Výsledky vyhľadávania - "International Conference on Big Data and Smart Computing"

Human activity recognition from accelerometer data using Convolutional Neural Network Autor Song-Mi Lee, Sang Min Yoon, Heeryon Cho

“…We propose a one-dimensional (1D) Convolutional Neural Network (CNN)-based method for recognizing human activity using triaxial accelerometer data collected…”
Získať plný text

Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach Autor Xishuang Dong, Lijun Qian, Lei Huang

“…Although many methods are available to forecast short-term electricity load based on small scale data sets, they may not be able to accommodate large data sets…”
Získať plný text

XGBoost Classifier for DDoS Attack Detection and Analysis in SDN-Based Cloud Autor Chen, Zhuo, Jiang, Fu, Cheng, Yijun, Gu, Xin, Liu, Weirong, Peng, Jun

“…The marriage of cloud and software defined network (SDN) can work out the challenge which exist in the typical cloud platform such as the private cloud…”
Získať plný text

Citation Recommendations Considering Content and Structural Context Embedding Autor Zhang, Yang, Ma, Qiang

“…The number of academic papers being published is increasing exponentially in recent years, and recommending adequate citations to assist researchers in writing…”
Získať plný text

Method of intrusion detection using deep neural network Autor Jin Kim, Nara Shin, Seung Yeon Jo, Sang Hyun Kim

“…In this study, an artificial intelligence (AI) intrusion detection system using a deep neural network (DNN) was investigated and tested with the KDD Cup 99…”
Získať plný text

Federated Learning based Energy Demand Prediction with Clustered Aggregation Autor Tun, Ye Lin, Thar, Kyi, Thwal, Chu Myaet, Hong, Choong Seon

“…To reduce negative environmental impacts, power stations and energy grids need to optimize the resources required for power production. Thus, predicting the…”
Získať plný text

T-CONV: A Convolutional Neural Network for Multi-scale Taxi Trajectory Prediction Autor Lv, Jianming, Li, Qing, Sun, Qinghui, Wang, Xintong

“…Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional…”
Získať plný text

Spatiotemporal Deep Learning Model for Citywide Air Pollution Interpolation and Prediction Autor Le, Van-Duc, Bui, Tien-Cuong, Cha, Sang-Kyun

“…Air pollution prediction for the whole city is a challenging problem. The reason is, there are many spatiotemporal factors affecting air pollution throughout…”
Získať plný text

Solid-State LiDAR based-SLAM: A Concise Review and Application Autor Nam, Dinh Van, Gon-Woo, Kim

“…An efficient navigation system for the autonomous mobile robot demands the integration of the simultaneous localization and mapping system (SLAM). In general,…”
Získať plný text

CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression Autor Astrid, Marcella, Seung-Ik Lee

“…Convolutional Neural Networks (CNNs) has shown a great success in many areas including complex image classification tasks. However, they need a lot of memory…”
Získať plný text

Real-Time Facial Feature Extraction Scheme Using Cascaded Networks Autor Kim, Hyeonwoo, Kim, Hyungjoon, Hwang, Eenjun

“…Facial landmarks such as eyes, nose, and mouth are the most prominent feature points on the face. So far, many works have been done for efficiently extracting…”
Získať plný text

Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning Autor Essien, Aniekan, Petrounias, Ilias, Sampaio, Pedro, Sampaio, Sandra

“…Traffic parameter forecasting is critical to effective traffic management but is a challenging task due to the stochasticity of traffic flow characteristics,…”
Získať plný text

Deep Neural Networks for traffic flow prediction Autor Hongsuk Yi, HeeJin Jung, Sanghoon Bae

“…Traffic flow prediction is an essential function of traffic information systems. Conventional approaches, using artificial neural networks with narrow network…”
Získať plný text

GAN-Based Anomaly Detection and Localization of Multivariate Time Series Data for Power Plant Autor Choi, Yeji, Lim, Hyunki, Choi, Heeseung, Kim, Ig-Jae

“…Recently, as real-time sensor data collection increases in various fields such as power plants, smart factories, and health care systems, anomaly detection for…”
Získať plný text

The Border K-Means Clustering Algorithm for One Dimensional Data Autor Froese, Ryan, Klassen, James W., Leung, Carson K., Loewen, Tyler S.

“…Clustering has been widely used for data pre-processing, mining, and analysis. The k-means clustering algorithm is commonly used because of its simplicity and…”
Získať plný text

Transfer Learning for Photovoltaic Power Forecasting with Long Short-Term Memory Neural Network Autor Zhou, Siyu, Zhou, Lin, Mao, Mingxuan, Xi, Xinze

“…Data-driven modeling is one of the research hotspots of photovoltaic (PV) power prediction. However, for some newly built PV power plants, there are not enough…”
Získať plný text

The chatbot feels you - a counseling service using emotional response generation Autor Dongkeon Lee, Kyo-Joong Oh, Ho-Jin Choi

“…Early study tries to use chatbot for counseling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However,…”
Získať plný text

Enhanced Android Malware Detection: An SVM-Based Machine Learning Approach Autor Han, Hyoil, Lim, SeungJin, Suh, Kyoungwon, Park, Seonghyun, Cho, Seong-je, Park, Minkyu

“…The cybersecurity of increasing numbers of mobile devices and their users are threatened by malicious applications. Detecting malicious Android applications is…”
Získať plný text

Deep Learning Mental Health Dialogue System Autor Brocki, Lennart, Dyer, George C., Gladka, Anna, Chung, Neo Christopher

“…Mental health counseling remains a major challenge in modern society due to cost, stigma, fear, and unavailability. We posit that generative artificial…”
Získať plný text

Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning Autor Han, Seung-Ho, Choi, Ho-Jin, Benz, Philipp, Loaiciga, Jorge

“…Navigation tasks for mobile robots have been widely studied over past several years. More recently, there have been many attempts to introduce the usage of…”
Získať plný text