Is it possible to create a random 2- dimensional shape using mathematical equations Or in software like 3D-max and AutoCAD?

What is the most topic nowadays in post doctor Architecture research specific in" Zero carbon architecture" ?

new topics in urban planning

I read in an article about virtual architectural environments and I was very eager to know where virtual architectural spaces can be built and used as galleries, classrooms, or work rooms, etc.?

Does this method follow architectural techniques?

What issues become more important in this method?

In navigating the complex landscape of medical research, addressing interpretability and transparency challenges posed by deep learning models is paramount for fostering trust among healthcare practitioners and researchers. One formidable challenge lies in the inherent complexity of these algorithms, often operating as black boxes that make it challenging to decipher their decision-making processes. The intricate web of interconnected nodes and layers within deep learning models can obscure the rationale behind predictions, hindering comprehension. Additionally, the lack of standardized methods for interpreting and visualizing model outputs further complicates matters. Striking a balance between model sophistication and interpretability is a delicate task, as simplifying models for transparency may sacrifice their intricate capacity to capture nuanced patterns. Overcoming these hurdles requires concerted efforts to develop transparent architectures, standardized interpretability metrics, and educational initiatives that empower healthcare professionals to confidently integrate and interpret deep learning insights in critical scenarios.

The spaces we live in impacts on our everyday life. Like it protects us from outside weather condition, gives us protection in various conditions, connect us to nature and so on. A space can gives us feeling of serenity while in some cases it can increase tension and stress too. spaces impacts on our mental and physical health. So while having a Vulnerable mental and physical state due to the horrific experience, disfiguration and so on, how a burn survivor will receive the impact of the built environment of the spaces they reside in throughout their recovery process? what are the factors in built environment that can fasten or slow down the recovery process?

How many people have read the book Four-Dimensional Descriptive Geometry by C. Ernesto S. Lindgren and Steve M. Slaby?

Nowadays, Internet marketing is developing rapidly, including viral Internet marketing used on social media sites, among others, in the form of, for example, Real-Time marketing in the formula of viral marketing. It is also marketing aimed at precisely defined groups, audience segments, potential customers of a specific advertised product and/or service offering. In terms of improving Internet marketing, new ICT information technologies and Industry 4.0/5.0 are being implemented. Marketing conducted in this form is usually preceded by market research conducted using, among other things, sentiment analysis of the preferences of potential consumers based on verification of their activity on the Internet, taking into account comments written on various websites, Internet forums, blogs, posts written on social media. In recent years, the importance of the aforementioned sentiment analysis carried out on large data sets using Big Data Analytics has been growing, thanks to which it is possible to study the psychological aspects of the phenomena of changes in the trends of certain processes in the markets for products, services, factor markets and financial markets. The development of the aforementioned analytics makes it possible to study the determinants of specific phenomena occurring in the markets caused by changes in consumer or investor preferences, caused by specific changes in the behavior of consumers in product and service markets, entrepreneurs in factor markets or investors in money and capital markets, including securities markets. The results from these analyses are used to forecast changes in the behavior of consumers, entrepreneurs and investors that will occur in the following months and quarters. In addition to this, sentiment analyses are also conducted to determine the preferences, awareness of potential customers, consumers in terms of recognition of the company's brand, its offerings, description of certain products and services, etc., using textual data derived from comments, entries, posts, etc. posted by Internet users, including social media users on a wide variety of websites. The knowledge gained in this way can be useful for companies to plan marketing strategies, to change the product and service offerings produced, to select or change specific distribution channels, after-sales services, etc. This is now a rapidly developing field of research and the possibilities for many companies and enterprises to use the results of this research in marketing activities, but not only in marketing. Recently, opportunities are emerging to apply generative artificial intelligence and other Industry 4.0/5.0 technologies to analyze large data sets collected on Big Data Analytics platforms. In connection with the development of intelligent chatbots available on the Internet, recently there have been discussions about the possibilities of potential applications of generative artificial intelligence, 5G and other technologies included in the Industry 4.0/5.0 group in the context of using the information resources of the Internet to collect data on citizens, companies, institutions, etc. for their analysis carried out using, among other things, sentiment analysis to determine the opinion of Internet users on certain topics or to define the brand recognition of a company, the evaluation of product or service offerings by Internet users. In recent years, the scope of applications of Big Data technology and Data Science analytics, Data Analytics in economics, finance and management of organizations, including enterprises, financial and public institutions is increasing. Accordingly, the implementation of analytical instruments of advanced processing of large data sets in enterprises, financial and public institutions, i.e. the construction of Big Data Analytics platforms to support organizational management processes in various aspects of operations, including the improvement of customer relations, is also growing in importance. In recent years, ICT information technologies, Industry 4.0/5.0 including generative artificial intelligence technologies are particularly rapidly developing and finding application in knowledge-based economies. These technologies are used in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In recent years, the application of generative artificial intelligence technologies for collecting and multi-criteria analysis of Internet data can significantly contribute to the improvement of sentiment analysis of Internet users' opinions and the possibility of expanding the applications of research techniques carried out on analytical platforms of Business Intelligence, Big Data Analytics, Data Science and other research techniques using ICT information technology, Internet and advanced data processing typical Industry 4. 0/5.0. Most consumers of online information services available on new online media, including social media portals, are not fully aware of the level of risk of sharing information about themselves on these portals and the use of this data by technological online companies using this data for their analytics. I am conducting research on this issue. I have included the conclusions of my research in scientific publications, which are available on Research Gate. I invite you to cooperate with me.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Hi. I am currently working on two deep learning research as final semester undergraduate student. In order to ensure the quality and acceptability of my work in a well known journal paper can someone provide me any guideline, hints and tips. As for my previous experience i have worked in multiple conference papers.

Tips and hints can include this or anything else that you think is necessary:

1. What are the common mistakes I should avoid?

2. What should i always include and not include?

3. How do i choose a good journal to publish my work?

and etc etc.