Wordcloud of propaganda text. by Akib Mohi Ud Din Khanday (19065631)

“…Nonetheless, the purview of propaganda detection transcends textual data alone. Deep learning algorithms like Artificial Neural Networks (ANN) offer the capability to manage multimodal data, incorporating text, images, audio, and video, thereby considering not only the content itself but also its presentation and contextual nuances during dissemination.…”

Parameter settings. by Yang Cao (53545)

“…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …”

Presentation_1_Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy.PPTX by Umesh C. Sharma (10785063)

“…Currently, there are no optimized deep-learning algorithms for the automated classification of scarred vs. normal myocardium. …”

Data_Sheet_1_Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer.pdf by Maliheh Aramon (6557906)

“…The Digital Annealer's algorithm is currently based on simulated annealing; however, it differs from it in its utilization of an efficient parallel-trial scheme and a dynamic escape mechanism. …”

Quadratic polynomial in 2D image plane. by Indhumathi S. (19173013)

“…The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …”

Fig 12 - by Nisha Yadav (366131)

NuSeT efficiently addresses common segmentation challenges. by Linfeng Yang (516708)

“…The watershed line is then estimated based on the binary mask and centroids. <b>(B)</b> Sample results showing that RPN successfully detects most of the cells, and watershed lines further separate touching cells. …”

Supplementary Material for: Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation by Higaki A. (11035161)

Experimental setup and trajectory estimation methodology. by Nouman Javed (16624785)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) by Daniel Pérez Palau (11097348)

“…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …”

Pre-processing of raw images for pose estimation using physical model-trained convolutional neural network model. by Aniket Ravan (3174171)

Chákṣu IMAGE: A glaucoma-specific fundus image database by Harish Kumar J R (12958519)

“…The folder 5.0_OD_OC_Mean_Median_Majority_STAPLE in the Train/Test set contains the overlay, mean, median, majority, and STAPLE algorithm based gold standard binary images obtained from the binary images of doctors annotations. …”

Data_Sheet_1_Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases.P... by Jianfeng Wu (360829)

“…Our prior studies show that magnetic resonance imaging (MRI)-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. …”

Relative azimuth calculations reveal nanoscale cadherin geometry in the desmosome. by William F. Dean (19370322)

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

“…Here, we propose a solution to address the limitation of identifiable motor activities by using combined MIs (i.e., MIs involving 2 or more body parts at the same time). And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”

HPDmobile H5 Image Zone Labels by Soumik Sarkar (2039536)

“…Contains files for each hub and day with binary zone based occupancy, indicating if a human is present in the image (1) or not (0). …”

HPDmobile H2 Image Zone Labels by Soumik Sarkar (2039536)

“…Contains files for each hub and day with binary zone based occupancy, indicating if a human is present in the image (1) or not (0). …”

HPDmobile H6 Image Zone Labels by Soumik Sarkar (2039536)

“…Contains files for each hub and day with binary zone based occupancy, indicating if a human is present in the image (1) or not (0). …”

HPDmobile H4 Image Zone Labels by Soumik Sarkar (2039536)

“…Contains files for each hub and day with binary zone based occupancy, indicating if a human is present in the image (1) or not (0). …”