The genetic algorithm. by Viktoria Zemliak (19500335)

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

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

Presents the comparison of various density based algorithms. by Shahneela Pitafi (20454775)

Present an algorithm to prove P = NP by Sang-un Lee (22242910)

“…NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

Present an algorithm to prove P = NP by Sang-un Lee (22242148)

“…NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

Present an algorithm to prove P = NP by Sang-un Lee (22242055)

“…NP problem, a long-standing challenge in computer science, we present a novel deterministic algorithm that solves the Hamiltonian path problem, a representative NP-complete problem, in polynomial time. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

An overview of the organization of the study program. by Marialuisa Gandolfi (8639238)

Subjects:

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. by Marialuisa Gandolfi (8639238)

Subjects:

The schedule of enrolment, interventions, and assessments. by Marialuisa Gandolfi (8639238)

Subjects:

The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

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

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Hardware_code. by Mehdi Nadiri Andabili (22097275)

“…The presented CORDIC method eliminates multipliers by using adder and shifter operations, which provides efficient digital hardware implementation of the FHN model. …”

Software_code. by Mehdi Nadiri Andabili (22097275)

“…The presented CORDIC method eliminates multipliers by using adder and shifter operations, which provides efficient digital hardware implementation of the FHN model. …”

Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms.... by Quang Dung Dinh (20995766)

“…These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. …”

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