Results 41 to 50 of about 2,720,483 (215)
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
Near-Capacity Iteratively Decoded Space-Time Block Coding
Iteratively decoded near-capacity Space-Time Block Coding (STBC) schemes are designed. Recursive unity-rate codes and IRregular Convolutional Codes (IRCCs) are employed for assisting the conventional non-recursive STBC schemes in achieving decoding ...
Das, S. +3 more
core +1 more source
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang +9 more
wiley +1 more source
Protograph EXIT Analysis over Block Fading Channels with Application to Relays [PDF]
An accurate extrinsic information transfer (EXIT) analysis is developed for protograph low-density parity-check (LDPC) codes over the block fading channel (BFC). The analysis is thus exploited for analyzing the behavior of distributed protograph LDPC
Pulini, Paola +5 more
core +1 more source
Irregular Precoder-Aided Differential Linear Dispersion Codes
—In this treatise, we propose a novel family of serial concatenated IrRegular Convolutional Coded (IRCC) IrRegular Precoded Differential Linear Dispersion Codes (IR-PDLDC).
Nan Wu, Wu, N, Hanzo, L, Lajos Hanzo
core +2 more sources
NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou +6 more
wiley +1 more source
Near-capacity irregular variable length coding and irregular unity rate coding [PDF]
In this contribution we introduce an EXtrinsic Information Transfer (EXIT) chart matching technique for the design of two serially concatenated irregular codecs, each constituted by a variety of component codes.
Hanzo, L., Maunder, R. G.
core +1 more source
Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka +3 more
wiley +1 more source
Three-stage turbo MBER Multiuser beamforming receiver using irregular convolutional codes
Based on extrinsic information transfer (EXIT) charts, the convergence behavior of a three-stage serially concatenated multiuser beamforming receiver is presented.
Chen, Sheng +4 more
core +1 more source
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu +7 more
wiley +1 more source

