Výsledky vyhľadávania - Convolution memory fusion algorithm

Human activity recognition based on hybrid learning algorithm for wearable sensor data Autor 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…”
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A High-Performance FPGA-Based Depthwise Separable Convolution Accelerator Autor Huang, Jiye, Liu, Xin, Guo, Tongdong, Zhao, Zhijin

“… An efficient convolution algorithm is proposed for depthwise…”
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Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short‐Term Memory Modules Autor 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…”
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Adaptive weighted feature fusion for multiscale atrous convolution‐based 1DCNN with dilated LSTM‐aided fake news detection using regional language text information Autor 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…”
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Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels Autor 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…”
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Multiscale Dilated Convolutional Neural Networks for Transient Electromagnetic Inversion Autor 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…”
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Fusion of Spiral Convolution-LSTM for Intrusion Detection Modeling Autor 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…”
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Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU Autor 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…”
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A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction Autor 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…”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head Autor 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…”
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MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model Autor 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…”
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Depth Image Hashing Algorithm Based on Local Global Feature Fusion Autor 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…”
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Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer’s Disease Classification Autor Odusami, Modupe, Maskeliūnas, Rytis, Damaševičius, Robertas

“…Alzheimer’s disease (AD) is a neurological condition that gradually weakens the brain and impairs cognition and memory…”
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Multi-Attention Feature Fusion Network for Accurate Estimation of Finger Kinematics From Surface Electromyographic Signals Autor 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…”
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Infrasound Event Classification Fusion Model Based on Multiscale SE-CNN and BiLSTM Autor 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…”
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Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs Autor 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…”
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Discovering Efficient Fused Layer Configurations for Executing Multi-Workloads on Multi-Core NPUs Autor 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…”
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Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation Autor 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…”
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Intelligent monitoring and diagnostics using a novel integrated model based on deep learning and multi-sensor feature fusion Autor 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…”
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GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network Autor 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…”
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