Software Impacts's repositories
SIMPAC-2023-223
DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.
SIMPAC-2024-156
SpectroChat: A windows executable graphical user interface for chemometrics analysis of spectroscopic data
SIMPAC-2024-172
Enhancing High-Resolution Large-Scale Forest Simulations
SIMPAC-2024-119
The results of the experiments in this paper indicate that the proposed framework appears efficient in a practical situation based on the outcomes.
SIMPAC-2024-124
An open-source Python software based on Machine-Learning model that predicts the premature Concrete Cover Delamination (CCD) failure mode of reinforced concrete (RC) beams strengthened with Fiber Reinforced Polymers (FRP)
SIMPAC-2024-128
A javascript plugin that injects feature-based Google Analytics code in Software Product Lines developed using Pure::Variants
SIMPAC-2024-130
API and Plotting Software for Abaqus FEA .odb file format
SIMPAC-2024-134
IGSS algorithms in R
SIMPAC-2024-136
AA2UA: A Python Tool for Converting All-Atom PDB Models into their United Atom Coarse Grained Counterparts for Use in LAMMPS
SIMPAC-2024-139
A rapid prototyping library for connected, autonomous vehicles developed at RISE Dependable Transport Systems
SIMPAC-2024-140
Here we introduce FortranAnalyser, a Fortran code multi-language static analysis tool cross-platform. It helps to measure the quality of the software for maintenance and refactoring for all versions of Fortran.
SIMPAC-2024-150
This game is created for VR reality headset, connected with computer.
SIMPAC-2024-158
A utility to patch pytorch tensors into smaller, overlapping bits and stitch them together again.
SIMPAC-2024-175
Caldintav is a program for the dynamic calculation of railway bridges developed in Python language by the Computational Mechanics Group of the Technical University of Madrid, Spain.
SIMPAC-2024-186
react admin client for postgREST
SIMPAC-2024-193
An optimized deep learning model is proposed for leaf disease classification. The model performs pre-processing. Then, the disease infected region is segmented using UNet technique. Next, feature extraction is accomplished . The extracted features, plant leaf disease classification is performed using artificial driving-EfficientNet (AD-ENet).
SIMPAC-2024-195
A computer code for forward calculation and inversion of the H/V spectral ratio under the diffuse field assumption
SIMPAC-2024-211
Hough transform on Virtual Grid