Results 51 to 60 of about 873,018 (176)

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

Frontiers 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, Wenjing Liu, Ji Wang, Ji Wang, Zhenhua Li, Zhenhua Li, Qingjie Lu, Qingjie Lu   +7 more
doaj   +1 more source

Multi‐Objective Collaborative Process Optimization Based on Deep Learning of Laser In Situ Forging Additive Manufacturing Ti‐6Al‐4V

Rare Metals, Volume 45, Issue 9, September 2026.
ABSTRACT Aiming at the problems of insufficient forming quality and poor surface performance in the preparation of Ti‐6Al‐4V alloy by laser powder bed fusion (LPBF), this study proposed a laser in situ forging additive manufacturing (LIF‐AM) technology, which integrates LPBF with femtosecond laser in situ shock forging and realizes defect control and ...
Peng He, Yuming Huang, Wenhe Wang, Chao Wang, Yi Zhang, Min Huang, Shulun Yu, Haocheng Liu, Xinlei Pan, Lu Wang, Liucheng Zhou   +10 more
wiley   +1 more source

Earthquake Early Warning through Terrestrial Optical Networks: A Bi-GRU Attention Model Approach on SOP Data [PDF]

We propose a smart grid fiber sensing approach based on a Bi-GRU model with an attention mechanism for earthquake early warnings exploiting terrestrial optical networks.
Francesco Aquilino, Stefano Straullu, Vittorio Curri, Fehmida Usmani, Hasan Awad, Emanuele Virgillito, Rudi Bratovich, Rosanna Pastorelli, Roberto Proietti   +8 more
core   +1 more source

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

Analysis of the Demand for Bike Sharing in Oslo with Machine Learning [PDF]

, 2022
Masteroppgave(MSc) in Master of Science in Business Analytics - Handelshøyskolen BI, 2022This paper aims to create accurate predictive models for the bike-sharing system operated by Oslo City Bikes. The three different machine learning methods are used
Manoharan, Nithun, Hauger, Philip Anthony   +1 more
core  

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

WIREs 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, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Recent Advances in Text Anonymization: A Systematic Review

WIREs 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

Ensemble based high performance deep learning models for fake news detection

Scientific Reports
Social media has emerged as a dominant platform where individuals freely share opinions and communicate globally. Its role in disseminating news worldwide is significant due to its easy accessibility.
Mohammed E.Almandouh, Mohammed F. Alrahmawy, Mohamed Eisa, Mohamed Elhoseny, A. S. Tolba   +4 more
doaj   +1 more source

Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model

Journal of Applied Engineering and Technological Science
The estimation of the electromagnet relay remaining useful life is highly crucial to maintain reliability and avoid unscheduled breakdowns in various applications.
T. Maris Murugan, C. Reeda Lenus, S. Sridharan, A. Malligarjun   +3 more
doaj   +1 more source

Iono‐PhyTAU: A Lightweight Global Ionospheric TEC Prediction Model Based on Temporal Attention Unit and Physical Condition Constraints of the Ionosphere

Space Weather, Volume 24, Issue 9, September 2026.
Abstract Ionospheric Total Electron Content (TEC) is the primary error source causing signal delay in Global Navigation Satellite Systems (GNSS). High‐precision TEC prediction is essential for positioning, navigation, and space weather monitoring. Although deep learning models including ConvLSTM, ConvGRU, and Transformer have advanced TEC forecasting ...
Yiling Gui, Yajun Xu, Song Jia, Miaomiao Wang, Boyang Hao, Xinjie Wu   +5 more
wiley   +1 more source