Results 141 to 150 of about 5,451,620 (296)

SparGlu: A sparse‐data evaluation framework for gated recurrent unit‐based blood glucose prediction across varying monitoring intervals

Journal of Intelligent Medicine, EarlyView.
A sparse‐aware GRU model accurately predicts blood glucose levels using downsampled and limited data, achieving clinically safe forecasts even under low‐monitoring conditions. By effectively capturing glucose dynamics through residual learning, the model supports personalized diabetes self‐management, offering a practical solution for resource‐limited ...
Genet Tadese Aboye, Jasper Gielen, Gizeaddis Lamesgin Simegn, Jean‐Marie Aerts   +3 more
wiley   +1 more source

Klasifikasi Berita Bahasa Indonesia dengan Recurrent Neural Network (RNN)

Penelitian ini bertujuan untuk mengembangkan model klasifikasi dokumen berita berbahasa Indonesia menggunakan Recurrent Neural Network (RNN). Dengan kemajuan teknologi informasi dalam satu dekade terakhir, media online telah menjadi sumber informasi ...
Agam, Muh. Ridha, Aditya, Christian Sri Kusuma, Wicaksono, Galih Wasis   +2 more
core   +2 more sources

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

Programmable Temporal Dynamics in a Laser Neuron for High‐Speed Photonic Reservoir Computing

Laser &Photonics Reviews, EarlyView.
Memory and nonlinearity play crucial roles in reservoir computing (RC). An adaptive photonic RC system is demonstrated based on a high‐speed laser graded neuron, whose dynamics, encompassing memory and nonlinearity, can be flexibly programmed through a straightforward bias‐tuning approach.
Yikun Nie, Dongliang Wang, Bo Yang, Jiayong Peng, Zihao Wang, Chaoran Huang   +5 more
wiley   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Forecasting Fossil Energy Price Dynamics with Deep Learning: Implications for Global Energy Security and Financial Stability

Algorithms
This study investigates the application of advanced deep learning models to forecast fossil energy prices, a critical factor influencing global economic stability.
Bilal Ahmed Memon
doaj   +1 more source

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

Portal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

Journal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte, Gustavo A. Schwartz   +1 more
wiley   +1 more source

Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN). [PDF]

Health Inf Sci Syst, 2019
Moitra D, Mandal RK.
europepmc   +1 more source