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

Subjects:

Dispersion signal in principal and residual space in PCA and KPCA algorithm. by Emmanuel Ndongue Esseme (22615091)

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

Subjects:

The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

Subjects:

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

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Algorithm testing. by Ziad M. Ali (12516532)

“…To address the parameter estimation problem, a novel metaheuristic algorithm, the chaotic honey-badger algorithm, is developed and evaluated. …”

The accuracy of anchor-free algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

“…<p>The accuracy of anchor-free algorithms using test-set.</p>…”

The accuracy of anchor-based algorithms using test-set. by Olarewaju Mubashiru Lawal (14710251)

“…<p>The accuracy of anchor-based algorithms using test-set.</p>…”

Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”

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

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Algorithm comparison test results. by Hang Ren (1312905)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …”

Algorithm performance test results. by Yue Guo (695495)

Coarse grain contents and chronology, correlation test using SLICK algorithm by Yanan Li (10488293)

“…<p dir="ltr">This archive contains :coarse grain contents and chronology, and the correlation test using SLICK algorithm from</p><p dir="ltr">Li, Y., Donnelly, J. …”