Results 71 to 80 of about 2,151 (202)

Characterization of high-intensity, long-duration continuous auroral activity (HILDCAA) events using recurrence quantification analysis [PDF]

Nonlinear Processes in Geophysics, 2017
Considering the magnetic reconnection and the viscous interaction as the fundamental mechanisms for transfer particles and energy into the magnetosphere, we study the dynamical characteristics of auroral electrojet (AE) index during high-intensity ...
O. Mendes, M. O. Domingues, E. Echer, R. Hajra, V. E. Menconi   +4 more
doaj   +1 more source

Exposure index in digital radiography and its dependence on acquisition parameters, anatomy, and manufacturer

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract PURPOSE The exposure index (EI), the target exposure index (EIT), and the deviation index (DI) have been defined in the IEC Standard 62494‐1 Ed.1 2008‐08. This study investigates the impact of certain acquisition parameters, the imaged anatomy, and the manufacturer's specificities on the EI of radiological images and how these may affect EIT ...
Ioannis A. Tsalafoutas, Shady AlKhazzam, Mohammed Hassan Kharita   +2 more
wiley   +1 more source

A comparison and RQA areas example.

, 2016
A radiograph with a comparison marked by a yellow line. This comparison represents a saccadic movement between two fixations in opposite symmetric areas.
Eyal Amar (3153267), Yair Neuman (408141), Moshe Salai (3153264), Norbert Marwan (590710), Ehud Rath (3153270), Dan Assaf (408142)   +5 more
core   +1 more source

A time-series approach to random number generation: Using recurrence quantification analysis to capture executive behavior

Frontiers in Human Neuroscience, 2015
The concept of executive functions plays a prominent role in contemporary experimental and clinical studies on cognition. One paradigm used in this framework is the random number generation (RNG) task, the execution of which demands aspects of executive ...
Wouter eOomens, Wouter eOomens, Wouter eOomens, Joseph Hubertus Roald Maes, Fred eHasselman, Fred eHasselman, Jos I.M. Egger, Jos I.M. Egger, Jos I.M. Egger   +8 more
doaj   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, Volume 36, Issue 3, 8 January 2026.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

H2‐YOLO: An Efficient CNN‐Transformer Hybrid Detector for Pulmonary Nodule Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an efficient CNNâ€″Transformer hybrid detector, termed HÂ2‐YOLO, designed to address the challenge of balancing accuracy and real‐time performance in pulmonary nodule detection. By systematically reconstructing the backbone, neck, and detection head, we integrate multiple advanced mechanisms, including lightweight hybrid feature ...
Min Li, Yinping Jiang, Tao Xu, Peiyong Ji, Jingqi Hu, Wenlong Liu, Xuejian Li, Ruiqiang Guo   +7 more
wiley   +1 more source

A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis [PDF]

Journal of Artificial Intelligence and System Modelling
Selecting features with strong discriminatory capabilities is crucial for data classification challenges. Recurrence Quantification Analysis (RQA) is a promising technique for detecting seizures without assuming stationary conditions, accommodating ...
Vanithamani Palanisamy, A Ranichitra, Radhamani Ellapparaj   +2 more
doaj   +1 more source

A time‐series perspective on executive functioning: The benefits of a dynamic approach to random number generation

International Journal of Methods in Psychiatric Research, 2023
Objectives Executive functioning (EF) is a key topic in neuropsychology. A multitude of underlying processes and constructs have been suggested to explain EF, which are measured by at least as many different neuropsychological tests. However, these tests
Wouter Oomens, Joseph H. R. Maes, Fred Hasselman, Jos I. M. Egger   +3 more
doaj   +1 more source

Integrating Virtual Reality Into a Structural Geology Curriculum: Two Longitudinal Case Studies of Blended Immersive Learning in Practice

Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.
This article concerns two 9‐week longitudinal case studies of the integration of an immersive blended‐learning structural geology curriculum at an Australian university. Immersive learning environments (ILEs) have the capacity to enhance learning outcomes in STEM through their inherent ability to represent 3D concepts and embed their users in real ...
Cael Gallagher, Selen Türkay, Mackenzie Muir, David Conroy, Christoph Schrank, Maheswaran S.   +5 more
wiley   +1 more source

Automatic Seizure Detection Based on Nonlinear Dynamical Analysis of EEG Signals and Mutual Information

Basic and Clinical Neuroscience, 2018
Introduction: In this paper, nonlinear dynamical analysis based on Recurrence Quantification Analysis (RQA) is employed to characterize the nonlinear EEG dynamics.
Behnaz Akbarian, Abbas Erfanian
doaj