Results 231 to 240 of about 2,067,646 (378)
Optimized multi agent reinforcement learning algorithms with hybrid BiLSTM for cost efficient EV charging scheduling. [PDF]
Khekare U, Vedaraj I S R.
europepmc +1 more source
Forecasting Using Principal Components From a Large Number of Predictors
J. Stock, M. Watson
semanticscholar +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective. [PDF]
Alsulami AG +5 more
europepmc +1 more source
Strength through diversity: how cancers thrive when clones cooperate
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Enhancing peak demand forecasting with adaptive FastICA-transformer and entropy-based model customization. [PDF]
Saeed F, Aldera S, Alkhatib M.
europepmc +1 more source
Social media-based multi-modal ensemble framework for forecasting soybean futures price
Wuyue An, Lin Wang, Yu‐Rong Zeng
openalex +1 more source
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Systematic hyperparameter analysis of GRU and LSTM across demand pattern types: a demand-characteristic-driven meta-learning framework for rapid optimization. [PDF]
El-Meehy AO +2 more
europepmc +1 more source
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source

