activity
20202025
most citedA Comprehensive Survey on the Internet of Things with the Industrial Marketplace

121 citations · 288 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CY2025★ 2 cited

Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma

Omer Aydin, Enis Karaarslan, Fatih Safa Erenay +1

DeepSeek v3, developed in China, was released in December 2024, followed by Alibaba's Qwen 2.5 Max in January 2025 and Qwen3 235B in April 2025. These free and open-source models o…

cs.NE2023★ 11 cited

Fitness Dependent Optimizer with Neural Networks for COVID-19 patients

Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan +4

The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected global health and become a huge burden on health institutions all over the world. Th…

cs.CV2022★ 24 cited

Kurdish Handwritten Character Recognition using Deep Learning Techniques

Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5

Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…

cs.NE2022★ 8 cited

Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem

Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4

Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…

cs.NE2022★ 37 cited

Harmony Search: Current Studies and Uses on Healthcare Systems

Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon +13

One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory…

cs.NE2022★ 1 cited

Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation

Aso M. Aladdin, Jaza M. Abdullah, Kazhan Othman Mohammed Salih +7

This discusses a case study on Fitness Dependent Optimizer or so-called FDO and adapting its parameters to the Internet of Things (IoT) healthcare. The reproductive way is sparked…

cs.NI2022★ 121 cited

A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

Kazhan Othman Mohammed Salih, Tarik A. Rashid, Dalibor Radovanovic +1

There is no doubt that new technology has become one of the crucial parts of most people's lives around the world. By and large, in this era, the Internet and the Internet of Thing…

cs.NE2022★ 8 cited

Using Fitness Dependent Optimizer for Training Multi-layer Perceptron

Dosti Kh. Abbas, Tarik A. Rashid, Karmand H. Abdallaand Nebojsa Bacanin +1

This study presents a novel training algorithm depending upon the recently proposed Fitness Dependent Optimizer (FDO). The stability of this algorithm has been verified and perform…

cs.NE2021★ 4 cited

An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants

Tarik A. Rashid, Chra I. Shekho Toghramchi, Heja Sindi +5

One popular example of metaheuristic algorithms from the swarm intelligence family is the Bat algorithm (BA). The algorithm was first presented in 2010 by Yang and quickly demonstr…

cs.AI2021★ 25 cited

A New K means Grey Wolf Algorithm for Engineering Problems

Hardi M. Mohammed, Zrar Kh. Abdul, Tarik A. Rashid +2

Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field of business, science, and engineering. One of the common meta…

cs.MA2020★ 3 cited

An Improved Simulation Model for Pedestrian Crowd Evacuation

Danial A. Muhammed, Tarik A. Rashid, Abeer Alsadoon +4

This paper works on one of the most recent pedestrian crowd evacuation models, i.e., "a simulation model for pedestrian crowd evacuation based on various AI techniques", developed…

cs.NE2020★ 44 cited

A survey on dragonfly algorithm and its applications in engineering

Chnoor M. Rahman, Tarik A. Rashid, Abeer Alsadoon +3

The dragonfly algorithm was developed in 2016. It is one of the algorithms used by researchers to optimize an extensive series of uses and applications in various areas. At times,…