Imaging platform. حسب Jiajun Liu (692586)

"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"

KAN-GLNet network model. حسب Jiajun Liu (692586)

"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"

Reconstructed canola point cloud samples. حسب Jiajun Liu (692586)

"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"

Training loss and accuracy curves of KAN-GLNet. حسب Jiajun Liu (692586)

"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"

Hardware and software specifications. حسب Jiajun Liu (692586)

"…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …"

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples حسب Derek Lam (11944213)

"…This approach offers a valuable complement to current monitoring strategies and supports broader efforts in environmental health protection. …"

Table 1_Associations of lung function impairment and biological aging with mortality and cardiovascular disease incidence: findings from UK biobank participants.docx حسب Jiali Chen (5696)

"…PhenoAgeAccel was calculated using algorithms based on clinical biomarkers, and frailty was evaluated according to five established criteria. …"

Pipeline for extraction of parameters for ML and DL. حسب John Kruper (18809386)

"…<p>(A) Diffusion MRI (dMRI) data from the HBN-POD2 sample is used as input to the algorithm. (B) In the initial step, whole-brain tractography is conducted (C) Major white matter pathways are identified based on the trajectory of the streamlines. …"

Code repository حسب Dimitrios Iason Papadopoulos (21556811)

"…A portion of the resulting data is used to train various ML models aimed at both classifying the type of damage and estimating its severity. …"

CIOP database حسب Zeyi Wang (19846350)

"…</p><p dir="ltr">The database is produced from a throughput experiment and a regression algorithm.</p><p dir="ltr">10 common SEI containing elements are included and will be updated based on more experimental data later. …"

Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach حسب Mar Roca (20435036)

"…We developed a satellite-based workflow to complement <i>in situ</i> seagrass monitoring efforts in the Balearic Islands (Western Mediterranean), reducing field expenses while covering regional spatial scales. …"

Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx حسب Shu Yang (381226)

"…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …"

Vaccines, Public Health, and the Politics of Immunity: Safety, Debate, and Global Perspectives حسب Minehli Arakelians Gheshlagh (21983870)

"…</li></ul><p dir="ltr">These visuals complement textual analysis, providing intuitive understanding of complex epidemiological, sociopolitical, and ethical dynamics.…"

The dendrite suppression CIOP database حسب Zeyi Wang (19846350)

"…</p><p dir="ltr">10 common SEI containing elements are included and will be updated based on more experimental data later. …"

Canopy Height Monitoring Data and Model of Hainan Tropical Rainforest National Park حسب Zixuan Qiu (14013837)

"…</p><p dir="ltr">The data in the folder (Code) includes the training code and prediction code for four machine learning algorithms (BP, CNN, GBDT, RF).…"

Data Sheet 1_Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler.pdf حسب Kleber Padovani (10198918)

"…We expand upon the previous approach found in the literature to solve this problem by carefully exploring the learning aspects of the proposed intelligent agent, which uses the Q-learning algorithm. We improved the reward system and optimized the exploration of the state space based on pruning and in collaboration with evolutionary computing (>300% improvement). …"

Wasserstein-Kaplan-Meier Survival Regression حسب Yidong Zhou (580573)

"…We propose an innovative regression model for right-censored survival data across heterogeneous populations, leveraging the Wasserstein space of probability measures. …"