EMB-YOLO: A Lightweight Object Detection Algorithm for Isolation Switch State Detection by Haojie Chen, Lumei Su, Riben Shu, Tianyou Li, Fan Yin

Get full text

Acceptance testing of a CT scanner with a knowledge-based iterative reconstruction algorithm by Maryangel Jhoseline Medina, Francisco Javier Funes, Aley Palau, Vanesa María Sanz, Amilcar Remigio Osorio, Mauro Namías

“… Implementation of efficient computed tomography (CT) detectors, automatic exposure control and iterative reconstruction algorithms allows to obtain high quality images while minimizing absorbed dose to the patients, in consonance with the ALARA criterion. …”
Get full text

A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

“…Inspired by this, we propose a Similarity-based Multi-Objective Optimization Technique (SMOOT) for test suite reduction using a Grey Wolf Optimizer (GWO) algorithm. The proposed technique employs different similarity metrics, including Cosine Similarity, Euclidean Distance, Jaccard Similarity, Manhattan Distance, and Minkowski Distance, to evaluate the similarity score of the tests. …”
Get full text

Multistep PV power forecasting using deep learning models and the reptile search algorithm by Sameer Al-Dahidi, Hussein Alahmer, Bilal Rinchi, Abdullah Bani-Abdullah, Mohammad Alrbai, Osama Ayadi, Loiy Al-Ghussain

“…However, this is the first study to evaluate MGU in the context of PV forecasting, and its performance may vary under different case studies. …”
Get full text

Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…Through comparative analysis, data evaluation, and experimental observations, it becomes evident that the integrated algorithm, which combines both approaches, enhances the accuracy of bedload particle and trajectory identification under moderate to low flow conditions. 2)Under conditions of moderate to low flow intensity, the motion intensity of bedload sediment particles is influenced by coherent turbulent structures, resulting in a laterally banded structure. …”
Get full text

Algorithms for Load Balancing in Next-Generation Mobile Networks: A Systematic Literature Review by Juan Ochoa-Aldeán, Carlos Silva-Cárdenas, Renato Torres, Jorge Ivan Gonzalez, Sergio Fortes

“…Our classification framework provides a basis for operators to evaluate algorithmic trade-offs in scenarios such as network fragmentation or edge computing. …”
Get full text

Image Enhancement Techniques for Images at Blur Motion and Different Noises by Sahlah Ali

“…The images get degraded due to environmental conditions and atmospheric difference, it is therefore important to retrieve original images using different algorithms of image processing. …”
Get full text

Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss by Rui Zhang, Yuanbing Guo, Xiaonan Zhai, Juan Wang, Xiaoyan Hao, Liu Yang, Lei Zhou, Jiawei Gao, Jiayun Liu

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.ResultsMultivariate analysis revealed significant differences in several factors between the patients and the control group. 25-hydroxy vitamin D3 (25OHVD3) was the factor exhibiting the most prominent difference, and most patients presented deficiency in the levels of this vitamin. 25OHVD3 is associated with blood lipids, hormones, thyroid function, human papillomavirus infection, hepatitis B infection, sedimentation rate, renal function, coagulation function, and amino acids in patients with infertility. …”
Get full text

Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis by Qiqi Yan, Guiling Liu, Ruifeng Wang, Dandan Li, Xiaoli Chen, Jingjing Cong, Deguang Wang

“…Conclusion The RSF model may be a useful method for evaluating CVE risk in PD patients.…”
Get full text

Sunflower-based butterfly optimization algorithm with enhanced RNN for the harmonics elimination in multilevel inverter by V. Mohan, G. Krithiga, M. Thamil Alagan, V. Sathya

“…In this paper, the Sunflower based– Butterfly Optimization Algorithm (SF-BOA) is presented as a method for evaluating transcendental nonlinear equations using an MLI in a SHE approaches. …”
Get full text

Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…This study presents the implementation of a scalar transport algorithm in the recently developed General Ocean Model (GOM), a three-dimensional, unstructured grid, finite volume/finite difference model. …”
Get full text

Machine heuristic in algorithm aversion: Perceived creativity and effort of output created by or with artificial intelligence by Sigurd Birk Heimstad, Anders Hauge Wien, Tarje Gaustad

“…Products and services labeled as AI-created are perceived differently than identical ones attributed to humans, reflecting the phenomenon of algorithm aversion. …”
Get full text

Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

Get full text

Enhanced Framework for Lossless Image Compression Using Image Segmentation and a Novel Dynamic Bit-Level Encoding Algorithm by Erdal Erdal, Alperen Önal

“…A dedicated data structure was developed to facilitate lossless storage and precise reconstruction of compressed data, ensuring data integrity throughout the process. The evaluation results showed that the DEA outperformed all benchmark encoding algorithms, achieving an improvement percentage (IP) value of 45.12, indicating its effectiveness as a highly efficient encoding method. …”
Get full text

Performance Evaluation Method of Online Charging System by Jinjuan Zhang, Na Chen, Hong Hu, Xinyi Xu

“…A set of performance evaluation method for different test scenarios of OCS was proposed, which provided an effective algorithm to evaluate the performance indicators of different test scenarios. …”
Get full text

Navigation Aids Performance Evaluation for Precision Approaches by Pier Domenico Tromboni, Giovanni B. Palmerini

“…The paper deals with the evaluation of the expected performance of aircraft approaches and landings operated with different navigation systems, both traditional and satellite-based. …”
Get full text

Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Concerns about race correction compounding health inequities have led many medical organizations to re-evaluate their algorithms, with some removing race entirely. …”
Get full text

Legendre based neural networks integrated with heuristic algorithms for the analysis of Lorenz chaotic model: an intelligent and comparative study by Khalid Masood, Muhammad Arshad, Muhammad Abubakar, Muhammad Naeem Aslam, Mohammed A. Alghamdi, Sultan H. Almotiri

“…This design approach is employed to Lorenz model across three (3) different scenarios using various step sizes and input intervals. …”
Get full text

Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

Get full text

INVERSION OF PARAMETERS FOR COMPOSITE INTERLAYER COHESIVE ZONE MODEL BY USING ARTIFICIAL BEE COLONY ALGORITHM by RAO YuWen, LIN RenBang, YANG YanZhi, YAN Gang

“…Numerical and experimental results have demonstrated that,ABC algorithm has better convergence and optimization ability than genetic（ GA） algorithm and particle swarm optimization（ PSO） algorithm; it has certain anti-noise capability that can optimally obtain the CZM parameters under different levels of measurement noise,and the simulated load-displacement data with the inversely identified parameters match the actual test ones well.…”
Get full text