Named entity recognition (NER) is a subfield of natural language processing (NLP). It able to identify proper nouns, such as person names, locations, and organizations, has been widely used in various tasks. NER can be practical extracting information from social media data. However, the unstructured noisy nature (such grammatical errors typos) causes new challenges for NER, especially low-reso...

arguably, the natural gas transmission pipeline infrastructure in iran represents one of the largest andmost complex mechanical systems in the world. the optimization of large gas trunk lines known asigat results in reduced fuel consumption or higher capability and improves pipeline operation. in thecurrent study, a single-objective optimization was conducted for khormoj compressor station on t...

This paper proposes a novel approach called the Harris’s Hawk Multi-Objective Optimizer (HHMO), which is used for solving reference point multi-objective problems. This algorithm is based on the grey wolf multi-objective optimization algorithm and motivated by the cooperative hunting behaviors of the Harris’s Hawk. These hawks are known as the wolf pack of the sky. The hunting party consists of...

The first step in the design phase of Brushless Direct Current (BLDC) motor is formulation mathematical framework and often used due to its analytical structure. Therefore, BLDC problem considered be an optimization problem. In this paper, model presented, it a basis for emphasizing methods. experimentation has 78 non-linear equations, two objective functions, five variables, six constraints, s...

Background and Aim: One of the complex processes in the Ministry of Health and Medical Education in Iran is the process of registering pharmaceutical supplies. Currently the registration process is a multi-stage process, resulting in parallel services, a waste of time and unnecessary expenses. Therefore, an integrated system will improve the relevant service delivery. The purpose of this study ...

In this article, a multi-objective planning is demonstrated for reactive power compensation in radial distribution networks with wind generation via unified power quality conditioner (UPQC). UPQC model, based on phase angle control (PAC), is used. In presented method, optimal locating of UPQC-PAC is done by simultaneous minimizing of objective functions such as: grid power loss, percentage of n...

With the rapid development of economy, disparity between supply and demand resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm proposed (IGWO) to optimize design problems. First, a tent map used generate initial location population, which evenly distributes population lays foundation for diversified global search proces...

this paper considers the job scheduling problem in virtual manufacturing cells (vmcs) with the goal of minimizing two objectives namely, makespan and total travelling distance. to solve this problem two algorithms are proposed: traditional non-dominated sorting genetic algorithm (nsga-ii) and knowledge-based non-dominated sorting genetic algorithm (kbnsga-ii). the difference between these algor...