Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Ditching Diet Talk: A Qualitative Study of Teachers Implementing Weight-Inclusive Nutrition Curriculum in the High School Health Classroom. [PDF]
Gamble J +5 more
europepmc +1 more source
Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback
We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled temperature, strain, and pressure sensing enables real‐time grasp stability monitoring through measured TSM values, allowing robots to proactively adjust grip ...
Yebin Park +10 more
wiley +1 more source
School alienation and students' perceptions of teacher justice. [PDF]
Aegerter A, Hascher T, Mori J.
europepmc +1 more source
KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li +4 more
wiley +1 more source
The pathways to teacher growth: mediating roles of motivation and self-efficacy within the community of inquiry framework. [PDF]
Zuo M, Yang D, Xiang L, Yang Z.
europepmc +1 more source
Focusing on Teacher Learning Opportunities to Identify Potentially Productive Coaching Activities
Lynsey K. Gibbons, P. Cobb
semanticscholar +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Teaching in Hospital Educational Centers: Navigating Educational Dialogue in Multifaceted Context. [PDF]
Hen M, Hadari A, Kizel A.
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source

