Results 131 to 140 of about 46,255 (310)

Microgel‐Based 3D Bioprinting: A Convergent Strategy Integrating Material Design, Jamming Dynamics, and Biological Function

Advanced Healthcare Materials, EarlyView.
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină, Andreea Ioana Dinu, Jana Ghițman   +2 more
wiley   +1 more source

Cold-Start Collaborative Filtering [PDF]

ACM SIGIR Forum, 2016
Collaborative Filtering (CF) is a technique to generate personalised recommendations for a user from a collection of correlated preferences in the past. In general, the effectiveness of CF greatly depends on the amount of available information about the target user and the target item.
openaire   +1 more source

Tag based collaborative filtering for recommender\ud systems

, 2009
Collaborative tagging can help users organize, share and retrieve information\ud in an easy and quick way. For the collaborative tagging information\ud implies user’s important personal preference information, it can be used to recommend\ud personalized ...
Huizhi Liang, Yuefeng Li, Nayak, Richi, Richi Nayak, Yue Xu, Liang, Huizhi, Li, Yuefeng, Xu, Yue   +7 more
core   +1 more source

Affinity‐Tuned Albumin Hitchhiking Extends the Bioorthogonal Capture Window in Pretargeting Radiotheranostics

Advanced Healthcare Materials, EarlyView.
Pharmacokinetic engineering of clickable radioligands was achieved via albumin hitchhiking approach within a pretargeted radiotheranostics delivery platform. This approach reduced rapid renal elimination, expanded bioorthogonal capture window, boosted tumor uptake by ∼3.5‐fold, and improved the tumor‐to‐liver ratio by ∼6‐fold.
Xie He, Nicholas L. Fletcher, Gayathri R. Ediriweera, Yifei Zhu, James Humphries, Christopher B. Howard, Jiazheng Wang, Craig A. Bell, Kristian Kempe, Kristofer J. Thurecht   +9 more
wiley   +1 more source

Personalised and Collaborative Learning Experience (PCLE) Framework for AI-driven Learning Management System (LMS) [version 1; peer review: 2 approved]

F1000Research
Background Understanding student engagement and academic performance is crucial in AI-driven e-learning environments. Many learning management systems (LMS) lack effective collaborative course recommendation strategies, limiting support for personalised ...
Ooi Shih Yin, Lew Sook Ling, Claireta Tang Weiling   +2 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Hybrid knowledge-infused collaborative filtering for enhanced movie clustering and recommendation

Ho Chi Minh City Open University Journal of Science - Engineering and Technology
This article proposes an enhanced knowledge-based collaborative filtering model for movie recommendation services to address the limitations of collaborative filtering in capturing the diverse preferences and specific characteristics of movies.
Hong Thi Thu Phan, Vuong Luong Nguyen, Trinh Quoc Vo, Nguyen Ho Trong Pham   +3 more
doaj   +1 more source

Simulating Light-Weight Personalised Recommender Systems in Learning Networks: A Case for Pedagogy-Oriented and Rating-Based Hybrid Recommendation Strategies [PDF]

Recommender systems for e-learning demand specific pedagogy-oriented and hybrid recommendation strategies. Current systems are often based on time-consuming, top down information provisioning combined with intensive data-mining collaborative filtering ...
Adriana J. Berlanga, Rob J. Nadolski, Bert van den Berg, Peter B. Sloep, Hendrik Drachsler, Hans G.K. Hummel, Rob E.J.R. Koper   +6 more
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Integrating collaborative filtering and matching-based search for product recommendation

, 2012
Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and thus help them in making good
Abdullah, Noraswaliza
core