Results 81 to 90 of about 35,687 (255)

Inroads into epilepsy through high‐frequency oscillations: Achievements and benchmark areas for improvement

Epilepsia, EarlyView.
Abstract High‐frequency oscillations (HFOs) were discovered more than 20 years ago, and since then they have been studied intensively in the context of epilepsy. HFOs encompass a broad spectrum of oscillations, typically ranging from 80 Hz to several kHz, that include both normal and pathological oscillations, documented in people with epilepsy and ...
Christos Panagiotis Lisgaras, Birgit Frauscher, Jean Gotman, Julia Jacobs, Philippe Kahane, Richard J. Staba, Maeike Zijlmans   +6 more
wiley   +1 more source

A highly charged and porous biochar embedded with hydrated ferric oxide nanoparticles for enhanced removal of Cd(II) and Cu(II) from water

Chemical Engineering Journal Advances
Owing to the limited pore structure and surface charged groups, it is still challenging for biochar (BC) as the host of metallic oxide nanoparticles to achieve the highly efficient treatment of heavy metals in water.
Yan Li, Shunli Wan, Zhenbao Liang, Wenjing Zhou, Ran Chen, Qidi Liu, Yixin Ma   +6 more
doaj   +1 more source

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future

Epilepsia Open, EarlyView.
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley   +1 more source

Solving Optimal Power Flow Control Problem Using Honey Formation Optimization Algorithm

IEEE Access
This paper introduces three new variations of the HFO-1 (Honey Formation Optimization with Single Component) algorithm, namely HFO-1a, HFO-1b and HFO-1c, adapted to address the optimal power flow (OPF) problem.
Volkan Yamacli, Hakan Isiker, Zeki Yetgin, Kadir Abaci   +3 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Water-In-Oil Emulsion as Boiler Fuel for Reduced NOx Emissions and Improved Energy Saving

Energies, 2019
An experimental system for observing the drop vaporization and microexplosion characteristics of emulsified droplets in high-temperature environments was conducted to analyze the effects of environmental temperature, droplet size, and water content on ...
Chung-Yao Hsuan, Shuhn-Shyurng Hou, Yun-Li Wang, Ta-Hui Lin   +3 more
doaj   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Elimination of High Frequency Oscillation in Dual Active Bridge Converters by dv/dt Optimization

IEEE Access, 2019
With the increased switching speed, the high-frequency oscillation (HFO) problem caused by the stray capacitances of the transformer and the high dv/dt of the dual active bridge (DAB) converter becomes more serious.
Bin Cui, Peng Xue, Xiaohua Jiang
doaj   +1 more source

Moving-edge detection via heat flow analogy

, 2011
In this paper, a new and automatic moving-edge detection algorithm is proposed, based on using the heat flow analogy. This algorithm starts with anisotropic heat diffusion in the spatial domain, to remove noise and sharpen region boundaries for the ...
Direkoglu, Cem, Nixon, Mark
core   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source