Results 81 to 90 of about 3,058 (206)

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Design methodology based on multi-objective optimization with evolutionary algorithms for humidification-dehumidification desalination systems using updated approaches

Desalination and Water Treatment
This paper develops a methodology for multi-objective optimization using Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The methodology aims to address the problem of the close relation between variables based on a mathematical model that ...
Geosvanis Boligán Rojas, Ana C. Meléndez Gurrola, Roberto Pérez Rodríguez, Carlos Alberto Trinchet Varela, Ricardo L. Ávila Rondón   +4 more
doaj   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

Implementation of In-house Computer-aided Design and Manufacturing for Accelerated Free Fibula Flap Reconstruction of Mandibular Defects in Cancer Patients

Plastic and Reconstructive Surgery, Global Open
Background:. Computer-aided design and manufacturing (CAD/CAM) is widely adopted for optimizing microsurgical reconstruction of mandibular defects.
Joakim L. Lindhardt, BSc, Birgitte J. Kiil, MD, Anders M. Jakobsen, BSc, Jytte Buhl, DDS, Andreas E. Krag, MD, PhD   +4 more
doaj   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Synthetic O‐Polysaccharide Backbone Units for a Single Antigen Vaccine Against Two Major Non‐Typhoidal Salmonella Serovars

Angewandte Chemie, EarlyView.
A modular strategy was developed to synthesize tri‐, hexa‐, and nona‐saccharides representing repeating units of the conserved O‐polysaccharide backbone of Salmonella. Conjugates of these glycans to bacteriophage Qβ induced strong IgG responses in mice and rabbits. Antibodies elicited recognized native O‐polysaccharides and conferred protection against
Xingling Pan, Changxin Huo, Soham Maity, Herbert Kavunja, Rachel Moszyk, Cameron Talbot, Scott M. Baliban, Xuefei Huang   +7 more
wiley   +2 more sources

Optimización de la distribución de piezas irregulares en chapas // Irregular parts nesting problem optimization.

Ingeniería Mecánica, 2010
ResumenEn el presente artículo se realiza un estudio de diferentes esquemas de solución reflejados en laliteratura, que tratan el problema de la distribución de piezas irregulares en superficies planas conanidamiento bidimensional (Nesting).
A. M. Lastres - Aleaga, J. Arbola - Ruiz, A. Cordovés - García   +2 more
doaj  

A Steerable and Expandable Magnetic Aspiration Catheter for Enhanced Aspiration Thrombectomy

Advanced Intelligent Systems, EarlyView.
This article presents a novel magnetic aspiration catheter (MAC) that can be both actively steered and undergo distal‐end expansion via externally applied magnetic fields. The MAC facilitates precise branch selection and enhances clot engagement by improving endovascular navigation and aspiration efficiency. Phantom experiments validate its feasibility
Hakjoon Lee, Xiao Dong, Dong‐in Kim, A. M. Masum Bulbul Chowdhury, Nader Latifi Gharamaleki, Jin‐young Kim, Sung Won Youn, Hongsoo Choi   +7 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Optimizing Ridge Augmentation With AI‐Generated Models: A Case Report With Technical Note

Clinical Case Reports
AI‐generated 3D models in ridge augmentation improve surgical accuracy, reduce bone exposure, and enhance patient understanding through visual planning. They support, but do not replace, clinical expertise. Ongoing validation, staff training, and ethical
Vasilios Alevizakos, Stephan Knörzer, Roman Krammer, Marcus Schiller, Constantin vonSee   +4 more
doaj   +1 more source