Results 41 to 50 of about 1,593,061 (277)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez +16 more
wiley +1 more source
A turbo coded cooperative orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO) antennas scheme is considered, and its performance over a fast Rayleigh fading channel is evaluated.
Rahim Umar, Fengfan Yang, Shoaib Mughal
doaj +1 more source
A Universal Protein Ladder for Standardization of Diverse FRET Assays
Translating FRET measurements from in vitro to intracellular environments requires universal benchmarks. We present a modular protein ladder using TPR motifs to harmonize data across diverse platforms. This predictable calibration curve bridges single molecule FRET measurements, with cell based measurements including FLIM‐FRET.
Evelyn R. Smith +5 more
wiley +1 more source
In this treatise we characterise the achievable performance of a proprietary video transmission system, which employs a Constant Bit Rate (CBR) video codec that is concatenated with one of three error correction codecs, namely a Reversible Variable ...
Yeap, B. L. +3 more
core +1 more source
PERFORMANCE EVALUATION OF TURBO CODE ENDCODING AND DECODING
Channel coding is very important for secure communication. The most widely used communication coding is turbo coding technique, which is very secure technique. We deal in this paper with turbo code which is new class of convolutional codes.
Yahya Jasim Harbi
doaj
Stochastic Decoding of Turbo Codes [PDF]
Stochastic computation is a technique in which operations on probabilities are performed on random bit streams. Stochastic decoding of forward error-correction (FEC) codes is inspired by this technique. This paper extends the application of the stochastic decoding approach to the families of convolutional codes and turbo codes.
Dong, Q. T. +3 more
openaire +2 more sources
Liberation of ferulic acid by gut microbial feruloyl esterase mediates cognitive enhancement of germinated quinoa (GQF) on obese mice. Ferulic acid enriched in GQF is released by gut microbes Roseburia hominis and R. intestinalis and subsequently mediates the neuroprotective effects of GQF on obesity‐induced cognitive decline by activating hippocampal ...
Yongli Lan +11 more
wiley +1 more source
Turbo Coding, Turbo Equalisation and Space-Time Coding
Against the backdrop of the emerging 3G wireless personal communications standards and broadband access network standard proposals, this volume covers a range of coding and transmission aspects for transmission over fading wireless channels.
Yeap, B.L., Liew, T.H., Hanzo, L.
core +1 more source

