Combining an improved political optimizer with convolutional neural networks for accurate anterior cruciate ligament tear detection in sports injuries DOI Creative Commons
Wei Hu, Saeid Razmjooy

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 26, 2025

A new technique has been developed to identify ACL tears in sports injuries. This method utilizes a Convolutional Neural Network (CNN) combination with modified Political Optimizer (IPO) algorithm, resulting major breakthrough detecting tears. The study provides an innovative approach this type of injury. CNN/IPO surpasses traditional optimization techniques, ensuring precise and timely detection the potential significantly improve treatment results, enabling clinicians intervene promptly effectively, leading enhanced recovery rehabilitation for athletes. integration CNN IPO algorithm unparalleled level accuracy efficiency identifying tears, facilitating more tailored strategies sports-related findings have revolutionize way medical professionals musculoskeletal injuries, enhancing overall well-being athletic performance. research's significance extends beyond medicine, illuminating avenues management paving advancements injury diagnosis treatment.

Язык: Английский

Novel gooseneck barnacle optimization a nature inspired technique for optimizing reactive power within systems of power with electric vehicles DOI Creative Commons

Juntao Zhuang,

Chengwei Wang,

Qiong Cheng

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 21, 2025

The significance of ORPD (Optimal Reactive Power Dispatch) cannot be emphasized within the operation power systems, particularly according to growing use electric vehicles (EVs). Electric (EVs) have potential influence grid via their ability augment demand and function as distributed energy resources. effective administration Optimal Renewable Dispatch (ORPD) in conjunction with Vehicle (EV) integration necessitates meticulous examination charging schedules, battery capacity, desired state charge. In current paper, a novel optimizer known Novel Gooseneck Barnacle Optimization (NGBO) algorithm is introduced address problem presence Vehicles NGBO draws inspiration from regular mating behavior gooseneck barnacles involving self-fertilization casting sperm. To evaluate its performance, applied two standard exam including IEEE 118- 57-system bus, considering various scenarios EV penetration. experimental outcomes demonstrate effectively mitigates active loss voltage variation surpassing several existing metaheuristic optimization techniques by reducing up 15% deviation 10% compared traditional methods, demonstrating effectiveness method handling EV-related uncertainties.

Язык: Английский

Процитировано

0
Combining an improved political optimizer with convolutional neural networks for accurate anterior cruciate ligament tear detection in sports injuries DOI Creative Commons
Wei Hu, Saeid Razmjooy

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 26, 2025

A new technique has been developed to identify ACL tears in sports injuries. This method utilizes a Convolutional Neural Network (CNN) combination with modified Political Optimizer (IPO) algorithm, resulting major breakthrough detecting tears. The study provides an innovative approach this type of injury. CNN/IPO surpasses traditional optimization techniques, ensuring precise and timely detection the potential significantly improve treatment results, enabling clinicians intervene promptly effectively, leading enhanced recovery rehabilitation for athletes. integration CNN IPO algorithm unparalleled level accuracy efficiency identifying tears, facilitating more tailored strategies sports-related findings have revolutionize way medical professionals musculoskeletal injuries, enhancing overall well-being athletic performance. research's significance extends beyond medicine, illuminating avenues management paving advancements injury diagnosis treatment.

Язык: Английский

Процитировано

0