Results 191 to 200 of about 15,336,813 (241)

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source

Investigation of Stray‐Light Patterns in the eROSITA X‐Ray Cameras

Astronomische Nachrichten, EarlyView.
ABSTRACT eROSITA (extended ROentgen Survey with an Imaging Telescope Array) is the soft X‐ray instrument aboard the Spectrum‐Roentgen‐Gamma (SRG) mission, developed under the responsibility of the Max Planck Institute for Extraterrestrial Physics (MPE).
Veronika Stieglitz, Peter Friedrich, Susanne Friedrich, Konrad Dennerl, Michael Freyberg   +4 more
wiley   +1 more source

Bioeconomy, sustainability, and digital technologies in Haematococcus lacustris biomass and astaxanthin production: advances and outlook

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Astaxanthin is a carotenoid with strong antioxidant properties, used in research on cancer treatment, ocular injuries, and neurological disorders. When produced by the microalgae Haematococcus lacustris, its antioxidant potential is even higher than that of the synthetic molecule, making it particularly attractive for pharmaceutical and ...
Renata Kühl Rocha, Lucas Nascimento Dario, Ana Caroline de Souza Barnabé, Paulo Sérgio de Arruda Ignácio, Reinaldo Gaspar Bastos, Augusto Ducati Luchessi   +5 more
wiley   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

Circular Economy durch moderne Chemie – aktuelle Forschung zu Nachhaltigkeit experimentell im Schülerlabor erfahren

CHEMKON, EarlyView.
Die Circular Economy gilt als zentrales Leitbild für eine nachhaltige Ressourcennutzung und sollte daher stärker in der naturwissenschaftlichen Bildung verankert werden. Der Artikel stellt ein Schülerlaborprogramm im TüChemLab vor, das Schülerinnen und Schülern den Beitrag moderner Chemie zu einer Circular Economy anhand aktueller Forschung vermittelt.
Alexander Fritz, Stefan Schwarzer
wiley   +1 more source

A New Calibration Method for Commercial RGB-D Sensors [PDF]

Sensors, 2017
Commercial RGB-D sensors such as Kinect and Structure Sensors have been widely used in the game industry, where geometric fidelity is not of utmost importance. For applications in which high quality 3D is required, i.e., 3D building models of centimeter‑level accuracy, accurate and reliable calibrations of these sensors are required.
Wu Chen, Walid Darwish
exaly   +4 more sources

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Comparison of RGB-D sensors for 3D reconstruction

2020 22nd Symposium on Virtual and Augmented Reality (SVR), 2020
The use of low-cost RGB-D sensors became popular with the release of Microsoft Kinect V1, in 2010. From that time on, different companies such as ASUS, Orbbec, and Intel have developed their solutions for capturing 3D data. This work proposes an analysis of how well 10 RGB-D sensors perform while applied to a 3D reconstruction task.
José Gomes da Silva Neto, Pedro Jorge Lima da Silva, Filipe Figueredo, João Marcelo Xavier Natário Teixeira, Veronica Teichrieb   +4 more
openaire   +1 more source

Gesture recognition for moving RGB-D sensor

IEEE ISR 2013, 2013
Many studies have been conducted to achieve natural interaction between robots and humans. Except for a few works, however, most gesture recognition algorithms are designed with an assumption that the sensor does not move. To resolve this problem, we propose an algorithm that can robustly recognize gestures while the robot is moving.
Hanguen Kim, Soon-Hyuk Hong, Soo-Hyung Kim, Pillip Youn, Seonjin Ha, Hyun Myung   +5 more
openaire   +2 more sources