Results 121 to 130 of about 33,807 (240)

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

Engineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil, P. Vishwanath, S. M. Anowarul Haque   +2 more
wiley   +1 more source

Detection of Hidden Volumetric Changes Caused by the Southern Green Stink Bug, Nezara viridula, on Soybean Pods Using Micro‐CT Imaging

Legume Science, Volume 8, Issue 1, March 2026.
ABSTRACT Soybean (Glycine max L.) is an important arable crop playing a major role in human nutrition and animal feed. Piercing‐sucking pests are compromising the safety of soybean cultivation worldwide, mostly by their enzyme‐containing saliva causing deformation, and tissue death within the pierced plant parts.
Szilvia Gibicsár, Tamás Donkó, Ádám Csóka, András Kovács, Gergely Orsi, Sándor Keszthelyi   +5 more
wiley   +1 more source

Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression

Journal of Field Robotics, Volume 43, Issue 2, Page 1130-1151, March 2026.
ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin   +5 more
wiley   +1 more source

Conformational bifurcation drives dual transport regimes in molecular junctions: Unsupervised machine learning insights

Smart Molecules, Volume 4, Issue 1, March 2026.
Conformational bifurcation in n‐alk‐1‐yne molecular junctions drives dual transport regimes, with unsupervised machine learning and XPS revealing distinct planar and skewed conformers influencing conductance and tunneling efficiency. This discovery highlights anchor‐group control as a key design principle for tailoring molecular electronic devices ...
Yuhong Chen, Ioan Bâldea, Elad Koren, Zuoti Xie   +3 more
wiley   +1 more source

A feature restoration for machine learning on anti-corrosion materials

Case Studies in Chemical and Environmental Engineering
Materials informatics often struggles with small datasets. Our study introduces the Gaussian Mixture Model Virtual Sample Generation (GMM-VSG) approach to enhance feature correlation by generating virtual samples.
Supriadi Rustad, Muhamad Akrom, Totok Sutojo, Hermawan Kresno Dipojono   +3 more
doaj   +1 more source

Particle‐Based Detection of Surface Chemistry via Optical Microscopy—Integrating Microfluidics, Light‐Induced Activity of Colloids and Data Science

Small Methods, Volume 10, Issue 6, 24 March 2026.
A particle‐resolved method for porosity and surface area analysis of microparticles is presented, based on single‐particle trajectory tracking via optical video microscopy integrated with microfluidics and LED illumination. Operating with minimal analyte and no drying steps, the approach offers per‐particle analysis using widely available laboratory ...
Fabian Rohne, Daniela Vasquez Muñoz, Isabel Meier, Anne Nitschke, Florian Schmitt, Nino Lomadze, Martin Reifarth, Andreas Taubert, Svetlana Santer, Marek Bekir   +9 more
wiley   +1 more source

A chromosome‐scale genome of Sarracenia purpurea reveals a significant expansion of plant defense and stress response gene families following paleopolyploidization

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Plant carnivory evolved through gene co‐option and whole genome duplications (WGDs) over millions of years in at least 13 independent flowering plant lineages, but its genetic mechanisms remain largely unknown. To elucidate these mechanisms in Sarraceniaceae, we sequenced and assembled the Sarracenia purpurea genome and conducted a comparative
Magdy Alabady, Lin Jiang, Will Rogers, Russell Malmberg   +3 more
wiley   +1 more source

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

Machine Learning‐Ready Data Sets for the Analysis and Nowcasting of Atmospheric Radiation at Aviation Altitudes

Space Weather, Volume 24, Issue 3, March 2026.
Abstract Nowcasting and forecasting of the radiation environment in the Earth's lower atmosphere are critical for the safety of aircraft and spacecraft crews and passengers. Currently, this problem is addressed by employing statistical and physics‐based models that take into account particle transport and precipitation.
V. M. Sadykov, Z. M. Watkins, D. Kempton, W. Jones, S. K. C, G. T. Goodwin, X. He, W. K. Tobiska, I. Kitiashvili, C. Mertens, S. Ranjan, D. G. Deardorff, R. Spaulding   +12 more
wiley   +1 more source