Effective connectivity analysis. حسب Akke Mats Houben (21572855)

3D Deformable cell based model. حسب Roland M. Dries (6620132)

Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory حسب Drippy Stone (21218843)

الموضوعات:

High-Dimensional Variable Clustering based on Maxima of a Weakly Dependent Random Process حسب Alexis Boulin (20659921)

"…Our work provides some theoretical insights into the consistency of our algorithm, demonstrating that under certain conditions it can effectively identify clusters in the data with a computational complexity that is polynomial in the dimension. …"

SURGE - Spatial User Recommendations using Geographical metrics and sEmantics حسب Ramon Hermoso (20135370)

"…The query and every element in the set of data consists of physical coordinates and a set of keywords. …"

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 حسب Matthew Yedutenko (5142461)

"…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"

Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf حسب Matthew Yedutenko (5142461)

"…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …"

supporting data for PHD thesis entitled " Arousal Regulation and Neurofeedback Treatment for ADHD Children" حسب Yuliang Wang (9151616)

"…Analyses use standardized mean differences (Hedges g) under random-effects models, stratified by comparator type (medicine, active, sham, passive) and, where applicable, contrasted across protocol families (customised algorithm, SCP, SMR, TBR).</p><p dir="ltr">The supporting dataset contains the <b>raw arm-level descriptive statistics</b> required to compute effect sizes: per study, outcome, and timepoint it lists group means, standard deviations, and sample sizes for neurofeedback and control arms, along with rater, comparator category, protocol type, and outcome direction coding (so higher values consistently reflect the intended construct). …"

Image 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.tif حسب Can Qi (540350)

"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"

Table 3_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx حسب Can Qi (540350)

"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"

Table 1_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx حسب Can Qi (540350)

"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"

Table 2_Exploring the role of neutrophil extracellular traps in neuroblastoma: identification of molecular subtypes and prognostic implications.xlsx حسب Can Qi (540350)

"…Univariate Cox analysis and the LASSO algorithm were used to identify biomarkers for prognosis. …"

Table 2_Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning.xlsx حسب Jiachen Fan (21399268)

"…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …"

Image 2_Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning.tif حسب Jiachen Fan (21399268)

"…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …"

Table 1_A multicentric real-world observational study to describe the use and efficacy of follitropin delta for IVF/ICSI procedures in patients at risk of hypo-response.docx حسب Anne-Claire Deloire (22222351)

"…The prescribed daily dose was usually based on the approved algorithm (N = 26; 74.3%) with a mean daily dose of 14.2 ± 4.1 mcg, resulting in a mean total dose of 187.7 ± 135.6 mcg. …"

Image 1_Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning.tif حسب Jiachen Fan (21399268)

"…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …"

Image 3_Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning.tif حسب Jiachen Fan (21399268)

"…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …"

Table 1_Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning.docx حسب Jiachen Fan (21399268)

"…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …"

Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation" حسب Yingqi Li (9151304)

"…Considering 2D images are more accessible and common compared to 3D topology data, this thesis also investigates soft tissue modelling via medical images. …"

Echo Peak حسب Rocco De Marco (14146593)

"…</p><p dir="ltr">For classification, the algorithm iteratively processes the audio in overlapping time windows. …"