Results 91 to 100 of about 2,841,275 (318)

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

AccuClass: A comprehensive tool for accuracy metrics evaluation in machine learning and remote sensing classification

SoftwareX
AccuClass is a modular software tool developed to support critical evaluation of raster image classification accuracy across a variety of disciplines—including Earth sciences, environmental monitoring, and medical diagnostics.
P. Kramarczyk, B. Hejmanowska
doaj   +1 more source

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, Chantelle M. Clohessy, Gary D. Sharp   +2 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Theoretical analysis of an alphabetic confusion matrix [PDF]

Perception & Psychophysics, 1971
A study was undertaken to acquire a confusion matrix of the entire upper-case English alphabet with a simple nonserifed font under tachistoscopic conditions. This was accomplished with two experimental conditions, one with blank poststimulus field and one with noisy poststimulus field, for six Ss run 650 trials each.
openaire   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Eigenvalue Distributions in Random Confusion Matrices: Applications to Machine Learning Evaluation

Mathematics
This 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, Ali Rashash R. Alzahrani, Mohammed R. Alzahrani   +2 more
doaj   +1 more source

人間教育に資する「幼小接続期カリキュラム」のあり方（2）― カリキュラム・マネジメントから考察する「とまどいマトリクス」の活用 ― [PDF]

, 2016
： In this study, with reference to the improvement of connecting-period curriculum that contributes to HumanGrowth, we examined whether the starting curriculum which took advantage of “Confusion Matrix” was enhanced bythe curriculum management. According
善野 八千子
core   +1 more source

Electrically Readable Lateral Flow Assay Using Organic Transistors for Diagnostic Applications

Advanced Materials, EarlyView.
Electrolyte‐gated organic field‐effect transistors (EGOFETs) are integrated with lateral flow (LF) paper fluidics to create a reusable, portable, and low‐cost point‐of‐care (PoC) diagnostic test. The devices are validated for Human Immunoglobulin G detection, achieving high sensitivity (0.1 fm), selectivity, and reproducibility with rapid results in 20–
María Jesús Ortiz‐Aguayo, Carme Martínez‐Domingo, Diego Gutiérrez, Dean Kos, Marta Mas‐Torrent   +4 more
wiley   +1 more source

Wetland Classification, Attribute Accuracy, and Scale

ISPRS International Journal of Geo-Information
Quantification 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, Barbara P. Buttenfield, Yi Qiang   +2 more
doaj   +1 more source