Results 141 to 150 of about 26,674 (270)

Scalp fast oscillations detected by high‐density EEG as a noninvasive predictor of surgical outcome in temporal lobe epilepsy with hippocampal sclerosis

Epilepsia Open, EarlyView.
Abstract Objective To evaluate whether scalp oscillatory patterns—particularly scalp fast oscillations (SFOs) (>30 Hz) detected using 256‐channel high‐density EEG (HD‐EEG)—are associated with and can predict surgical outcomes in patients with drug‐resistant temporal lobe epilepsy with hippocampal sclerosis (TLE‐HS) undergoing anterior temporal ...
Pongsakorn Kongsakorn, Suda Jirasakuldej, Peerasit Treesuthacheep, Totsapol Surawattanawong, Chusak Limotai   +4 more
wiley   +1 more source

The Impact of Carbon Pricing Mechanisms on Regional Power Sector Emissions: Evidence From Guangdong, China

Energy Science &Engineering, EarlyView.
ABSTRACT This study investigates low‐carbon transition pathways and carbon neutrality planning in Guangdong Province, China's largest energy consumer. Using integrated regression analysis, electricity demand is projected to increase from 850 TWh in 2023 to 1580 TWh by 2060.
Caixia Yang, Yao Xiao, Tao Chen, Erqun Zhao, Mingze Lei, Supannika Wattana, Buncha Wattana   +6 more
wiley   +1 more source

Unlocking the Potential of Carbon Nitride (CxNy) Electrocatalysts in Hydrogen Evolution, Oxygen Evolution and Overall Water Splitting

Exploration, EarlyView.
Electrocatalytic water splitting with carbon nitride (CxNy) materials has gained attention due to their synthesis, structure, and robust application. Among various CxNy types, g‐C3N4 is the most stable allotrope and extensively researched. This review explores recent advances in HER, OER, and OWS, focusing on defect engineering, structural engineering,
Zi Wei Tan, Neil Felicio Agesta, Ryan Yow Zhong Yeo, Joel Jie Foo, Wee‐Jun Ong   +4 more
wiley   +1 more source

Bioengineered Isoflavone–Probiotic Functional Foods for Sustainable Modulation of Metabolic and Reproductive Health in PCOS

Food Bioengineering, EarlyView.
Synergistic isoflavone‐probiotic action modulated metabolic, microbial and ovarian pathway ABSTRACT Polycystic ovary syndrome (PCOS) is a prevalent metabolic–endocrine disorder characterized by insulin resistance, hyperandrogenism, chronic inflammation, oxidative stress, and ovarian dysfunction, with growing evidence implicating gut microbiota ...
Jeyavelkumaran Renukadevi, Panneerselvam Sneha, Dhanapal Saravanan Mridula, Keerthivasan Nimithasree, Valliappan Sanjay   +4 more
wiley   +1 more source

DSN-STC: Leveraging Siamese networks for optimized short text clustering. [PDF]

PLoS One
Molaei M, Feizi-Derakhshi MR, Balafar MA, Tanha J.   +3 more
europepmc   +1 more source

Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes. [PDF]

Sensors (Basel), 2020
Kurek J, Antoniuk I, Świderski B, Jegorowa A, Bukowski M.   +4 more
europepmc   +1 more source

Rheological and Textural Properties of Clean‐Label 3D‐Printed Traditional Thai Dessert

Food Bioengineering, EarlyView.
ABSTRACT This study aimed to develop a clean‐label 3D‐printable food ink using a formulation based on Khanom Piak Poon, a traditional Thai dessert, enriched with carrot powder (CP) for enhanced nutritional value. Unlike conventional food printing inks that contain additive hydrocolloids, this ink relies on the natural reactions between starch, sugar ...
Anucha Pramuan, Phennapha Saokham, Chanawat Nitatwichit, Yardfon Tanongkankit, Saranyapak Chamnan, Suthathip Wongpansua, Jaturapatr Varith   +6 more
wiley   +1 more source

Contactless biometric verification from in-air signatures using deep siamese networks. [PDF]

Sci Rep
Salturk S, Pamukcu TE, Kahraman N.
europepmc   +1 more source

Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks. [PDF]

Sensors (Basel), 2020
Zhang WL, Yang K, Xin YT, Zhao TS.
europepmc   +1 more source

Siamese networks for generating adversarial examples

, 2018
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models misclassify it. Previous approaches in the literature demonstrated that adversarial examples can even be generated for the remotely hosted model.
Kulkarni, Mandar, Abubakar, Aria
openaire   +1 more source