Results 101 to 110 of about 451,604 (277)

Incremental Sequence Learning

open access: yes, 2016
Updated version: Clarified the contribution (see abstract, intro, and conclusion); added figures to illustrate the architecture of the network and the difference between training and generation; different selection of experiments in Section 6.4; some textual ...
openaire   +2 more sources

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo   +2 more
wiley   +1 more source

Balanced Contrast Class‐Incremental Learning

open access: yesCAAI Transactions on Intelligence Technology
Continual learning aims to empower a model to learn new tasks continuously while reducing forgetting to retain previously learnt knowledge. In the context of receiving streaming data that are not constrained by the independent and identically distributed
Shiqi Yu, Luojun Lin, Yuanlong Yu
doaj   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

open access: yesAdvanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen   +11 more
wiley   +1 more source

On OWA, Machine Learning and Big Data: The case for IFS over universes [PDF]

open access: yesNotes on IFS
This paper provides a holistic view of open-world machine learning by investigating class discovery, and class incremental learning under OWA. The challenges, principles, and limitations of current methodologies are discussed in detail.
Panagiotis Chountas   +2 more
doaj   +1 more source

Class-Incremental Learning: A Survey

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence
Deep models, e.g., CNNs and Vision Transformers, have achieved impressive achievements in many vision tasks in the closed world. However, novel classes emerge from time to time in our ever-changing world, requiring a learning system to acquire new knowledge continually.
Da-Wei Zhou   +5 more
openaire   +3 more sources

Learning to Recognize Faces Incrementally [PDF]

open access: yes, 2007
374
Déniz Suárez, Oscar   +4 more
openaire   +2 more sources

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min   +13 more
wiley   +1 more source

Laser‐Assisted Processing and Modification of Bioactive Glasses: A Review

open access: yesAdvanced Healthcare Materials, EarlyView.
Laser technologies provide powerful tools to process and transform bioactive glasses for advanced biomedical applications. This review discusses laser‐matter interaction mechanisms, laser surface engineering, and laser‐assisted fabrication of scaffolds and nanofibers.
Antonio Riveiro   +8 more
wiley   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

open access: yesAdvanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales   +12 more
wiley   +1 more source

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