Can machine learning models identify which chemist made a molecule from structure alone? If so, models trained on literature data may exploit chemist intent rather than learning causal structure-activity relationships. We test this by linking CHEMBL...
Machine and deep learning methods for medical and healthcare applications have shown significant progress and performance improvement in recent years. These methods require vast amounts of training data which are available in the medical sector, albe...
Various applications for inter-machine communications are on the rise. Whether it is for autonomous driving vehicles or the internet of everything, machines are more connected than ever to improve their performance in fulfilling a given task. While i...
Turck USA is a specialist in sensor, fieldbus, and connectivity products, as well as interface technology, human-machine interfaces (HMI), and RFID systems. Turck offers efficient solutions for factory and …
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave (⭐ 1655)
Visual localization is a fundamental machine learning problem. Absolute Pose Regression (APR) trains a scene-dependent model to efficiently map an input image to the camera pose in a pre-defined scene. However, many applications have continually chan...
Indoor thermal comfort in smart buildings has a significant impact on the health and performance of occupants. Consequently, machine learning (ML) is increasingly used to solve challenges related to indoor thermal comfort. Temporal variability of the...
Various computing and data resources on the Web are being enhanced with machine-interpretable semantic descriptions to facilitate better search, discovery and integration. This interconnected metadata constitutes the Semantic Web, whose volume can po...
My pressure bar on my 99k machine is broken anyone know a good way to get a replacement in European union?...
Detecting if a text is humorous is a hard task to do computationally, as it usually requires linguistic and common sense insights. In machine learning, humor detection is usually modeled as a binary classification task, trained to predict if the give...
Install Hugo on macOS, Linux, Windows, BSD, and on any machine that can run the Go compiler tool chain.
BSH Bosch Siemens home appliances reverse engineering: D-Bus, washing machine, dryer electronics (⭐ 537)
The main objective of this work is to design and construct a microcomputer based system: to control electric appliances such as light, fan, heater, washing machine, motor, TV, etc. The paper discusses two major approaches to control home appliances....
This is an extensive list of small arms —including pistols, revolvers, submachine guns, shotguns, battle rifles, assault rifles, sniper rifles, machine guns, personal defense weapons, carbines, designated …
The future of innovation processes is anticipated to be more data-driven and empowered by the ubiquitous digitalization, increasing data accessibility and rapid advances in machine learning, artificial intelligence, and computing technologies. While...
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
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Decentralized Autonomous Regulated Company (DARC), a company virtual machine that runs on any EVM-compatible blockchain, with on-chain law system, multi-level tokens and dividends mechanism. (⭐ 9224)
An optical music recognition (OMR) system. Converts sheet music to a machine-readable version. (⭐ 695)
Gradient descent is a simple and widely used optimization method for machine learning. For homogeneous linear classifiers applied to separable data, gradient descent has been shown to converge to the maximal margin (or equivalently, the minimal norm)...