ISSN: 1690-4524 (Online)  
					
					Peer Reviewed Journal via three  different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added. 
					
                    Indexed byDOAJ (Directory of Open Access Journals)Benefits of supplying DOAJ with metadata:DOAJ's statistics show more than 900 000 page views and 300 000 unique visitors a month to DOAJ from all over the world. Many aggregators, databases, libraries, publishers and search portals collect our free metadata and include it in their products. Examples are Scopus, Serial Solutions and EBSCO . DOAJ is OAI compliant and once an article is in DOAJ, it is automatically harvestable. DOAJ is OpenURL compliant and once an article is in DOAJ, it is automatically linkable. Over 95% of the DOAJ Publisher community said that DOAJ is important for increasing their journal's visibility. DOAJ is often cited as a source of quality, open access journals in research and scholarly publishing circles. JSCI Supplies DOAJ with Meta Data 
  , Academic Journals Database, and Google Scholar 
   
                    
                    
                    Listed inCabell Directory of Publishing Opportunities and in Ulrich’s Periodical Directory    
                    
                    
					Published by
The International Institute of Informatics and Cybernetics   
					Re-Published in
Academia.edu (A Community of about 40.000.000 Academics)   
	
	
                    
                    
                    
                    
                    
									
									
					
					  
               
            
 
         
          
        
         
            
         
         
            
         
         
           
             
         
         
            
         
         
            
         
         
           
               
                  
                    
                       
                           
                          Quantitative Endosurgery Process Analysis by Machine Learning Method Bojan Nokovic , Andrew Lambe (pages: 1-7) Modelling Student Performance in a Structural Steel Graduate-Based Module: A Comparative Analysis Between K-Nearest Neighbor and Dummy Classifiers Masengo Ilunga , Omphemetse Zimbili , Phahlani Mampilo , Agarwal Abhishek (pages: 8-15) Interoperable Digital Skills for Foreign Languages Education in the COVID-19 Paradigm Rusudan Makhachashvili , Ivan Semenist , Iryna Vorotnykova (pages: 16-20) Education, Training and Informatics Go Hand in Hand in (Foreign) Higher Education Institutions (HEIs) – Case Studies From Live and Online Classrooms Ekaterini Nikolarea (pages: 21-29) Enhancing Pedagogical and Digital Competencies Through Digital Tools: A Proposal for Semi-schooled Language Teaching Programs in Oaxaca, Mexico José de Jesús Bautista Hernández , Eduardo Bustos Farías , Norma Patricia Maldonado Reynoso (pages: 30-35) Railway Track Degradation Modelling Using Finite Element Analysis: A Case Study in South Africa Ntombela Lunga , Masengo Ilunga (pages: 36-50) Continuum of Academic Collaboration: Issues of Inconsistent Terminology in Multilingual Context Cristo Leon , James Lipuma , Marcos O. Cabobianco , Maria B. Daizo (pages: 51-62) Peat Resource Management and Climate Change Mitigation Issues – Case of Latvia Anita Titova , Natalja Lace (pages: 63-70) Using Geospatial Computation Intelligence for Mapping Temporal Evolution of Urban Built-up in Selected Areas of the Ekurhuleni Municipality, South Africa Jo-Anne Correia , Masengo Ilunga (pages: 71-80) Cybernetics and Informatics of Generative AI for Transdisciplinary Communication in Education Rusudan Makhachashvili , Ivan Semenist (pages: 81-88) Navigating Psychological Riptides: How Seafarers Cope and Seek Help for Mental Health Needs Coleen Abadicio , Stella Louise Arenas , Rosette Renee Hahn , Angel Berry Maleriado , Ramon Miguel Mariano , Rodolfo Antonio Ma. Zabella , Genejane Adarlo (pages: 89-98) 
                     
                       
                    
                    
               
            
 
         
         
             
         
         
            
         
         
            
         
      
 
   
                    
                 
                     
                       
                          
                           
							 
                                                           
							ABSTRACT
 
							
						  	
								 							
							
                           
                           
                               
                                 
TRManager – Technical Risk Manager  Mark A. Gregory, Christopher White
This  paper  presents  research  into  the  development  of  a  new 
information   management   technique   called   Technical   Risk 
Manager. Project management involves the use of processes and 
information  management  techniques  to  aid  decision  making in 
the pursuit of project success. Project success may be achieved 
by  meeting  time,  cost  or  performance  criteria.  Current  project 
management practices focus on achieving time and cost project 
success   criteria   by   using   three   information   management 
techniques  developed  in  the  1950s:  Gantt,  PERT  and  Critical 
Path  Method.  Technical  Risk  Manager  has  been  developed  to 
provide an information management technique that may be used 
to  aid  project  management  decision  making  in  the  pursuit  of 
achieving the performance project success criteria.
Full Text