Results 111 to 120 of about 4,047,749 (292)

An Extensive Study of Convolutional Neural Networks: Applications in Computer Vision for Improved Robotics Perceptions

Sensors
Convolutional neural networks (CNNs), a type of artificial neural network (ANN) in the deep learning (DL) domain, have gained popularity in several computer vision applications and are attracting research in other fields, including robotic perception ...
Ravi Raj, Andrzej Kos
doaj   +1 more source

Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images. [PDF]

Sci Rep, 2022
Voon W, Hum YC, Tee YK, Yap WS, Salim MIM, Tan TS, Mokayed H, Lai KW.   +7 more
europepmc   +1 more source

Bankruptcy Analysis Using Images and Convolutional Neural Networks (CNN)

The marketing departments of financial institutions strive to craft products and services that cater to the diverse needs of businesses of all sizes. However, it is evident upon analysis that larger corporations often receive a more substantial portion of available funds. This disparity arises from the relative ease of assessing the risk of default and
Luiz Wanderley Tavares, José Afonso Mazzon, Francisco Carlos Paletta, Fábio Meletti de Oliveira Barros   +3 more
openaire   +3 more sources

Application of Convolutional Neural Networks (CNNs) in Agriculture

DMPedia Lecture Notes in Computer Science & Engineering
AI and machine learning applications are on the rise. Especially, deep learning is used very frequently in research these days. Convolutional Neural Networks (CNNs) are one such popularly used deep learning approach in the agricultural domain. In smart agriculture, CNNs find its use in identification, classification and mapping problems. It is used for
Akanksha Joshi, Rajeev Singh
openaire   +1 more source

ANALYSING MARINE ANIMALS CHARACTERISTICS USING CONVOLUTIONAL NEURAL NETWORKS

, 2019
The thesis explores the efficacy of convolutional neural network(CNNs) to categorize lobster images for improving lobster grading and traceability. Traceability ensures that lobsters are traceable to a sustainable source.
Sachdeva, Parmeet Singh
core  

Evolutionary Design of Convolutional Neural Networks

, 2021
The aim of this Master's thesis is to describe basic technics of evolutionary computing, convolutional neural networks (CNN), and automated design of neural networks using neuroevolution ( NAS - Neural Architecture Search ).
Pristaš, Ján
core  

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts. [PDF]

Materials (Basel), 2021
Wen H, Huang C, Guo S.
europepmc   +1 more source

Sensitivity (true positive rate) and specificity (true negative rate) for selected convolutional neural networks (CNNs) and datasets as compared against the crowd consensus.

, 2018
Sensitivity (true positive rate) and specificity (true negative rate) for selected convolutional neural networks (CNNs) and datasets as compared against the crowd consensus.
Koen Hufkens (830074), Andrew D. Richardson (387103), Margaret Kosmala (263059)   +2 more
core   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source