Results 61 to 70 of about 40,963 (207)

Graph-RAT programming environment [PDF]

, 2009
Graph-RAT is a new programming environment specializing in relational data mining. It incorporates a number of different techniques into a single framework for data collection, data cleaning, propositionalization, and analysis. The language is functional
McEnnis, Daniel
core   +1 more source

Taming the Immiscibility of Gold, Iron, and Boron to Craft Chemodegradable Nanoparticles for Multimodal Imaging and Radiotherapy

Advanced Healthcare Materials, Volume 15, Issue 16, 24 April 2026.
Over half of cancer patients undergo radiotherapy. Laser ablation enabled the synthesis of immiscible Au‐Fe‐B nanoparticles designed as degradable bimodal radiosensitizers for X‐ray radiotherapy (XRT), boron neutron capture therapy (BNCT), and bimodal imaging for X‐ray computed tomography (CT) and magnetic resonance imaging (MRI). These nanosensitizers
Michael Bissoli, Clara M.G. de Faria, Veronica Torresan, Maria Assunta Lacavalla, Mattia Cattelan, Denis Badocco, Paolo Pastore, Pasquina Marzola, Laura Cansolino, Cinzia Ferrari, Ian Postuma, Riccardo Vago, Silva Bortolussi, Antonello E. Spinelli, Daniel Forrer, Vincenzo Amendola   +15 more
wiley   +1 more source

Leveraging Outage Probability of a Weibull-faded Gamma-shadowed Channel with co-channel Interference for ChatGPT-Driven QoS Prediction

Journal of Communications Software and Systems
In this paper, a model of a wireless receiver based on macro diversity (MD) technique is considered. The system consists of a macro diversity SC receiver (MD SC) that combines the output signals from two micro diversity (mD SC) receivers with L input ...
Miloš Popović, Nikola Samardžić, Suad Suljović, Nenad Petrović, Selena Vasić, Vuk Vujović   +5 more
doaj   +1 more source

Machine Learning in Proof General: Interfacing Interfaces [PDF]

Electronic Proceedings in Theoretical Computer Science, 2013
We present ML4PG - a machine learning extension for Proof General. It allows users to gather proof statistics related to shapes of goals, sequences of applied tactics, and proof tree structures from the libraries of interactive higher-order proofs ...
Ekaterina Komendantskaya, Jónathan Heras, Gudmund Grov   +2 more
doaj   +1 more source

Identifying Fake News using Emotion Analysis [PDF]

, 2019
This paper presents research applying Emotional Analysis to “Fake News” and “Real News” articles to investigate whether or not there is a difference in the emotion used in these two types of news articles. The paper reports on a dataset for Fake and Real
Gilleran, Brady
core   +2 more sources

Fp-Growth Algoritmasi- Weka Uygulaması

SOCIAL MENTALITY AND RESEARCHER THINKERS JOURNAL, 2018
Data mining is a wide field for researchers because of their various approaches to information discovery in large volumes of data stored in different formats. By applying data mining techniques, the discovery of unknown patterns and the relationships between the data are discovered.
openaire   +2 more sources

WEKA: a machine learning workbench [PDF]

Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference, 2002
WEKA is a workbench for machine learning that is intended to aid in the application of machine learning techniques to a variety of real-world problems, in particular, those arising from agricultural and horticultural domains. Unlike other machine learning projects, the emphasis is on providing a working environment for the domain specialist rather than
G. Holmes, A. Donkin, I.H. Witten
openaire   +1 more source

Arm‐Length‐Controlled CsPbBr3 Nanocrystals for Tunable Optical and Assembly Behavior

Advanced Materials, Volume 38, Issue 23, 22 April 2026.
In this work, the synthesis parameters that dictate the formation of armed CsPbBr3 nanocrystals are described, and routes enabling precise control over arm length are proposed. Direct links between morphology and optoelectronic behavior are established.
Irina Skvortsova, Sudipta Seth, Juliette Zito, Robin Girod, Bob Van Hout, Annick De Backer, Tom Stoops, Sergey Abakumov, Evgenii Vlasov, Tejmani Behera, Sandra Van Aert, Elke Debroye, Johan Hofkens, Sara Bals   +13 more
wiley   +1 more source

Performance analysis of unsupervised feature selection methods

, 2012
Feature selection (FS) is a process which attempts to select more informative features. In some cases, too many redundant or irrelevant features may overpower main features for classification.
Inbarani, H. Hannah, Parveen, A. Nisthana, Sathishkumar, E. N.   +2 more
core   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source