Search Results - "Upadhyay, Devesh"

Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation by Shi, Debo, Rahimpour, Alireza, Ghafourian, Amin, Naddaf Shargh, Mohammad Mahdi, Upadhyay, Devesh, Lasky, Ty A, Soltani, Iman

“…Pose estimation is crucial for automating assembly tasks, yet achieving sufficient accuracy for assembly automation remains challenging and part-specific. This…”
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Theoretical and experimental investigations of intermediate bands in ZnS–Mg nanocrystalline thin film photosensor by Dive, Avinash S., Huse, Nanasaheb P., Gattu, Ketan P., Birajdar, Ravikiran B., Upadhyay, Devesh R., Sharma, Ramphal

“…The electronic structure of ZnS and Mg-doped ZnS thin films were calculated by first principle investigation within the density functional theory. For…”
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Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center by Ghafourian, Amin, Shui, Huanyi, Upadhyay, Devesh, Gupta, Rajesh, Filev, Dimitar, Soltani, Iman

“…Autoencoders have been extensively used in the development of recent anomaly detection techniques. The premise of their application is based on the notion that…”
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An early assessment of Persistent Depression Disorder using machine learning algorithm by Upadhyay, Devesh Kumar, Mohapatra, Subrajeet, Singh, Niraj Kumar

“…Although various algorithms and strategies have been proposed for predicting depression and anxiety, none of the work is still suggested for an automated…”
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Mixture Design of High-Strength Geopolymer Concrete by Upadhyay, Devesh, Chanda, Abhishek, Thakkar, Sonal

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Delayed Lagrangian continuum models for on-board traffic prediction by Molnár, Tamás G., Upadhyay, Devesh, Hopka, Michael, Van Nieuwstadt, Michiel, Orosz, Gábor

“…In this paper we build Lagrangian continuum traffic flow models that are able to utilize trajectory information transmitted between connected vehicles via…”
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Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving by Rahimpour, Alireza, Fallahinia, Navid, Upadhyay, Devesh, Miller, Justin

“…The performance of the current collision avoidance systems in Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) can be drastically…”
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Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions by Hnewa, Mazin, Rahimpour, Alireza, Miller, Justin, Upadhyay, Devesh, Radha, Hayder

“…RGB-based pedestrian detection is a challenging task in low light and adverse weather conditions because image quality can degrade rather significantly…”
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Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems by Chen, Zhiyi, Maske, Harshal, Shui, Huanyi, Upadhyay, Devesh, Hopka, Michael, Cohen, Joseph, Lai, Xingjian, Huan, Xun, Ni, Jun

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Ammonia Loading Detection of Zeolite SCR Catalysts using a Radio Frequency based Method by Rauch, Dieter, Kubinski, David, Cavataio, Giovanni, Upadhyay, Devesh, Moos, Ralf

“…Ammonia adsorption on the catalyst surface is a crucial step in the selective catalytic reduction of nitrogen oxides over zeolites with NH₃ as the reducing…”
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Special issue on Internet of Things (IoT) for in-vehicle systems by Hwang, Jenq-Neng, Kuo, Sy-Yen, Binotto, Alécio P.D., Upadhyay, Devesh, Hung, Patrick C.K.

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Control Design of Electrically Assisted Boosting Systems for Diesel Powertrain Applications by Glenn, Bradley Charles, Upadhyay, Devesh, Washington, Gregory N

“…In this paper, we investigate the control design problem associated with the use of an electrically assisted turbo-charger (TC) for a modern Diesel engine…”
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BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training by Balakrishnan, Kaushik, Upadhyay, Devesh

“…The task of 2D human pose estimation is challenging as the number of keypoints is typically large (~ 17) and this necessitates the use of robust neural network…”
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Stochastic Adversarial Koopman Model for Dynamical Systems by Balakrishnan, Kaushik, Upadhyay, Devesh

“…Dynamical systems are ubiquitous and are often modeled using a non-linear system of governing equations. Numerical solution procedures for many dynamical…”
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Deep Koopman Learning using the Noisy Data by Hao, Wenjian, Upadhyay, Devesh, Mou, Shaoshuai

“…This paper proposes a data-driven framework to learn a finite-dimensional approximation of a Koopman operator for approximating the state evolution of a…”
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Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications by Pitale, Mandar, Abbaspour, Alireza, Upadhyay, Devesh

“…This paper explores the role and challenges of Artificial Intelligence (AI) algorithms, specifically AI-based software elements, in autonomous driving systems…”
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Deep Adversarial Koopman Model for Reaction-Diffusion systems by Balakrishnan, Kaushik, Upadhyay, Devesh

“…Reaction-diffusion systems are ubiquitous in nature and in engineering applications, and are often modeled using a non-linear system of governing equations…”
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Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index by Khademi, Aria, Hopka, Michael, Upadhyay, Devesh

“…Safety goes first. Meeting and maintaining industry safety standards for robustness of artificial intelligence (AI) and machine learning (ML) models require…”
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FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving by Rahimpour, Alireza, Fallahinia, Navid, Upadhyay, Devesh, Miller, Justin

“…The performance of the current collision avoidance systems in Autonomous Vehicles (AV) and Advanced Driver Assistance Systems (ADAS) can be drastically…”
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Quantum-Inspired Optimization over Permutation Groups by Munukur, Rathi, Bardhan, Bhaskar Roy, Upadhyay, Devesh, Ghosh, Joydip

“…Quantum-inspired optimization (QIO) algorithms are computational techniques that emulate certain quantum mechanical effects on a classical hardware to tackle a…”
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