Results 111 to 120 of about 873,258 (289)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

A distributed scheduling algorithm for heterogeneous real-time systems [PDF]

Much of the previous work on load balancing and scheduling in distributed environments was concerned with homogeneous systems and homogeneous loads.
El-Toweissy, Mohamed, Mukkamala, Ravi, Zeineldine, Osman   +2 more
core   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

If Not Only Numbers Count: Allocation of Equal Chances [PDF]

It is assumed that medical guidelines specify the appropriate amount of a divisible good which each individual should receive. Individual requirements and probabilities that the treatment is successful if an appropriate amount is received differ.
Marlies Ahlert
core  

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming

Journal of Applied Mathematics, 2014
In practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint.
Atta Ullah, Javid Shabbir, Zawar Hussain, Bander Al-Zahrani   +3 more
doaj   +1 more source

Random-allocation and urn models

Journal of Applied Probability, 2004
We review some urn and random-allocation models, mostly using probability generating function (PGF) methods. We begin by formulating a basic problem which can be thought of as either an urn or a random-allocation model; a PGF solution to it is outlined.
openaire   +2 more sources

Liver Stiffness Directs Intrahepatic Cholesterol Accumulation Through YAP/TAZ in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
Liver stiffness promotes intrahepatic cholesterol accumulation by repressing LXRα through YAP/TAZ activation. Stiff matrices impair cholesterol efflux in hepatocytes, while YAP/TAZ deletion restores LXRα activity and prevents cholesterol‐induced fibrosis.
Na Young Lee, Myeung Gi Choi, Ho Jae Ryu, Young Jin Min, Seon Min Kim, Yeonseok Chung, Bo Kyung Koo, Yun Pyo Kang, Won Kim, Ja Hyun Koo   +9 more
wiley   +1 more source

A Dynamic Model of Settlement [PDF]

We investigate the role of settlement in a dynamic model of a payment system where the ability of participants to perform certain welfare-improving transactions is subject to random and unobservable shocks.
Cyril Monnet, Ted Temzelides, Thorsten Koeppl   +2 more
core  

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source