Results 41 to 50 of about 3,794 (184)

GRU-BERT for NILM: A Hybrid Deep Learning Architecture for Load Disaggregation

open access: yesAI
Non-Intrusive Load Monitoring (NILM) aims to disaggregate a household’s total aggregated power consumption into appliance-level usage, enabling intelligent energy management without the need for intrusive metering.
Annysha Huzzat   +5 more
doaj   +1 more source

A Partially Amended Hybrid Bi-GRU—ARIMA Model (PAHM) for Predicting Solar Irradiance in Short and Very-Short Terms

open access: yesEnergies, 2020
Solar renewable energy (SRE) applications are substantial in eradicating the rising global energy shortages and reversing the approaching environmental apocalypse.
Mustafa Jaihuni   +8 more
doaj   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

open access: yesSECURITY 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   +2 more
wiley   +1 more source

Bi-GRU Enhanced Cost-Effective Memory-Aware End-to-End Learning for Geometric Constellation Shaping in Optical Coherent Communications

open access: yesIEEE Photonics Journal
We propose a cost-effective and memory-aware end-to-end learning scheme utilizing bi-directional gated recurrent unit (bi-GRU) for geometric constellation shaping (GCS) under the first-order regular perturbation (FRP) auxiliary channel.
Zhiyang Liu   +4 more
doaj   +1 more source

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

open access: yesIET 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   +5 more
wiley   +1 more source

Attention-based Binary Question Answering Using Hybrid of Bi-LSTM and Bi-GRU

open access: yesمجلة بغداد للعلوم
Question Answering (QA) is a crucial aspect of Natural Language Processing (NLP) and information retrieval systems. Users usually hope to help with everyday life by teaching the program how to answer questions like a real person.
Nada Fadhil Mohammed, Israa Hadi Ali
doaj   +1 more source

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

open access: yesWIREs 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   +3 more
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali   +6 more
wiley   +1 more source

Recent Advances in Text Anonymization: A Systematic Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
This survey presents a unified, cross‐domain overview of text anonymization from 2021 to 2025, covering methods from rule‐based to LLM‐based approaches, relevant datasets, benchmarks, and evaluation strategies. It highlights the critical trade‐off between privacy and utility, underscores the importance of standardizing evaluation protocols and metrics,
Marina Litvak, Alípio Jorge
wiley   +1 more source

ISSA optimized spatiotemporal prediction model of dissolved oxygen for marine ranching integrating DAM and Bi-GRU

open access: yesFrontiers in Marine Science
In marine ranching aquaculture, dissolved oxygen (DO) is a crucial parameter that directly impacts the survival, growth, and profitability of cultured organisms.
Wenjing Liu   +7 more
doaj   +1 more source

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