Results 261 to 270 of about 324,009 (309)

Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance

Advanced Intelligent Systems, EarlyView.
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose, Luca Scimeca, Alessandro Albini, Perla Maiolino   +3 more
wiley   +1 more source

The potential role of machine learning and deep learning in differential diagnosis of Alzheimer's disease and FTD using imaging biomarkers: A review.

Neuroradiol J
Mirabian S, Mohammadian F, Ganji Z, Zare H, Hasanpour Khalesi E.   +4 more
europepmc   +1 more source

A modernized approach to sentiment analysis of product reviews using BiGRU and RNN based LSTM deep learning models. [PDF]

Sci Rep
Atlas LG, Arockiam D, Muthusamy A, Balusamy B, Selvarajan S, Al-Shehari T, Alsadhan NA.   +6 more
europepmc   +1 more source

In Situ XOR Encryption for Lightweight Security Using Nanoelectromechanical Physically Unclonable Functions

Advanced Intelligent Systems, EarlyView.
A novel in situ XOR encryption/decryption method using a nanoelectromechanical physically unclonable function (NEM‐PUF) is introduced, enhancing security in data transfers between servers/clouds and edge devices. Integrated with the CMOS BEOL process, NEM‐PUFs utilize random stiction for entropy, enabling efficient bitwise XOR operations. This approach
Changha Kim, Jin Wook Lee, Geun Tae Park, Myeong Su Shin, Seung Hun Baek, Jae Seung Woo, Woo Young Choi   +6 more
wiley   +1 more source

Enhanced diagnosis of planetary gear train faults based on bispectrum and attention mechanism deep convolutional generative adversarial networks. [PDF]

Sci Rep
Yang D, Zhang Y, Li R, Long H, Huang C.
europepmc   +1 more source

UltRAP‐Net: Reverse Approximation of Tissue Properties in Ultrasound Imaging

Advanced Intelligent Systems, EarlyView.
This study proposes a reverse approximation neural network (UltRAP‐Net) to extract underlying physics‐aware properties using multiple images with distinct appearances obtained at the same location of tissues. Through this robust approximation, the study advances the use of ultrasound images by opening potentials for various applications such as physics‐
Yingqi Li, Ka‐Wai Kwok, Magdalena Wysocki, Nassir Navab, Zhongliang Jiang   +4 more
wiley   +1 more source

Liver Tumor Prediction using Attention-Guided Convolutional Neural Networks and Genomic Feature Analysis. [PDF]

MethodsX
Edwin Raja S, Sutha J, Elamparithi P, Jaya Deepthi K, Lalitha SD.   +4 more
europepmc   +1 more source

High‐Throughput Nanorheology of Living Cells Powered by Supervised Machine Learning

Advanced Intelligent Systems, EarlyView.
Herein, atomic force microscopy (AFM) and machine learning are combined to determine the viscoelastic properties of living cells at the nanoscale. A universal regressor that predicts the viscoelastic properties of mammalian cells from AFM experiments is developed. The regressor predicts the viscoelastic parameters of two cell lines.
Jaime R. Tejedor, Ricardo Garcia
wiley   +1 more source

Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection. [PDF]

Sci Rep
Onyema EM, Gunapriya B, Kavin BP, Uddin M, Kumar PM, Mazhar T, Saeed MM.   +6 more
europepmc   +1 more source

MFI-Net: multi-level feature invertible network image concealment technique. [PDF]

PeerJ Comput Sci
Cheng D, Zhu M, Yang B, Gao X, Jing W, Mao Y, Zhao F.   +6 more
europepmc   +1 more source