Results 181 to 190 of about 54,555 (311)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Corn or maize leaf disease classification based on CNN and vision mamba model. [PDF]

Sci Rep
Xu H.
europepmc   +1 more source

Improving SC-FDMA Performance by Time Domain Equalization for UTRA LTE Uplink

, 2010
Single carrier frequency division multiple access (SC-FDMA) is used in the uplink of the next generation mobile communications standard Long Term Evolution (LTE).
Teich, Werner, Lindner, Jürgen, Peiker-Feil, Eva, Schneckenburger, Nicolas   +3 more
core  

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Zero-shot multimodal large language models underperform a domain-trained CNN baseline in pediatric wrist fracture detection. [PDF]

Sci Rep
Haupt M, Weiß D, Bellersen T, Maurer MH.   +3 more
europepmc   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

Development of a spontaneous disease diagnosis tool by executing an enhanced convolutional neural network model for citrus fruits and leaves. [PDF]

Sci Rep
Arunapriya R, Valli SP.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

HybridViT-CAB: a vision transformer and convolutional attention network for precision weed detection in agricultural systems. [PDF]

Sci Rep
Yenna GR, Kumari NV, Chouhan AS, Umar S, Macha SR.   +4 more
europepmc   +1 more source

Iteratively detected multi-carrier interleave division multiple access

, 2007
In this paper a novel transceiver is proposed, which amalgamates the benefits of multi-carrier transmissions with those of interleave division multiple access (IDMA), leading to the concept of multi-carrier IDMA (MC-IDMA), which invokes spreading in both
Zhang, R., Hanzo, L.
core