Results 11 to 20 of about 18,472 (208)

Developments of Computer Vision and Image Processing: Methodologies and Applications

Future Internet, 2023
The rapid advancement of technology has enabled a vast and ever-growing number of computer applications in real scenarios of our daily life [...]
openaire   +3 more sources

Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster) [PDF]

Frontiers in Built Environment, 2018
The paper presents the core methodology for assessing solar radiation and energy production on building rooftops and vertical facades (still rarely considered) of the inner-city. This integrated tool is based on the use of LiDAR, 2D and 3D cadastral data.
Desthieux, Gilles, Carneiro, Claudio, Camponovo, Reto, Ineichen, Pierre, Morello, Eugenio, Boulmier, Anthony, Abdennadher, Nabil, Dervey, Sébastien, Ellert, Christoph   +8 more
openaire   +3 more sources

Soft Memory Box: A Virtual Shared Memory Framework for Fast Deep Neural Network Training in Distributed High Performance Computing

IEEE Access, 2018
Deep learning is one of the major promising machine learning methodologies. Deep learning is widely used in various application domains, e.g., image recognition, voice recognition, and natural language processing.
Shinyoung Ahn, Joongheon Kim, Eunji Lim, Sungwon Kang   +3 more
doaj   +1 more source

A Comprehensive Survey of Deep Learning Approaches in Image Processing

Sensors
The integration of deep learning (DL) into image processing has driven transformative advancements, enabling capabilities far beyond the reach of traditional methodologies.
Maria Trigka, Elias Dritsas
doaj   +1 more source

On a Software Framework for Automated Pore Identification and Quantification for SEM Images of Metals

Computers
The functional performance of porous metals and alloys is dictated by pore features such as size, connectivity, and morphology. While methods like mercury porosimetry or gas pycnometry provide cumulative information, direct observation via scanning ...
Michael Mulligan, Oliver Fowler, Joshua Voell, Mark Atwater, Howie Fang   +4 more
doaj   +1 more source

A Partitioning Methodology That Optimises the Area on Reconfigurable Real-Time Embedded Systems

EURASIP Journal on Advances in Signal Processing, 2003
We provide a methodology used for the temporal partitioning of the data-path part of an algorithm for a reconfigurable embedded system. Temporal partitioning of applications for reconfigurable computing systems is a very active research field and some ...
Tanougast Camel, Berviller Yves, Weber Serge, Brunet Philippe   +3 more
doaj   +1 more source

Edge Computing for Smart-City Human Habitat: A Pandemic-Resilient, AI-Powered Framework

Journal of Sensor and Actuator Networks
The COVID-19 pandemic has highlighted the need for a robust medical infrastructure and crisis management strategy as part of smart-city applications, with technology playing a crucial role. The Internet of Things (IoT) has emerged as a promising solution,
Atlanta Choudhury, Kandarpa Kumar Sarma, Debashis Dev Misra, Koushik Guha, Jacopo Iannacci   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Turning Features Detection from Aerial Images: Model Development and Application on Florida’s Public Roadways

Smart Cities
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather roadway geometry data, leading to significant savings in both time and money.
Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven, Thobias Sando, Ren Moses, Maxim A. Dulebenets   +6 more
doaj   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source