Results 91 to 100 of about 2,720,483 (215)

An Iterative Detection Aided Unequal Error Protection Wavelet Video Scheme Using Irregular Convolutional Codes

open access: yes, 2006
A wavelet-based videophone scheme proposed, where the video bits are Unequal Error Protection (UEP) using Irregular Convolutional Codes (IRCCs). The proposed system uses Adaptive Arithmetic Coding (AAC) for encoding the motion vectors and individual ...
Pham, A.Q.   +3 more
core   +1 more source

Oppositely Charged Homopolypeptides Form Ordered Helix Assemblies With Hierarchical Structure

open access: yesSmall, EarlyView.
Hexagaonal and square assembly of polyarginine alfa‐helices formed in highly ordered polyarginine/polyaspartic acid complexes. The helices exhibit additional periodic staggering along their helical axis. ABSTRACT Oppositely charged polyelectrolytes are known to form polyelectrolyte complexes.
Ekaterina Buvalaia   +10 more
wiley   +1 more source

Single and joint iterative decoding for higher order modulation schemes [PDF]

open access: yes, 2008
The research project described in this thesis concentrates on the study, and application of specific channel coding techniques, in particular, low-density parity-check (LDPC) codes, iterative decoding on Tanner graphs, and their application on joint ...
Vital, Juan Carlos Serrato
core  

Deciphering Molecular Charge Anisotropy: The Case of Antibody Solutions

open access: yesSmall, EarlyView.
Molecular charge anisotropy emerges as a key determinant of antibody solution behavior. A multiscale framework combining electrostatic mapping, coarse‐grained simulations, and machine‐learning‐assisted optimization identifies charge patterns that reproduce experimental structure factors and predict collective properties across concentration, revealing ...
Fabrizio Camerin   +4 more
wiley   +1 more source

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

open access: yesSmart 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   +10 more
wiley   +1 more source

AI‐enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug‐induced liver injury

open access: yesSmart Molecules, EarlyView.
An AI‐driven framework integrating disease‐network analysis, direction‐aware molecular screening, and carrier‐free co‐assembly engineering enables nanomedicine design. The dual‐constraint deep learning model predicts API–target affinity and regulatory direction to prioritize complementary APIs.
Kai Xiao   +14 more
wiley   +1 more source

Reverse engineering strut‐and‐tie models for assessing reinforced concrete structures

open access: yesStructural Concrete, EarlyView.
Abstract Strut‐and‐tie models enable the design of reinforced concrete structures with static or geometrical discontinuities, providing interpretability and control over the load path. These models are valuable for designing discontinuity regions of new structures and for validating nonlinear finite‐element analysis results. However, developing a strut‐
Karin Yu, Walter Kaufmann
wiley   +1 more source

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

open access: yesIEEJ 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

starU‐Net: An enhanced U‐Net architecture with star operation and multi‐view fusion for improved vessel segmentation

open access: yesVIEW, EarlyView.
Low‐contrast capillaries are often missed or fragmented by segmentation models, so we developed a shallow four‐level starU‐Net that combines star operation‐based feature extraction with dynamic snake convolution‐based multi‐view fusion for improved thin vessel continuity.
Mengwei Bai   +3 more
wiley   +1 more source

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