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ORCIDInformation Fusion, Volume 49
Volume 49, September 2019
- Praveen Kumar Donta
, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu:
Machine learning algorithms for wireless sensor networks: A survey. 1-25 - Andris Davis Jaunzemis, Marcus J. Holzinger, Moses W. Chan, Prakash P. Shenoy:
Evidence gathering for hypothesis resolution using judicial evidential reasoning. 26-45 - Eiman Kanjo, Eman M. G. Younis, Chee Siang Ang:
Deep learning analysis of mobile physiological, environmental and location sensor data for emotion detection. 46-56 - Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes:
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. 57-68 - M. Shamim Hossain, Ghulam Muhammad:
Emotion recognition using deep learning approach from audio-visual emotional big data. 69-78 - Robin P. Guan, Branko Ristic, Liuping Wang, Jennifer L. Palmer:
KLD sampling with Gmapping proposal for Monte Carlo localization of mobile robots. 79-88 - Yanling Du, Wei Song, Qi He, Dongmei Huang, Antonio Liotta, Chen Su:
Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection. 89-99 - Sahabul Alam, Debashis De:
Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling. 100-119 - Filipe Rodrigues, Ioulia Markou, Francisco C. Pereira:
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. 120-129 - Veronika A. Zimmer, Miguel Ángel González Ballester, Gemma Piella:
Multimodal image registration using Laplacian commutators. 130-145 - Emrah Koksalmis, Özgür Kabak:
Deriving decision makers' weights in group decision making: An overview of objective methods. 146-160 - Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh:
Stereo and ToF data fusion by learning from synthetic data. 161-173 - Sandip Kumar Singh Modak, Vijay Kumar Jha:
Multibiometric fusion strategy and its applications: A review. 174-204 - Saurabh Dey, Qiang Ye, Srinivas Sampalli:
A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks. 205-215 - Kun Lv, Yun Chen, Changzhen Hu:
Dynamic defense strategy against advanced persistent threat under heterogeneous networks. 216-226 - Roberto Casado-Vara, Pablo Chamoso, Fernando de la Prieta, Javier Prieto, Juan M. Corchado:
Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. 227-239 - Yurong Liu, Zidong Wang, Lifeng Ma, Fuad E. Alsaadi:
A Partial-Nodes-Based Information fusion approach to state estimation for discrete-Time delayed stochastic complex networks. 240-248 - Felipe Diniz Ramalho, Petr Yakovlevitch Ekel, Witold Pedrycz, Joel G. Pereira Júnior, Gustavo Luís Soares:
Multicriteria decision making under conditions of uncertainty in application to multiobjective allocation of resources. 249-261 - Renwei Dian, Shutao Li, Leyuan Fang, Qi Wei:
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation. 262-270 - Roberto Olmos, Siham Tabik, Alberto Castillo Lamas, Francisco Pérez-Hernández, Francisco Herrera:
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. 271-280
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