All Stories

  1. Non-cooperative Distributed Detection via Federated Sensor Networks
  2. Exploring a Modular Architecture for Sensor Validation in Digital Twins
  3. Transmit Signal Design for Polarimetric Radars under Local Waveform Constraints
  4. DISTILLER: Encrypted traffic classification via multimodal multitask deep learning
  5. Distributed Detection in Wireless Sensor Networks Under Multiplicative Fading via Generalized Score Tests
  6. Encrypted Multitask Traffic Classification via Multimodal Deep Learning
  7. Fusion of Local Decisions based on Rao test in Resource-constrained Sensor Networks
  8. Characterization and Prediction of Mobile-App Traffic Using Markov Modeling
  9. Digital Moka: Small-Scale Condition Monitoring in Process Engineering
  10. Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture
  11. Characterization and analysis of cloud-to-user latency: The case of Azure and AWS
  12. A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios
  13. A Data-Driven Architecture for Sensor Validation Based on Neural Networks
  14. A Big Data-Enabled Hierarchical Framework for Traffic Classification
  15. Toward effective mobile encrypted traffic classification through deep learning
  16. Wideband Collaborative Spectrum Sensing Using Massive MIMO Decision Fusion
  17. A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools
  18. Multi-bit Decentralized Detection of a Non-cooperative Moving Target Through a Generalized Rao Test
  19. Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)
  20. Multibit Decentralized Detection Through Fusing Smart and Dumb Sensors Based on Rao Test
  21. Bandwidth-Constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion
  22. Distributed Detection of a Non-cooperative Target with Multiplicative Fading
  23. Characterizing Cloud-to-User Latency as Perceived by AWS and Azure Users Spread over the Globe
  24. MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
  25. MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation
  26. Decision Fusion Rules in Ambient Backscatter Wireless Sensor Networks
  27. Distributed detection with fuzzy censoring sensors in the presence of noise uncertainty
  28. Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
  29. Know your Big Data Trade-offs when Classifying Encrypted Mobile Traffic with Deep Learning
  30. Bayesian fuzzy hypothesis test in wireless sensor networks with noise uncertainty
  31. Data Fusion in Wireless Sensor Networks: A statistical signal processing perspective
  32. Learning Wireless Sensor Networks for Source Localization
  33. IoT-Enabled Distributed Detection of a Nuclear Radioactive Source via Generalized Score Tests
  34. Multi-bit Decentralized Detection of a Weak Signal in Wireless Sensor Networks with a Rao test
  35. Mobile Encrypted Traffic Classification Using Deep Learning
  36. Mean-Based Blind Hard Decision Fusion Rules
  37. Quantizer Design for Generalized Locally Optimum Detectors in Wireless Sensor Networks
  38. DECHADE: DEtecting slight Changes with HArd DEcisions in Wireless Sensor Networks
  39. Multi-classification approaches for classifying mobile app traffic
  40. Traffic Classification of Mobile Apps through Multi-Classification
  41. On Multiple Covariance Equality Testing with Application to SAR Change Detection
  42. On the asymptotic distribution of Time-Reversal MUSIC null spectrum
  43. Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark
  44. Rician MIMO Channel- and Jamming-Aware Decision Fusion
  45. On Time-Reversal Imaging by Statistical Testing
  46. Distributed detection of a non-cooperative target via generalized locally-optimum approaches
  47. Generalized Rao Test for Decentralized Detection of an Uncooperative Target
  48. Noncolocated Time-Reversal MUSIC: High-SNR Distribution of Null Spectrum
  49. On the Statistical Invariance for Adaptive Radar Detection in Partially Homogeneous Disturbance Plus Structured Interference
  50. Robust Waveform and Filter Bank Design of Polarimetric Radar
  51. On the Maximal Invariant Statistic for Adaptive Radar Detection in Partially Homogeneous Disturbance With Persymmetric Covariance
  52. Performance Analysis of Energy Detection for MIMO Decision Fusion in Wireless Sensor Networks Over Arbitrary Fading Channels
  53. Optimizing polarimetrie radar waveform and filter bank for extended targets in clutter
  54. A Unifying Framework for Adaptive Radar Detection in Homogeneous Plus Structured Interference— Part II: Detectors Design
  55. A Unifying Framework for Adaptive Radar Detection in Homogeneous Plus Structured Interference— Part I: On the Maximal Invariant Statistic
  56. Massive MIMO for Decentralized Estimation of a Correlated Source
  57. Intrapulse radar-embedded communications via multiobjective optimization
  58. A Systematic Framework for Composite Hypothesis Testing of Independent Bernoulli Trials
  59. Massive MIMO for decentralized estimation over coherent multiple access channels
  60. HMM-Based Decision Fusion in Wireless Sensor Networks With Noncoherent Multiple Access
  61. Performance Analysis of Time-Reversal MUSIC
  62. Pareto-theory for enabling covert intrapulse radar-embedded communications
  63. Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks
  64. Massive MIMO Channel-Aware Decision Fusion
  65. On Energy Detection for MIMO Decision Fusion in Wireless Sensor Networks Over NLOS Fading
  66. A Dominance-Based Soft-Input Soft-Output MIMO Detector With Near-Optimal Performance
  67. On MSE performance of time-reversal MUSIC
  68. Energy detection for decision fusion in wireless sensor networks over Ricean-mixture fading
  69. Massive MIMO meets decision fusion: Decode-and-fuse vs. decode-then-fuse
  70. Decision Fusion With Unknown Sensor Detection Probability
  71. Tracking the Tracker from its Passive Sonar ML-PDA Estimates
  72. Minimum-Variance Importance-Sampling Bernoulli Estimator for Fast Simulation of Linear Block Codes over Binary Symmetric Channels
  73. EDMA-based schemes for cognitive radio systems with channel state information
  74. Can you track the tracker?
  75. Orthogonality and Cooperation in Collaborative Spectrum Sensing through MIMO Decision Fusion
  76. Performance Analysis and Design of Maximum Ratio Combining in Channel-Aware MIMO Decision Fusion
  77. Low-complexity dominance-based sphere decoder for MIMO systems
  78. One-Bit Decentralized Detection With a Rao Test for Multisensor Fusion
  79. Objective priors from maximum entropy in data classification
  80. Optimality of Received Energy in Decision Fusion Over Rayleigh Fading Diversity MAC With Non-Identical Sensors
  81. Mobile sensor networks based on autonomous platforms for homeland security
  82. Decision fusion in MIMO wireless sensor networks with channel state information
  83. A hash-tree based approach for a totally distributed track oriented Multi Hypothesis Tracker
  84. On the Performance of Energy-Division Multiple Access Over Fading Channels
  85. Consistency of sequence classification with entropic priors
  86. Channel-Aware Decision Fusion in Distributed MIMO Wireless Sensor Networks: Decode-and-Fuse vs. Decode-then-Fuse
  87. Gain design and power allocation for overloaded MIMO-OFDM systems with channel state information and iterative multiuser detection
  88. Soft-Input Soft-Output King Decoder for coded MIMO wireless communications
  89. Sub-optimal importance sampling for fast simulation of linear block codes over BSC channels
  90. Entropic priors for hidden-Markov model classification
  91. Tree-search ML detection for underdetermined MIMO systems with M-PSK constellations
  92. Group gain design for overloaded CDMA
  93. On Asymptotic Efficiency for Asynchronous CDMA