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

“…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …”

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

The genetic algorithm. by Viktoria Zemliak (19500335)

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

“…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …”

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

“…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …”

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Code used for data analysis in this study. by Nourin Sultana (22339463)

Subjects:

|B1+| and |E| maps using the standard basis. by Maryam Arianpouya (12299222)

Subjects:

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

Subjects:

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

Subjects:

The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

Subjects:

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

Subjects:

The construction process of the CGO prediction model. by Wenbing Shi (5806160)

Subjects:

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

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Division map of the delivery area. by Yingbo Mao (22522192)

“…Finally, the multi-objective genetic algorithm is utilized again to plan delivery routes for customers in no-fly zones, ultimately forming a complete collaborative “vehicle-UAV” delivery scheme.To verify the effectiveness of the model and algorithm, simulation experiments are conducted using two sets of cases: 30 customer points in a local area of Harbin and the large-scale R201 case from the Solomon dataset. …”

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. …”

Simulation model and experimental setup. by Maryam Arianpouya (12299222)

Subjects:

The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

Subjects: