SRT-GA: Smart real-time system using a powerful genetic algorithm for school bus routing problem

Al-Khatib, Ra’ed M.; Nahar, Khalid M.O.

doi:10.1109/it-dreps.2017.8277816

Cited by 3 publications

(1 citation statement)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, it will help the authorities of Figure 1. Biometric modalities that are most widely used in several applications from [8] public safety to find specific wanted people like suspected terrorists, missing children, and wanted criminals [9]. The main two phases to execute the facial recognition process are the face detection and the face recognition [6].…”

Section: Introductionmentioning

confidence: 99%

Twins and Similar Faces Recognition Using Geometric and Photometric Features with Transfer Learning

Nahar¹,

Abul-Huda²,

bataineh³

et al. 2022

IJCDS

Self Cite

View full text Add to dashboard Cite

Twins recognition and identification is one of the important challenges in the field of image processing. The strong similarity between identical twins makes it hard to distinguish the twin from his/her sibling. Similarities come from biometric, geometric, and photometric features. In biometric patterns, the fingerprints found to be identical in some cases, geometrically, the twins' faces rarely differ which confuses people. Photometric features are very close to each other even though they rarely success in twins' recognition. We tackle this challenge by a model for twin's face recognition (FR) where our solution is based on deep transfer learning in terms of residual neural networks including two VGG16 trained networks, which are considered to be one of the powerful and deeply learned neural networks. For comparison purposes, we check other approaches to solve the twins' problem including iris, fingerprints, and lip corners. The data used was collected from Google which is a challenge. Data contains 4-pairs of twins with the 17-different position for each one which produces 5×2×17 (170) different images. Collected images were used for comparisons between features. Results show that geometrical features gave 85% of success while photometric features gave 96%. By hybridizing geometrical and photometric features together, the results reach 98% of accuracy. Biometric measures, in this research, prove the superiority of deeply transferring learning over traditional methods. The newly achieved method could be replaced to assist authentication systems that fully depend on biometric features.

show abstract

Section: Introductionmentioning

confidence: 99%

Twins and Similar Faces Recognition Using Geometric and Photometric Features with Transfer Learning

Nahar¹,

Abul-Huda²,

bataineh³

et al. 2022

IJCDS

Self Cite

View full text Add to dashboard Cite

show abstract

School Zone Mapping Based on Education and Population Data Using Genetic Algorithm

Rofidah,

Puspito Wulandari,

Kurniawan

2024

2024 International Seminar on Intelligent Technology and Its Applications (ISITIA)

View full text Add to dashboard Cite

Circular Jaccard distance based multi-solution optimization for traveling salesman problems

Zhang

Zeng

2022

MBE

View full text Add to dashboard Cite

<abstract><p>Traveling salesman problem is a widely studied NP-hard problem in the field of combinatorial optimization. Many and various heuristics and approximation algorithms have been developed to address the problem. However, few studies were conducted on the multi-solution optimization for traveling salesman problem so far. In this article, we propose a circular Jaccard distance based multi-solution optimization (CJD-MSO) algorithm based on ant colony optimization to find multiple solutions for the traveling salesman problem. The CJD-MSO algorithm incorporates "distancing" niching technique with circular Jaccard distance metric which are both proposed in this paper for the first time. Experimental results verify that the proposed algorithm achieves good performance on both quality and diversity of the optimal solutions.</p></abstract>

show abstract

SRT-GA: Smart real-time system using a powerful genetic algorithm for school bus routing problem

Cited by 3 publications

References 47 publications

Twins and Similar Faces Recognition Using Geometric and Photometric Features with Transfer Learning

Twins and Similar Faces Recognition Using Geometric and Photometric Features with Transfer Learning

School Zone Mapping Based on Education and Population Data Using Genetic Algorithm

Circular Jaccard distance based multi-solution optimization for traveling salesman problems

Contact Info

Product

Resources

About