Suchergebnisse - Convolution memory fusion algorithm

Human activity recognition based on hybrid learning algorithm for wearable sensor data von Athota, Ravi Kumar, Sumathi, D.

“… Human Activity Recognition (HAR), based on sensor devices and the Internet of Things (IoT), attracted many researchers since it has diversified applications in …”
Volltext

A High-Performance FPGA-Based Depthwise Separable Convolution Accelerator von Huang, Jiye, Liu, Xin, Guo, Tongdong, Zhao, Zhijin

“… An efficient convolution algorithm is proposed for depthwise …”
Volltext

Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules von Ul Amin, Sareer, Kim, Bumsoo, Jung, Yonghoon, Seo, Sanghyun, Park, Sangoh

“… This study proposes an innovative method combining 3D convolutions and long short‐term memory (LSTM) modules to capture spatiotemporal features in video data …”
Volltext

Adaptive weighted feature fusion for multiscale atrous convolution‐based 1DCNN with dilated LSTM‐aided fake news detection using regional language text information von Rathinapriya, V, Kalaivani, J.

“… The people in the world rely on social media for gathering news, and it is mainly because of the development of technology. The approaches employed in natural …”
Volltext

Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels von Jia, Liancheng, Liang, Yun, Li, Xiuhong, Lu, Liqiang, Yan, Shengen

“… But traditional kernel fusion suffers from the problem of insufficient shared memory, which limits the performance …”
Volltext

Multiscale Dilated Convolutional Neural Networks for Transient Electromagnetic Inversion von Cheng, Kai, Yang, Xiaodong, Wu, Xiaoping

“… Here, we propose a TEM inversion algorithm based on multiscale dilated CNNs (MDCNNs). The algorithm leverages dilated convolutions to expand the receptive field without introducing additional computational complexity or memory consumption …”
Volltext

Fusion of Spiral Convolution-LSTM for Intrusion Detection Modeling von Wang, Fei, Dong, Zhen

“… The dataset is first preprocessed using solo thermal encoding and normalization functions. Then the spiral convolution-Long Short-Term Memory Network model is constructed …”
Volltext

Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU von Ramirez, Cristian, Castello, Adrian, Martinez, Hector, Quintana-Orti, Enrique S.

“… ). In this scenario, the limitations of edge devices in terms of power dissipation, memory capacity, and processing power require a careful selection and optimization of algorithms for IoT DL applications …”
Volltext

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction von Nti, Isaac Kofi, Adekoya, Adebayo Felix, Weyori, Benjamin Asubam

“… (Convolution Neural Networks (CNN) and Long Short-Term Memory (LSTM)) named IKN-ConvLSTM. Precisely, we design …”
Volltext

Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head von Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“… This paper proposes a small object detection algorithm based on partial convolution and attention fusion detection head, aiming to address the limitations of current mainstream object detection …”
Volltext

MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model von Ismail, Walaa N., Rajeena P.P, Fathimathul, Ali, Mona A. S.

“… Alzheimer’s disease (AD) is a neurological disease that affects numerous people. The condition causes brain atrophy, which leads to memory loss, cognitive impairment, and death …”
Volltext

Depth Image Hashing Algorithm Based on Local Global Feature Fusion von Wang, Xiaoxiao, Zhang, Lin, Yao, Nanzhen, Qian, Peng

“… In this paper, we design a two-channel feature extraction network called the local and global feature fusion network (LGDH …”
Volltext

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification von Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas

“… Alzheimer’s disease (AD) is a neurological condition that gradually weakens the brain and impairs cognition and memory …”
Volltext

Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals von Guo, Weiyu, Jiang, Ning, Farina, Dario, Su, Jingyong, Wang, Zheng, Lin, Chuang, Xiong, Hui

“… ) categories of finger movement. In this article, a novel deep learning algorithm, named multiattention feature fusion network (MAFN …”
Volltext

Infrasound Event Classification Fusion Model Based on Multiscale SE-CNN and BiLSTM von Li, Hongru, Li, Xihai, Tan, Xiaofeng, Niu, Chao, Liu, Jihao, Liu, Tianyou

“… The traditional infrasound classification mainly relies on machine learning algorithms after artificial feature extraction …”
Volltext

Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs von Qingcheng Xiao, Yun Liang, Liqiang Lu, Shengen Yan, Yu-Wing Tai

“… Distinct from the conventional convolution algorithm, Winograd algorithm uses less computing resources but puts more pressure on the memory bandwidth …”
Volltext

Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs von Lee, Younghyun, Kim, Hyejun, Yu, Yongseung, Cho, Myeongjin, Seo, Jiwon, Park, Yongjun

“… In this paper, we propose a scheduling search algorithm to optimize the fusion of multiple convolution layers while reducing the peak on-chip memory usage …”
Volltext

Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation von Kwak, Youngchul, Kong, Kyeongbo, Song, Woo-Jin, Min, Byoung-Kyong, Kim, Seong-Eun

“… In this paper, we propose a three-dimensional convolutional neural network (3D CNN) employing a multilevel feature fusion algorithm for mental workload estimation using electroencephalogram (EEG) signals …”
Volltext

Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion von Xu, Xingwei, Tao, Zhengrui, Ming, Weiwei, An, Qinglong, Chen, Ming

“… •A novel integration model is proposed for monitoring and diagnosis.•A parallel convolutional network is proposed to realize multi-sensor feature fusion …”
Volltext

GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network von Lin, Chia-Hung, Fang, Yo-Hui, Chang, Hsin-Yuan, Lin, Yu-Chien, Chung, Wei-Ho, Lin, Shih-Chun, Lee, Ta-Sung

“… Extensive research has been conducted to address this problem. More specifically, several optimization-based cooperative vehicle localization algorithms …”
Volltext