Welcome to the machine. How can you serve us?
...
...
Machine learning techniques have outperformed numerous rule-based methods for decision-making in autonomous vehicles. Despite recent efforts, lane changing remains a major challenge, due to the complex driving scenarios and changeable social behavior...
In federated learning, model personalization can be a very effective strategy to deal with heterogeneous training data across clients. We introduce WAFFLE (Weighted Averaging For Federated LEarning), a personalized collaborative machine learning algo...
Mathematica implementations of machine learning algorithms used for prediction and personalization. (⭐ 371)
Context: https://www.theguardian.com/technology/2024/apr/19/oxford-future-of-humanity-institute-closes I work in STEM, so I mostly hear about Bostrom from Machine Learning experts, who often hate his...
This repo contains the code required to run the analyses described in the scientific article "A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer" by H. Hasannejadasl et al. (⭐ 0)
Fecal incontinence, arising from a myriad of pathogenic mechanisms, has attracted considerable global attention. Despite its significance, the replication of the defecatory system for studying fecal incontinence mechanisms remains limited largely due...
Background: Postpartum urinary incontinence (PUI) is a common issue among postnatal women. Previous studies identified potential related variables, but lacked analysis on certain intrinsic and extrinsic patient variables during pregnancy. Objective...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. (⭐ 18133)
Information about the illness, the medication, monitoring of health, etc is required. The machine is to be used for heart monitoring.
Technology is increasingly used in Nature Reserves and National Parks around the world to support conservation efforts. Endangered species, such as the Eurasian Lynx (Lynx lynx), are monitored by a network of automatic photo traps. Yet, this method p...
We introduce and investigate the computational complexity of a novel physical problem known as the Pinball Wizard problem. It involves an idealized pinball moving through a maze composed of one-way gates (outswing doors), plane walls, parabolic walls...
Dec 3, 2025 · Cult 77777 casino slot machine. ? Hot fruite slots action. ? Excellent chances to win! ? If you’re a fan of fruit and 777 slots, look no further than Sizzling Hot Casino! This casino slot is fun …
Forecasting the number of Olympic medals for each nation is highly relevant for different stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and media companies can allocate their resources to promising teams. Ex po...
Feb 6, 2026 · Industrial Revolution, in modern history, the process of change from an agrarian and handicraft economy to one dominated by industry and machine manufacturing. These technological …
This is the Ground Control software used to control the Maslow CNC Machine (⭐ 289)
The use of visual information for the navigation of unmanned ground vehicles in a cross-country environment recently received great attention. However, until now, the use of textural information has been somewhat less effective than color or laser ra...
Marine mammal communication is a complex field, hindered by the diversity of vocalizations and environmental factors. The Watkins Marine Mammal Sound Database (WMMD) constitutes a comprehensive labeled dataset employed in machine learning application...
Shampoo, a second-order optimization algorithm which uses a Kronecker product preconditioner, has recently garnered increasing attention from the machine learning community. The preconditioner used by Shampoo can be viewed either as an approximation...
A sandbox game/simulator that demonstrates machine learning with evolutionary algorithms. (⭐ 431)