GGTr: An Innovative Framework for Accurate and Realistic Human Motion Prediction by Biaozhang Huang, Xinde Li

“…Human motion prediction involves forecasting future movements based on past observations, which is a complex task due to the inherent spatial-temporal dynamics of human motion. …”
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The effect of macroeconomic determinants of the Chinese economy on the copper price movements by Đorđević Bojan S., Popović Gabrijela, Milanović Dragan

“…The presented multilinear regression model constitutes the 4 (four) statistically most significant macroeconomic variables, that is, determinants of the Chinese economy, which are used for clarifying current trends and can predict the future movements of prices on the global copper market. …”
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Global traffic and disease vector dispersal. by Tatem, A, Hay, S, Rogers, D

“…We contrast this dispersal with the relatively unchanged distribution of Anopheles gambiae and examine possible future movements of this malaria vector. We use a comprehensive database of international ship and aircraft traffic movements, combined with climatic information, to remap the global transportation network in terms of disease vector suitability and accessibility. …”

Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype by Mauro Callejas-Cuervo, Aura Ximena González-Cely, Teodiano Bastos-Filho

“…The design and implementation of an electronic system that involves head movements to operate a prototype that can simulate future movements of a wheelchair was developed here. The controller design collects head-movements data through a MEMS sensor-based motion capture system. …”
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A web usage mining approach based on LCS algorithm in online predicting recommendation systems by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…WUM can model user behavior and, therefore, to forecast their future movements. Online prediction is one Web Usage Mining application. …”
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Pedestrian trajectory prediction by deep learning considering obstacles in the surrounding environment by Naoya SUGIURA, Takumi MATSUDA, Yoji KURODA

“…In order to avoid collisions with pedestrians and drive safely, it is important to predict future movements of pedestrians. In the conventional prediction method, the trajectory of a future pedestrian is often predicted from the position of a pedestrian in the past. …”
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Real exchange rate in the long run: A multi-resolution analysis by Duc Hong Vo, Nhan Thien Nguyen

“…Second, the variation around trend using wavelet methodology can be used as a reliable indicator for future movements of the real exchange rate. Third, the high volatility of the exchange rate in the short run may be induced by arbitrage activities. …”
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Automatic modeling of machining processes by Sharma, Chetan,M. Eng.Massachusetts Institute of Technology.

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Financial forecasting : a neural network approach by Tay, Keane Ke Xun.

“…Data analysis is one way of predicting the future movements of stock prices. This study’s aim is to use artificial neural networks for the prediction of stock market prices. …”
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Inventors’ explorations across technology domains by Jeff Alstott, Giorgio Triulzi, Bowen Yan, Jianxi Luo

“…The great regularity of inventors’ behavior enabled accurate prediction of individual inventors’ future movements: a model trained on just 5 years of data predicted inventors’ explorations 30 years later with a log-loss below 0.01. …”
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Entropy and the Predictability of Online Life by Roberta Sinatra, Michael Szell

“…We find that movements in virtual human lives follow the same high levels of predictability as offline mobility, where future movements can, to some extent, be predicted well if the temporal correlations of visited places are accounted for. …”
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The binding of learning to action in motor adaptation. by Luis Nicolas Gonzalez Castro, Craig Bryant Monsen, Maurice A Smith

“…The formation of this association means that future movements planned to resemble the motion experienced on a given trial benefit maximally from the adaptation arising from it. …”
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Dynamic neural correlates of motor error monitoring and adaptation during trial-to-trial learning. by Tan, H, Jenkinson, N, Brown, P

“…As such, the signal might underpin trial-to-trial modifications of the internal model that informs future movements. To test this hypothesis, EEG was recorded in healthy subjects while they moved a joystick-controlled cursor to visual targets on a computer screen, with different rotational perturbations applied between the joystick and cursor. …”

Color-Coding Method Reveals Enhancement of Stereotypic Locomotion by Phenazepam in Rat Open Field Test by Mark Makarov, Yuri I. Sysoev, Oksana Agafonova, Veronika A. Prikhodko, Eduard Korkotian, Sergey V. Okovityi

“…This method made it possible to identify movement patterns, such as the initialization of ahead movements, side turns and 180° turns (back), and also to determine the degree of predictability of future movements. The obtained data revealed a decrease in the number of turns to the sides while maintaining ahead movement, as well as an increase in the predictability of movements in rats under the influence of phenazepam. …”
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm. by Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali

“…Prediction of user future movements and intentions based on the users’ clickstream data is a main challenging problem in Web based recommendation systems. …”
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Multi-Instrumental Approach to Slope Failure Monitoring in a Landslide Susceptible Newly Built-Up Area: Topo-Geodetic Survey, UAV 3D Modelling and Ground-Penetrating Radar by Paul Sestras, Ștefan Bilașco, Sanda Roșca, Ioel Veres, Nicoleta Ilies, Artan Hysa, Velibor Spalević, Sorin M. Cîmpeanu

“…The findings provide valuable information about the dynamics of landslides and erosion for forecasting future movements and developing preventative strategies based on a new methodology that combines affordable and prevalent instrumentation and techniques.…”
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Monitoring Stock Market Returns: A Stochastic Approach by Filip Peovski, Violeta Cvetkoska, Predrag Trpeski, Igor Ivanovski

“…The data suggest that the portfolio relatively quickly, in four trading days, achieves equilibrium probabilities that allow a certain amount of predictability of future movements. At the same time, when analyzing the expected time intervals for the first transition, we found that the portfolio returns to a state of growth much faster than a decline. …”
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Quantitative Risk Analysis of a Rainfall-Induced Complex Landslide in Wanzhou County, Three Gorges Reservoir, China by Lili Xiao, Jiajia Wang, Yanbo Zhu, Jun Zhang

“…To discuss the stability and future movements of the remaining unstable debris deposits, we developed a geotechnical model of the post-slide slope, calculated how it can slide again in an extreme rainfall scenario, and estimated the potential runout distance using the Tsunami Squares method. …”
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The potential of robot eyes as predictive cues in HRI—an eye-tracking study by Linda Onnasch, Paul Schweidler, Helena Schmidt

“…Robots currently provide only a limited amount of information about their future movements to human collaborators. In human interaction, communication through gaze can be helpful by intuitively directing attention to specific targets. …”
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Error-independent effect of sensory uncertainty on motor learning when both feedforward and feedback control processes are engaged. by Christopher L Hewitson, David M Kaplan, Matthew J Crossley

“…Over longer timescales, errors induce adaptation in feedforward planning so that future movements become more accurate and require less online adjustment from feedback control processes. …”
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