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)

Subjects:

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

Subjects:

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)

Subjects:

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)

Subjects:

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)

Subjects:

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. …”

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

Subjects:

Machine Learning Models for Efficient Property Prediction of ABX₃ Materials: A High-Throughput Approach by Soundous Touati (20282599)

Subjects: