p><p dir="ltr"><b>ITA_multiphase-main.rar</b>: This interface tracking algorithm (ITA) simulates immiscible fluid-fluid displacement processes in two-dimensional porous media in the quasi-static (capillary-dominated) regime under different wetting conditions (controlled by the contact angle).…"

LDD microtubule-based nucleation naturally results in a local microtubule density-dependent fraction of microtubule-based nucleation. حسب Marco Saltini (22209094)

"…<p>Fraction of microtubule-based nucleation as a function of (A) local and (B) global microtubule density (<i>ρ</i>) during a single simulation run. …"

Supporting Information حسب Anastasiia Mikhailova (22178497)

"…Expansion of the metal nanoparticles in Å as a function of the Cu concentration and number of a) oxygen atoms and b) CO molecules. …"

GameOfLife Prediction Dataset حسب David Towers (12857447)

"…Excluding 0, the lower numbers also get increasingly unlikely, though more likely than higher numbers, we wanted to prevent gaps and therefore limited to 25 contiguous classes</p><p dir="ltr">NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. …"

Supplementary Material for: Integral Theory Paradigm- common pelvic ligament pathogenesis guides management for Urology, Gynecology, Coloproctology حسب figshare admin karger (2628495)

Enhancing greenhouse agriculture with IM-AlexNet: A novel method for accurate pest and disease identification حسب RUIPENG TANG (20458127)

"…By introducing the ReLU6 activation function, batch normalization algorithm and GoogleNet Inception-v3 module, the model significantly improves the recognition performance and effectively solves problems such as noise interference, poor model convergence and target positioning overfitting. …"

Motifs identified within the IDRs of the C-terminal regions of MADS-domain proteins. حسب Erandi Ramírez-Aguirre (22110116)

"…<p>Motifs were detected using the MEME algorithm [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0330098#pone.0330098.ref121" target="_blank">121</a>] based on the C-terminal sequences of Type I and <b>(</b>left panel<b>)</b> Type II MADS-domain proteins (right panel). …"

Optimal Network Membership Estimation under Severe Degree Heterogeneity حسب Zheng Tracy Ke (8293395)

"…We discover that <i>b</i> = 1/2 is universally favorable. The resulting spectral algorithm is rate-optimal for networks with arbitrary degree heterogeneity. …"

Study design and deep-learning model architecture. حسب Sehoon Park (1466026)

"…Conv, Convolutional layer; SepConv, Separable convolutional layer; MBConv, Mobile inverted bottleneck convolutional layer (numbers after MBConv indicate layer depth); k3/k5, kernel size 3 or 5; GAP, Global average pooling; FC, Fully connected layer; Swish, Swish activation function; DBP, Diastolic blood pressure, SBP, Systolic blood pressure; HR, Heart rate; DL-IVSS, A deep-learning algorithm leveraging time-series intraoperative vital sign signals; preOp ML, A machine learning model with 103 baseline characteristics.…"