Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm. by Yufeng Zhang (195768)

Consistent Community Detection in Inter-Layer Dependent Multi-Layer Networks by Jingnan Zhang (1793296)

“…Most existing methods are extended from those for single-layer networks, which assume that different layers are independent. …”

Flexible Photoacoustic Device Integrating Electroluminescence, Piezoelectric Vibration, and Pressure Sensing by Qiaolin Chen (16327416)

“…This study addresses these challenges by developing a multifunctional flexible photoacoustic device (MFPAD) that integrates electroluminescence, piezoelectric vibration, and pressure sensing into a single structure. Using airflow-assisted electrospinning, the device’s fibrous layers were fabricated to optimize mechanical properties and enable synchronized responses to luminescence, sound, and pressure. …”

Flexible Photoacoustic Device Integrating Electroluminescence, Piezoelectric Vibration, and Pressure Sensing by Qiaolin Chen (16327416)

“…This study addresses these challenges by developing a multifunctional flexible photoacoustic device (MFPAD) that integrates electroluminescence, piezoelectric vibration, and pressure sensing into a single structure. Using airflow-assisted electrospinning, the device’s fibrous layers were fabricated to optimize mechanical properties and enable synchronized responses to luminescence, sound, and pressure. …”

Structure of fuzzy PID controller [34]. by Nigatu Wanore Madebo (22146141)

Schematic representation of FixbbGCNs, the networks used in our experiments. by Jack B. Maguire (5123183)

Simulation networks and gene expression analysis across disease states. by Fatemeh Keikha (20917848)

Comparison of Gene Discovery and Performance Evaluation with Baseline Methods. by Fatemeh Keikha (20917848)

Fusion effectiveness of 6 groups of images. by Yandong Liu (11893664)

“…Experimental results demonstrate that our method outperforms existing approaches in preserving key targets in infrared videos and structural details in visible videos. Evaluation metrics indicate that the fusion outcomes obtained using our method achieve optimal values in 66.7% of cases, with sub-optimal and higher values accounting for 80.9%, significantly surpassing the performance of traditional single fusion methods.…”

Overall flowchart of Multi-agent fusion model. by Yandong Liu (11893664)

“…Experimental results demonstrate that our method outperforms existing approaches in preserving key targets in infrared videos and structural details in visible videos. Evaluation metrics indicate that the fusion outcomes obtained using our method achieve optimal values in 66.7% of cases, with sub-optimal and higher values accounting for 80.9%, significantly surpassing the performance of traditional single fusion methods.…”

Fusion rule set. by Yandong Liu (11893664)

“…Experimental results demonstrate that our method outperforms existing approaches in preserving key targets in infrared videos and structural details in visible videos. Evaluation metrics indicate that the fusion outcomes obtained using our method achieve optimal values in 66.7% of cases, with sub-optimal and higher values accounting for 80.9%, significantly surpassing the performance of traditional single fusion methods.…”

DataSheet1_Adaptive SPP–CNN–LSTM–ATT wind farm cluster short-term power prediction model based on transitional weather classification.ZIP by Guili Ding (16701822)

“…A convolutional neural network (CNN) with a multi-layer spatial pyramid pooling (SPP) structure is utilized to extract variable dimensional features. …”

Presentation1_A Photovoltaic Power Predicting Model Using the Differential Evolution Algorithm and Multi-Task Learning.pdf by Senshen Pang (13025715)

“…However, many prediction models focus exclusively on the algorithm structure in order to improve model accuracy, oblivious to how the dataset is constructed and divided for the prediction model. …”

DataSheet1_Guiding protein design choices by per-residue energy breakdown analysis with an interactive web application.PDF by Felipe Engelberger (15428915)

“…In this work, we present an interactive workflow for assessing the energetic contributions of single and multi-mutant designs of proteins. The energy breakdown guided protein design (ENDURE) workflow includes several key algorithms, including per-residue energy analysis and the sum of interaction energies calculations, which are performed using the Rosetta energy function, as well as a residue depth analysis, which enables tracking the energetic contributions of mutations occurring in different spatial layers of the protein structure. …”

DataSheet1_NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints.zip by Frances Zhu (14075688)

“…This solution is not only analytic in nature but also least squares optimal. The NN-Poly system identification or state prediction method is evaluated against a single-layer neural network and a polynomial trained on data generated by dynamic systems. …”