Results 31 to 40 of about 1,979,450 (271)
Climate ServicesCommunities in drought-prone areas continued to fall into new vulnerability traps due to increasing water demand and stress. The study assessed groundwater development and management constraints in the Chiredzi and Zvishavane districts of Zimbabwe ...
Pascal Manyakaidze +2 more
doaj +1 more source
Learning More Universal Representations for Transfer-Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Tamaazousti, Youssef +4 more
openaire +4 more sources
Ensemble Transfer Learning Algorithm
IEEE Access, 2018 Transfer learning and ensemble learning are the new trends for solving the problem that training data and test data have different distributions. In this paper, we design an ensemble transfer learning framework to improve the classification accuracy when
Xiaobo Liu +4 more
doaj +1 more source
Learning strategies scale: adaptation to Portuguese and factor structure [PDF]
, 2018 Since learning strategies seem to be an important set of variables to explain the effectiveness of training and e-learning in organizations is here to stay, this paper aimed to analyze the factor structure and psychometric properties of a Learning ...
Martins, Lara Barros +2 more
core +2 more sources
Science communication on TikTok: toward transformative and post-normal science
Frontiers in CommunicationScience communication on social media is becoming increasingly important in order to promote an open dialog between science and the public. This raises the question of how to present topics related to climate change in a way that is both scientific and ...
Claudia Frick +2 more
doaj +1 more source
Smart City Development with Urban Transfer Learning
, 2018 Nowadays, the smart city development levels of different cities are still unbalanced. For a large number of cities which just started development, the governments will face a critical cold-start problem: 'how to develop a new smart city service with ...
Guo, Bin, Wang, Leye, Yang, Qiang
core +2 more sources
Transfer learning of language-independent end-to-end ASR with language model fusion
, 2019 This work explores better adaptation methods to low-resource languages using an external language model (LM) under the framework of transfer learning. We first build a language-independent ASR system in a unified sequence-to-sequence (S2S) architecture ...
Baskar, Murali Karthick +4 more
core +1 more source
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey
Sensors, 2022 Transfer learning is a pervasive technology in computer vision and natural language processing fields, yielding exponential performance improvements by leveraging prior knowledge gained from data with different distributions.
Lauren J. Wong, Alan J. Michaels
doaj +1 more source
Effectiveness of learning transfer in National Dual Training System (NDTS) [PDF]
, 2011 Learning transfer is the ultimate goal of any training programme. The new Malaysian skills training is based on the dual learning principle in which trainees alternate between attending theoretical classes in the skills training institute and ...
Ahmad, Azmi
core