{"id":92,"date":"2025-05-05T16:43:48","date_gmt":"2025-05-05T16:43:48","guid":{"rendered":"https:\/\/wisdova.com\/?page_id=92"},"modified":"2025-05-07T13:13:51","modified_gmt":"2025-05-07T13:13:51","slug":"rd","status":"publish","type":"page","link":"https:\/\/wisdova.com\/?page_id=92","title":{"rendered":"R&#038;D"},"content":{"rendered":"\n\n\n<p>Virtual education wisdom mining dashboard<\/p>\n\n<br>\n<p>VEWD is a&nbsp;<strong data-start=\"61\" data-end=\"94\">Wisdom Mining-based dashboard<\/strong> for analyzing parameters influencing <strong data-start=\"132\" data-end=\"150\">MOOCs adoption<\/strong> integrates advanced data analytics with contextual understanding to uncover deep insights from historical and real-time data. By combining machine learning, expert knowledge, and domain-specific heuristics, the dashboard identifies key behavioral, technological, and socio-economic factors affecting user engagement and course completion. It offers intuitive visualizations and actionable recommendations, enabling educators and policymakers to design more effective, inclusive, and adaptive online learning strategies<\/p>\n\n\n<p>For example Online infrastructure, Conducive environment, Flexible Timings etc.<\/p>\n<p>WisRule: A Cognitive Approach to Mine Wise Association Rules, CART: Regression based Analysis Tree<\/p>\n<p>University of Technologi PETRONAS, Malaysia<\/p>\n\n\n\n\n<p>Artificial intelligence based system for moocs<\/p>\n\n<br>\n<p>AIMOOCS is an <strong data-start=\"97\" data-end=\"140\">AI-based dashboard for online education<\/strong> leverages intelligent algorithms to monitor, analyze, and optimize the learning experience in real time. It tracks student engagement, learning progress, content effectiveness, and dropout risks through data-driven insights. By providing personalized feedback, predictive analytics, and adaptive learning paths, the dashboard empowers educators to make informed decisions and supports learners with tailored recommendations for improved outcomes.<\/p>\n\n\n<p>An Artificial Intelligence based framework for monitoring, analyzing and optimizing student learning performance in Massive Open Online Courses<\/p>\n<p>Algorithms of Natural Language Processing, Data Analysis and wisdom mining are developed<\/p>\n<p>University of Technologi PETRONAS Malaysia<\/p><p>Foundation University Islamabad Pakistan<\/p>\n\n\n\n\n<p>meps &#8211; energy product registry system<\/p>\n\n<br>\n<p>MEPS -ERS is a centralized digital platform developed to facilitate the <strong data-start=\"158\" data-end=\"205\">registration of manufacturers and importers<\/strong> in compliance with <strong data-start=\"225\" data-end=\"272\">Minimum Energy Performance Standards (MEPS)<\/strong> for lighting products. This system supports Pakistan\u2019s transition from conventional lighting to <strong data-start=\"369\" data-end=\"434\">energy-efficient solutions using Light Emitting Diodes (LEDs)<\/strong>. By ensuring traceability, quality assurance, and regulatory compliance, the CT Registry enables effective market surveillance and promotes the adoption of sustainable lighting technologies. It plays a crucial role in aligning national energy efficiency goals with international best practices.<\/p>\n\n\n<p>Centralized digital platform for registration for energy product importers<\/p>\n<p>The system is implemented as a web application on online portal for ensuring energy efficiency and conservation through registration of all imported energy products<\/p>\n<p>United Nation Environment Program<\/p>\n\n\n\n\n<p>eih &#8211; energy information house<\/p>\n\n<br>\n<p><span class=\"fontstyle0\">Energy Information House (EIH), is designed for energy information and dissemination, at the Federal and Provincial headquarters in close coordination with its Provincial Designated Agencies and other relevant Energy Sector entities of Pakistan. The analysis of data from these energy centres will become possible with the semantics of the domain-specific variables of energy efficiency. EIH by incorporating business intelligence, big data and machine learning consist of automatic analysis interfaces equipped with newly developed algorithms cover developing a reliable and sustainable mechanism for dissemination of the energy information based on the analyses of the collected data at the national level for all the stakeholders.