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The emergence of Internet of Things technology and recent advancement in sensor networks enabled transportation systems to a new dimension called Intelligent Transportation System. Due to increased usage of vehicles and communication among…

Artificial Intelligence · Computer Science 2021-08-02 Swarnamugi. M , Chinnaiyan. R

The machine learning formulation of online learning is incomplete from a systems theoretic perspective. Typically, machine learning research emphasizes domains and tasks, and a problem solving worldview. It focuses on algorithm parameters,…

Machine Learning · Computer Science 2024-04-08 Anli du Preez , Peter A. Beling , Tyler Cody

Diffusion Models are probabilistic models that create realistic samples by simulating the diffusion process, gradually adding and removing noise from data. These models have gained popularity in domains such as image processing, speech…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Md Manjurul Ahsan , Shivakumar Raman , Yingtao Liu , Zahed Siddique

Most modeling approaches lie in either of the two categories: physics-based or data-driven. Recently, a third approach which is a combination of these deterministic and statistical models is emerging for scientific applications. To leverage…

Computational Physics · Physics 2021-03-29 Omer San , Adil Rasheed , Trond Kvamsdal

The concept of literary genre is a highly complex one: not only are different genres frequently defined on several, but not necessarily the same levels of description, but consideration of genres as cognitive, social, or scholarly…

Computation and Language · Computer Science 2021-03-25 Christof Schöch

This paper reviews the state-of-the-art of semantic change computation, one emerging research field in computational linguistics, proposing a framework that summarizes the literature by identifying and expounding five essential components…

Computation and Language · Computer Science 2018-06-20 Xuri Tang

This paper aims to provide a comprehensive critical overview on how entities and their interactions in Complex Networked Systems (CNS) are modelled across disciplines as they approach their ultimate goal of creating a Digital Twin (DT) that…

Systems and Control · Electrical Eng. & Systems 2022-02-22 Jiaqi Wen , Bogdan Gabrys , Katarzyna Musial

The influence of machine learning (ML) is quickly spreading, and a number of recent technological innovations have applied ML as a central technology. However, ML development still requires a substantial amount of human expertise to be…

Machine Learning · Computer Science 2021-05-04 Simon Enni , Ira Assent

Creativity, i.e., the process of generating and developing fresh and original ideas or products that are useful or effective, is a valuable skill in a variety of domains. Creativity is called an essential 21st-century skill that should be…

Information Retrieval · Computer Science 2022-10-13 Nasrin Shabani

A clear definition of system dynamics modeling can provide shared understanding and clarify the impact of the field. We introduce a set of characteristics that define quantitative system dynamics, selected to capture core philosophy,…

Systems and Control · Electrical Eng. & Systems 2023-08-01 Asmeret Naugle , Saeed Langarudi , Timothy Clancy

Mathematical modelling has a long history in the context of collective cell migration, with applications throughout development, disease and regenerative medicine. The aim of modelling in this context is to provide a framework in which to…

Quantitative Methods · Quantitative Biology 2025-06-24 Ruth E. Baker , Rebecca M. Crossley , Carles Falco , Simon F. Martina-Perez

A cognitive handoff is a multipurpose handoff that achieves many desirable features simultaneously; e.g., seamlessness, autonomy, security, correctness, adaptability, etc. But, the development of cognitive handoffs is a challenging task…

Digital Engineering, the digital transformation of engineering to leverage digital technologies, is coming globally. This paper explores digital systems engineering, which aims at developing theory, methods, models, and tools to support the…

Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications, these models provide us with the means of organizing what would otherwise be unstructured collections. They can…

Information Retrieval · Computer Science 2015-03-06 Wesam Elshamy

The integration of artificial intelligence (AI) into daily life, particularly through information retrieval and recommender systems, has necessitated advanced user modeling and profiling techniques to deliver personalized experiences. These…

Artificial Intelligence · Computer Science 2024-02-22 Erasmo Purificato , Ludovico Boratto , Ernesto William De Luca

Embedded computing systems are pervasive in our everyday lives, imparting digital intelligence to a variety of electronic platforms used in our vehicles, smart appliances, wearables, mobile devices, and computers. The need to train the next…

Computers and Society · Computer Science 2022-06-08 Sudeep Pasricha

We regularly encounter information on novel, emerging topics for which the body of knowledge is still evolving, which can be linked, for instance, to current events. A primary way to learn more about such topics is through web search.…

Information Retrieval · Computer Science 2025-09-15 Alisa Rieger , Stefan Dietze , Ran Yu

Fashion is the way we present ourselves to the world and has become one of the world's largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-29 Wen-Huang Cheng , Sijie Song , Chieh-Yun Chen , Shintami Chusnul Hidayati , Jiaying Liu

The workflow concept, proliferated through the recently emergent computer supported cooperative work (CSCW) systems and workflow systems, advances information systems (IS) implementation models by incorporating aspects of collaboration and…

Computers and Society · Computer Science 2021-06-01 Alistair P. Barros , Arthur H. M. ter Hofstede , Henderik A. Proper

Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has gained significant attention in computer vision. Over the…

Computer Vision and Pattern Recognition · Computer Science 2022-09-16 Muhammad Asif Khan , Hamid Menouar , Ridha Hamila