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

“…<p>This work introduces the use of Scaled Boundary Finite Element Method (SBFEM) in Multi-Material Topology Optimization (MMTO) problems, which is new in the literature. …”

The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

Subjects:

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

Data and codes for the paper "Machine-Learning-Enabled Spatial Pattern Mining: Evaluating the Impact of Imperfect Inputs". by Zhili Li (18836803)

“…This provides helpful guidance on using learning-based predictions for SPM.</p>…”

Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md. Maeen Molla (20827041)

Crops Recommendation AI-GeoInfo Framework Source Code by Manasa Yegamati (21228560)

<b>Study on urine diagnostic markers of diabetic nephropathy based on metabolomics and machine learning</b> by yuan sun (20399105)

<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

Ensemble learning model prediction results based on text indicators. by Zhiheng Zhang (9347282)

Subjects:

Clustering with k-means algorithm. by Efehan Ulas (10987211)

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

Comparison of planning results for different uncertainty quantification methods. by Tianhe Sun (21145341)

data and code by PENGCHENG LIU (20680641)

A two-stage robust rescheduling for flexible job shop based on release time prediction using a Q-learning-based hyper-heuristic evolutionary algorithm by Sihan Yang (18861979)

“…<p dir="ltr">This is the experimental data of the manuscript entitled "A two-stage robust rescheduling for flexible job shop based on release time prediction using a Q-learning-based hyper-heuristic evolutionary algorithm".…”

Machine Learning Models Based on Enlarged Chemical Spaces for Screening Carcinogenic Chemicals by Chao Wu (199897)

“…In the current study, an enlarged dataset containing 1697 compounds (940 carcinogens and 757 non-carcinogens) was curated and employed to construct screening models based on 12 types of molecular fingerprints, four ML algorithms, and two graph neural networks. …”

Code and data for "A reduced-scale adaptive morphing vehicle prototype with enhanced aerodynamic efficiency" by Peng Zhang (16789041)

“…<p dir="ltr">This dataset contains:</p><ul><li>CAD files for the design and fabrication of the proposed adaptive morphing vehicle prototype;</li><li>Computer programs for genetic-algorithm-based autonomous optimization;</li><li>Raw data acquired in the wind tunnel experiments for demonstrating and validating the morphing vehicle prototype and optimization algorithm; and</li><li>Computer codes for post-processing and visualizing raw data.…”

Algorithm framework. by Zongjin Li (38031)

Subjects:

The framework of Genetic algorithm for hyper-parameter optimization. by Balraj Preet Kaur (20370832)

Subjects:

Results obtained from Physics based machine learning models. by Akshansh Mishra (21001499)

Subjects:

Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study” by Long Zhang (11129139)