Milliam Maxime Zekeng Ndadji

ORCID: 0000-0002-0417-5591
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About
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Research Areas
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Access Control and Trust
  • IoT and Edge/Fog Computing
  • Model-Driven Software Engineering Techniques
  • Advanced Database Systems and Queries
  • Insect symbiosis and bacterial influences
  • Robotics and Automated Systems
  • Entomopathogenic Microorganisms in Pest Control
  • Scientific Computing and Data Management
  • Advanced Frequency and Time Standards
  • Insect and Arachnid Ecology and Behavior
  • Multi-Agent Systems and Negotiation
  • Time Series Analysis and Forecasting
  • Advanced Text Analysis Techniques
  • Logic, programming, and type systems
  • Distributed systems and fault tolerance

Université de Dschang
2018-2024

Integrated Pest Management (IPM) technologies offer effective solutions to reduce the negative effects of crop pests while considering human and environmental health. However, disseminating these faces several barriers, with one most significant being lack farmer awareness regarding their availability, deployment, uptake. Digital tools are perceived as a new form leverage for overcoming barriers. This study analyzes current IPM digital potential boost farmers' deployment adoption...

10.1016/j.compag.2023.108526 article EN cc-by Computers and Electronics in Agriculture 2023-12-27

In Business Process Management (BPM), process modelling has been solved in various ways. However, there are no commonly accepted tools (languages). Some of them criticized for their inability to capture both the lifecycle, informational and organizational models processes. For some others, is generally done using a single graph; this does not facilitate modularity, maintenance scalability. addition, these languages very general; hence, application specific domain processes (such as...

10.55969/paradigmplus.v1n3a1 article EN cc-by ParadigmPlus 2020-10-25

Data mining, particularly the analysis of multivariate time series data, plays a crucial role in extracting insights from complex systems and supporting informed decision-making across diverse domains. However, assessing similarity data presents several challenges, including dealing with large datasets, addressing temporal misalignments, need for efficient comprehensive analytical frameworks. To address all these we propose novel integrated computational approach known as Multivariate Time...

10.48550/arxiv.2403.11044 preprint EN arXiv (Cornell University) 2024-03-16

Efficient emergency response systems are crucial for smart cities. But their implementation is highly challenging, particularly in regions like Chad where infrastructural constraints prevalent. The urgency optimized times and resource allocation scenarios magnified these contexts, yet existing solutions often assume robust infrastructure uninterrupted connectivity, which not always available. Most of the time, they based on system architectures pre-designed other purposes. This paper...

10.55969/paradigmplus.v5n2a1 article EN cc-by ParadigmPlus 2024-08-02

In an asynchronous cooperative editing workflow of a structured document, each the co-authors receives in different phases process, copy document to insert its contribution. For confidentiality reasons, this may be only partial replica containing parts (global) which are demonstrated interest for considered co-author. Note that some over co-author; they will therefore accessible concurrently. When it's synchronization time (e.g. at end phase process), we want merge all contributions authors...

10.4236/jsea.2017.105025 article EN cc-by Journal of Software Engineering and Applications 2017-01-01

Éditeurs: Mathieu Roche, Nabil Gmati, Amel Ben Abda, Marcellin Nkenlifack Workflow languages are a key component of the Business Process Management (BPM) discipline: they used to model business processes in order facilitate their automatic management by means BPM systems. There numerous workflow addressing various issues (expressiveness, formal analysis, etc.). In last decade, some based on context-free grammars (having then semantics) and offering new perspectives process modelling, have...

10.46298/arima.11183 article FR cc-by Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées 2023-07-05

In Business Process Management (BPM), process modelling has been solved in various ways. However, there are no commonly accepted tools (languages). Some of them criticized for their inability to capture both the lifecycle, informational and organizational models processes. For some others, is generally done using a single graph; this does not facilitate modularity, maintenance scalability. addition, these languages very general; hence, application specific domain processes (such as...

10.48550/arxiv.2010.13347 preprint EN cc-by arXiv (Cornell University) 2020-01-01

In this thesis, we focus on the proposal of distributed workflow systems dedicated to automation administrative business processes. We propose an approach build such by relying concepts multiagent systems, Peer (P2P) architecture, Service-Oriented Architecture (SOA) and structured documents (artifacts) cooperative edition. Indeed, develop mathematical tools that allow any designer, express each process in form attributed grammar whose symbols represent tasks be executed, productions specify...

10.48550/arxiv.2106.00041 preprint EN cc-by arXiv (Cornell University) 2021-01-01

During the last two decades, decentralized execution of business processes has been one main research topics in Business Process Management. Several models (languages) for processes' specification order to facilitate their distributed execution, have proposed. LSAWfP is among most recent this area: it helps specify administrative with grammatical indicating, addition fundamental elements, permissions (reading, writing and execution) each actor relation tasks. In paper, we present a model...

10.48550/arxiv.2102.10566 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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