Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

Algorithm testing. by Ziad M. Ali (12516532)

“…While the single-diode model (PV_SDM) is commonly used, the double-diode model (PV_DDM) offers improved accuracy at a reasonable level of complexity. However, finding analytical closed-form solutions for the current-voltage (<i>I</i>-<i>U</i>) dependency in PV_DDM circuits has remained a challenge. …”

Hypothetical example illustrating how the <i>search</i>.<i>conv</i> function algorithm works. by Silvia Castiglione (5010581)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …”

Alpha Max Plus Beta Min Algorithm and Arctangent Calculation using Simulink by Ara A. Assim (12512428)

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

Subjects:

The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. by Quynh-Anh Nguyen (847240)

“…Parameters <i>N</i>_<i>in</i> and <i>C</i>_<i>th</i> are chosen to yield SEM similar to those observed in the spike count data [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.3A in Ref)] and to yield the least-squares error of the experimental buildups (dashed, extracted from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.4 in Ref)] and the computer-simulated neurometric functions (solid) for <i>DF</i> = 1, 3, 6, 9. …”

Maximum orientation bandwidth as a function of spatial frequency bandwidth (<i>ω</i>). by Daniel H. Baker (11559693)

Algorithm framework. by Zongjin Li (38031)

One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

Types of training algorithms. by Caixia Yan (6647072)

Depiction of how the label of is assigned as a function of whether are identical (row =), nested (rows ), or partially overlapping (row “else”), and as a function of the labels of... by Jordan Moutet (21800145)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

23 benchmark functions. by Yu Liu (6938)

“…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

“…This strategy is integrated into a random forest algorithm by replacing the conventional voting method. …”

Tour construction for a weighted graph with a probability function p ∈ [0,1]. by Matheus Sant’Ana Lima (9937809)

Comparison of different algorithms. by Jiandong Qiu (20389944)

a) FO Function, b) FI function. by Huang Jiexian (17060975)

“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”