Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, such as paperwork, investigative judges, and statistical analysis, are not efficient enough to predict the accurate time and location where the crime had taken place. But when machine learning and data mining methods were deployed in crime analysis, crime analysis and predication accuracy increased dramatically. In this study, various types of criminal analysis and prediction using several machine learning and data mining techniques, based on the percentage of an accuracy measure of the previous work, are surveyed and introduced, with the aim of producing a concise review of using these algorithms in crime prediction. It is expected that this review study will be helpful for presenting such techniques to crime researchers in addition to supporting future research to develop these techniques for crime analysis by presenting some crime definition, prediction systems challenges and classifications with a comparative study. It was proved though literature, that supervised learning approaches were used in more studies for crime prediction than other approaches, and Logistic Regression is the most powerful method in predicting crime.
Lyophilized bromelain enzyme was obtained from the Department of Food Sciences, College of Agricultural Engineering Sciences, University of Baghdad. Some properties of the enzyme were determined, the optimum temperature and pH for activity and stability, as it used a range of graduated temperatures from 25 °C to 85 °C, as well as a range of pH degrees from 4 to 9. The results showed that the best pH for activity was 7, as it reached the enzymatic activity was 42.3 units/ml, and the best pH range for stability was 7-5. The best temperature for the activity was 45°C, as the enzymatic activity reached 59.3 units/ml, and the enzyme retained its full activity after being incubated at a temperature of 25 - 45 °C. The anti-browning en
... Show MoreAdditive manufacturing (3D-printed) technology is a major advancement in prosthodontics, offering efficiency, cost-effectiveness, and the production of high-quality prostheses. Nanoparticles have been included in three-dimensional (3D) printed denture bases to enhance their physico-mechanical and biological characteristics. This work aims to examine the influences of adding calcium carbonate nanoparticles to 3D-printed denture base resins on their radio-opacity, wettability, and surface roughness.
The study aimed to identify the impact of the use of systemic approach in the collection of geographical material and cognitive motivation when fifth grade students of literary, experimental design researcher adopted a partial seizures, and telemetric to two unequal one experimental and the other officer.
The sample consisted of fifth grade literary students from secondary (inherent) for Boys in Baghdad (the Republic of Iraq. (By Mjootain, and the number of students of each group (30 students). And has rewarded the two groups, in the variables (chronological age, average scores half-year, degree IQ),
Promising researcher himself requirements of research to determine the scientific material and teaching plans and the formulation of
A simulation study is used to examine the robustness of some estimators on a multiple linear regression model with problems of multicollinearity and non-normal errors, the Ordinary least Squares (LS) ,Ridge Regression, Ridge Least Absolute Value (RLAV), Weighted Ridge (WRID), MM and a robust ridge regression estimator MM estimator, which denoted as RMM this is the modification of the Ridge regression by incorporating robust MM estimator . finialy, we show that RMM is the best among the other estimators
Several problems have emerged as a result of urban expansion or the connection of urban areas with rural areas. This process has led to the urbanization of rural areas, and to have overlapping edges and margins of areas, which were outside the basic design of the city. Accordingly, the present research assumes that the accelerating growth of Baghdad population has contributed significantly to the process of unplanned urbanization. Thus, the study aims to examine the factors that have led to an increase of urban sprawl at the expense of the agricultural land. The study has thus adopted the descriptive, analytical, and historical approaches relying on the simple linear regression method to predict the phenomenon of urban expansion and its
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