Results 51 to 60 of about 39,124 (245)
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks
, 2017 Prediction of popularity has profound impact for social media, since it offers opportunities to reveal individual preference and public attention from evolutionary social systems.
Cheng, Wen-Huang +5 more
core +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
A Multi-Level Perspective Analysis of Green Construction Development in Russian Cities
Changing Societies & PersonalitiesRussia’s sustainable construction transition remains fragmented despite policy alignment with international frameworks. This study applies the Multi-Level Perspective (MLP), analysing literature and 40 expert interviews to examine interactions across ...
Yulia V. Ermolaeva
doaj +1 more source
EPJ Nuclear Sciences & Technologies, 2019 This paper examines how intermediaries could interact with other important actors identified by the multi-level perspective (MLP) framework, the niche actors and regime actors, to create niches for nuclear heat production in France.
Leurent Martin
doaj +1 more source
The multi-level perspective and micromobility services
Journal of Innovation & Knowledge, 2022 The reduced environmental impact of different forms of transport will contribute to achieving more sustainable cities as a result of more responsible consumption.
Cayetano Medina-Molina +2 more
doaj +1 more source
"Bilingual Expert" Can Find Translation Errors
, 2018 Recent advances in statistical machine translation via the adoption of neural sequence-to-sequence models empower the end-to-end system to achieve state-of-the-art in many WMT benchmarks. The performance of such machine translation (MT) system is usually
Chen, Boxing +5 more
core +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
Advanced Science, EarlyView.This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
, 2018 This paper proposes a new neural architecture for collaborative ranking with implicit feedback. Our model, LRML (\textit{Latent Relational Metric Learning}) is a novel metric learning approach for recommendation. More specifically, instead of simple push-
Hui, Siu Cheung, Luu, Anh Tuan, Tay, Yi
core +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions
Advanced Science, EarlyView.This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies +14 more
wiley +1 more source