25 papers · ranked by Valyu relevance
Katerina Lukasova, Mariana P. Nucci, Raymundo Machado de Azevedo Neto, Gilson Vieira + 3 more
'Gilson Vieira' 'João R. Sato' 'Edson Amaro Jr' 'Mark W. Greenlee'] Saccades were assessed in 21 adults (age 24 years, SD = 4) and 15 children (age 11 years, SD = 1), using combined functional magnetic resonance imaging (fMRI) and eye-tracking. Subjects visually tracked a point on a horizontal line in four conditions…
Jun Maruta, Kristin J. Heaton, Elisabeth M. Kryskow, Alexis L. Maule + 1 more
'Jamshid Ghajar'] When a moving target is tracked visually, spatial and temporal predictions are used to circumvent the neural delay required for the visuomotor processing. In particular, the internally generated predictions must be synchronized with the external stimulus during continuous tracking. We examined the…
Jean-Charles Quinton, Bernard Girau
Prediction and competition mechanisms are here combined into a neuro-inspired computational model in order to enhance robustness for spatiotemporal tracking and pattern recognition tasks. The research presented in this abstract extends the initial experimental results and mathematical accuracy proof obtained with a…
Zhengpeng Yang, Jiyan Yu, Miao Liu, Tongxing Peng + 2 more
'Stephan Sand'] Accurate trajectory prediction of concealed targets in complex, interference-laden environments present a formidable challenge for millimeter-wave sensor tracking systems. To address this, we propose a state-of-the-art autonomous prediction framework that integrates an Improved Sequential Variational…
Harris Georgiou, Σοφία Καραγιώργου, Yannis Kontoulis, Nikos Pelekis + 3 more
'Petros Petrou' 'David Scarlatti' 'Yannis Theodoridis'] The tremendous growth of positioning technologies and GPS enabled devices has produced huge volumes of tracking data during the recent years. This source of information constitutes a rich input for data analytics processes, either offline (e.g. cluster analysis…
Christopher Tyson, Santosh Gaire, Ian Pegg, Abhijit Sarkar
We present a method for tracking densely clustered, high-velocity, indistinguishable objects being spawned at a high rate and moving in a directed force field using only object centroids as inputs and no other image information. The algorithm places minimal restrictions on the velocities or accelerations of the objects…
Yiming Zhao, Xuanqi Meng, Xinyu Tong, Xiulong Liu + 2 more
—Wi-Fi contact-free sensing systems have attracted widespread attention due to their ubiquity and convenience. The integrated sensing and communication (ISAC) technology utilizes off-the-shelf Wi-Fi communication signals for sensing, which further promotes the deployment of intelligent sensing applications. However…
Inmaculada Márquez, Mario Treviño
Interception, a fundamental visuomotor skill for activities such as driving and sports, involves two main strategies: predictive, anticipating the target’s trajectory, and prospective, actively tracking and adjusting movement. Experimentally controlled factors could potentially influence the relative usage of these…
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…
Seng Bum Michael Yoo, Jiaxin Cindy Tu, Steven T. Piantadosi, Benjamin Yost Hayden
It remains unclear how and to what extent non-human animals make demanding on-the-fly predictions during pursuit. We studied this problem in a novel laboratory pursuit task that incentivizes prediction of future prey positions. We trained three macaques to perform joystick-controlled pursuit of prey that followed…
Juliane Schubert, Quirin Gehmacher, Fabian Schmidt, Thomas Hartmann + 1 more
Auditory speech comprehension is a multi-faceted process in which attention, prediction, and sensorimotor integration (via active sensing) interact with or complement each other. Although different conceptual models that focus on one of these aspects exist, we still lack a unified understanding of their role in speech…
Xinshuo Weng, Boris Ivanovic, Marco Pavone
— Recently, there has been tremendous progress in developing each individual module of the standard perceptionplanning robot autonomy pipeline, including detection, tracking, prediction of other agents' trajectories, and ego-agent trajectory planning. Nevertheless, there has been less attention given to the principled…
Jose Luis Peralta-Cabezas, Miguel Torres‐Torriti, Marcelo Guarini-Hermann
