Multiplierless Digital Learning Algorithm for Cellular Neural Networks.

• Authors : Perfetti, Renzo; Constantini, Giovanni

Subjects: *ARTIFICIAL neural networks; *ALGORITHMS; *MATHEMATICAL models of learning

• Source: IEEE Transactions on Circuits & Systems Part I: Fundamental Theory & Applications. May2001, Vol. 48 Issue 5, p630. 6p. 2 Charts, 24 Graphs.

• Abstract: Presents a study which proposed a multiplierless digital learning algorithm for space-varying neural networks used to implement ...

Record details

A 50-neuron CMOS analog chip with on-chiop digital learning: Design, development, and experiments.

• Authors : Salam, Fathi; Yiwen Wang

Subjects: *COMPLEMENTARY metal oxide semiconductors; *ARTIFICIAL neural networks; *COMPUTER algorithms

• Source: Computers & Electrical Engineering. Sep99, Vol. 25 Issue 5, p357. 22p. 22 Diagrams.

• Abstract: Describes the modeling, implementation, and application of a 50-neuron complementary metal oxide semiconductor analog chip with digital on-chip ...

Record details

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture.

• Authors : Aamir, Syed Ahmed; Stradmann, Yannik; Muller, Paul

Subjects: *NEUROMORPHICS; *ARTIFICIAL neural networks; *COMPUTATIONAL mathematics

• Source: IEEE Transactions on Circuits & Systems. Part I: Regular Papers. Dec2018, Vol. 65 Issue 12, p4299-4312. 14p.

• Abstract: We present an array of leaky integrate-and-fire (LIF) neuron circuits designed for the second-generation BrainScaleS mixed-signal 65-nm CMOS neuromorphic hardware. The neuronal array is embedded ... Copyright of IEEE Transactions on Circuits & Systems. Part I: Regular Papers is the property of IEEE and its content may not be copied or ...

Record details

Predicting sensory evaluation of spinach freshness using machine learning model and digital images.

• Authors : Koyama, Kento¹ (AUTHOR) ; Tanaka, Marin¹ (AUTHOR); Cho, Byeong-Hyo¹ (AUTHOR)

Subjects: *SPINACH; *DIGITAL images; *MACHINE learning

• Source: PLoS ONE. 3/19/2021, Vol. 16 Issue 3, p1-16. 16p.

• Abstract: The visual perception of freshness is an important factor considered by consumers in the purchase of fruits and vegetables. However, panel testing when evaluating food ... Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites ...

Record details

Cloud-Based Fusion of Residual Exploitation-Based Convolutional Neural Network Models for Image Tampering Detection in Bioinformatics.

• Authors : Doegar, Amit¹ (AUTHOR); Hiriyannaiah, Srinidhi² (AUTHOR); Siddesh, G. M.³ (AUTHOR)

Subjects: *DIGITAL image processing; *DEEP learning; *COMPUTER software

• Source: BioMed Research International. 4/12/2021, p1-12. 12p.

• Abstract: Cloud computing has evolved in various application areas such as medical imaging and bioinformatics. It raises the issues of privacy and tampering in the images ... Copyright of BioMed Research International is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or ...

Record details

Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment.

• Authors : Liu, Rui^1,2 (AUTHOR); Jia, Yuanyuan¹ (AUTHOR); He, Xiangqian¹ (AUTHOR)

Subjects: *HAND radiography; *DIGITAL image processing; *MACHINE learning

• Source: International Journal of Biomedical Imaging. 10/27/2020, p1-12. 12p.

• Abstract: In the study of pediatric automatic bone age assessment (BAA) in clinical practice, the extraction of the object area in hand radiographs is an important ... Copyright of International Journal of Biomedical Imaging is the property of Hindawi Limited and its content may not be copied or emailed to multiple ...

Record details

Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.

• Authors : Ghadimi, Sona¹; Auger, Daniel A.¹; Feng, Xue¹

Subjects: *CARDIOVASCULAR disease diagnosis; *DEEP learning; *DIGITAL image processing

• Source: Journal of Cardiovascular Magnetic Resonance (BioMed Central). 3/11/2021, Vol. 23 Issue 1, p1-13. 13p.

• Abstract: Background: Cardiovascular magnetic resonance (CMR) cine displacement encoding with stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement into the signal phase, facilitating high ... Copyright of Journal of Cardiovascular Magnetic Resonance (BioMed Central) is the property of BioMed Central and its content may not be copied or emailed ...

Record details

Selecting appropriate machine learning methods for digital soil mapping.

• Authors : Khaledian, Yones¹ (AUTHOR); Miller, Bradley A.¹ (AUTHOR)

Subjects: *DIGITAL soil mapping; *MACHINE learning; *BIG data

• Source: Applied Mathematical Modelling. May2020, Vol. 81, p401-418. 18p.

• Abstract: • Selecting the appropriate machine learning method depends on the digital soil mappers' purpose. • Artificial neural network is ... Copyright of Applied Mathematical Modelling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites ...

Record details

Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes.

• Authors : Ibrahim, Mesfin Seid^1,2 (AUTHOR) ; Fan, Jiajie^3,4,5 (AUTHOR) ; Yung, Winco K. C.¹ (AUTHOR)

Subjects: *MACHINE learning; *ARTIFICIAL neural networks; *RELIABILITY in engineering

• Source: Laser & Photonics Reviews. Dec2020, Vol. 14 Issue 12, p1-33. 33p.

• Abstract: Light‐emitting diodes (LEDs) are among the key innovations that have revolutionized the lighting industry, due to their versatility in applications, higher reliability, longer lifetime, ... Copyright of Laser & Photonics Reviews is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple ...

Record details

The role of artificial intelligence in colon polyps detection.

• Authors : Rasouli, Pezhman¹; Moghadam, Arash Dooghaie²; Eslami, Pegah²

Subjects: *ARTIFICIAL intelligence; *DIGITAL image processing; *MACHINE learning

• Source: Gastroenterology & Hepatology from Bed to Bench. Summer2020, Vol. 13 Issue 3, p191-199. 9p. 2 Diagrams.

• Abstract: Over the past few decades, artificial intelligence (AI) has evolved dramatically and is believed to have a significant impact on all aspects of technology and ... Copyright of Gastroenterology & Hepatology from Bed to Bench is the property of Gastroenterology & Hepatology from Bed to Bench and its content may not be ...

Record details