Results 181 to 190 of about 82,510 (316)

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

Advanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source

Lengths of factorizations of integer-valued polynomials on Krull domains with prime elements. [PDF]

Arch Math
Fadinger-Held V, Windisch D.
europepmc   +1 more source

Selective Update for Hardware‐Friendly On‐Chip Training in Distributed Analog In‐Memory Computing Systems

Advanced Intelligent Systems, EarlyView.
This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang, Sangjun Hong, Sangwook Kim, Sangbum Kim   +3 more
wiley   +1 more source

On Algebraic Properties of Primitive Eisenstein Integers with Applications in Coding Theory. [PDF]

Entropy (Basel)
Hadi A, Isnaini U, Wijayanti IE, Ezerman MF.   +3 more
europepmc   +1 more source

Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation

Advanced Intelligent Systems, EarlyView.
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang, Chenzhou Zhao, Bo Dai, Qi Wang, Dawei Zhang, Songlin Zhuang, Chao Ping Chen   +6 more
wiley   +1 more source

Parallel Implementation of Elliptic Curve Method for Integer Factorization Using Message-Passing Interface (MPI)

, 2001
E. Wolski, Joel G. S. Filho, Mário A. R. Dantas   +2 more
openalex   +2 more sources

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

Design and Experimental Validation of a Photocatalyst Recommender Based on a Large Language Model

Angewandte Chemie, EarlyView.
Choosing a photocatalyst for a given reaction can be challenging due to complex mechanisms and multiple parameters that govern the outcome of a photocatalyzed reaction. Herein, we disclose a machine learning (ML) model that can suggest catalysts for a given reaction using an online portal.
Francis Millward, Michał Kulczykowski, Jay Badland‐Shaw, Sara Szymkuc, Rajan Suraksha, Aniket Kumar Srivastawa, Violaine Manet, Máire Griffin, Megan Bryden, Thomas Comerford, Lea Hämmerling, Aminata Mariko, Bartosz A. Grzybowski, Eli Zysman‐Colman   +13 more
wiley   +2 more sources

A Lightweight Key Agreement Protocol for V2X Communications Based on Kyber and Saber. [PDF]

Sensors (Basel)
Dai Y, Wang Q, Song X, Wang S.
europepmc   +1 more source

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

Advanced Intelligent Systems, EarlyView.
Worklow for calibrating excursion sets of random fields using methods from generative artificial intelligence. This article presents a computational method for generating virtual 3D morphologies of functional materials using low‐parametric stochastic geometry models, that is, digital twins, calibrated with 2D microscopy images.
Orkun Furat, Sabrina Weber, Anina Dufter, Johannes Schubert, René Rekers, Maximilian Luczak, Erik Glatt, Andreas Wiegmann, Jürgen Janek, Anja Bielefeld, Volker Schmidt   +10 more
wiley   +1 more source