Military Academy

About: Military Academy is a based out in . It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 2478 authors who have published 3003 publications receiving 33188 citations.

Recent advances in silver bromide-based Z-scheme photocatalytic systems for environmental and energy applications: A review

Abstract: Development of artificial Z-scheme hybrid with remarkably high efficiency in the visible-light is an apparent way for preventing energy and environmental crises The present-day scenario in resolving water scarcities persistently all over the globe is an exploitation of reasonably low-cost routes to upkeep sustainability In this concern, silver bromide (AgBr) with other Z-scheme photo-active materials to modify an efficient visible-light driven photocatalyst has prompted an avalanche in the realm of photocatalysis Deliberating great execution and well-expressed development in the exploitation of AgBr based Z-scheme photo-active materials, we here present a comprehensive and rationalized study for energy and environmental applications A profound outline covering conventional photocatalysis alongside Z-scheme systems have been considered about their superficial synthetic methods and application in the environmental remediation With face-lift approaches, AgBr grounded Z-scheme systems specify wide range visible light absorption and effective spatial separation of created carriers, ensuing in efficient photocatalytic performance The mechanism assuming photo-carriers relocation and separation alongside the production of reactive species in the photodegradation process has also been emphasized and reviewed Conclusively, an across-the-board final remark is offered vis-a-vis current studies and future viewpoints for the progress of AgBr loaded Z-scheme photocatalysis

Application of Convolutional Neural Network in Natural Language Processing

Abstract: Convolutional neural network (Convolutionl Neural Network, CNN) is a multiple-layer neural network method to learn hierarchical characteristic of data. In recent years, CNN has developed rapidly in the design and calculation of natural language processing (NLP). This paper introduces the principles models and applications of CNN in natural language processing tasks and presents some personal insights into the use of CNN methods in NLP task processing.

Decision Tree-Based Classification Model for Identification of Effective Leadership Indicators

Abstract: This study was aimed at identifying effective leadership abilities as appreciated by soldiers in the Lithuanian armed forces Leader behavior was measured using an adapted version of the Leader Behavior Description Questionnaire (LBDQ), which was originally developed by Andrew W Halpin from Ohio State University Data were collected from soldiers holding different ranks and doing professional military service in all units of the Lithuanian armed forces and were analyzed using the IBM SPSS version 20 software application For our data analysis, the Chi-square Automatic Interaction Detector (CHAID) decision tree growing method was used with three class dependent variables The CHAID algorithm helped in specifying the best splits for each of twelve potential predictors and then select the predictors whose splits presented the most serious differences in the sub-populations of the sample In the Chi-squared significance test, the lowest p-value was achieved The model structures obtained after analysis are presented