Results 141 to 150 of about 683,409 (316)

Exploring Synergistic Ensemble Learning: Uniting CNNs, MLP-Mixers, and Vision Transformers to Enhance Image Classification [PDF]

Mk Bashar, Ocean Monjur, Samia Islam, Maitha Shams, Niamul Quader   +4 more
openalex   +1 more source

Instance Segmentation of Grape Berry Images Based on Improved Mask R-Cnn

, 2023
Yanmin Chen, Xiu Li, Mei Jia, Jiuliang Li, Tianyang Hu, Jun Luo   +5 more
openalex   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Research on the Spatiotemporal Effects of Water Temperature in the Construction of Cascade Dams on the Yangtze River Main Stream Based on Optimized CNN-LSTM Attention Model [PDF]

Shanghong Zhang, Hao Wang, Ruicheng Zhang, Hua Zhang, Yang Zhou   +4 more
openalex   +1 more source

Expert System for Diagnosis of Lung Disease from X-Ray Using CNN and SVM [PDF]

, 2023
Zulkifli Zulkifli, Retno Ariza Soeprihatini, Sfenrianto Sfenrianto, Zulvi Wiyanti, Panji Bintoro, Fitriana Fitriana, Sukarni Sukarni, Nopi Anggista Putri, Dwi Yana Ayu Andini   +8 more
openalex   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

Bimodal Mechanoluminescence Enables Multicolor Luminescent Tailing for Ultra‐Accurate Loading Speed Visualization and Detection

Advanced Science, EarlyView.
MgF2 exhibits a speed‐dependent mechanoluminescence (ML) color distribution arising from distinct ML lifetimes, showing blue emission under slow sliding and multicolor emission under fast sliding. A promising method for evaluating ML lifetime is proposed based on the trailing effect. By synergistically integrating instantaneous and persistent ML with a
Shulong Chang, Wenjin Liu, Yalei Wang, Lingfeng Yu, Xinyu Huang, Pengyu Lv, Lin Dong, Huilin Duan, Yahui Xue   +8 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Damage identification of reinforced concrete structure based on CNN-ICSA-GWELM model. [PDF]

Sci Rep
You W.
europepmc   +1 more source