Results 51 to 60 of about 1,618,796 (246)
Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Prugel-Bennett, Adam +1 more
core +1 more source
Implementation of a Hybrid Filtering Approach in a Website-based Football News Recommendation System
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 +2 more
doaj +1 more source
Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas +16 more
wiley +1 more source
Learning algorithms for adaptive digital filtering [PDF]
In this thesis, we consider the problem of parameter optimisation in adaptive digital filtering. Adaptive digital filtering can be accomplished using both Finite Impulse Response (FIR) filters and Infinite Impulse Response Filters (IIR) filters. Adaptive
Nambiar, Raghu
core
Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba +5 more
wiley +1 more source
A hybrid quantum-classical filtering problem, where a qubit system is disturbed by a classical stochastic process, is investigated. The strategy is to model the classical disturbance by using an optical cavity.
Petersen, Ian R +3 more
core +1 more source
Recommender systems become essential with the presence of the internet and social media. The perceived benefits of the recommender system can make it easier for users to find suitable products and recommend other products, specifically with lots of ...
Ilham Saifudin, Triyanna Widiyaningtyas
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
An Architecture for a Mobile Recommender System in Tourism
During the last decade, scholars have paid a lot of attention to the Mobile Recommender Systems in tourism industry. With reducing information overload and narrowing the results according to tourists' characteristics and conditions, these systems lead to
Monireh Hosseini +2 more
doaj
Hybrid Filtering for Personalized and Health-Conscious Recipe Recommendations in UniEats
This research paper introduces UniEats, a recipe recommendation website designed to help university students better organize their meals and adopt healthier eating habits.
Hui Lek Liew +3 more
doaj +1 more source

