Results 51 to 60 of about 3,244 (195)
Fuzzy information granulation towards benign and malignant lung nodules classification
Computer Methods and Programs in Biomedicine UpdateLung cancer is the second common cancer with the highest death rate in the world. Cancer diagnosis in the early stages is a critical factor for increasing the treatment speed. This paper proposes a new machine learning method based on a fuzzy approach to
Fatemeh Amini +2 more
doaj +1 more source
Research on Short-Term Wind Power Forecasting by Data Mining on Historical Wind Resource
Applied Sciences, 2020 In order to enhance the accuracy of short-term wind power forecasting (WPF), a short-term wind power forecasting method based on historical wind resources by data mining has been designed.
Bin Tang +3 more
doaj +1 more source
Exploring New Chemical Paths in Quantum AI: Preliminary Accomplishments and Future Perspectives
Advanced Quantum Technologies, Volume 9, Issue 2, February 2026.Two new strategies derived from Chemical AI to promote the advancement of sustainable quantum technologies are presented and discussed. The first strategy relies on the chemical implementation of molecular fuzzy sets, which are quantum mixed states associated with chemical microheterogeneous systems. The second strategy relies on photochromic compounds
Pier Luigi Gentili
wiley +1 more source
HeliyonThe major point of proposed work is to study optimistic multi-granulation roughness of intuitionistic fuzzy ideals by using soft relations that is free from all the complications that challenged by many researchers.
Shahida Bashir +6 more
doaj +1 more source
Granular association rules for multi-valued data
, 2013 Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
core +1 more source
Segmentation and Tracking of Eruptive Solar Phenomena With Convolutional Neural Networks
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Solar eruptive events are complex phenomena, which most often include coronal mass ejections (CME), CME‐driven compressive and shock waves, flares, and filament eruptions. CMEs are large eruptions of magnetized plasma from the Sun's outer atmosphere or corona, that propagate outward into the interplanetary space.
Oleg Stepanyuk, Kamen Kozarev
wiley +1 more source
Energies, 2017 Winding hotspot temperature is the key factor affecting the load capacity and service life of transformers. For the early detection of transformer winding hotspot temperature anomalies, a new prediction model for the hotspot temperature fluctuation range
Li Zhang +5 more
doaj +1 more source
"Possible Definitions of an ’A Priori’ Granule\ud in General Rough Set Theory" by A. Mani [PDF]
, 2009 We introduce an abstract framework for general rough set theory from a mereological perspective and consider possible concepts of ’a priori’ granules and granulation in the same.
A, MANI
core
Scandinavian Journal of Medicine &Science in Sports, Volume 36, Issue 2, February 2026.ABSTRACT Elite performance in Olympic winter sports depends on the interplay among the athlete, equipment, and the snow or ice. This naturally evolves with temperature, humidity, wind, preparation, and contact between the equipment and its surface. Together, these factors continuously rebalance the forces of gravity, aerodynamic drag, and friction ...
Andreas Almqvist +4 more
wiley +1 more source
Taming Wild High Dimensional Text Data with a Fuzzy Lash
, 2017 The bag of words (BOW) represents a corpus in a matrix whose elements are the frequency of words. However, each row in the matrix is a very high-dimensional sparse vector.
Karami, Amir
core +1 more source