Results 111 to 120 of about 56,042 (290)

A conceptual approach to the early learning of Algebra using a computer [PDF]

This thesis describes an investigation into the conceptual understanding of algebra by early learners (age 11-13 years) and how a computer-based approach may be used to improve such, without any consequent loss of manipulative skills.
Thomas, Michael O. J.
core  

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A Feature-Reinforced Ensemble Learning Framework for Space-Based DEM Correction

Remote Sensing
Near-global Digital Elevation Model (DEM) products generated through space-based radar techniques have become a basic data source for a variety range of applications.
Zidu Ouyang, Cui Zhou, Di Zhang, Zhiwei Liu, Jianjun Zhu, Jian Xie   +5 more
doaj   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Modulation of error sensitivity during motor learning across time, space and environment variability

Abstract We never experience the exact same situation twice. In our dynamic and constantly changing environment, we continuously need to adapt our behavior, either due to external (e.g., a change of wind) or internal factors (e.g., muscle noise).
Dmitrii I. Todorov, Maelys Moulin, Ethan Buch, Romain Quentin   +3 more
openaire   +2 more sources

Module BENL-NLNL

, 2013
French language and culture e-learning module for (exchange) students. This learning module was developed on the basis of a cross-cultural research project co-ordinated by professor Martine Verjans (Universiteit Hasselt – CTL).
VERJANS, Martine, THELEN, Marcel, HUYSMANS, Marieke, GELAN, Anouk   +3 more
core   +1 more source

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence

Developmental Cognitive Neuroscience
Adolescence is characterized by significant shifts in effort allocation. A well-known neuro-economic framework suggests that rewards help overcome potential effort costs. However, few studies have examined the neurobiological mechanisms by which rewards and associated effort costs drive adolescent learning.
Kramer, A.W., Krabbendam, L., Schaaf, J.V., Schaaf, J.V., Huizenga, H.M., van Duijvenvoorde, A.C.K.   +5 more
openaire   +8 more sources

Transformer With Feature Interaction and Fusion for Remote Sensing Image Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the rapid development of deep learning (DL), change detection (CD) in remote sensing (RS) image has achieved remarkable success. Nevertheless, as the image resolution improves, the visual features extracted by current methods have limited expression
Dongen Guo, Tao Zou, Ying Xia, Jiangfan Feng   +3 more
doaj   +1 more source