Hassan Jafarzadeh
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View article: Correct-by-construction requirement decomposition
Correct-by-construction requirement decomposition Open
View article: GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation Open
Domain adaptive semantic segmentation is the task of generating precise and dense predictions for an unlabeled target domain using a model trained on a labeled source domain. While significant efforts have been devoted to improving unsuper…
View article: A formal process of hierarchical functional requirements development for Set-Based Design
A formal process of hierarchical functional requirements development for Set-Based Design Open
The design of complex systems is typically uncertain and ambiguous at early stages. Set-Based Design is a promising approach to complex systems design as it supports alternative exploration and gradual uncertainty reduction. When designing…
View article: Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel
Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel Open
In this paper, we present a data-driven Model Predictive Controller that leverages a Gaussian Process to generate optimal motion policies for connected autonomous vehicles in regions with uncertainty in the wireless channel. The communicat…
View article: Gaussian Process-based Model Predictive Controller for Connected\n Vehicles with Uncertain Wireless Channel
Gaussian Process-based Model Predictive Controller for Connected\n Vehicles with Uncertain Wireless Channel Open
In this paper, we present a data-driven Model Predictive Controller that\nleverages a Gaussian Process to generate optimal motion policies for connected\nautonomous vehicles in regions with uncertainty in the wireless channel. The\ncommuni…
View article: DMPC: A data-and model-driven approach to predictive control
DMPC: A data-and model-driven approach to predictive control Open
View article: Learning Model Predictive Control for Connected Autonomous Vehicles
Learning Model Predictive Control for Connected Autonomous Vehicles Open
A Learning Model Predictive Controller (LMPC) is presented and tailored to platooning and Connected Autonomous Vehicles (CAVs) applications. The proposed controller builds on previous work on nonlinear LMPC, adapting its architecture and e…
View article: Correct-by-construction requirement decomposition
Correct-by-construction requirement decomposition Open
In systems engineering, accurately decomposing requirements is crucial for creating well-defined and manageable system components, particularly in safety-critical domains. Despite the critical need, rigorous, top-down methodologies for eff…
View article: A Dynamic Sustainable Competitive Petroleum Supply Chain Model for Various Stakeholders with Shared Facilities
A Dynamic Sustainable Competitive Petroleum Supply Chain Model for Various Stakeholders with Shared Facilities Open
Petroleum industry is the world's biggest energy source, and its associated industries such as production, distribution, refining and retail are considered as the largest ones in the world. Having the increasing price and governments job c…
View article: PAIM: Platoon-based Autonomous Intersection Management
PAIM: Platoon-based Autonomous Intersection Management Open
With the emergence of autonomous ground vehicles and the recent advancements in Intelligent Transportation Systems, Autonomous Traffic Management has garnered more and more attention. Autonomous Intersection Management (AIM), also known as…
View article: An Exact Geometry–Based Algorithm for Path Planning
An Exact Geometry–Based Algorithm for Path Planning Open
A novel, exact algorithm is presented to solve the path planning problem that involves finding the shortest collision-free path from a start to a goal point in a two-dimensional environment containing convex and non-convex obstacles. The p…
View article: An Enhanced Genetic Algorithm for the Generalized Traveling Salesman Problem
An Enhanced Genetic Algorithm for the Generalized Traveling Salesman Problem Open
The generalized traveling salesman problem (GTSP) deals with finding the minimum-cost tour in a clustered set of cities. In this problem, the traveler is interested in finding the best path that goes through all clusters. As this problem i…
View article: An Enhanced Genetic Algorithm For The Generalized Traveling Salesman Problem
An Enhanced Genetic Algorithm For The Generalized Traveling Salesman Problem Open
The generalized traveling salesman problem (GTSP) deals with finding the minimum-cost tour in a clustered set of cities. In this problem, the traveler is interested in finding the best path that goes through all clusters. As this problem i…
View article: Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach
Solving no-wait two-stage flexible flow shop scheduling problem with unrelated parallel machines and rework time by the adjusted discrete Multi Objective Invasive Weed Optimization and fuzzy dominance approach Open
Purpose: Adjusted discrete Multi-Objective Invasive Weed Optimization (DMOIWO) algorithm, which uses fuzzy dominant approach for ordering, has been proposed to solve No-wait two-stage flexible flow shop scheduling problem.Design/methodolog…