@article {Achakir2021314,
	title = {Non-Model-Based approach for complete digitization by TLS or mobile scanner},
	journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
	volume = {178},
	year = {2021},
	note = {cited By 2},
	pages = {314-327},
	abstract = {This paper investigates automatic digitization with complete coverage of large and complex environments using a TLS or a mobile scanner. We propose an adaptive multi-objective view-planner that can operate in an unknown environment to provide guidance for the human operator and ease the scanning task or by a mobile robot for an automatic exploration of the environment. The proposed view-planner is adapted to environments where the sensor is operating on a flat surface such as office spaces, urban areas, open fields or in some cultural heritage applications. First, we propose an adaptive gap-based method to extract occluded areas in a point cloud, which is completely automated and does not require extensive computations in a large environment such as ray-tracing or level-set methods. Then, we introduce a novel exploration strategy that uses specific regions of the environment called {\textquotedblleft}Conservative-Cells{\textquotedblright} to drastically reduce the number of sensing positions to achieve complete digitization of the environment. Both methods were validated with simulated and real point clouds. The proposed approach has been applied to a scanner carried by a mobile robot, then to data acquired by a TLS used by a human operator in a large, complex environment. Experimental results on both TLS and mobile robot show that our view-planning approach is effective in finding a sequence of positions that leads to a complete reconstruction of the environment. Moreover, the proposed approach shows efficient performance in terms of coverage rate and computational time compared to others view-planning approaches as well as the results of an experienced human operator in a large, complex environment. {\textcopyright} 2021 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS)},
	keywords = {automation, Complex environments, cultural heritage, Digitisation, digitization, Human operator, instrumentation, Mobile robots, Mobile scanner, Model based approach, multiobjective programming, Next best view, Non-model-based, Numerical methods, Office buildings, Performance assessment, Personnel, Point-clouds, ray tracing, Remote sensing, Robot programming, robotics, Scanning, Seebeck effect, Simulation, urban area, Urban planning, View planning, Visibility analysis},
	doi = {10.1016/j.isprsjprs.2021.06.014},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109077721\&doi=10.1016\%2fj.isprsjprs.2021.06.014\&partnerID=40\&md5=32e85ee602b523c75ec0a6725ad46f50},
	author = {Achakir, F. and El Fkihi, S. and Mouaddib, E.M.}
}
@article {11273146620151201,
	title = {Hybrid Approach for Project Portfolio Selection Taking Account of Resources Management and Interactions between Projects.},
	journal = {Journal of Digital Information Management},
	volume = {13},
	number = {6},
	year = {2015},
	pages = {451 - 461},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the scoring model considers the financial value as an important criterion. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. The approach provides a phase control on two elements: the management of resources and interactions between projects. [ABSTRACT FROM AUTHOR]},
	keywords = {Blended learning, Financial management, Portfolio management (Investments), Project Portfolio Management, Resource Management, Resource management {\textendash} Research, Simulation, Strategic planning},
	issn = {09727272},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=112731466\&site=ehost-live},
	author = {Benaija, Khadija and Kjiri, Laila}
}
