Results 131 to 140 of about 615,528 (247)

Defocus Blur-Invariant Scale-Space Feature Extractions

, 2014
We propose modifications to scale-space feature extraction techniques (Scale-Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF)) that make the feature detection and description invariant to defocus blur.
Saad, Elhusain Salem
core   +1 more source

Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple Regularizations. [PDF]

Comput Vis Image Underst, 2017
Li L, Wang J, Lu W, Tan S.
europepmc   +1 more source

Smuggling Sovereignty: Trade, Transgression, and State Authority

Economic Anthropology, EarlyView.
ABSTRACT Global supply chains are saturated with transgressions—corruption, smuggling, document forgery, and other practices that blur the line between legality and illegality. States do not merely endure these practices; they actively shape the conditions for them, producing the very illegal systems they then claim to police.
Dejana Kostić
wiley   +1 more source

The intelligence loop and value creation in the age of AI agents

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Artificial intelligence (AI) is moving from generating outputs to executing work. An agent that executes work autonomously produces something generative AI does not: operational experience that can raise its future intelligence.
Yong Li, Ming Zeng, Alexis Li
wiley   +1 more source

FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation

SmartBot, EarlyView.
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang, Hanyu Liu, Yunsheng Ma, Jian Shen, Yilin Zheng, Jiayi Wen, Zhigong Song   +6 more
wiley   +1 more source

Imaging Ionic Displacements Across Inclined Ferroelectric Domains by a Reciprocity Approach to 4D‐STEM

Small, EarlyView.
Four‐dimensional STEM comprises a vast portfolio of electron microscopy methods in one data set, conventional plane‐wave illumination TEM being one of them. Here, the principle of reciprocity is employed to produce true structural projections of misoriented ferroelectric domains at atomic resolution. By reciprocal TEM imaging from four‐dimensional STEM
Jean Felix Dushimineza, Max Leo Leidl, Sebastian Sturm, Thibaud Denneulin, Knut Müller‐Caspary   +4 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Depth‐Aware Machine Learning for 3D Reconstruction of Fibrous Porous Electrodes by FIB‐SEM Tomography

Small Methods, EarlyView.
In FIB–SEM tomography of highly porous polymeric electrodes, subsurface fibers visible through open pores are mistaken for in‐plane material, distorting 3D reconstructions. A machine‐learning‐based depth‐aware model trained on everyday photographs, combined with unsupervised clustering, isolates the exposed fiber cross‐sections without labeled data ...
Carlota Bozal‐Ginesta, Claudia Bissattini Alessi, Peng Zeng, Julie Ruellou, Jakub Drnec, Alessandro Senocrate, Corsin Battaglia   +6 more
wiley   +1 more source

Can AI be Easy? Lessons Learned From the EZR.py Toolkit

Software: Practice and Experience, EarlyView.
ABSTRACT Much recent press claims that developers no longer need to read code. We disagree, at least within the domain of tabular software‐engineering (SE) optimization tasks: rows of x$$ x $$ and y$$ y $$ values where the y$$ y $$ values are expensive to obtain.
Tim Menzies, Srinath Srinivasan, Kishan Ganguly   +2 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source