Maintaining multiple hypotheses in the solution set. by Tarun Khajuria (12117309)

Image_2_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Image_1_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Image_6_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Image_4_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Image_5_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Image_3_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.jpg by Ruohua Shi (12395362)

Data_Sheet_1_U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms.pdf by Ruohua Shi (12395362)

Presentation_1_Multiple Levels of Heuristic Reasoning Processes in Scientific Model Construction.pdf by John J. Clement (12521863)

Pipeline process of Swin-cryoEM model. by Kun Fang (619812)

“…This paper combines the characteristics of the MixUp hybrid enhancement algorithm, enhances the image feature information in the pre-processing stage, builds a feature perception network based on the channel self-attention mechanism in the forward network of the Swin Transformer model network, achieving adaptive adjustment of self-attention mechanism between different single particles, increasing the network’s tolerance to noise, Incorporating PReLU activation function to enhance information exchange between pixel blocks of different single particles, and combining the Cross-Entropy function with the softmax function to construct a classification network based on Swin Transformer suitable for cryo-electron micrograph single particle detection model (Swin-cryoEM), achieving mixed detection of multiple types of single particles. …”

Table_2_A Mathematical Approach to Correlating Objective Spectro-Temporal Features of Non-linguistic Sounds With Their Subjective Perceptions in Humans.DOCX by Thomas Burns (7109003)

Table_1_A Mathematical Approach to Correlating Objective Spectro-Temporal Features of Non-linguistic Sounds With Their Subjective Perceptions in Humans.DOCX by Thomas Burns (7109003)

Data_Sheet_1_Cross-modal association analysis and matching model construction of perceptual attributes of multiple colors and combined tones.docx by Shuang Wang (46453)

The CeTI-Age-Kinematics dataset: A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults by Loreen Pogrzeba (19645765)

Data_Sheet_1_Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning.PDF by Ujjwal Baid (8462214)

Data_Sheet_1_Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks.PDF by Jangho Lee (4742889)

Data_Sheet_1_Neurons as Canonical Correlation Analyzers.pdf by Cengiz Pehlevan (526705)

Table_1_Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties.docx by Alice Geminiani (6036272)

Data_Sheet_1_Learning cortical hierarchies with temporal Hebbian updates.pdf by Pau Vilimelis Aceituno (15861977)

Table_1_Brief Sensory Training Narrows the Temporal Binding Window and Enhances Long-Term Multimodal Speech Perception.DOCX by Michael Zerr (7482335)

“…There are many complex algorithms our nervous system uses to construct a coherent perception. …”