adatechschool/projet-collectif-dataviz
projet-collectif-dataviz-helene-walid-lea-timothee created by GitHub Classroom (⭐ 0)
Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolut…
The work proposes the application of neural networks with particle swarm optimisation (PSO) and genetic algorithms (GA) to compensate for missing data in classifying high voltage bushings. The classification is done using DGA data from 60966 bushin...
zprintz/golf-data-analyzer
LPGA Data Analysis (⭐ 1)
The Eyes Have It!: Using Human-Selected Features for Predicting Athletes' Perfor…
Predicting athletes' performance has relied mostly on statistical data. Besides the traditional data, various types of data, including video, have become available. However, it is challenging to use them for deep learning, especially when the size of...
AMIS-Services/20190912-data-analytics-timeseries
Materials for the Conclusion & AMIS Machine Learning Guild - MeetUp on Data Analytics and Time Series (⭐ 3)
On the Design of Privacy-Aware Cameras: a Study on Deep Neural Networks
In spite of the legal advances in personal data protection, the issue of private data being misused by unauthorized entities is still of utmost importance. To prevent this, Privacy by Design is often proposed as a solution for data protection. In thi...
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models wi…
Intra-voxel models of the diffusion signal are essential for interpreting organization of the tissue environment at micrometer level with data at millimeter resolution. Recent advances in data driven methods have enabled direct compari-son and optimi...
Six Levels of Privacy: A Framework for Financial Synthetic Data
Synthetic Data is increasingly important in financial applications. In addition to the benefits it provides, such as improved financial modeling and better testing procedures, it poses privacy risks as well. Such data may arise from client informatio...
What is wrong with this database code - keep getting errors saying near line 15…
Tags: database | Score: 0
Comparing daily value in each year in DataFrame to same day-number's value in an…
Tags: python, pandas, dataframe, compare, time-series | Score: 0
Databinding issues with Data Template within DX Grid View (and others)
Try as I might, I cannot get data binding to work with a Data Template within any kind of enclosing view that shows multiple items (for example the Developer Express Grid View). Below are my page mode...
coding-jam/databinding
Android databinding example (⭐ 88)
AngularJS - Wikipedia
specifications, data-ng-* can also be used as a prefix. For example, both ng-app and data-ng-app are valid in AngularJS. AngularJS two-way data binding had its
Validasi data dengan menggunakan objek lookup pada borland delphi 7.0
Developing an application with some tables must concern the validation of input (specially in Table Child). In order to maximize the accuracy and data input validation. Its called lookup (took data from other dataset). There are two ways to look up d...
Tata Kelola Database Perguruan Tinggi Yang Optimal Dengan Data Warehouse
The emergence of new higher education institutions has created the competition in higher education market, and data warehouse can be used as an effective technology tools for increasing competitiveness in the higher education market. Data warehouse p...
Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi
Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. M...
dipamgoswami/UMID-Urine-Microscopic-Image-Dataset
Urine Microscopic Image Dataset with point and box annotations (⭐ 11)
Nonlinear Continuous Data Assimilation
We introduce three new nonlinear continuous data assimilation algorithms. These models are compared with the linear continuous data assimilation algorithm introduced by Azouani, Olson, and Titi (AOT). As a proof-of-concept for these models, we comput...
SelectLLM: Can LLMs Select Important Instructions to Annotate?
Instruction tuning benefits from large and diverse datasets; however, creating such datasets involves a high cost of human labeling. While synthetic datasets generated by large language models (LLMs) have partly solved this issue, they often contain...
Financial technologies (FinTech) for mental health: The potential of objective f…
In this paper, we present novel research methods for collecting and analyzing personal financial data alongside mental health factors, illustrated through a N=1 case study using data from one individual with bipolar disorder. While we have not found...