Results 71 to 80 of about 271,594 (275)
IEEE AccessWith the growing complexity of wireless networks, manual management of networks becomes infeasible. To address this, self-organizing networks (SONs) have been introduced to provide solutions by offering self-organizing approaches to networks.
Hsin-Chang Tsai +2 more
doaj +1 more source
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains
IEEE Access, 2022 Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca +3 more
doaj +1 more source
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach
, 2018 The definition of a concise and effective testbed for Genetic Programming (GP) is a recurrent matter in the research community. This paper takes a new step in this direction, proposing a different approach to measure the quality of the symbolic ...
Martins, Joao Francisco Barreto da Silva +3 more
core +1 more source
Meta-learning of Textual Representations [PDF]
, 2020 Recent progress in AutoML has lead to state-of-the-art methods (e.g., AutoSKLearn) that can be readily used by non-experts to approach any supervised learning problem. Whereas these methods are quite effective, they are still limited in the sense that they work for tabular (matrix formatted) data only. This paper describes one step forward in trying to
Madrid, Jorge +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
, 2013 The combination of multiple classifiers using ensemble methods is increasingly important for making progress in a variety of difficult prediction problems. We present a comparative analysis of several ensemble methods through two case studies in genomics,
Pandey, Gaurav, Whalen, Sean
core +1 more source
Multimodal meta-learning through meta-learned task representations
Neural Computing and ApplicationsAbstractFew-shot meta-learning involves training a model on multiple tasks to enable it to efficiently adapt to new, previously unseen tasks with only a limited number of samples. However, current meta-learning methods assume that all tasks are closely related and belong to a common domain, whereas in practice, tasks can be highly diverse and originate
Anna Vettoruzzo +2 more
openaire +3 more sources
Advanced Functional Materials, EarlyView.Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System
IEEE AccessRecommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction.
Nida Siddique +7 more
doaj +1 more source