Stochastic optimisation of unmanned aerial vehicle assisted package delivery planning by Sawadsitang, Suttinee

“…In this thesis, I introduce (i) the joint ground and aerial delivery service optimisation and planning (GADOP) framework, (ii) multi-objective optimisation for drone delivery (MODD) framework, and (iii) Bayesian Shipper Cooperation in Stochastic Drone Delivery (BCoSDD) framework, which all of them explicitly incorporate uncertainty of drone package delivery, i.e., take-off and breakdown conditions. …”
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Intention to purchase family takaful: An extension of decomposed theory of planned behavior by Qazi, Mansoor Ahmad, Md Husin, Maizaitulaidawati

“…Further, this study tries to find out the validity and extension of DTPB (decomposed theory of planned behaviour). Therefore, attitude, subjective norm, and perceived behavioral control were taken as variables. …”
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The future of the timeshare industry : will the brands dominate? : A summary of the vacation ownership industry and an analysis of the advantages that the brands have over smaller... by Bornstein, Ethan S., 1973-

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Risk assessment model for UAV cost-effective path planning in urban environments by Hu, Xinting, Pang, Bizhao, Dai, Fuqing, Low, Kin Huat

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Relay coordination planning for high photovoltaic penetration using preset-time method by Abdulkareem, Ahmed Abduljabbar, Md. Rasid, Madihah, Jamian, Jasrul Jamani, Md. Sapari, Norazliani

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A discrete event formulation for multi-robot collision avoidance on pre-planned trajectories by Deplano, Diego, Franceschelli, Mauro, Ware, Simon, Rong, Su, Giua, Alessandro

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What motivates parents to mediate children’s use of smartphones? An application of the theory of planned behavior by Shin, Wonsun, Kim, Hye Kyung

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A bi-level probabilistic path planning algorithm for multiple robots with motion uncertainty by Wang, Jingchuan, Tai, Ruochen, Xu, Jingwen

“…And in the route level, a MDP method combined with probability of motion uncertainty is proposed to plan path for all robots in each district separately. …”
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Production planning for cloud-based additive manufacturing—A computer vision-based approach by Wang, Yuanbin, Zheng, Pai, Xu, Xun, Yang, Huayong, Zou, Jun

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Planning for Post Disaster Recovery: Lesson Learnt from Flood Events in Kelantan Malaysia by Wan Mohd Rani, Wan Nurul Mardiah, Abdul Nifa, Faizatul Akmar, Ismail, Mohd Noorizhar, Khalid, Khairin Norhashidah

“…This is to ensure that all aspects are being considered and to be more effective in managing the situation…”
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Behavioral characterization of critical thinking in higher education: perspectives from the theory of planned behavior by Ma, Bohao, Li, Zhaotong, Sun, Shanshan, Teo, Chee-Chong

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Planning for Post Disaster Recovery: Lesson Learnt from Flood Events in Kelantan Malaysia by Wan Mohd Rani, Wan Nurul Mardiah, Abdul Nifa, Faizatul Akmar, Ismail, Mohd Noorizhar, Khalid, Khairin Norhashidah

“…This is to ensure that all aspects are being considered and to be more effective in managing the situation…”
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Love and Other Words / by Lauren, Christina, author 593883, Little, Brown Book Group (Online service) 655987

“…Macy Sorensen is settling into an ambitious if emotionally tepid routine: work hard as a new pediatrics resident, plan her wedding to an older, financially secure man, keep her head down and heart tucked away. …”
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A machine learning approach on past ADS-B data to predict planning controller’s actions by Pham, Duc-Thinh, Alam, Sameer, Su, Yi-Lin, Duong, Vu N.

“…The D-side controller is responsible for processing flight plan information to plan and organize the flow of traffic entering the sector. …”
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Enterprise resource planning (ERP) application : a case study of a local construction company by Dnyandeo Dadarao, Gaikwad

“…Enterprise Resource Planning (ERP) is such a strategic tool, it helps to gain competitive edge by integrating all business processes and optimizing the resources available.…”
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On the design of energy storage systems for the smoothing and dispatch planning of large-scale wind power generation by Li, Mengting

“…Focusing on low-frequency wind power for dispatch planning is a distinct advantage over the dispatch planning methods proposed by other researchers. …”
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Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks by Gong, Shimin, Wang, Meng, Gu, Bo, Zhang, Wenjie, Hoang, Dinh Thai, Niyato, Dusit

“…Different UAVs can adapt their trajectories and network formation to expedite data transmissions via multi-hop relaying. The trajectory planning aims to collect all GUs' data, while the UAVs' network formation optimizes the multi-hop UAV network topology to minimize the energy consumption and transmission delay. …”
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Understanding Environmental Knowledge Sharing Behaviour Using a Modified Theory of Planned Behaviour (S/O 13603) by Muhammad Jamil, Che Zuriana, Mohamed, Rapiah, Abd Mutalib, Hafizah

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Impact of the economic environment modelling for the optimal design of a multi-energy microgrid by Rigo-Mariani, Rémy, Ooi, Sean Chea Wae, Mazzoni, Stefano

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A preliminary path planning algorithm for the last-mile delivery by an unmanned aerial vehicle in urban town areas by Zhang, Mingcheng, Low, Kin Huat

“…This paper presents a novel 3D path planning algorithm that is applicable to the last mile (LM) delivery in an urban environment. …”
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