Results 51 to 60 of about 3,041 (214)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

RELATIONSHIP BETWEEN GEOGRAPH Y AND ISLA MIC THOUGHT

Interações, 2013
Neste artigo o autor utiliza a geografia como parâmetro por meio do qual ele estuda a vida cultural, religiosa e social dos muçulmanos. O deserto da Arábia, o berço do islamismo, tornou-se o fator determinante para a cultura dos primeiros muçulmanos ...
Pushpa Anbu Svd
doaj  

Robust image hiding algorithm for secure multimodal biometrics

网络与信息安全学报, 2016
In order to solve the bio-template secure transmission in multimode biometric authentication,a novel al-gorithm was presented that hiding face watermarks in fingerprint carrier image to improve security and recognition accuracy.RST invariant embedding ...
Yu-qiang CAO, Wei-guo GONG, Sen BAI
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Personalized product recommendation system for e-commerce platforms [PDF]

ITM Web of Conferences
Due to rapid growth in e-commerce, the interest for customized product recommendation systems has grown a lot with high demands for effective models. The attempt is made to explore the development and evaluation of a personalized product recommendation ...
Sameena Shaik, Javali Guntupalli, Srilakshmi Nelavelli, Jhansi Mandadapu, Sk Sajida Sultana   +4 more
doaj   +1 more source

A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

Journal of Intelligent Systems, 2020
In this paper a new technique of dual image watermarking is proposed for protection of ownership rights which utilizes salient properties of homomorphic transform (HT), discrete wavelet transform (DWT), singular value decomposition (SVD) and Arnold ...
Khare Priyank, Srivastava Vinay Kumar
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Real‐Time and Non‐Invasive Detection of Respiratory Viral Infections Using an Intelligent Odor Monitoring System (IOMS)

Advanced Science, EarlyView.
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen, Weifeng Yuan, Long Li, Yucheng Zheng, Kenan Liu, Hegeng Li, Hua‐Yao Li, Yongliang Zhao, Binzhou Ying, Lanpeng Guo, Wenjian Zhang, Shu‐Ming Kuo, Zirui Zhang, Yufan Deng, Bohan Yin, Zhaocheng Luo, Ke Xu, Huan Liu   +17 more
wiley   +1 more source

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

Proceedings of the AAAI Conference on Artificial Intelligence
Neural operators have emerged as a promising paradigm for learning solution operators of partial differential equations (PDEs) directly from data. Existing methods, such as those based on Fourier or graph techniques, make strong assumptions about the structure of the kernel integral operator, assumptions which may limit expressivity.
Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman   +4 more
openaire   +2 more sources

Digital Image Watermarking Techniques: A Review

Information, 2020
Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images ...
Mahbuba Begum, Mohammad Shorif Uddin
doaj   +1 more source