Results 91 to 100 of about 7,528,176 (292)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
Joint features regression for Cold-Start Recommendation on VideoLectures.Net
, 2011 ECML/PKDD Discovery Challenge Workshop 2011, DCW 2011 -- 5 September 2011 through 5 September 2011 -- Athens -- 101687Recommender systems are popular information filtering systems used in various domains.
Capan, G., Yılmazel, Özgür
core
A genetic algorithm approach to recommender system cold start problem
, 2015 Recommender systems (RS) are ubiquitous and used in many systems to augment user experience to improve usability and they achieve this by helping users discover new products to consume.
Sanjeevan Sivapalan (10854021)
core +1 more source
Advanced Science, EarlyView.This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang +10 more
wiley +1 more source
The cold-start Problem in Recommendation Systems for Sales Predictions
, 2017 The cold-start problem remains a tricky problem for Recommender Systems. Park and Chu have attempted to solve this problem in the case of predicting values for new users (for existing items).
Bruines, R.E.
core +1 more source
Advanced Science, EarlyView.A biomimetic doppelgänger nanosystem neutralizes extracellular inflammatory cytokines and silences intracellular pyroptosis, reprogramming pathogenic macrophages to attenuate both joint and spine degeneration. ABSTRACT Osteoarthritis (OA) and intervertebral disc degeneration (IVDD) are debilitating musculoskeletal disorders driven by shared ...
Fudong Li +9 more
wiley +1 more source
Contextual bandits to increase user prediction accuracy in movie recommendation system [PDF]
ITM Web of ConferencesCold-start problems are inevitable phenomena where recommendation systems fail to accurately predict users’ favour and cause the loss of new users. The typical Multi-Armed Bandit (MAB) models are widely adopted as recommendation systems to solve cold ...
Chen Yizhe
doaj +1 more source
The problem of cold start emissions from vehicles
Combustion EnginesThe progression of passenger vehicles is progressing, and regulations are continually being revised, resulting in a decrease in car exhaust emissions. The European Commission has revised the RDE test procedure to include exhaust emissions during a cold start, as part of package 3.
Piotr Laskowski +3 more
openaire +1 more source
Community-Based Recommendations: a Solution to the Cold Start Problem
, 2011 The “Cold-Start” problem is a well-known issue in recommendation systems: there is relatively little information about each user, which results in an inability to draw inferences to recommend items to users.
Cohen, William +2 more
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