Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
[HTML][HTML] Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
[HTML][HTML] A novel bio-inspired optimization algorithm design for wind power engineering applications time-series forecasting
Wind patterns can change due to climate change, causing more storms, hurricanes, and
quiet spells. These changes can dramatically affect wind power system performance and …
quiet spells. These changes can dramatically affect wind power system performance and …
Green hydrogen production ensemble forecasting based on hybrid dynamic optimization algorithm
Solar-powered water electrolysis can produce clean hydrogen for sustainable energy
systems. Accurate solar energy generation forecasts are necessary for system operation and …
systems. Accurate solar energy generation forecasts are necessary for system operation and …
Innovative feature selection method based on hybrid sine cosine and dipper throated optimization algorithms
Introduction: In pattern recognition and data mining, feature selection is one of the most
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
crucial tasks. To increase the efficacy of classification algorithms, it is necessary to identify …
[PDF][PDF] Ensemble of Machine Learning Fusion Models for Breast Cancer Detection Based on the Regression Model.
Breast cancer is one of the deadliest cancers among women worldwide and one of the main
causes of mortality for women in the United States. Breast cancer can be detected earlier …
causes of mortality for women in the United States. Breast cancer can be detected earlier …
Classification of breast cancer using transfer learning and advanced al-biruni earth radius optimization
Breast cancer is one of the most common cancers in women, with an estimated 287,850 new
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
cases identified in 2022. There were 43,250 female deaths attributed to this malignancy. The …
[HTML][HTML] A novel artificial-intelligence-based approach for classification of Parkinson's disease using complex and large vocal features
Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …
[HTML][HTML] Wolf-Bird Optimizer (WBO): A novel metaheuristic algorithm for Building Information Modeling-based resource tradeoff
In the animal kingdom, a mutually-beneficial ecosystemic coexistence and partnership in
predation between wolves and ravens, known as the wolf-bird relationship, is observed in …
predation between wolves and ravens, known as the wolf-bird relationship, is observed in …
Integrating K-Means clustering and Levenshtein distance and K-nearest neighbor algorithms for enhanced Arabic sentiment analysis
Arabic sentiment analysis (ASA) is a challenging field due to the complexity of the Arabic
language. Although there have been some studies on ASA, the number of such studies is …
language. Although there have been some studies on ASA, the number of such studies is …