Results 221 to 230 of about 48,217 (288)

Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data

Archaeological Prospection, EarlyView.
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley   +1 more source

Intelligent trajectory tracking in autonomous plantation robots using PSO-tuned nonlinear fuzzy PID, fuzzy PID, and conventional PID controllers. [PDF]

Sci Rep
Hailu GL, Yatayew TT.
europepmc   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Impedance Control Method for Tea-Picking Robotic Dexterous Hand Based on WOA-KAN. [PDF]

Sensors (Basel)
Wang X, Li S, Ou J.
europepmc   +1 more source

“Hidden” Landscape of Prehistoric Burial Monuments: The Use of Remote Sensing in the Detection of Neolithic Long Barrows in Bohemia (Czech Republic)

Archaeological Prospection, EarlyView.
ABSTRACT Neolithic long barrows are among the earliest monumental structures in Europe, yet in many parts of Central Europe their surface expression has been largely erased by long‐term agricultural activity. This study evaluates the potential of integrated remote sensing approaches for identifying and contextualizing long barrows and associated ...
Petr Krištuf, Tomáš Kroupa, Peter Milo, Jan Havelka, Jan Turek, Martin Gojda   +5 more
wiley   +1 more source

Red-billed blue magpie optimization for training feedforward neural networks. [PDF]

Sci Rep
Zhang J, Li H, Zhang G, Chen R, Zhang T, Jin A.   +5 more
europepmc   +1 more source

A Prospection‐Led Archaeological Investigation of a Picenian and Roman Necropolis in Corinaldo (Marche, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT This paper presents the results of an integrated archaeological and geophysical investigation conducted between 2018 and 2024 at the newly discovered Picenian and Roman necropolis of Contrada Nevola (Corinaldo, Marche, Central Italy), identified in the framework of development‐led archaeology. The research strategy combined aerial photography,
Federica Boschi
wiley   +1 more source

Reinforcement Learning-Enabled Control and Design of Rigid-Link Robotic Fish: A Comprehensive Review. [PDF]

Sensors (Basel)
Dinh N, Vosbein D, Wang Y, Cui Q.
europepmc   +1 more source

Enzymatic synthesis of acylglycerides from agroindustrial residues: process design and simplified techno‐economic assessment

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study developed an enzymatic process to add value to palm oil fatty acid distillate (PFAD) and glycerol, resulting in the production of monoacylglycerides (MAG) and diacylglycerides (DAG). The biocatalyst loading (Novozym 435) and molar ratio of reagents were evaluated to obtain a suitable reaction condition in terms of space–time yield ...
Ronaldo Rodrigues de Sousa, Isabelle de Souza Barbosa, Ana Cristina de Araújo Collaço, Denise Maria Guimarães Freire, Viridiana Santana Ferreira‐Leitão   +4 more
wiley   +1 more source

Fast Forward the Future: What Are the Key Drivers in Intelligent Sensing for Agriculture? [PDF]

Plants (Basel)
Moreno H.
europepmc   +1 more source