Results 31 to 40 of about 307,372 (292)

Kalman-Takens filtering in the presence of dynamical noise

, 2016
The use of data assimilation for the merging of observed data with dynamical models is becoming standard in modern physics. If a parametric model is known, methods such as Kalman filtering have been developed for this purpose.
Berry, Tyrus, Hamilton, Franz, Sauer, Timothy   +2 more
core   +1 more source

Web-Based Makeup Recommendation System Using Hybrid Filtering

Journal of Applied Informatics and Computing
The increasing use of makeup products in the modern era, driven by evolving beauty trends and e-commerce accessibility, presents challenges in selecting products suited to individual skin types and conditions. A recommendation system addresses this issue
Putu Mia Setya Utami, I Nyoman Prayana Trisna, Wayan Oger Vihikan   +2 more
doaj   +1 more source

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders

, 2017
Collaborative filtering (CF) has been successfully used to provide users with personalized products and services. However, dealing with the increasing sparseness of user-item matrix still remains a challenge.
Xu, Xiwei, Yao, Lina, Zhang, Shuai
core   +1 more source

An Improved Nonlinear Health Index CRRMS for the Remaining Useful Life Prediction of Rolling Bearings

Actuators
In this article, a novel prediction index is constructed, a hybrid filtering is proposed, and a remaining useful life (RUL) prediction framework is developed. In the proposed framework, different models are built for different operation states of rolling
Yongze Jin, Xubo Yang, Junqi Liu, Yanxi Yang, Xinhong Hei, Anqi Shangguan   +5 more
doaj   +1 more source

Implementation of a Hybrid Filtering Approach in a Website-based Football News Recommendation System

Sistemasi: Jurnal Sistem Informasi
The rapid growth of football news on digital portals has made it increasingly difficult for users to find information that matches their interests.
Krissna Haridarma Putra, Arif Nur Rohman, Norhikmah hikmah   +2 more
doaj   +1 more source

Variational Autoencoder-Based Hybrid Recommendation With Poisson Factorization for Modeling Implicit Feedback

IEEE Access, 2022
Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem.
Iwao Tanuma, Tomoko Matsui
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Retracted: E-Learning Recommender Systems Based on Goal-Based Hybrid Filtering

International Journal of Distributed Sensor Networks, 2014
This research work is based on the thesis contribution by proposing the goal-based hybrid filtering approach in e-learning recommender systems (eLearningRecSys).
Muhammad Waseem Chughtai, Ali Selamat, Imran Ghani, Jason J. Jung   +3 more
doaj   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

Ontology-Based E-Commerce Recommender System: A Hybrid Semantic Filtering Approach

Journal of Informatics and Web Engineering
The rapid growth of e-commerce has led to product overload, which has resulted in personalized product discovery becoming a crucial problem for consumers.
Jocelyn Pua, Su-Cheng Haw, Lucia Dwi Krisnawati, Shaymaa Al-Juboori, Gee-Kok Tong   +4 more
doaj   +1 more source