Explanipedia

Metamaterials Break the Constraints of Traditional Civil Infrastructure Open

Amir H. Alavi · 2025

Advanced materials are essential for enhancing the resilience, efficiency, and adaptability of civil infrastructure. Yet, the core materials used in civil infrastructure systems today have remained largely unchanged for nearly a century, w…

Technical note: The impact of image size on bloodstain pattern analysis using machine learning Open

Amir H. Alavi, Theresa Stotesbury, Peter R. Lewis · 2025

Classification of bloodstain patterns can occur at the scene or through (digital) images submitted for analysis and/or peer review. Capturing high-resolution images requires high-quality cameras or scanners and can be time consuming, espec…

Euclid Quick Data Release (Q1). NIR processing and data products Open

G. Polenta, M. Frailis, M. Frailis, P. N. Appleton, P. N. Appleton , et al. · 2025

This paper describes the near-infrared processing function (NIR PF) that processes near-infrared images from the Near-Infrared Spectrometer and Photometer (NISP) instrument onboard the Euclid satellite. NIR PF consists of three main compon…

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants Open

Pengcheng Jiao, Chenjie Zhang, Wenxuan Meng, Jiajun Wang, Daeik Jang , et al. · 2025

Current limitations in implant design often lead to trade-offs between minimally invasive surgery and achieving the desired post-implantation functionality. Here, we present an artificial intelligence inverse design paradigm for creating d…

Wireless Electronic-free Mechanical Metamaterial Implants Open

Jianzhe Luo, Wenyun Lu, Pengcheng Jiao, Daeik Jang, Kaveh Barri , et al. · 2024

Despite significant advancements in wireless smart implants over the last two decades, current implantable devices still operate passively and require additional electronic modules for wireless transmission of the stored biological data. T…

Innovative digital twin with artificial neural networks for real-time monitoring of structural response: A port structure case study Open

Sanduni Jayasinghe, Mojtaba Mahmoodian, Amir Sidiq, Thathsara Nanayakkara, Amir H. Alavi , et al. · 2024

A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using ProteographTM and Trapped Ion Mobility Mass Spectrometry Open

Matthew E.K. Chang, Jane Lange, Jessie May Cartier, Travis W. Moore, Shannon Kimberly P. Soriano , et al. · 2024

There is a significant unmet need for clinical reflex tests that increase the specificity of prostate-specific antigen blood testing, the longstanding but imperfect tool for prostate cancer diagnosis. Towards this endpoint, we present the …

Millifluidic Nanogenerator Lab‐on‐a‐Chip Device for Blood Electrical Conductivity Monitoring at Low Frequency Open

Jianzhe Luo, Wenyun Lu, Daeik Jang, Qianyun Zhang, Wenxuan Meng , et al. · 2024

The electrical conductivity of blood is a crucial physiological parameter with diverse applications in medical diagnostics. Here, a novel approach utilizing a portable millifluidic nanogenerator lab‐on‐a‐chip device for measuring blood con…

Coupling Chiral Cuboids with Wholly Auxetic Response Open

Jiajun Wang, Z. Chen, Pengcheng Jiao, Amir H. Alavi · 2024

Auxetic materials have been extensively studied for their design, fabrication and mechanical properties. These material systems exhibit unique mechanical characteristics such as high impact resistance, shear strength, and energy absorption…

Mechanical metamaterials and beyond Open

Pengcheng Jiao, J. Howard Mueller, Jordan R. Raney, Xiaoyu Zheng, Amir H. Alavi · 2023

Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on mechanical metamaterials has focused on passive mechanical metamaterials and the tunability of th…

Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities Open

Qianyun Zhang, Kaveh Barri, Hao Yu, Zhe Wan, Wenyun Lu , et al. · 2023

Bio-Inspired Metastructure Evolution In article number 2300019, Qianyun Zhang, Amir H. Alavi, and co-workers explore the principles of natural evolution for design and discovery of thousands of metastructures with hitherto unknown structur…

Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities Open

Qianyun Zhang, Kaveh Barri, Hao Yu, Zhe Wan, Wenyun Lu , et al. · 2023

Harnessing the power of natural evolution for automated exploration of novel forms of metastructures is likely to be the next technological revolution of the material science. Herein, the principles of evolution into the metamaterial desig…

Artificial intelligence-enabled prediction model of student academic performance in online engineering education Open

Pengcheng Jiao, Fan Ouyang, Qianyun Zhang, Amir H. Alavi · 2022

Online education has been facing difficulty in predicting the academic performance of students due to the lack of usage of learning process, summative data and a precise prediction of quantitative relations between variables and achievemen…

