Results 141 to 150 of about 484,401 (253)

S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Plant Biotechnology Journal, EarlyView.
ABSTRACT Small signalling peptides (SSPs) serve as crucial mediators of cell‐to‐cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size ...
Kelly L. Vomo‐Donfack, Mariem Abaach, Ana M. Luna, Grégory Ginot, Verónica G. Doblas, Ian Morilla   +5 more
wiley   +1 more source

ASL 4D MRA Intracranial Vessel Segmentation With Deep Learning U‐Nets

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2384-2396, April 2026.
ABSTRACT Purpose To propose a spatio‐temporal U‐Net based network (4DST) that exploits both spatial and dynamic information while avoiding memory‐intensive 4D convolutional layers for ASL‐based non‐contrast enhanced 4‐dimensional MR angiography (4D MRA) vessel segmentation.
Sang Hun Chung, Zihan Wang, Tianrui Zhao, Zhitao Li, Chase S. Krumpelman, Sarah J. Moum, Sameer A. Ansari, Lirong Yan   +7 more
wiley   +1 more source

Stock Portfolio Management Based on AI Technology

Journal of Forecasting, Volume 45, Issue 2, Page 458-469, March 2026.
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso, Joaquín Ordieres‐Meré   +1 more
wiley   +1 more source

BiGraph‐DTA: Predicting drug–target interactions of hepatoprotective agents with graph convolutional networks

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Predicting drug–target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph‐DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long ...
Arief Sartono, Bambang Riyanto Trilaksono, Sophi Damayanti, Anto Satriyo Nugroho, Firdayani Firdayani   +4 more
wiley   +1 more source

Sistem OCR untuk Alat Pembaca Tulisan Tangan Bahasa Indonesia

JTRM
Penelitian ini mengembangkan sistem pengenalan tulisan tangan menggunakan OCR berbasis arsitektur pra-pelatihan DB_Resnet dan CRNN_VGG16 yang diintegrasikan dengan perangkat keras seperti Arduino Uno, motor stepper, sensor infrared, kamera, dan kerangka
Susetyo Bagas Bhaskoro, Rizqi Aji Pratama, Shafa Aulia Hazim Darmawan   +2 more
doaj   +1 more source

Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems

Software: Practice and Experience, Volume 56, Issue 3, Page 239-259, March 2026.
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar, Tommaso Zoppi, Andrea Ceccarelli, Leonardo Montecchi, Andrea Bondavalli   +4 more
wiley   +1 more source

Artificial Intelligence‐Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices

Annals of Noninvasive Electrocardiology, Volume 31, Issue 2, March 2026.
We developed CNN models using sinus rhythm ECG data from two institutions using distinct ECG systems. A fine‐tuned model trained on homogeneous datasets from cardiology departments consistently achieved high performance, whereas a model trained on heterogeneous datasets demonstrated lower performance.
Shinya Suzuki, Mari Amino, Nobumoto Moriai, Yoshifumi Sumioka, Akira Hyodo, Keiichi Satoh, Tsuneo Takayanagi, Takuya Umemoto, Yota Sekiguchi, Naomi Hirota, Atsuhiko Yagishita, Yuji Ikari, Taira Nakayama, Yoichi Ohnuki, Eiichiro Nagata, Jun Motogi, Takeshi Yamashita, Koichiro Yoshioka   +17 more
wiley   +1 more source

Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

Australian &New Zealand Journal of Statistics, Volume 68, Issue 1, March 2026.
ABSTRACT Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can reduce subjectivity but requires even more human effort.
Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann   +4 more
wiley   +1 more source

First Aircraft‐Based VOC Measurements Using Thermal Infrared Remote Sensing: Mapping Fire Plumes With the Scanning High‐Resolution Interferometer Sounder (S‐HIS)

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.
Abstract Wildfires emit volatile organic compounds (VOCs) that contribute to ozone and aerosol pollution. Quantification is challenged by the diversity of emitted species and by their complex dependence on fire characteristics, with scarce field observations available for model evaluation.
Chengyuan Hu, Dylan B. Millet, Kelley C. Wells, Jared F. Brewer, Julieta F. Juncosa Calahorrano, Vivienne H. Payne, Joe K. Taylor, David C. Tobin   +7 more
wiley   +1 more source

A Neural Network Model of Equatorial Electric Field Structures in the Inner Magnetosphere

Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Enabled by state‐of‐the‐art electric field measurements from the Van Allen Probes and careful calibration of the high‐quality data, we developed the first machine‐learning based inner‐magnetosphere electric field model, which covers L = 2.5–6.0 within 20° ${}^{\circ}$ around the magnetic equator.
M. Hua, S. Tian, J. Bortnik, D. Ma, Y. Wang, L. R. Lyons, J. R. Wygant   +6 more
wiley   +1 more source