Results 141 to 150 of about 248,320 (248)

Clinician-driven automated data preprocessing in nuclear medicine AI environments. [PDF]

Eur J Nucl Med Mol Imaging
Krajnc D, Spielvogel CP, Ecsedi B, Ritter Z, Alizadeh H, Hacker M, Papp L.   +6 more
europepmc   +1 more source

Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma. [PDF]

Cancers (Basel), 2022
Kronberg RM, Haeberle L, Pfaus M, Xu HC, Krings KS, Schlensog M, Rau T, Pandyra AA, Lang KS, Esposito I, Lang PA.   +10 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Leveraging Centralized Health System Data Management and Large Language Model-Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption. [PDF]

JCO Clin Cancer Inform
Kumsa FA, Brett CL, Hashtarkhani S, Rashid R, Chinthala L, Zink JA, Davis RL, Shaban-Nejad A, Schwartz DL.   +8 more
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Enhancing U-Net Segmentation Accuracy Through Comprehensive Data Preprocessing. [PDF]

J Imaging
Sarsembayeva T, Mansurova M, Abdildayeva A, Serebryakov S.   +3 more
europepmc   +1 more source

Noise regularization removes correlation artifacts in single-cell RNA-seq data preprocessing. [PDF]

Patterns (N Y), 2021
Zhang R, Atwal GS, Lim WK.
europepmc   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis. [PDF]

BMC Bioinformatics
Ono M.
europepmc   +1 more source

Effects of data preprocessing on results of the epidemiological analysis of coronary heart disease and behaviour-related risk factors. [PDF]

Ann Med, 2021
Voutilainen A, Brester C, Kolehmainen M, Tuomainen TP.   +3 more
europepmc   +1 more source