Results 91 to 100 of about 959,923 (296)

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

Advanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li, Pengjie Li, Kaiting Zhang, Yongqi Guo, Peng Chen, Bi‐Feng Liu, Yiwei Li   +6 more
wiley   +1 more source

Printing‐Assisted Integration of Thermal, Fluidic and Electrical Components in Implants for Focal Brain Cooling

Advanced Science, EarlyView.
Extrusion‐based 3D printing of silicones and discrete electronic components are combined to create cortical implants for rodents that integrate thermal neuromodulation and electrical recording. Linked to an autonomous auxiliary driver unit, the system enables rapid, stable and localized hypothermia alongside ECoG recording.
Spencer Ryan Moore, Naomi King, Aruã Clayton Da Silva, Clare Howarth, Jason Berwick, Thomas E. Paterson, Ivan R. Minev   +6 more
wiley   +1 more source

An offline signature verification technique using pixels intensity levels [PDF]

, 2016
Offline signature recognition has great importance in our day to day activities. Researchers are trying to use them as biometric identification in various areas like banks, security systems and for other identification purposes. Fingerprints, iris, thumb
Khan, M.N.A., Subhan, Fazli, Shah, Asadullah, Fayaz, Muhammad, Shah, Abdul Salam   +4 more
core   +1 more source

Closing the Loop: High‐Precision 3D Photofabrication in Living Tissues

Advanced Science, EarlyView.
Writing 3D microstructures inside living tissue demands more than laser access; It demands information. Hierarchical sensing captures thermal and mechanical states across pulse‐train, voxel, and structure timescales, feeding a controller that steers the laser in real time.
Amirbahador Zeynali, Mangirdas Malinauskas, Giuseppe Chirico   +2 more
wiley   +1 more source

Convolutional Neural Network Based Offline Signature Verification Application

, 2018
One of the most important biometric authentication technique is signature. Nowadays, there are two types of signatures, offline (static) and online (dynamic).
Yapici, Muhammed Mutlu, TOPALOĞLU, NURETTİN, TEKEREK, ADEM   +2 more
core   +1 more source

Multi-scale CNN-CrossViT network for offline handwritten signature recognition and verification

Complex & Intelligent Systems
Developing technologies that can accurately identify and highlight subtle differences in signatures is crucial for improving the performance of signature recognition and verification.
Wanying Li, Mahpirat Muhammat, Xuebin Xu, Alimjan Aysa, Kurban Ubul   +4 more
doaj   +1 more source

Handwritten Signature Generation Using Denoising Diffusion Probabilistic Models with Auxiliary Classification Processes

Applied Sciences
Automatic signature verification has been widely studied for authentication purposes in real life, but limited data availability still poses a significant challenge.
Dong-Jin Hong, Won-Du Chang, Eui-Young Cha   +2 more
doaj   +1 more source

Brain Network Dynamics of Local and Global Predictive Processing in Aging

Advanced Science, EarlyView.
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen, Gemma Fernández‐Rubio, David R. Quiroga‐Martinez, Mattia Rosso, Mathias Klarlund, Kit Melissa Larsen, Hartwig Roman Siebner, Morten L. Kringelbach, Peter Vuust, Leonardo Bonetti   +9 more
wiley   +1 more source

Vanilla Convolutional Neural Network is all you Need for Online and Offline Signature Verification

International Journal of Applied Mathematics and Computer Science
Recent advances in deep learning have been utilized successively to improve the performance of signature verification (SV) systems. Deep models proposed in the literature are complicated and need to learn many parameters to give acceptable error rates ...
Yilmaz Mustafa Berkay, Öztürk Kağan
doaj   +1 more source

Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation

Advanced Science, EarlyView.
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu, Xin Yuan, Zilong He, Hong Jin, Jiayi Tian, Cong Chen, Yuanjing Liu, Xiang Zhang, Shidan Wen, Emilio Kropff, Chenglin Miao   +10 more
wiley   +1 more source