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检索条件"机构=Department of Big Data Analytics and Data Science"
6394 条 记 录,以下是1-10 订阅
排序:
Effi-CNN: real-time vision-based system for interpretation of sign language using CNN and transfer learning
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Multimedia Tools and Applications 2025年 第6期84卷 3137-3159页
作者: Pranav Katarya, Rahul Big Data Analytics and Web Intelligence Laboratory Computer Science & Engineering Department Delhi Technological University New Delhi India
The deaf and mute population has difficulty conveying their thoughts and ideas to others. Sign language is their most expressive mode of communication, but the general public is callow of sign language;therefore, the ... 详细信息
来源: 评论
T³Planner: Multi-Phase Planning Across Structure-Constrained Optical, IP, and Routing Topologies
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IEEE Journal on Selected Areas in Communications 2025年 第5期43卷 1823-1839页
作者: Hao, Yijun Yang, Shusen Li, Fang Zhang, Yifan Zhao, Cong Ren, Xuebin Zhao, Peng Xu, Chenren Wang, Shibo Xi’an Jiaotong University National Engineering Laboratory for Big Data Analytics Xi’an710049 China Xi’an Jiaotong University National Engineering Laboratory for Big Data Analytics Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an710049 China Peking University School of Computer Science Beijing100871 China The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong National Engineering Laboratory for Big Data Analytics Xi'an Jiaotong University Xi'an710049 China
Network topology planning is an essential multi-phase process to build and jointly optimize the multi-layer network topologies in wide-area networks (WANs). Most existing practices target single-phase/layer planning, ... 详细信息
来源: 评论
Enhancing data security through an integrated approach of multiple key cryptography and steganography in the wavelet domain  4th
Enhancing data security through an integrated approach of mu...
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4th International Conference on Computational Methods in science and Technology, ICCMST 2024
作者: Hashem, Al-Fariji Ahmed Hussein Medvedeva, Marina A. Agbozo, Ebenezer Department of Big Data Analytics and Methods of Video Analysis Ural Federal University Ekaterinburg Russia
The quantity of data that may be incorporated and the picture quality must be compromised in order to embed data within an image. As a direct result of this increased distortion, the quality of the stego picture that ... 详细信息
来源: 评论
Nonparametric Regression Estimator of Multivariable Truncated Spline For Categorical data
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IAENG International Journal of Applied Mathematics 2025年 第5期55卷 1357-1368页
作者: Suriaslan, Afiqah Saffa Budiantara, I Nyoman Ratnasari, Vita Statistics Department Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Statistics Department Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia
Recent years have witnessed significant interest in truncated spline estimators for nonparametric regression with quantitative data. However, the applicability of these estimators is limited by the frequent occurrence... 详细信息
来源: 评论
A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting
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Neural Computing and Applications 2025年 第5期37卷 3245-3264页
作者: Chacón-Maldonado, A.M. Melgar-García, L. Asencio-Cortés, G. Troncoso, A. Data Science and Big Data Lab Pablo de Olavide University SevilleES-41013 Spain Department of Artificial Intelligence Polytechnic University of Madrid MadridES-28660 Spain
Predicting the occurrence of crop pests is becoming a crucial task in modern agriculture to facilitate farmers’ decision-making. One of the most significant pests is the olive fruit fly, a public concern because it c... 详细信息
来源: 评论
Steel Surface Defect Detection Using Learnable Memory Vision Transformer
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Computers, Materials & Continua 2025年 第1期82卷 499-520页
作者: Syed Tasnimul Karim Ayon Farhan Md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea
This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as o... 详细信息
来源: 评论
GMFLDA: Improved prediction of IncRNA-disease association via graph convolutional network
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IEEE Access 2025年 13卷 85330-85341页
作者: Kim, Kwangsu Ha, Jihwan Pukyong National University Department of Scientific Computing Busan48513 Korea Republic of Pukyong National University Major of Big Data Convergence Division of Data Information Science Busan48513 Korea Republic of
The rapid expansion of diverse networks has created a growing need to integrate multiple heterogeneous structures to effectively capture both inter- and intra-entity relationships. This integration helps preserve the ... 详细信息
来源: 评论
Domain Reductions After Preprocessing: Effects on Dynamic Variable Ordering Heuristics in Constraint Satisfaction Search  23rd
Domain Reductions After Preprocessing: Effects on Dynamic V...
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23rd EPIA Conference on Artificial Intelligence, EPIA 2024
作者: Wallace, Richard J. Insight Centre for Data Analytics and Department of Computer Science University College Cork Cork Ireland
We still do not have an adequate understanding of heuristic methods used for solving constraint satisfaction problems (CSPs). An example involves the effects of preprocessing, an essential means of improving CSP ... 详细信息
来源: 评论
Online forecasting using neighbor-based incremental learning for electricity markets
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Neural Computing and Applications 2025年 1-18页
作者: Melgar-García, L. Gutiérrez-Avilés, D. Rubio-Escudero, C. Troncoso, A. Department of Artificial Intelligence Universidad Politécnica de Madrid Madrid28660 Spain Department of Computer Science University of Seville Avda. Reina Mercedes s/n Seville41012 Spain Data Science and Big Data Lab Pablo de Olavide University Seville41013 Spain
Electricity market forecasting is very useful for the different actors involved in the energy sector to plan both the supply chain and market operation. Nowadays, energy demand data are data coming from smart meters a... 详细信息
来源: 评论
HFANet: Hierarchical Feature-Enhanced Aggregation Network for Camouflaged Object Detection
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Journal of Shanghai Jiaotong University (science) 2025年 1-9页
作者: Zhang, Xinchao Zhu, Hengliang Mao, Guojun Department of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fuzhou350118 China
Camouflaged object detection (COD) aims to identify target objects in complex scenes with extremely high similarity to their surroundings, and has significant applications in military, medical, and other fields. This ... 详细信息
来源: 评论