Results 161 to 170 of about 3,905,200 (321)

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum support ...
Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro   +4 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Enhanced QSVM with elitist non‐dominated sorting genetic optimisation algorithm for breast cancer diagnosis

IET Quantum Communication
Machine learning has emerged as a promising method for predicting breast cancer using quantum computation techniques. Quantum machine learning algorithms, such as quantum support vector machines (QSVMs), are demonstrating superior efficiency and economy ...
Jose P, Shanmugasundaram Hariharan, Vimaladevi Madhivanan, Sujaudeen N, Murugaperumal Krisnamoorthy, Aswani Kumar Cherukuri   +5 more
doaj   +1 more source

Quantum autoencoders for image classification

Quantum Machine Intelligence
Classical machine learning often struggles with complex, high-dimensional data. Quantum machine learning offers a potential solution, promising more efficient processing. The quantum convolutional neural network (QCNN), a hybrid algorithm, fits current noisy intermediate-scale quantum hardware.
Asaoka, Hinako, Kudo, Kazue
openaire   +2 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Stepwise On‐Surface Synthesis and Transformations of Two‐Dimensional Covalent Organic Frameworks by Controlled Thermal Stimuli

Advanced Materials, EarlyView.
The seminal transformation of a 2D‐COF (SURFCOF‐IMDEA1) into a 2D porous COF (SURFCOF‐IMDEA2) on Au(111) by a sequential C‐C coupling and ladderization triggered by thermal annealing steps at increasing temperatures is reported. Abstract The development of covalent organic frameworks (COFs) is currently a primary objective in materials science, taking ...
Ana Barragán, Elena Pérez‐Elvira, Diego J. Vicent, Marco Lozano, Diego Soler‐Polo, Koen Lauwaet, José M. Gallego, Rodolfo Miranda, José I. Urgel, Pavel Jelínek, Nazario Martín, David Écija   +11 more
wiley   +1 more source

Bacteria‐Responsive Nanostructured Drug Delivery Systems for Targeted Antimicrobial Therapy

Advanced Materials, EarlyView.
Bacteria‐responsive nanocarriers are designed to release antimicrobials only in the presence of infection‐specific cues. This selective activation ensures drug release precisely at the site of infection, avoiding premature or indiscriminate release, and enhancing efficacy.
Guillermo Landa, Gracia Mendoza, Silvia Irusta, Manuel Arruebo   +3 more
wiley   +1 more source

Quantum-classical separations in shallow-circuit-based learning with and without noises

Communications Physics
An essential problem in quantum machine learning is to find quantum-classical separations between learning models. However, rigorous and unconditional separations are lacking for supervised learning.
Zhihan Zhang, Weiyuan Gong, Weikang Li, Dong-Ling Deng   +3 more
doaj   +1 more source

Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation

Advanced Materials, EarlyView.
Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li, Soumya Mukherjee, Michael J. Zaworotko   +2 more
wiley   +1 more source

Directional Flow of Confined Polaritons in CrSBr

Advanced Materials, EarlyView.
CrSBr, a layered magnetic semiconductor, naturally channels self‐hybridized excitonpolaritons into highly directional flow. Its intrinsic optical anisotropy, high refractive index, and strong lightmatter coupling enable long‐range guided modes along the a‐axis, with propagation lengths set by their excitonphoton admixture.
Pratap Chandra Adak, Sichao Yu, Jaime Abad‐Arredondo, Biswajit Datta, Andy Cruz, Sorah Fischer, Kseniia Mosina, Zdeněk Sofer, Antonio I. Fernández‐Domínguez, Francisco J. Garcia‐Vidal, Vinod M. Menon   +10 more
wiley   +1 more source