Results 111 to 120 of about 2,639,905 (339)

A Legal Perspective on Training Models for Natural Language Processing [PDF]

open access: yes, 2018
A significant concern in processing natural language data is the often unclear legal status of the input and output data/resources. In this paper, we investigate this problem by discussing a typical activity in Natural Language Processing: the training ...
Dore, Giulia   +4 more
core  

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

open access: yesAdvanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel   +3 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

open access: yesAdvanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova   +9 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Logic replicant: a new machine learning algorithm for multiclass classification in small datasets

open access: yesMachine Learning: Science and Technology
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral   +2 more
doaj   +1 more source

Calcium Imparts Advanced Functionalities to Silk Hydrogels for Biofabrication and Biomedical Innovation

open access: yesAdvanced Functional Materials, EarlyView.
The addition of calcium ions to silk fibroin enhances the hydrogel properties and, when combined with visible light crosslinking, enables compatibility with advanced light‐based fabrication techniques. Calcium ions extend the shelf‐life of silk and facilitate the fabrication of multizonal, multilayered constructs for advanced stimuli‐responsive ...
Hien A. Tran   +11 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

A literature survey of methods for analysis of subjective language [PDF]

open access: yes, 2009
Subjective language is used to express attitudes and opinions towards things, ideas and people. While content and topic centred natural language processing is now part of everyday life, analysis of subjective aspects of natural language have until ...
Täckström, Oscar
core   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

open access: yesAdvanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi   +10 more
wiley   +1 more source

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