Results 71 to 80 of about 440,724 (260)

Biosupercapacitors for Human‐Powered Electronics

Advanced Functional Materials, EarlyView.
Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim, Seungho Baek, Woojung Jung, Hayeon Bae, Junyoung Mun, Yong Ho Kim, Sunkook Kim, Jung Ho Kim   +7 more
wiley   +1 more source

Efficient Incremental Learning Using Dynamic Correction Vector

IEEE Access, 2020
One major challenge for modern artificial neural networks (ANNs) is that they typically does not handle incremental learning well. In other words, while learning the new features, the performances of existing features usually deteriorate. This phenomenon
Yun Xiang, Yongbiao Miao, Jingyin Chen, Qi Xuan   +3 more
doaj   +1 more source

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions [PDF]

, 2023
Stefan Leitner, M. Jehanzeb Mirza, Wei Lin, Jakub Micorek, Marc Masana, Mateusz Koziński, Horst Possegger, Horst Bischof   +7 more
openalex   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source

Robust and Adaptive Incremental Learning for Varying Feature Space

IEEE Access
Real-world multiple or streaming tabular datasets, such as electronic health records from various sources and internet-of-things data generated from different devices, typically exhibit varied feature spaces depending on the datasets. Batch-mode learning
Cheol Ho Kim, Jung-Hoon Lee, Hawon Shin, Ock Kee Baek   +3 more
doaj   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source

Artificial Compound Eye for Clear Vision in Harsh Environment

Advanced Functional Materials, EarlyView.
Artificial compound eye (CE) with exceptional imaging and motion tracking capturing the movement of a spider and swinging thread with a wide field of view. Surface modifications ensure clear vision of alphabetic letters in rain and fog. Images captured in fog with CE remains visible 3 times longer than simple eyes (SE).
Kehinde Kassim, Qiuyun Lu, Hao Xuan, Nobuo Maeda, Xingyu Li, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Learning Automata Based Incremental Learning Method for Deep Neural Networks

IEEE Access, 2019
Deep learning methods have got fantastic performance on lots of large-scale datasets for machine learning tasks, such as visual recognition and neural language processing. Most of the progress on deep learning in recent years lied on supervised learning,
Haonan Guo, Shilin Wang, Jianxun Fan, Shenghong Li   +3 more
doaj   +1 more source

Incremental Machine Learning for Soft Pneumatic Actuators with Symmetrical Chambers [PDF]

, 2023
Yuriy Kozhubaev, Elena Ovchinnikova, Ivanov Viacheslav, Svetlana Krotova   +3 more
openalex   +1 more source

A Learning Algorithm based on High School Teaching Wisdom [PDF]

, 2010
A learning algorithm based on primary school teaching and learning is presented. The methodology is to continuously evaluate a student and to give them training on the examples for which they repeatedly fail, until, they can correctly answer all types of
Philip, Ninan Sajeeth
core