ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

, MSE, and MAE of the optimised algorithms. by Itxasne Antúnez Sáenz (22794696)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

Risk element category diagram. by Yao Hu (3479972)

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Data and code resources. by Sam Hall-McMaster (10343795)

“…Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Comparison of optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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The folder containing the code is provided as supportive documentation associated with this paper. by Quxi Kuang (22493270)

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Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

Subjects: “…bayesian optimization algorithm…”

Comparison of power consumption in optical and silicon-based neural network implementations. by Reyhane Ahmadi (14857363)

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Performance of machine learning algorithms. by Wenxue Liu (6877754)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

The genome coding scheme. by Wenbing Shi (5806160)

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Hardware_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

Software_code. by Mehdi Nadiri Andabili (22097275)

“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”

Pseudo-code for the study design model. by Jianpeng Zhang (528185)

“…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …”

Soft sensor modeling of steel pickling concentration based on IGEP algorithm by Li Wang (15202)

“…In this study, an indirect soft sensor model based on the improved gene expression programming (IGEP) algorithm has been constructed, leveraging easily measurable indexes from a large-scale dataset. …”

The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

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