Editorial: mHealth for Non-Communicable Diseases Open

Ching‐Hsien Hsu, Amir H. Alavi, Mianxiong Dong · 2022

EDITORIAL article Front. Public Health, 19 July 2022Sec. Digital Public Health https://doi.org/10.3389/fpubh.2022.918982

Guest Editorial: Blockchain in Smart Education Open

Ching‐Hsien Hsu, Amir H. Alavi, He Li · 2022

In a smart educational environment, the significant challenges faced by its stakeholders are trust, privacy, and transparency-related issues in sharing and retrieval of any information. Since blockchain is a sole technology provides extrao…

Sensing, processing, computing and networking for the era of wearables Open

Wenbo Ding, Amir H. Alavi, Francesco Fioranelli, Gang Li, Xiaoyue Ni , et al. · 2022

Influence of novel turbulator on efficiency of solar collector system Open

M. Sheikholeslami, M. Jafaryar, M. Barzegar Gerdroodbary, Amir H. Alavi · 2022

To reach more efficient solar system, hybrid nanomaterial has been applied through the tube. The pipe was equipped with new shape of turbulator to augment the swirl flow. Special shape of turbulator makes it possible to act as fin because …

Magnetic capsulate triboelectric nanogenerators Open

Pengcheng Jiao, Ali Matin Nazar, King-James Idala Egbe, Kaveh Barri, Amir H. Alavi · 2022

Evolutionary Computation 2020 Open

Gai‐Ge Wang, Amir H. Alavi · 2021

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. I…

Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences Open

M.Z. Naser, Amir H. Alavi · 2021

Multifunctional Triboelectric Nanogenerator‐Enabled Structural Elements for Next Generation Civil Infrastructure Monitoring Systems Open

Qianyun Zhang, Kaveh Barri, Sadra Rahimi Kari, Zhong Lin Wang, Amir H. Alavi · 2021

There is a critical shortage in research needed to explore a new class of multifunctional structural components that respond to their environment, empower themselves and self‐monitor their condition. Here, the novel concept of triboelectri…

Induced heating-healing of conductive asphalt concrete as a sustainable repairing technique: A review Open

Mohammad M. Karimi, Saeid Amani, Hamid Jahanbakhsh, Behnam Jahangiri, Amir H. Alavi · 2021

Table of Contents Open

Mathias Bonmarin, Lukas Steinmetz, Fabrizio Spano, Christoph Geers, Francesco Bonavolontà , et al. · 2021

Multifunctional meta-tribomaterial nanogenerators for energy harvesting and active sensing Open

Kaveh Barri, Pengcheng Jiao, Qianyun Zhang, Jun Chen, Zhong Lin Wang , et al. · 2021

Interactive personalized recommendation systems for human health Open

Ching‐Hsien Hsu, Amir H. Alavi, Mianxiong Dong · 2021

A deep learning approach to predict Hamburg rutting curve Open

Hamed Majidifard, Behnam Jahangiri, Punyaslok Rath, Amir H. Alavi, William G. Buttlar · 2021

Rutting continues to be one of the principal distresses in asphalt pavements worldwide. This type of distress is caused by permanent deformation and shear failure of the asphalt mix under the repetition of heavy loads. The Hamburg wheel tr…

Real-Time Detection of Cracks on Concrete Bridge Decks Using Deep Learning in the Frequency Domain Open

Qianyun Zhang, Kaveh Barri, Saeed Babanajad, Amir H. Alavi · 2020

This paper presents a vision-based crack detection approach for concrete bridge decks using an integrated one-dimensional convolutional neural network (1D-CNN) and long short-term memory (LSTM) method in the image frequency domain. The so-…

Issue Information Open

Fengren Cao, Min Wang, Haoxuan Sun, Wei Tian, L. Li , et al. · 2020

Steady natural convec on heat and mass

Artificial intelligence-enabled smart mechanical metamaterials: advent and future trends Open

Pengcheng Jiao, Amir H. Alavi · 2020

Mechanical metamaterials have opened an exciting venue for control and manipulation of architected structures in recent years. Research in the area of mechanical metamaterials has covered many of their fabrication, mechanism characterisati…

An enhanced adaptive global‐best harmony search algorithm for continuous optimization problems Open

Hasan Yarmohamadi, Qianyun Zhang, Pengcheng Jiao, Amir H. Alavi · 2020

This paper presents an enhanced adaptive global‐best harmony search (EAGHS) to solve global continuous optimization problems. The global‐best HS (GHS) is one of the strongest versions of the classical HS algorithm that hybridizes the conce…

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