Results 101 to 110 of about 5,951 (240)

Deep Learning Framework for Sentiment Prediction using Residual Connections in Bidirectional – Gated Recurrent Unit

International Islamic University Malaysia Engineering Journal
Sentiment analysis plays an essential role in Natural Language Processing (NLP) for differentiating emotions and opinions expressed in various pieces of text.
Varsha Nagaraju, Muthalambika Chaluvegowda Padma   +1 more
doaj   +1 more source

The Serotonin 2B (5‐HT2B) Receptor: A Narrative Review of Preclinical and Clinical Evidence on the Safety Considerations and Therapeutic Potential for the Treatment of Depression

Clinical Pharmacology &Therapeutics, EarlyView.
Major depressive disorder (MDD) and treatment‐resistant depression (TRD) remain leading causes of disability, providing the impetus for receptor‐level treatment strategies beyond monoamine reuptake. The serotonin 5‐HT2B receptor (5‐HT2BR) is uniquely positioned at the interface of central‐antidepressant mechanisms and peripheral cardiac risks.
Gia Han Le, Sabrina Wong, Danica E. Johnson, Diana K. Orsini, Yang Jing Zheng, Kayla M. Teopiz, Christine E. Dri, Joshua D. Rosenblat, Roger S. McIntyre   +8 more
wiley   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

Deep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang, Leifeng Meng, Qinghu Fan, Ziang Guo, Ting Bao, Pingdong Zhong, Fulin Luo   +6 more
wiley   +1 more source

Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network

IEEE Access
This study presents an accurate and efficient approach to fitness activity recognition by combining inertial measurement unit (IMU) sensor data with deep learning techniques.
Sakorn Mekruksavanich, Anuchit Jitpattanakul   +1 more
doaj   +1 more source

From Ship to Shore: A Review of Vessel‐To‐Grid Bidirectional Charging for Sustainable Maritime Transport

EcoEnergy, EarlyView.
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor, Tamer Kamel, Sarah Fear, Lee J. Durndell   +3 more
wiley   +1 more source

Transmission Line Icing Prediction Based on Dynamic Time Warping and Conductor Operating Parameters

Energies
Aiming to improve on the low accuracy of current transmission line icing prediction models and ignoring the objective law of icing of transmission lines, a transmission line icing prediction model considering the effect of transmission line tension on ...
Feng Wang, Hongbo Lin, Ziming Ma
doaj   +1 more source

Entropy‐Driven Innovations: Entropy Stabilized Oxides for High‐Performance Next‐Generation Lithium–Sulfur Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza, Jialiang Wei, Zhicai Wang, Zhaoyang Lv, Junye Cheng, Jia Xu, Liang An, Yuliang Liu, Sergey Ryazantsev, Shukui Li, Guangping Zheng   +10 more
wiley   +1 more source

Seminars in epileptology: Holistic management of epilepsy in adults with intellectual development disorders

Epileptic Disorders, EarlyView.
Abstract This seminar addresses the complexity of the management of epilepsy in adults with intellectual development disorders (IDD), advocating holistic and multidisciplinary care aligned with the learning objectives of the International League Against Epilepsy. Epilepsy is significantly more prevalent in people with IDD, presenting unique diagnostic,
Elena Fonseca, Antonella Riva, Samuel López‐Maza, Malin Zaddach, Marie‐Claire Porter, Ingo Borggraefe, Lance Watkins, Andreas Schulze‐Bonhage, Rohit Shankar, Pasquale Striano, Lina Nashef   +10 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source