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View article: Improving the direct determination of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mo stretchy="false">|</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mrow><mml:mi>t</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:msub><mml:mo stretchy="false">|</mml:mo></mml:math> using deep learning
Improving the direct determination of using deep learning Open
An s-jet tagging approach to determine the Cabibbo-Kobayashi-Maskawa matrix component |Vts| directly in the dileptonic final state events of the top pair production in proton-proton collisions has been previously studied by measuring the b…
View article: Optimizing clarification processes in biopharmaceutical manufacturing through quality by design: Strategies, implications, and future prospects
Optimizing clarification processes in biopharmaceutical manufacturing through quality by design: Strategies, implications, and future prospects Open
Biopharmaceutical manufacturing processes in which the product of interest is extracellularly expressed typically employ a clarification step following cell culture or fermentation. During clarification, crude cell culture fluid or ferment…
View article: Energy-based Preference Optimization for Test-time Adaptation
Energy-based Preference Optimization for Test-time Adaptation Open
Test-Time Adaptation (TTA) enhances model robustness by enabling adaptation to target distributions that differ from training distributions, improving real-world generalizability. Existing TTA approaches focus on adjusting the conditional …
View article: Identification of $tqg$ flavor-changing neutral current interactions using machine learning techniques
Identification of $tqg$ flavor-changing neutral current interactions using machine learning techniques Open
Flavor-changing neutral currents (FCNCs) are forbidden at tree level in the Standard Model (SM), but they can be enhanced in physics Beyond the Standard Model (BSM) scenarios.In this paper, we investigate the effectiveness of deep learning…
View article: Improving the Direct Determination of $|V_{ts}|$ using Deep Learning
Improving the Direct Determination of $|V_{ts}|$ using Deep Learning Open
An $s$-jet tagging approach to determine the Cabibbo-Kobayashi-Maskawa matrix component $|V_{ts}|$ directly in the dileptonic final state events of the top pair production in proton-proton collisions has been previously studied by measurin…
View article: MTFENet: A Multi-Task Autonomous Driving Network for Real-Time Target Perception
MTFENet: A Multi-Task Autonomous Driving Network for Real-Time Target Perception Open
Effective autonomous driving systems require a delicate balance of high precision, efficient design, and immediate response capabilities. This study presents MTFENet, a cutting-edge multi-task deep learning model that optimizes network arc…
View article: Identification of $tqg$ flavor-changing neutral current interactions using machine learning techniques
Identification of $tqg$ flavor-changing neutral current interactions using machine learning techniques Open
Flavor-changing neutral currents (FCNCs) are forbidden at tree level in the Standard Model (SM), but they can be enhanced in physics Beyond the Standard Model (BSM) scenarios.To test these potential enhancements, we investigate the product…
View article: Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter
Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter Open
We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter with longitudinal and transverse segmentation (FoCal-E) of …
View article: MVDet: multi-view multi-class object detection without ground plane assumption
MVDet: multi-view multi-class object detection without ground plane assumption Open
Although many state-of-the-art methods of object detection in a single image have achieved great success in the last few years, they still suffer from the false positives in crowd scenes of the real-world applications like automatic checko…
View article: Top quark pair reconstruction using an attention-based neural network
Top quark pair reconstruction using an attention-based neural network Open
For many top quark measurements, it is essential to reconstruct the top quark from its decay products. For example, the top quark pair production process in the all-jets final state has six jets initiated from daughter partons and addition…
View article: Muon Trigger using Deep Neural Networks accelerated by FPGAs
Muon Trigger using Deep Neural Networks accelerated by FPGAs Open
Accuracy and latency are crucial to the trigger system in high luminosity particle physics experiments. We investigate the usage of deep neural networks (DNN) to improve the accuracy of the muon track segment reconstruction process at the …
View article: Zero-Permutation Jet-Parton Assignment using a Self-Attention Network
Zero-Permutation Jet-Parton Assignment using a Self-Attention Network Open
In high-energy particle physics events, it can be advantageous to find the jets associated with the decays of intermediate states, for example, the three jets produced by the hadronic decay of the top quark. Typically, a goodness-of-associ…
View article: Quark-Gluon Jet Discrimination Using Convolutional Neural Networks
Quark-Gluon Jet Discrimination Using Convolutional Neural Networks Open
Currently, newly developed artificial intelligence techniques, in particular\nconvolutional neural networks, are being investigated for use in\ndata-processing and classification of particle physics collider data. One such\nchallenging tas…