This paper presents a performance comparison of different estimation and prediction techniques applied to the problem of tracking multiple robots. The main performance criteria are the magnitude of the estimation or prediction error, the computational effort and the robustness of each method to non-Gaussian noise.…
Olgerta Asko, Vegard A. Volehaugen, Anaïs Llorens, Ingrid Funderud + 9 more
Humans extract regularities from the environment to form expectations that guide perception and optimize behavior. Although the prefrontal cortex (PFC) is central to this process, the relative contributions of orbitofrontal (OFC) and lateral PFC (LPFC) remain unclear. Here, we show that the brain tracks sound…
Yin Wang, Yan Cao, Felipe Gonzalez Toro, Antonios Tsourdos
Recent advances in computer science and electronics have greatly expanded the capabilities of unmanned aerial vehicles (UAV) in both defense and civil applications, such as moving ground object tracking. Due to the uncertainties of the application environments and objects’ motion, it is difficult to maintain the…
Sergio Delle Monache, Pietro Nastasi, Gianluca Paolocci, Francesco Scalici + 4 more
During ocular tracking of a target, contextual information provides useful cues to account for motion features the visual system is poorly sensitive to, like its acceleration. For example, the brain can rely on an internal model of gravity to intercept and track accelerated targets under gravity, and cues about the…
Giovanni Pezzulo, Alessandro D'Ausilio, Andrea Gaggioli
The ability of “looking into the future”-namely, the capacity of anticipating future states of the environment or of the body-represents a fundamental function of human (and animal) brains. A goalkeeper who tries to guess the ball's direction; a chess player who attempts to anticipate the opponent's next move; or a…
Longyu Zhou, Supeng Leng, Luping Liu, Haoye Chai + 1 more
— Edge computing has emerged as a prospective paradigm to meet ever-increasing computation demands in Mobile Target Tracking Wireless Sensor Networks (MTT-WSN). This paradigm can offload time-sensitive tasks to sink nodes to improve computing efficiency. Nevertheless, it is difficult to execute dynamic and critical…
Xuedong Wang, Tiancheng Li, Shudong Sun, Juan M. Corchado
We review some advances of the particle filtering (PF) algorithm that have been achieved in the last decade in the context of target tracking, with regard to either a single target or multiple targets in the presence of false or missing data. The first part of our review is on remarkable achievements that have been…
Lance Rice, Samual Tate, David Farynyk, Joshua Sun + 5 more
'Gregory T. Chism' 'Daniel Charbonneau' 'Thomas Fasciano' 'Anna Dornhaus' 'Min Chul Shin'] Visual multi-object tracking has the potential to accelerate many forms of quantitative analyses, especially in research communities investigating the motion, behavior, or social interactions within groups of animals. Despite its…
Penelope Jones, Ulrich Stimming, Alpha Lee
Accurate forecasting of lithium-ion battery performance is important for easing consumer concerns about the safety and reliability of electric vehicles. Most research on battery health prognostics focuses on the R&D setting where cells are subjected to the same usage patterns, yet in practice there is great variability…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
Authors not listed
Accurate prediction of battery behavior under different dynamic operating conditions is critical for both fundamental research and practical applications. However, the diversity of emerging materials and cell architectures presents significant challenges to the generalizability of conventional prognostic approaches.…
Prashanth Athri, Vidhya Murali, Pradyumna Y Muralidhar, Cassandra Königs + 4 more
- 1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India - 2. PES Center for Pattern Recognition, Department of Computer Science and Engineering, PES University, Bengaluru, India - 3. Bioinformatics and Medical Informatics, Bielefeld University…
Authors not listed
Integrating machine learning (ML) into drug discovery has ushered in a new era of innovation, dramatically enhancing the efficiency and precision of identifying and developing new therapeutics. This review provides a comprehensive analysis of the current applications of machine learning in drug discovery, focusing on…