Results 61 to 70 of about 9,795 (189)

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Research on urban power load forecasting based on improved LSTM

Frontiers in Energy Research
In this paper, the maximal information coefficient method-variational mode decomposition-bidirectional long short term memory network-adaptive boosting (MIC-VMD-Bi-LSTM-Adaboost) algorithm is used to forecast the power load.
Zhou Zhenglei, Chen Jun, Yang Zhou, Wu Wenguang, Ding Hong   +4 more
doaj   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Phishing URL Detection using Bi-LSTM

CoRR
Phishing attacks threaten online users, often leading to data breaches, financial losses, and identity theft. Traditional phishing detection systems struggle with high false positive rates and are usually limited by the types of attacks they can identify.
openaire   +2 more sources

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, EarlyView.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

Tactile Sensor-Based Body Center of Pressure Estimation System Using Supervised Deep Learning Models

Sensors
The center of pressure (CoP) is a key biomechanical indicator for assessing balance and fall risk; however, force plates, the gold standard for CoP measurement, are costly and impractical for widespread use.
Jaehyeon Baik, Yunho Choi, Kyung-Joong Kim, Young Jin Park, Hosu Lee   +4 more
doaj   +1 more source

Advances in Floating Solar Desalination Systems

Water and Environment Journal, EarlyView.
This review critically classifies floating solar desalination systems into five main categories and compares their thermal performance, productivity and technological limitations. Membrane‐based and multieffect systems showed the highest efficiencies, while traditional designs remain limited by heat losses and scaling.
Daiane Silva de Abreu Benedito, Kênia Kelly Freitas Sarmento, Vanessa Rosales Conserva, Keila Machado de Medeiros, Carlos Antônio Pereira de Lima   +4 more
wiley   +1 more source

New method of text representation model based on neural network

Tongxin xuebao, 2017
Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors ...
Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU   +3 more
doaj   +2 more sources

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source