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03/21/2021
Structural block driven - enhanced convolutional neural representation for relation extraction
In this paper, we propose a novel lightweight relation extraction approa...
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12/09/2020
Collaborative Coded Computation Offloading: An All-pay Auction Approach
As the amount of data collected for crowdsensing applications increases ...
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07/19/2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Since edge device failures (i.e., anomalies) seriously affect the produc...
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04/21/2020
An RNN-Survival Model to Decide Email Send Times
Email communications are ubiquitous. Firms control send times of emails ...
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09/09/2019
Nearly-Unsupervised Hashcode Representations for Relation Extraction
Recently, kernelized locality sensitive hashcodes have been successfully...
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07/21/2019
LiSA: A Lightweight and Secure Authentication Mechanism for Smart Metering Infrastructure
Smart metering infrastructure (SMI) is the core component of the smart g...
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07/21/2019
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing
With the advent of the Internet-of-Things (IoT), vehicular networks and ...
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04/02/2019
An Efficient Blockchain-based Hierarchical Authentication Mechanism for Energy Trading in V2G Environment
Vehicle-to-grid (V2G) networks have emerged as a new technology in moder...
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04/02/2019
Blockchain-based Lightweight Authentication Mechanism for Vehicular Fog Infrastructure
With the increasing development of advanced communication technologies, ...
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03/24/2019
An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks
Network Functions Virtualization (NFV) in Software Defined Networks (SDN...
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01/30/2019
Securing Fog-to-Things Environment Using Intrusion Detection System Based On Ensemble Learning
The growing interest in the Internet of Things (IoT) applications is ass...
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01/28/2019
Managing Fog Networks using Reinforcement Learning Based Load Balancing Algorithm
The powerful paradigm of Fog computing is currently receiving major inte...
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04/29/2018
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis
An important task for many if not all the scientific domains is efficien...
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04/27/2018
Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots
This paper presents a solution for persistent monitoring of real-world s...
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04/27/2018
Learning Non-Stationary Space-Time Models for Environmental Monitoring
One of the primary aspects of sustainable development involves accurate ...
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04/27/2018
Efficiently Learning Nonstationary Gaussian Processes for Real World Impact
Most real world phenomena such as sunlight distribution under a forest c...
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04/27/2018
Efficiently Learning Nonstationary Gaussian Processes
Most real world phenomena such as sunlight distribution under a forest c...
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04/26/2018
Adaptive Sensing for Learning Nonstationary Environment Models
Most environmental phenomena, such as wind profiles, ozone concentration...
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04/26/2018
Dialogue Modeling Via Hash Functions: Applications to Psychotherapy
We propose a novel machine-learning framework for dialogue modeling whic...
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01/11/2018
Stochastic Learning of Nonstationary Kernels for Natural Language Modeling
Natural language processing often involves computations with semantic or...
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11/10/2017
Efficient Representation for Natural Language Processing via Kernelized Hashcodes
Kernel similarity functions have been successfully applied in classifica...
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01/22/2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
In this paper, we focus on online representation learning in non-station...
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12/04/2015