درخت حوزه‌های تخصصی

The purpose of this study is a new understanding behaviour and net cash flow forecasting. The data of this research contains the daily trial balance for one year, which has been received from 48 bank branches. For this purpose, the optimal model out of 4 models; Geometric Brownie, Arithmetic Brownie, Vasicek and Modified Square Root at three levels of microscopic, mesoscopic and macroscopic have been investigated and the Geometric Brownie model has been approved as the optimal model in microscopic level . The results show that Geometric Brownian Motion model can simulate the net cash flow highly accurate in accordance with the criteria of mean absolute percentage error. also forecasting net cash flow for each under study time series has been done in various forecasting horizons involved 7, 14, 21, 30, 60, 90 and 180 day time period accordance with the criteria of mean absolute percentage error. Also The other results obtained from this study is that according to 8 different prediction accuracy criteria, By increasing the forecast hori-zon, ability of the GBM model in simulation and forecasting the net cash flow de-creases.

Over time, the use of underground spaces has changed and has been considered for various other purposes. Many US1 built for a specific period with a specific purpose have been left without a specific function today. The reason for this can be considered the lack of a clear and codified plan in the face of these spaces. Therefore, the importance of underground issues related to US jus tifies the inclusion of UUS2 in urban index sys tems. Hence, due to the depletion of activity, many US today have created bubbles lacking function under the skin of cities; with proper identification, it will be possible to use them in the service of cities and citizens. Thus, the main Goals of Current research are -Recognizing the characteris tics of US -The typology of the urban US, and -Solutions to reproduce the urban US. This research is a scientific review, and the information collected is documentary-oriented. The lack of reliable sources in the fields of architecture and civil engineering in the subject of US, geographical extent, and diversity of species of these spaces on the planet show the importance of this research. Therefore, typology and solutions for reproducing urban US are presented from two methods of inves tigating the theoretical foundations and known projects in the field of US. The present s tudy's findings based on the literature review and reproduction of US showed that these spaces could be defined into six categories.

Light and color are effective factors in the creation of works of art, which, as the most immaterial element of nature, have always been influential in Iranian Islamic painting, and in fact, they represent the sublime world and spiritual atmosphere Also, the research about light and color in painting and its impact on painters and its contribution to the scope of expressing the influence of mysticism in the whole Islamic culture and art is at the starting point certainly knowing and understanding the three words mysticism, light and color and finding their meaning and meaning in a symbolic way is not only effective in better understanding Iranian and Islamic painting, but also our insight in understanding the Islamic ideas that are rooted in mysticism and Sufism and It also makes the behavior smoother. Colors have a chemical aspect in art, and mixing them is an art similar to alchemy. The main concern of this research, which is presented in an analytical way, is aesthetics and investigating the mystical aspects of paintings and motifs in Islamic civilization in Iranian art and architecture. It seems that Islamic art and architecture tries to manifest God's unity among colors, forms, lights, and sounds. Each color has a special allegory and a relationship with one of the inner states of man and soul. Color is an important factor for spiritual use in the painting effects of Islamic architecture. Mosques in the Islamic world usually use turquoise green and blue colors. Blue and turquoise colors are the main background colors of walls, tiles, altars, domes, and courtyards and along with the golden color in Iranian Islamic paintings, among other colors, they have a special shine and effect. These colors are manifestations of the inner meanings of colors. The colors of turquoise, green and white, which are symbols of nature's sky and divine light, respectively, are mixed together and add to the majesty of the mosques. The colors that result from the radiation of light are a symbol of the manifestation of unity in multiplicity and the dependence of multiplicity on unity. The reflection of the existence of colors in Iranian art shows an extraterrestrial truth outside the world of the senses, rather than imitating the surrounding natural colors. Vigilance and accurate insight in the arrangement of colors and the correct selection of each color refers to a symbolic concept of colors and their mutual effects that permeate the human soul and spirit.

The rapid emergence and evolution of technology have greatly impacted the way people live their lives. The internet has become a vital part of our daily lives. E-commerce is a type of technology development that enables customers to buy and sell products online. It is a unique form of transaction that connects people from all around the world. Today, many consumers shop for products online and present their products along with their specifications. This is becoming more prevalent. This increases the number of consumers online, which can result in a drop in growth. This is one of the main factors that a company uses to measure its success. Growing business success is revealed with retained customers. Satisfied consumers are the assets for a growing business. The study investigates the factors that influence people's decisions when it comes to buying items online. It shows that the experiences they have while shopping online can affect their decisions. The following statistical tools were applied for this study: percentage analysis, mean score with rank correlation, and t-Test. The results reveal that the factors quality, cost, product variety, uniqueness, and safety payments were highlighted as important indicators of performance and that the companies that do online businesses had to take care of their main goal as per the proposal.

The Analytic visualization suggests representing knowledge during a visual type that may be charts, graphs, lists, or maps. The COVID 19 detection and analysis of spreading is very important for countries. Database management with respect to virus deep analysis is a critical task to the researcher through conventional algorithms. The RNA, DNA, and biological data are helping to the bio-inspired algorithm but its implementation can be complex by software tools. Therefore, an effective technique is required to cross over the above limitations. So that covid 19 pandemic data analysis is performed through FCNN (Fully conventional Neural Network) pre-training network. The dataset is collected from social media, Kaggle, and GitHub databases. At 1st stage, the auto stack encoding process is applied later same data is processed with FCNN deep learning classifier. In this research work, covid-pandemic affects parameters like infected persons, deaths, active cases, and recovering cases. The FCNN is take care of feature extraction, training, testing, and classification. Finally using a confusion matrix accuracy of 98.34%, sensitivity 97.63%, Recall 98.26%, and F measure 98.83% had been estimated.