organism
发表于 2025-3-27 00:28:43
Ibrahim Yazici,Emre Ariity of criminological research conducted in the United States has increased enormously, but adequate knowledge about crime causation has not increased proportionately. Particularly prior to the last quarter of the nineteenth century, most men who advanced theories about crime causation did so in an
漂亮才会豪华
发表于 2025-3-27 05:03:14
Mert Candar,Alp Üstündağh of the theory’s popularity probably has arisen from its negative implications, namely that criminality and delinquency are not biological, psychological or climatic phenomenon. Similarly, many of the criticisms reported in Chapter V seem to be addressed more to this negative implication than towar
宽度
发表于 2025-3-27 06:22:10
Meltem Sanisoğlu,Tolga Kaya,Şebnem Burnazh of the theory’s popularity probably has arisen from its negative implications, namely that criminality and delinquency are not biological, psychological or climatic phenomenon. Similarly, many of the criticisms reported in Chapter V seem to be addressed more to this negative implication than towar
PRO
发表于 2025-3-27 10:59:28
Altan Cakir,Emre Ozkaya,Fatih Akkus,Ezgi Kucukbas,Okan Yilmazm arrest to adjudication to out-of-home placement to detenti.Traditionally, delinquent girls were considered an anomaly, a rare phenomenon attracting little scholarly notice. Today, more than one in four youth offenders is female, and researchers and practitioners alike are quickly turning their att
SUE
发表于 2025-3-27 13:47:33
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Diuretic
发表于 2025-3-27 19:47:20
Conference proceedings 2022ieties, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from
BLA
发表于 2025-3-27 23:05:48
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忘恩负义的人
发表于 2025-3-28 02:31:16
Prediction of Gross Movie Revenue in the Turkish Box Office Using Machine Learning Techniquesdge regression and the lasso, tree-based methods including random forest and boosting, SVM and KNN regression. All models were built using the R programming language. Methods were compared using their MSE values. The lowest MSE was obtained with the Random Forest model.
harpsichord
发表于 2025-3-28 07:11:06
An Improved Animal Migration Optimization Approach for Extreme Learning Machine Tuninguggested algorithm was tested on 7 well-recognized classification benchmarking datasets and compared with the basic animal migration optimization metaheuristics and other techniques developed thus far. According to experimental findings, proposed approach obtains improved generalization performance
眨眼
发表于 2025-3-28 14:22:03
Store-based Demand Forecasting of a Company via Ensemble Learningle learning algorithms and traditional machine learning algorithms were compared. To improve the results obtained, hyperparameter optimization was applied to the most successful algorithms and increased prediction success.