24 papers · ranked by Valyu relevance
En Xu, Yilin Bi, Hongwei Hu, Xin Chen + 4 more
a Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China b CompleX Lab, University of Electronic Science and Technology of China, Chengdu, 611731, China c Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China d School of Computer…
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
How predictable users perceive an interactive system to be shapes how they interpret, trust, and rely on it, yet HCI lacks both a precise conceptualization and a validated instrument for this perception. We address this gap by introducing perceived system predictability (PSP) as a user-centered construct grounded in…
Alexandra Bezbochina, Elizaveta Stavinova, Anton Kovantsev, Petr Chunaev + 1 more
'Petr Chunaev' 'Mohammad Reza Rahimi Tabar'] Driven by the variety of available measures intended to estimate predictability of diverse objects such as time series and network links, this paper presents a comprehensive overview of the existing literature in this domain. Our overview delves into predictability from two…
Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi
Title: Summary Decision-making in the power systems domain often relies on predictions of renewable generation. While sophisticated forecasting methods have been developed to improve the accuracy of such predictions, their accuracy is limited by the inherent predictability of the data used. However, the predictability…
Bibandhan Poudyal, Diogo Pacheco, Marcos Oliveira, Zexun Chen + 3 more
mobility Dynamic predictability and activity-location contexts in human mobility Authors: Bibandhan Poudyal, Diogo Pacheco, Marcos Oliveira, Zexun Chen, Hugo S. Barbosa, Ronaldo Menezes, Gourab Ghoshal Human travelling behaviours are markedly regular, to a large extent predictable, and mostly driven by biological…
Daniyal Rajput, Kim Felmingham, Chin-Hsuan Sophie Lin, Marta I. Garrido
An individual’s adaptation to threatening environments under uncertainty is reflected in stress responses. Predictability (the ability to anticipate events) and controllability (the ability to control outcomes) are central to how one adapts, yet their joint influence on aversive learning remains unclear. Thirty healthy…
Frank Pennekamp, Alison C. Iles, Joshua Garland, Georgina Brennan + 15 more
Realized predictability is highest when the chosen forecasting model exploits all the active information contained in a time series. For illustration, we forecast the oscillating abundance of a laboratory ciliate population (57) with three different approaches (Figure 1): i) the mean of the time series (a model which…
Jiancang Zhuang, Didier Sornette
Earthquakes resist deterministic prediction, yet their occurrence is not fully random. This paper develops a unified information-theoretic framework to quantify predictability. By reviewing Shannon entropy and the Kullback-Leibler divergence, we formalize predictability as the entropy gap between complete randomness…
John R. Lawson
Communicating forecast uncertainty effectively is a persistent challenge in predictive endeavours such as weather forecasting. This paper explores the application of possibility theory as a complementary approach to traditional probability in risk communication. Unlike probability, possibility theory allows for the…
Michelle L. Eisenberg, Jeffrey M. Zacks, Shaney Flores
The ability to predict what is going to happen in the near future is integral for daily functioning. Previous research suggests that predictability varies over time, with increases in prediction error at those moments that people perceive as boundaries between meaningful events. These moments also tend to be points of…
Liuhong Huang, Zhaocheng He, Xiying Li, Zhi Yu + 1 more
Research on maximum predictability for next location prediction aims to derive the theoretical maximum accuracy that an ideal prediction model could achieve, which is crucial for analyzing travel regularity and evaluating prediction models. However, three problems remain: 1) The spatiotemporal information used in…
Arun Ramanathan, A. N. V. Satyanarayana
Theoretical predictability measures of turbulent atmospheric flows are essential in estimating how realistic the current storm-scale strategic forecast skill expectations are. Atmospheric predictability studies in the past have usually neglected intermittency and anisotropy, which are typical features of atmospheric…
Owen L. Petchey, Mikael Pontarp, Thomas M. Massie, Sonia Kéfi + 14 more
Forecasts of how ecological systems respond to environmental change are increasingly important. Sufficiently inaccurate forecasts will be of little use, however. For example, weather forecasts are for about one week into the future; after that they are too unreliable to be useful (i.e., the forecast horizon is about…
Jordi Pla-Mauri, Ricard Solé
Living systems have evolved cognitive complexity to reduce environmental uncertainty, enabling them to predict and prepare for future conditions. Anticipation, distinct from simple prediction, involves active adaptation before an event occurs and is a key feature of both neural and aneural biological agents. Building…
Katharine H. Greenaway, Winnifred R. Louis, Matthew J. Hornsey, Frank Krueger
Humans are motivated to feel in control of their environments and outcomes , . The impulse is unsurprising, given that people who experience high perceived control tend to live happier, healthier, and more productive lives than people who do not -. As a result of this drive, people act in order to regain perceived…
S. Caprara, Angelo Vulpiani
There is a persistent confusion about determinism and predictability. In spite of the opinions of some eminent philosophers (e.g., Popper), it is possible to understand that the two concepts are completely unrelated. In few words we can say that determinism is ontic and has to do with how Nature behaves, while…
Hykel Hosni, Angelo Vulpiani
Predicting the future state of a system has always been a natural motivation for science and practical applications. Such a topic, beyond its obvious technical and societal relevance, is also interesting from a conceptual point of view. This owes to the fact that forecasting lends itself to two equally radical, yet…
Authors not listed
Plastic mechanical recycling is the conventional technological step towards circularity. In such aspects, complex mixtures of polyolefin blends are often fed into mechanical recycling systems, resulting in moulded products with uncertain quality. To add to the difficulty of heterogeneous feedstocks, the testing of…
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Kinetic modeling is essential for predicting changes in food quality during processing and storage. This study evaluates the application of physics-informed neural networks (PINN) for food kinetic modeling, integrating kinetic insights into neural network frameworks. Based on three case studies, namely seed drying…
Tianfan Jin, Brett M Savoie
Contemporary machine learning algorithms have largely succeeded in automating the development of mathematical models from data. Although this is a striking accomplishment, it leaves unaddressed the multitude of scenarios, especially across the chemical sciences and engineering, where deductive, rather than inductive…
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Accurate determination of the metabolic fate of xenobiotics is essential for ensuring their safety and efficacy. While in vivo and in vitro methods remain the gold standard for assessing metabolic properties, they are both costly and time-consuming. In silico metabolism prediction models offer complementary solutions…
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The use of hybrid models, combing mechanistic and machine learning (ML), has emerged as a promising approach, contributing to the development of Industry 4.0. This work presents a hybrid model that forecasts minibioreactor (MBR) production runs of mammalian cell culture recombinant for monoclonal antibodies (mAbs)…
Barak Kol, Alberto Robledo, Francisco J. Sevilla
This article offers a broad-brush account of the Newtonian three-body problem, from its origins with Newton to its vibrant present, emphasizing its enduring influence on theoretical physics. It unfolds through a series of self-contained episodes that illuminate the scientific fields and the paradigm shift that have…
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Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…