Results 111 to 120 of about 3,080,648 (304)
Semantic Super-Resolution via Self-Distillation and Adversarial Learning
Semantic super-resolution (SR) is an approach that improves the SR performance by leveraging semantic information about the scene. This study develops a novel semantic SR method that is based on the generative adversarial network (GAN) framework and self-
Hanhoon Park
doaj +1 more source
SD$^2$: Self-Distilled Sparse Drafters
Speculative decoding is a powerful technique for reducing the latency of Large Language Models (LLMs), offering a fault-tolerant framework that enables the use of highly compressed draft models. In this work, we introduce Self-Distilled Sparse Drafters (SD$^2$), a novel methodology that leverages self-data distillation and fine-grained weight sparsity ...
Lasby, Mike +5 more
openaire +2 more sources
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
FedRAS: a dual-strategy framework for federated learning on heterogeneous devices
Federated learning enables multiple clients to collaboratively train a global model using their respective local datasets. While it offers advantages such as privacy preservation and efficient data utilization, its practical deployment is still ...
Mohan Xu, Lena Wiese
doaj +1 more source
Timestamp-Guided Knowledge Distillation for Robust Sensor-Based Time-Series Forecasting
Accurate time-series forecasting plays a vital role in sensor-driven applications such as energy monitoring, traffic flow prediction, and environmental sensing.
Jiahe Yan +5 more
doaj +1 more source
APPLICATION OF MODEL PREDICTIVE CONTROL (MPC) TUNING STRATEGY IN MULTIVARIABLE CONTROL OF DISTILLATION COLUMN [PDF]
A model predictive control strategy is proposed for multivariable nonlinear control problem in a distillation column. The aim is to provide a solution to nonlinear control problem that is favorable in terms of industrial implementation.
Wahid, A., Ahmad, A., A. Wahid, A. Ahmad
core +1 more source
Our study identifies the HDACs‐STAT3 axis as key regulator for M2 macrophage accumulation in DLBCL. We developed Chid@M2pep‐EVs/TP, a pH‐responsive drug delivery system for M2 macrophage specific chidamide administration. By coupling M2‐targeted chidamide with EVs‐mediated delivery, this system reprograms M2 to M1 via HDAC inhibition and STAT3 ...
Bo Dai +15 more
wiley +1 more source
Simulation of a new Pressure Swing Batch Distillation System
The operation and performance of a new pressure swing batch distillation configuration is investigated by rigorous simulation calculations. A maximum boiling point azeotrope is separated in a double column batch rectifier. We study the influence of the
Kopasz, A., Modla, Gábor, Lang, P.
core
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
ERK‐Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells
With a powerful combination of in vivo, ex vivo, and in vitro models, the authors highlight a novel FGF‐ERK signaling regulation of YAP at the S128 site in neural crest‐derived stem cells. This study opens exciting new directions in stem cell biology and craniofacial biology, paving the way for potential innovations in the treatment of craniofacial ...
Xiaolei Zhao +16 more
wiley +1 more source

