|
|
|
|
|
Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
ver más
|
|
|
|
|
|
|
|
|
|
|
?tefan Ionescu, Camelia Delcea, Nora Chiri?a and Ionu? Nica
This research provides a comprehensive analysis of the dynamic interplay between agent-based modeling (ABM) and artificial intelligence (AI) through a meticulous bibliometric study. This study reveals a substantial increase in scholarly interest, particu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nicholas V. Sarlis, Efthimios S. Skordas, Stavros-Richard G. Christopoulos and Panayiotis K. Varotsos
Here, we employ natural time analysis of seismicity together with non-extensive statistical mechanics aiming at shortening the occurrence time window of the Kahramanmaras-Gazientep M7.8 earthquake. The results obtained are in the positive direction point...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luis Zuloaga-Rotta, Rubén Borja-Rosales, Mirko Jerber Rodríguez Mallma, David Mauricio and Nelson Maculan
The forecasting of presidential election results (PERs) is a very complex problem due to the diversity of electoral factors and the uncertainty involved. The use of a hybrid approach composed of techniques such as machine learning (ML) and Simulation in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ichchha Pradeep Sharma, Tam V. Nguyen, Shruti Ajay Singh and Tom Ongwere
This paper focuses on addressing the complex healthcare needs of patients struggling with discordant chronic comorbidities (DCCs). Managing these patients within the current healthcare system often proves to be a challenging process, characterized by evo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marko Motaln and Tone Lerher
Numerical simulations play a vital role in the modern engineering industry, especially when faced with interconnected challenges such as particle interactions and the structural integrity of conveyor systems. This article focuses on the handling of mater...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jean-Marc Guarini and Jennifer Coston-Guarini
In their 2023 book, ?The Blue Compendium: From Knowledge to Action for a Sustainable Ocean Economy?, Lubchenko and Haugan invoked alternate stable (AS) states marginally as an undesired consequence of sources of disturbance on populations, communities an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Felipe Coelho de Abreu Pinna, Victor Takashi Hayashi, João Carlos Néto, Rosangela de Fátima Pereira Marquesone, Maísa Cristina Duarte, Rodrigo Suzuki Okada and Wilson Vicente Ruggiero
Complex and long interactions (e.g., a change of topic during a conversation) justify the use of dialog systems to develop task-oriented chatbots and intelligent virtual assistants. The development of dialog systems requires considerable effort and takes...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jia-Ling Xie, Wei-Feng Shi, Ting Xue and Yu-Hang Liu
The fault detection and diagnosis of a ship?s electric propulsion system is of great significance to the reliability and safety of large modern ships. The traditional fault diagnosis method based on mathematical models and expert knowledge is limited by ...
ver más
|
|
|
|
|
|