Results 41 to 50 of about 509,921 (183)

Toward reduction of artifacts in fused images [PDF]

, 2011
Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Alonso, Alparone, Arduini, Bruzzone, Chavez, Choi, Conci, Consuelo Gonzalo, Do, Falconer, Gonzalez-Audicana, Gonzalo, Grazzini, Huang, Huiping, Karathanassi, Kruse, Li, Li, Lillo-Saavedra, Lillo-Saavedra, Mallat, Mandelbrot, Mario Lillo-Saavedra, Mitchell, Myint, Nencini, Octavio Lagos, Parrinello, Parrinello, Pentland, Pohl, Qu, Sun, Sun, Toet, Tu, Tu, Vijayaraj, Wang, Wang, Yang, Zhang, Zhou, Zribi   +44 more
core   +2 more sources

Design of Multi-Source Heterogeneous Data Fusion Algorithm for Distribution Networks Based on Improved Kalman Filter

IEEE Access
The complexity of multi-source heterogeneous data in distribution network is high and Significant deviations in multi-source heterogeneous data increase the complexity of fusion multi-source heterogeneous data in distribution network.
Min Li, Jing Tan, Juncheng Zhang, Xiaohong Tan, Tianlu Luo   +4 more
doaj   +1 more source

Antimicrobial peptide identification using multi-scale convolutional network [PDF]

, 2019
Background: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention.
Quan, Xiongwen, Su, Xin, Xu, Jing, Yin, Yanbin, Zhang, Han   +4 more
core   +1 more source

Fusing drug enforcement: a study of the El Paso Intelligence Center [PDF]

, 2015
This article examines the evolution of the El Paso Intelligence Center (EPIC), a key intelligence component of the Drug Enforcement Administration, to shed light on fusion efforts in drug enforcement.
Van Puyvelde, Damien
core   +1 more source

A dynamic big data fusion and knowledge discovery approach for water resources intelligent system based on granular computing

Measurement: Sensors, 2023
This study aims to achieve intelligent fusion and unified modeling to meet the requirements of multi-source and heterogeneous big data granulation for knowledge discovery in the field of water resources.
Yongheng Zhang, Feng Zhang, Xiaoyan Ai, Hui Zhang, Yanna Feng   +4 more
doaj   +1 more source

PPF - A Parallel Particle Filtering Library

, 2014
We present the parallel particle filtering (PPF) software library, which enables hybrid shared-memory/distributed-memory parallelization of particle filtering (PF) algorithms combining the Message Passing Interface (MPI) with multithreading for multi ...
Demirel, Ömer, Meijering, Erik, Niessen, Wiro, Sbalzarini, Ivo F., Smal, Ihor   +4 more
core   +1 more source

Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

Gong-kuang zidonghua
In order to overcome the problem that a single information source cannot accurately characterize the evolution features of mining landslide disasters, based on multi-source information fusion technology, this paper summarizes the research progress of ...
LI Hui, HAN Xiaofei, ZHU Wancheng, SONG Qingwei, ZHOU Wenlong   +4 more
doaj   +1 more source

Multi-level fusion of hard and soft information [PDF]

, 2014
Proceedings of: 17th International Conference on Information Fusion (FUSION 2014): Salamanca, Spain 7-10 July 2014.Driven by the underlying need for a yet to be developed framework for fusing heterogeneous data and information at different semantic ...
Biermann, Joaquim, García, Jesús, Krenc, Ksawery, Nimier, Vincent, Rein, Kellyn, Snidaro, Lauro   +5 more
core   +2 more sources

Efficient Bayesian-based Multi-View Deconvolution

, 2014
Light sheet fluorescence microscopy is able to image large specimen with high resolution by imaging the sam- ples from multiple angles. Multi-view deconvolution can significantly improve the resolution and contrast of the images, but its application has ...
AP Dempster, Eugene Myers, Evangelia Stamataki, F Long, Fernando Amat, HM Hudson, J Huisken, J Schindelin, J Swoger, LA Shepp, LB Lucy, M Temerinac-Ott, Mihail Sarov, MS Uddin, Pavel Tomancak, PG Pitrone, PJ Keller, PJ Keller, PJ Verveer, Robert H Singer, S Bonettini, S Preibisch, Stephan Preibisch, T Pietzsch, TV Truong, WH Richardson   +25 more
core   +1 more source

Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology

Sensors
This paper presents a multi-source data-driven hybrid path planning framework that integrates global A* search with local Deep Q-Network (DQN) optimization to address complex terrestrial routing challenges.
Xiao Ji, Peng Liu, Meng Zhang, Chengchun Zhang, Shuang Yu, Bing Qi, Man Zhao   +6 more
doaj   +1 more source