Results 71 to 80 of about 106,821 (289)
A framework to select a classification algorithm in electricity fraud detection
South African Journal of Science, 2020 In the electrical domain, a non-technical loss often refers to energy used but not paid for by a consumer. The identification and detection of this loss is important as the financial loss by the electricity supplier has a negative impact on revenue ...
Sisa Pazi +2 more
doaj +1 more source
Advanced Materials, EarlyView.A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
Experiment 1: Confusion matrix.
, 2020 Experiment 1: Confusion matrix.
Hirohiko Kaneko (793955) +2 more
core +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation
MathematicsThis paper examines the distribution of eigenvalues for a 2×2 random confusion matrix used in machine learning evaluation. We also analyze the distributions of the matrix’s trace and the difference between the traces of random confusion matrices ...
Oyebayo Ridwan Olaniran +2 more
doaj +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Wetland Classification, Attribute Accuracy, and Scale
ISPRS International Journal of Geo-InformationQuantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty ...
Kate Carlson +2 more
doaj +1 more source
, 2014 Confusion Matrix of a Binary Classification.mycoSet Confusion Matrix.
Leila Kosseim (680544) +4 more
core +1 more source