Results 101 to 110 of about 1,218,420 (299)

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Digital transformation, total factor productivity, and firm innovation investment

open access: yesJournal of Innovation & Knowledge
In the context of the digital economy, empowering firm innovation investment through digital transformation is an important strategy for promoting innovation development in China.
Jiaju Yu, Ye Xu, Jian Zhou, Wei Chen
doaj   +1 more source

Productivity Growth in Thailand and Indonesia: How Agriculture Contributes to Economic Growth [PDF]

open access: yes
Total factor productivity growth in the agricultural, industry and services sectors is studied in this paper for two countries: Thailand and Indonesia, over the period 1981 to 2002. A feature of the analysis is the decomposition of aggregate total factor
Peter Warr
core  

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Estimating the Total Factor Productivity in Romanian Economy [PDF]

open access: yes
The paper discusses several problems of estimating the total factor productivity included in the aggregate production function used in the Romanian macroeconomic model. The author suggests an improvement of the formula adopted in the version 2005 of this
Emilian Dobrescu
core  

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

open access: yesAdvanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid   +7 more
wiley   +1 more source

THE TOTAL FACTOR PRODUCTIVITY (TFP) OF THE TRADE SECTOR IN IRAN [PDF]

open access: yes
This article explores the important and effective components of the total factor productivity (Tfp) of the trade sector of Iran and estimates their effect in the recognized model by the annual data of the period of 1960-2004. First, we have estimated the
Bijan Safavi
core  

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

open access: yesAdvanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus   +8 more
wiley   +1 more source

PRODUCTIVITY-CONCENTRATION RELATIONSHIP IN THE U.S. MEATPACKING INDUSTRY [PDF]

open access: yes
Previous research found a positive relationship between concentration and total factor productivity in food manufacturing. On industry (i.e., meatpacking plants [SIC 2011]) was selected for independent analysis due to a relatively sharp increase in ...
Ward, Clement E.
core   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

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