[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119711-en":3,"doc-seo-119711-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119711,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Algorithms for Machine Learning with Orange System - Paper","The article highlights the need for new approaches that increase information awareness, knowledge, and competencies in current and future generations by leveraging emerging technologies for technological breakthroughs. It presents core machine learning tools for supervised and unsupervised learning, and formulates algorithms for building an information flow in the Orange system for research, analysis, and training. Experiments on smart crop production compare classification, regression, and clustering methods, showing adaptable solutions for diverse tasks and new applications.","Paper—Algorithms for Machine Learning with Orange System  \nAlgorithms for Machine Learning with Orange System  \n[https://doi.org/10.3991/ijoe.v19i04.36897](https://doi.org/10.3991/ijoe.v19i04.36897)  \nIvan Popchev1, Daniela Orozova2(􀀍)  \n1Bulgarian Academy of Sciences, Sofia, Bulgaria  \n2Trakia University, Stara Zagora, Bulgaria  \n[daniela.orozova@trakia-uni.bg](daniela.orozova@trakia-uni.bg)  \nAbstract—Emphasized is the need for new approaches and solutions for forming of increased information awareness, knowledge and competencies in the present and future generations to use the possibilities of emerging technologies for technological breakthroughs. The article presents basic machine learning tools of both types: supervised learning, which trains a model on known input and output data and predicts future results, and unsupervised learning, which finds hidden patterns or inherent structures in the input data. Algorithms for the processes of creating an information flow when applying the tools of the Orange system, which can be used for research, analysis and training, are formulated. Experiments related to smart crop production and analyses with different classification, regression and clustering algorithms. The results show that the formulated solutions can be successfully used for different tasks and can be adapted to new technologies and applications.  \nKeywords—emerging technologies, supervised and unsupervised learning, smart crop production, Orange system  \n1 Introduction  \nToday we witness to digitalization of all assets and economic agents in a uniform chain of the value and the integration in a general digital ecosystem. Unlimited possibilities are created for mutual up building, increasing and merging of technologies and societies, as well as for new technological breakthroughs in many areas. There is a need for new approaches and solutions for forming of increased information awareness, knowledge and competencies in the present and future generations to use the possibilities for technological breakthroughs. This raises new problems and therefor a necessity for the search of new solutions. The possibilities for carrying out and management of various processes become huge especially in a connected environment. This dynamical and heterogeneous environment must be able to adapt to the new characteristics and requirements which emerging technologies imposes.  \nIt is important to mention that each of the emerging technologies is in a logically, scientifically proven and practically justified dependence on many different scientific areas. The complexity and mutual involvement of these emerging technologies is accompanied by a significant increase of the risk factors due to the all-embracing and  \nPaper—Algorithms for Machine Learning with Orange System  \nin some aspects spontaneous digitalization which is a reason for anxiety to the formed disruption in the relation “human-digital environment” [3] .  \nPotential risks in emerging technologies can be systematized in the following separate eight groups: Rd – privacy and data security; RL – change in labor market; Rp – mental distraction; Rм – manipulation and echo camera; RF – fragmentation; RA – responsibility and accountability; RE – ecology, ecosystems and ethics; Rs – change in income/cost structure and ownership of assets.  \nEach risk has negative, often unknown, undefined in advanced impacts. This requires investigation and decision-making about the risk which can be in the following scheme of five phases:  \nphase 1: Identification of the risk;  \nphase 2: Quantitative/Qualitative evalutation of the risk and its characteristics;  \nphase 3: Choice of instrument and/or instruments for risk impact (standards, norms, rules, models, methods, algorithms);  \nphase 4: Risk management – direct impact on the environment or the object through the selected instruments;  \nphase 5: Monitoring, control and evaluation of the risk management which can be a sufficient reason for going bac","cbCaiszhdhrouIBy","https://ap.wps.com/l/cbCaiszhdhrouIBy","pdf",1360347,1,15,"English","en",105,"# Introduction\n## Emerging technologies and risk considerations\n## Machine learning and AI in emerging technologies\n## Orange system and its library\n## Learning types: supervised and unsupervised","[{\"question\":\"What are the two main machine learning types discussed in the document?\",\"answer\":\"The document explains supervised learning, which trains models on known input-output data to predict future results, and unsupervised learning, which discovers hidden patterns or inherent structures in the input data.\"},{\"question\":\"How does the Orange system relate to the proposed algorithms?\",\"answer\":\"Orange is used in the conducted experiments, and its library is described as a hierarchical set of components that supports data processing, modeling, evaluation, and projections for machine learning workflows.\"},{\"question\":\"What kind of experiments were performed to test the approach?\",\"answer\":\"Experiments focused on smart crop production and analyzed outcomes using different classification, regression, and clustering algorithms.\"}]","Algorithms for Machine Learning with Orange System - Paper | PDF",1785725909,38,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"algorithms-for-machine-learning-with-orange-system-paper","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/algorithms-for-machine-learning-with-orange-system-paper/119711/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What are the two main machine learning types discussed in the document?","Question",{"text":75,"@type":76},"The document explains supervised learning, which trains models on known input-output data to predict future results, and unsupervised learning, which discovers hidden patterns or inherent structures in the input data.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the Orange system relate to the proposed algorithms?",{"text":80,"@type":76},"Orange is used in the conducted experiments, and its library is described as a hierarchical set of components that supports data processing, modeling, evaluation, and projections for machine learning workflows.",{"name":82,"@type":73,"acceptedAnswer":83},"What kind of experiments were performed to test the approach?",{"text":84,"@type":76},"Experiments focused on smart crop production and analyzed outcomes using different classification, regression, and clustering algorithms.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]