All Stories

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