Results 91 to 100 of about 27,149 (269)

Visual Imitation Learning with Recurrent Siamese Networks

, 2019
It would be desirable for a reinforcement learning (RL) based agent to learn behaviour by merely watching a demonstration. However, defining rewards that facilitate this goal within the RL paradigm remains a challenge.
Berseth, Glen, Golemo, Florian, Pal, Christopher J.   +2 more
core  

NFYB Integrates Hormonal Signals into Tissue Allometry by Promoting Protein Biosynthesis

Advanced Science, EarlyView.
In the American cockroach, NFYB acts as a spatiotemporin that translates distinct hormonal cues into tissue‐specific allometry. Juvenile hormone activates NFYB in the early fat body, while 20‐hydroxyecdysone induces it in late wing pads. NFYB then promotes protein biosynthesis via core translational machinery, driving differential growth across the ...
Fangfang Liu, Shiming Zhu, Sishi Xia, Xiaoshuai Zhang, Qin Li, Zhanquan Zeng, Yuqing Liu, Wanyin Liang, Guanyu Zhou, Erxia Du, Suning Liu, Sheng Li   +11 more
wiley   +1 more source

Livestock Tango: U.S. and Latin America Dance Together, but Who Will Lead?

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines the competitiveness between Latin American and U.S. livestock and meat sectors. We employ a computable general equilibrium modeling framework to evaluate two scenarios: coordinated improvements in Latin American productivity, transport efficiency, and market access (Scenario I), and the minimum productivity gains required ...
Taís C. Menezes, Amanda M. Countryman, Dustin L. Pendell   +2 more
wiley   +1 more source

Can outsourcing pest and disease control help reduce pesticide expenditure? Evidence from rice farmers

Agribusiness, EarlyView.
Abstract Outsourcing pest and disease control (PDC) has grown rapidly worldwide, especially in developing countries. Although numerous studies have investigated various advantages of outsourcing PDC, little is known about its impact on pesticide expenditure.
Pengcheng Wang, Wanglin Ma, Mengling Diao   +2 more
wiley   +1 more source

Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

IEEE Access
The Siamese network architecture has been applied by deep learning practitioners to find similarities between images. In the domain of autonomous driving, this network configuration has recently gained attention for solving the change detection task ...
Harihara Bharathy Swaminathan, Aron Sommer, Uri Iurgel, Andreas Becker, Martin Atzmueller   +4 more
doaj   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

Agribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo, Fernanda Aparecida Silva, Michelle Márcia Viana Martins, Marcelo José Braga Nonnenberg, Ruan da Silva Vianna, Carla Cristina Passos Cruz   +5 more
wiley   +1 more source

Fully-Convolutional Siamese Networks for Object Tracking [PDF]

, 2016
The first two authors contributed equally, and are listed in alphabetical order.
Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr   +4 more
openaire   +2 more sources

Price Transmission and Leadership in the Global Poultry Market: Results From Parametric and Nonparametric Approaches

Agribusiness, EarlyView.
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb, Shaikh M. Rahman, Syed Imran Ali Meerza   +2 more
wiley   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source