Results 131 to 140 of about 22,603 (282)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

A Review on IoT Security: Challenges and Solution using Lightweight Cryptography and Security Service Mechanisms Offloading at Fog

, 2021
Vaishali Hitesh Patel, Sanjay Patel
openalex   +1 more source

Lightweight Cryptography for Network-on-Chip Data Encryption [PDF]

, 2021
Riadh Ayachi, Ayoub Mhaouch, Abdessalem Ben Abdelali   +2 more
openalex   +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

A lightweight cryptographic system for implantable biosensors

, 2014
Sara S. Ghoreishizadeh, Tolga Yalçın, Antonio Pullini, Giovanni De Micheli, Wayne Burleson, Sandro Carrara   +5 more
openalex   +2 more sources

Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation

Advanced Intelligent Systems, EarlyView.
(a) Separated network architecture, where the lung nodule detection and segmentation networks are separated. (b) Separated head architecture, where an anchor‐based head is responsible for detection and another head for segmentation. (c) The study's architecture, containing a lightweight backbone network based on deformable Transformer for feature ...
Lilu Liu, Xiuping Nie, Haojian Lu, Jian Hu, Qi Dou, Rong Xiong, Yue Wang   +6 more
wiley   +1 more source

An Effective Lightweight Cryptographic Algorithm to Secure Resource-Constrained Devices [PDF]

, 2018
Sohel Rana, Saddam Hossain, Hasan Rajib Imam, Mohammod   +3 more
openalex   +1 more source

Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

Advanced Intelligent Systems, EarlyView.
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang, Yifeng Hao, Jing Dai, Ka‐Wai Kwok   +3 more
wiley   +1 more source