To fight climate change and accommodate the increasing population, global crop production has to be strengthened. To achieve the "sustainable intensification" of agriculture, transforming it from carbon emitter to carbon sink is a priority, and under...
The two-dimensional (2D) ultrasound imaging is widely used in several fields. In this study, the potential of two-dimensional ultrasound imaging technique based on machine learning is shown. A line transmitter was placed at one side and a receiver ar...
City Logistics is characterized by multiple stakeholders that often have different views of such a complex system. From a public policy perspective, identifying stakeholders, issues and trends is a daunting challenge, only partially addressed by trad...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Find out more about Amida's advanced machine learining technologies which harness AL, ML and NLP to meet your business's data management needs.
In this paper, we present our first proposal of a machine learning system for the classification of freshwater snails of the genus Radomaniola. We elaborate on the specific challenges encountered during system design, and how we tackled them; namely...
a parameter server for distributed machine learning applications (⭐ 105)
A typical Vertical Federated Learning (VFL) scenario involves several participants collaboratively training a machine learning model, where each party has different features for the same samples, with labels held exclusively by one party. Since label...
scikit-learn: machine learning in Python (⭐ 65317)
Flow shops are widely studied machine environments in which all jobs must visit all machines in the same order. While conventional flow shops assume that each job traverses the shop only once, many industrial environments require jobs to loop through...
**I am getting increasingly worried about the amount of warning signals that are flashing red for hyperinflation- I believe the process has already begun, as I will lay out in this paper. The first st...
The repo for paper "Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency" (⭐ 1)
A machine thing (⭐ 0)
Jun 23, 2025 · update "feature update to windows 10 version 22h2" keeps crashing Recently resurrected an old W10 32 bit machine because it has old software that won't install/run on my 64 bit machines. …
The lack of accessible transactional data significantly hinders machine learning research for Anti-Money Laundering (AML). Privacy and legal concerns prevent the sharing of real financial data, while existing synthetic generators focus on simplistic...
Ball bearings find widespread use in various manufacturing and mechanical domains, and methods based on machine learning have been widely adopted in the field to monitor wear and spot defects before they lead to failures. Few studies, however, have a...
May 28, 2025 · In Florida, there isn’t a state law that clearly bans FRTs on its own, but Florida follows federal law when it comes to firearm regulations. So if the ATF classifies a specific FRT as a machine …
computing, mass storage refers to the storage of large amounts of data in a persisting and machine-readable fashion. In general, the term mass in mass storage
Supervised machine learning techniques have shown promising results in code analysis and optimization problems. However, a learning-based solution can be brittle because minor changes in hardware or application workloads -- such as facing a new CPU a...
Our classic citation tools make it easy to create a correctly-formatted citation for APA format or MLA format citation styles. ** We have taken the hassle out of citing your sources, and — trust us — you …