Results 151 to 160 of about 320,607 (275)
Reversible data hiding in encrypted images using LWE-based secret sharing. [PDF]
Sci RepSaeidi Z, Mirzakuchaki S.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Content-Adaptive Reversible Data Hiding with Multi-Stage Prediction Schemes. [PDF]
Sensors (Basel)Huang HC, Chang FC, Li HY.
europepmc +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Deep steganographic approach for reliable data hiding using convolutional neural networks and adaptive loss optimization. [PDF]
Sci RepP M, T GK.
europepmc +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Improved CNN Prediction Based Reversible Data Hiding for Images. [PDF]
Entropy (Basel)Qiu Y, Peng W, Lin X.
europepmc +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
Advanced Science, EarlyView.The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Reversible data hiding and authentication scheme for encrypted image based on prediction error compression. [PDF]
Sci RepRen F +4 more
europepmc +1 more source