Dr Djamel Djenouri's Outputs (107)

Trajectory outlier detection: New problems and solutions for smart cities (2021)
Journal Article

This article introduces two new problems related to trajectory outlier detection: (1) group trajectory outlier (GTO) detection and (2) deviation point detection for both individual and group of trajectory outliers. Five algorithms are proposed for th... Read More about Trajectory outlier detection: New problems and solutions for smart cities.

Deep learning vs. traditional solutions for group trajectory outliers (2020)
Journal Article

This article introduces a new model to identify a group of trajectory outliers from a large trajectory database and proposes several algorithms. These can be split into three categories: 1) algorithms based on data mining and knowledge discovery, whi... Read More about Deep learning vs. traditional solutions for group trajectory outliers.

When the decomposition meets the constraint satisfaction problem (2020)
Journal Article

This paper explores the joint use of decomposition methods and parallel computing for solving constraint satisfaction problems and introduces a framework called Parallel Decomposition for Constraint Satisfaction Problems (PD-CSP). The main idea is th... Read More about When the decomposition meets the constraint satisfaction problem.

A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories (2020)
Journal Article

This paper addresses the taxi fraud problem and introduces a new solution to identify trajectory outliers. The approach as presented allows to identify both individual and group outliers and is based on a two phase-based algorithm. The first phase de... Read More about A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories.

Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection (2020)
Journal Article

This paper introduces a new model to identify collective abnormal human behaviors from large pedestrian data in smart cities. To accurately solve the problem, several algorithms have been proposed in this paper. These can be split into two categories... Read More about Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection.

A recurrent neural network for urban long-term traffic flow forecasting (2020)
Journal Article

This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent neural network approach, na... Read More about A recurrent neural network for urban long-term traffic flow forecasting.

DFIOT: Data Fusion for Internet of Things (2020)
Journal Article

In Internet of Things (IoT) ubiquitous environments, a high volume of heterogeneous data is produced from different devices in a quick span of time. In all IoT applications, the quality of information plays an important role in decision making. Data... Read More about DFIOT: Data Fusion for Internet of Things.

IoT-DMCP: An IoT data management and control platform for smart cities (2019)
Presentation / Conference Contribution

This paper presents a design and implementation of a data management platform to monitor and control smart objects in the Internet of Things (IoT). This is through IPv4/IPv6, and by combining IoT specific features and protocols such as CoAP, HTTP and... Read More about IoT-DMCP: An IoT data management and control platform for smart cities.

A novel parallel framework for metaheuristic-based frequent itemset mining (2019)
Presentation / Conference Contribution

Frequent Itemset Mining (FIM) is an important but very time-consuming data mining task. As a result, traditional FIM algorithms are often not scalable to large databases. To address this issue, several metaheuristics have been developed in recent yea... Read More about A novel parallel framework for metaheuristic-based frequent itemset mining.

Wireless energy efficient occupancy-monitoring system for smart buildings (2019)
Journal Article

© 2019 Elsevier B.V. Rationalizing energy consumption in smart buildings is considered in this paper, and a wireless monitoring system based on Passive Infrared sensors (PIRs) is proposed. The proposed system is pervasive and can be integrated in exi... Read More about Wireless energy efficient occupancy-monitoring system for smart buildings.

Machine learning for smart building applications: Review and taxonomy (2019)
Journal Article

© 2019 Association for Computing Machinery. The use of machine learning (ML) in smart building applications is reviewed in this article. We split existing solutions into two main classes: occupant-centric versus energy/devices-centric. The first clas... Read More about Machine learning for smart building applications: Review and taxonomy.

A Survey on Urban Traffic Anomalies Detection Algorithms (2019)
Journal Article

© 2019 IEEE. This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups solutions tha... Read More about A Survey on Urban Traffic Anomalies Detection Algorithms.

Frequent itemset mining in big data with effective single scan algorithms (2018)
Journal Article

© 2013 IEEE. This paper considers frequent itemsets mining in transactional databases. It introduces a new accurate single scan approach for frequent itemset mining (SSFIM), a heuristic as an alternative approach (EA-SSFIM), as well as a parallel imp... Read More about Frequent itemset mining in big data with effective single scan algorithms.

Adaptive learning-enforced broadcast policy for solar energy harvesting wireless sensor networks (2018)
Journal Article

© 2018 Elsevier B.V. The problem of message broadcast from the base station (BS) to sensor nodes (SNs) in solar energy harvesting enabled wireless sensor networks is considered in this paper. The aim is to ensure fast and reliable broadcast without d... Read More about Adaptive learning-enforced broadcast policy for solar energy harvesting wireless sensor networks.

Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases (2018)
Journal Article

© 2018 This paper investigates the use of GPU (Graphics Processing Unit) in improving the bees swarm optimization metaheuristic performance for solving the association rule mining problem. Although this metaheuristic proved its effectiveness, it requ... Read More about Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases.

Bee swarm optimization for solving the MAXSAT problem using prior knowledge (2017)
Journal Article

This paper explores rule decomposition for solving the MAXSAT problem. Four approaches are proposed to steer a bee swarm optimization metaheuristic. Two decomposition methods are proposed: direct and indirect. The first one applies the Kmeans algorit... Read More about Bee swarm optimization for solving the MAXSAT problem using prior knowledge.

Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach (2017)
Journal Article

This article explores advances in the data mining arena to solve the fundamental MAXSAT problem. In the proposed approach, the MAXSAT instance is first decomposed and clustered by using data mining decomposition techniques, then every cluster resulti... Read More about Data Mining-Based Decomposition for Solving the MAXSAT Problem: Toward a New Approach.

Temporal and spatial coherence verification in SMIL documents with hoare logic and disjunctive constraints: A hybrid formal method (2017)
Journal Article

© 2016 - Society for Design and Process Science. All rights reserved. The challenging problem of formal verification of SMIL (Synchronized Multimedia Integration Language Specification) documents is considered in this paper, where we propose a hybrid... Read More about Temporal and spatial coherence verification in SMIL documents with hoare logic and disjunctive constraints: A hybrid formal method.

Energy-Aware Constrained Relay Node Deployment for Sustainable Wireless Sensor Networks (2017)
Journal Article

© 2016 IEEE. This paper considers the problem of communication coverage for sustainable data forwarding in wireless sensor networks, where an energy-aware deployment model of relay nodes (RNs) is proposed. The model used in this paper considers const... Read More about Energy-Aware Constrained Relay Node Deployment for Sustainable Wireless Sensor Networks.

Energy Harvesting Aware Minimum Spanning Tree for Survivable WSN with Minimum Relay Node Addition (2017)
Presentation / Conference Contribution

Survivable wireless sensor networks that take advantage of green energy resources from the environment is considered in this paper. The particular problem of constrained relay nodes (RNs) placement to ensure communication coverage in the single-tiere... Read More about Energy Harvesting Aware Minimum Spanning Tree for Survivable WSN with Minimum Relay Node Addition.