Visualization of learned features via t-SNE. حسب Song Wu (36667)

Comparison of experimental results for cervical tumour segmentation algorithms. حسب Yao Yao (335996)

Land lots and probabilities of being regular-shaped lots. حسب Subin Ham (19704398)

الموضوعات:

Feature dimensions used in dataset design. حسب Christian Jarvers (6328562)

Spatial distribution of 40 AmeriFlux FLUXNET sites used in this study. حسب Yeonuk Kim (4589488)

Study area at a lot-level resolution (Figure created by the authors). حسب Subin Ham (19704398)

الموضوعات:

Result of the classification. حسب Subin Ham (19704398)

الموضوعات:

Architecture of the neural network. حسب Subin Ham (19704398)

الموضوعات:

Study and test areas (Figure created by the authors). حسب Subin Ham (19704398)

الموضوعات:

Dataset configuration. حسب Subin Ham (19704398)

الموضوعات:

Algorithm schematic diagram of the CSM module. حسب Huiying Zhang (200681)

"…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. The proposed MPA module integrates multi-scale contextual information, capturing complex dependencies between spatial and channel dimensions, thereby enhancing the representation capability of the neural network. …"

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf حسب Elena Pastorelli (7024235)

"…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …"

Validation versus SGA-based studies. حسب Francesco Di Nardo (734450)

"…Synchronized electrogoniometric and foot-floor-contact signals are also supplied to enable the spatial/temporal analysis of the sEMG signals. The experimental procedure involves subjects walking barefoot on level ground for approximately 5 minutes at their natural speed and pace, following an eight-shaped path featuring linear diagonal segments, curves, accelerations, and decelerations. …"

SNR values for all sEMG signals. حسب Francesco Di Nardo (734450)

"…Synchronized electrogoniometric and foot-floor-contact signals are also supplied to enable the spatial/temporal analysis of the sEMG signals. The experimental procedure involves subjects walking barefoot on level ground for approximately 5 minutes at their natural speed and pace, following an eight-shaped path featuring linear diagonal segments, curves, accelerations, and decelerations. …"

Table 1_Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province.docx حسب Yao Zhang (134381)

"…Additionally, precipitation displayed a U-shaped relationship with BD risk in both the Subtropical Semi-Humid and Plateau Cold Climate Zones.…"

Image 1_Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province.jpeg حسب Yao Zhang (134381)

"…Additionally, precipitation displayed a U-shaped relationship with BD risk in both the Subtropical Semi-Humid and Plateau Cold Climate Zones.…"

Experimental results of the ablation experiment. حسب Huiying Zhang (200681)

"…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. The proposed MPA module integrates multi-scale contextual information, capturing complex dependencies between spatial and channel dimensions, thereby enhancing the representation capability of the neural network. …"

Statistics of Large, Medium, and Small Targets. حسب Huiying Zhang (200681)

"…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. The proposed MPA module integrates multi-scale contextual information, capturing complex dependencies between spatial and channel dimensions, thereby enhancing the representation capability of the neural network. …"

Model comparison test results. حسب Huiying Zhang (200681)

"…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. The proposed MPA module integrates multi-scale contextual information, capturing complex dependencies between spatial and channel dimensions, thereby enhancing the representation capability of the neural network. …"

Comparative experimental data of loss functions. حسب Huiying Zhang (200681)

"…The backbone network uses the lightweight Repvit model, improving detection performance and reducing model weight through transfer learning. The proposed MPA module integrates multi-scale contextual information, capturing complex dependencies between spatial and channel dimensions, thereby enhancing the representation capability of the neural network. …"