Presentation3_Identification of Vesicle Transport Proteins via Hypergraph Regularized K-Local Hyperplane Distance Nearest Neighbour Model.PPTX by Rui Fan (317750)

“…In recent years, advances in machine learning have inspired a growing number of algorithms for predicting protein function. A large number of parameters and fairly complex neural networks are often used to improve the prediction performance, an approach that is time-consuming and costly. …”

Presentation1_Identification of Vesicle Transport Proteins via Hypergraph Regularized K-Local Hyperplane Distance Nearest Neighbour Model.PPTX by Rui Fan (317750)

“…In recent years, advances in machine learning have inspired a growing number of algorithms for predicting protein function. A large number of parameters and fairly complex neural networks are often used to improve the prediction performance, an approach that is time-consuming and costly. …”

Accessibility of translation initiation sites is the strongest predictor of heterologous protein expression in <i>E. coli</i>. by Bikash K. Bhandari (11524776)

Nonadiabatic Dynamics with Coupled Trajectories by Carlotta Pieroni (11419298)

“…The working framework is provided by the exact factorization of the electron–nuclear wave function, and it exploits ideas emanating from various surface-hopping schemes. …”

Nonadiabatic Dynamics with Coupled Trajectories by Carlotta Pieroni (11419298)

“…The working framework is provided by the exact factorization of the electron–nuclear wave function, and it exploits ideas emanating from various surface-hopping schemes. …”

Nonadiabatic Dynamics with Coupled Trajectories by Carlotta Pieroni (11419298)

“…The working framework is provided by the exact factorization of the electron–nuclear wave function, and it exploits ideas emanating from various surface-hopping schemes. …”

Nonadiabatic Dynamics with Coupled Trajectories by Carlotta Pieroni (11419298)

“…The working framework is provided by the exact factorization of the electron–nuclear wave function, and it exploits ideas emanating from various surface-hopping schemes. …”

Nonadiabatic Dynamics with Coupled Trajectories by Carlotta Pieroni (11419298)

“…The working framework is provided by the exact factorization of the electron–nuclear wave function, and it exploits ideas emanating from various surface-hopping schemes. …”

Example images of SCAUPD. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

Depthwise separable convolution. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

YOLOv5-lite network structure. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

UNet network structure. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

Flow structure of the proposed method. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

Statistics of the dataset used in the experiment. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

YOLOv5-lite palm initial localization output. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

Proposed network structure. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

Example of data annotation. by Chengrui Lin (18700392)

“…However, deep learning-based methods typically did not consider the computational cost of the model and were difficult to apply to embedded devices. …”

<i>Ab Initio</i> Valence Bond Molecular Dynamics: A Study of S_N2 Reaction Mechanisms by Miao Guo (1502092)

“…Taking the gas-phase S_N2 reaction as an example, a compact VB wave function gives reasonable accuracy with only 27 VB structures, compared to the full active space of 5292 VB structures. …”

Comparison results by number of simulations for . by Ly Cuong Hoa (22075838)

“…<div><p>User Plane Function (UPF) is considered a bridge between User Equipment (UE) and Data Networks (DN) in the 5G core network. …”

Simulation/analysis parameters and values. by Ly Cuong Hoa (22075838)

“…<div><p>User Plane Function (UPF) is considered a bridge between User Equipment (UE) and Data Networks (DN) in the 5G core network. …”