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

Subjects:

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

“…<p dir="ltr">Aiming to prove the P vs. 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 (22242910)

“…<p dir="ltr">Aiming to prove the P vs. 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)

“…<p dir="ltr">Aiming to prove the P vs. 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 (22239061)

Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

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. …”

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

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

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

The machine learning framework implemented in the present work. by Akshansh Mishra (21001499)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

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

Subjects:

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Video 2_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

Video 1_Replicating associative learning of rodents with a neuromorphic robot in an open-field arena.mp4 by Tianze Liu (13922196)

Short-version of my talk "On networks and deep learning" at ICERM 2024 Algorithmic Advances and Implementation Challenges: Developing Practical Tools for Phylogenetic Inference by Claudia Solis-Lemus (19964739)

Data sets implemented for analysis. by Nan Huang (464390)