<\/span> \n<br style=\"font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;\"><\/p>\n\n\n<p>Energy scenario analysis of different scenarios is facilitated through dashboards<\/p>\n<p>The system is implemented on Microsoft distributed platforms for dashboards and is accessible to all concerned stakeholders<\/p>\n<p>National Energy Efficiency and Conservation Authority Pakistan<\/p>\n\n\n\n\n<p>Intelligent recommender job portal<\/p>\n\n<br>\n<p><span class=\"fontstyle0\">JR is aimed to develop a job portal for retired military servicemen for their registration and searching for post-retirement employment opportunities in Fauji Foundation Companies. An intelligent recommender system is also devised in the system to recommend most relevant opportunities to the individuals<\/span> \n<br style=\"font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;\"><\/p>\n\n\n<p>search, auto analyze the job resumes of personnels and recommend relevant jobs<\/p>\n<p>The system is implemented on open source distributed platforms and is accessible to all concerned stakeholders<\/p>\n<p>Fauji Foundation<\/p>\n\n\n\n\n<p>Intelligent Covid-19 tracker and predictor<\/p>\n\n<br>\n<p><span class=\"fontstyle0\">Covid 19-TP&nbsp;&nbsp;<\/span>is aimed to develop a GIS-based COVID victim tracker with the provision of multiple predictors. Data mining\/ machine learning algorithm is developed to predict the tentative end date<\/p><span class=\"fontstyle0\">of Covid-19 infections based on different parameters. The system was uploaded on Android store for free download and the predictors are published in international journals<\/span> \n<br style=\"font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; line-height: normal; text-align: -webkit-auto; text-size-adjust: auto;\">\n\n\n<p>Automatically tracks Cvoid-19 victims on GIS and analyze the viccinity to give recommendations<\/p>\n<p>The system is implemented on open source distributed platforms and is accessible to all concerned stakeholders<\/p>\n<p>1347<\/p>\n\n\n\n\n<p>microbial prospection of oil and gas<\/p>\n\n<br>\n<p><span class=\"fontstyle0\" style=\"font-size:10.0pt;font-family:&quot;Arial&quot;,sans-serif;\nmso-ascii-theme-font:minor-bidi;mso-fareast-font-family:&quot;Times New Roman&quot;;\nmso-hansi-theme-font:minor-bidi;mso-bidi-theme-font:minor-bidi;mso-ansi-language:\nEN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-weight:\nbold\">The presence of hydrocarbons beneath earth\u2019s surface produces some\nmicrobiological anomalies in soils and sediments. The detection of such\nmicrobial populations involves pure bio chemical processes which are\nspecialized, expensive and time consuming. This paper proposes a new algorithm\nof context based association rule mining on non spatial data to mine context\nbased association rules on microbial database to extract interesting and useful\nassociations of microbial attributes with existence of hydrocarbon reserve<\/span><\/p>\n\n\n<p>Develop a system to detect the presence of hydrocarbon beneath the surface of earth based on the microbes present in soils and sediments<\/p>\n<p>The system is implemented on open source distributed platforms and is accessible to all concerned stakeholders<\/p>\n<p>Shaheen M., 2017., An Algorithm of Association Rule Mining for Microbial Prospection., Nature Scientific Reports.<\/p>\n\n\n\n\n<p>GIS Mapping of gas distribution network<\/p>\n\n<br>\n<p><span style=\"font-size:10.0pt;font-family:&quot;Arial&quot;,sans-serif;\nmso-ascii-theme-font:minor-bidi;mso-fareast-font-family:&quot;Times New Roman&quot;;\nmso-hansi-theme-font:minor-bidi;mso-bidi-theme-font:minor-bidi;mso-ansi-language:\nEN-US;mso-fareast-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-weight:\nbold\">The project aimed to incubate a geographic information center at SNGPL\nhead office after which the design and implementation of GIS for the country\u2019s\ngas network was to be completed. The design was specific for the distribution\nand transmission of the gas network in Pakistan. The project also included\ninclusion of data mining\/ BI based data analysis modules to make GIS more\nanalyzable.<\/span><\/p>\n\n\n<p>GIS of gas distribution network with complete analytical capabilities including network analysis, integration with NN software<\/p>\n<p>All across the country through a distributed ArcIMS platform editable, readable and usable<\/p>\n<p>Sui Northern Gas Pipelines Ltd<\/p>\n\n\n\n\n<h2>For more details about wisdova products, please email<\/h2>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"class_list":["post-92","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/pages\/92","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wisdova.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=92"}],"version-history":[{"count":16,"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/pages\/92\/revisions"}],"predecessor-version":[{"id":425,"href":"https:\/\/wisdova.com\/index.php?rest_route=\/wp\/v2\/pages\/92\/revisions\/425"}],"wp:attachment":[{"href":"https:\/\/wisdova.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=92"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}