Results 201 to 210 of about 90,690 (297)

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Deep Learning Enhances Weightbearing CT Detection of Lisfranc Instability: A FIXUS-AI Ankle Insight 3D Algorithm. [PDF]

Cureus
Ashkani-Esfahani S, Borjali A, Hollander J, Waryasz G, Guss D, Maas MM, DiGiovanni CW, Muratoglu OK, Kerkhoffs GM.   +8 more
europepmc   +1 more source

Aircraft Landing Gear Load Prediction Based on Lstm-Kan Network

Kaiyuan Feng, Du Wang, Mingli Dong, Yiqun Zhang, Chaofan Deng, Xiaoping Lou, Lianqing Zhu   +6 more
openalex   +1 more source

Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods

Journal of Clinical Laboratory Analysis, EarlyView.
This study applies machine learning methods, specifically Random Forest and Bagged CART, to classify Cryptosporidium spp. infections among children and identify key risk factors. The Bagged CART model demonstrated superior sensitivity and predictive performance, highlighting household crowding and water source as the most influential determinants of ...
Türkan Mutlu Yar, Zeynep Küçükakçali, Ülkü Karaman   +2 more
wiley   +1 more source

Leveraging similarity and community-based features for link prediction in temporal social networks using attention-enabled LSTM. [PDF]

Sci Rep
Ahuja R, Kaur S, Shakya HK, Singh SS.
europepmc   +1 more source

Comparison of Hybrid ETS-LSTM, Transformer, and XGBoost Models for Forecasting Air Quality Based on Historical Data

Bernard Owens Wiladjaja, Nicolas Satria Dermawan, Deven Utama, Islam Nur Alam   +3 more
openalex   +1 more source

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Brain age is an emerging concept that reflects complex, time‐dependent changes in brain structure, identifying departures from expected neurodevelopmental patterns. In the developing brain, accurate MRI‐based age estimation is a quantitative biomarker for detecting atypical neurodevelopment, facilitating early diagnosis, guiding clinical ...
Hosna Asma ull, Misha P. T. Kaandorp, Andras Jakab, Hyun Gi Kim   +3 more
wiley   +1 more source

Deep recurrent models for forecasting infectious diseases. [PDF]

Front Public Health
Alzamel M.
europepmc   +1 more source

Retraction Note: FSO-LSTM IDS: hybrid optimized and ensembled deep-learning network-based intrusion detection system for smart networks [PDF]

Abdulrahman Saad Alqahtani
openalex   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, EarlyView.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source