Suchergebnisse - "Real-time Processing"

Contributions to RFI detection, mitigation, and excision for GNSS receivers and spaceborne microwave radiometers

Autoren: Pérez Portero, Adrián

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Camps Carmona, Adriano José, Hyuk, Park

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Radio Frequency Interference (RFI), GNSS Reflectometry (GNSS-R), Microwave Radiometry, Signal Processing, Remote Sensing, Polarimetric Detection, FPGA Implementation, Space-Qualified Systems, SMAP-R Mission, Bistatic Radar, Interference Mitigation, Earth Observation, Scattering Models, Real-Time Processing, Software-Defined Radio, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694489
https://dx.doi.org/10.5821/dissertation-2117-430037

Highly scalable hardware architecture for real-time execution of spiking neural networks applied to neural cognitive applications

Autoren: Vallejo Mancero, Bernardo Javier

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica

Thesis Advisors: Madrenas Boadas, Jordi, Zapata Rodríguez, Mireya Patricia

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Spiking Neural Networks (SNN), Neuromorphic Computing, HEENS Architecture, Real-time Processing, FPGA Implementation, Synaptic Plasticity, Spiking neural models, Real-time sensor processing, Redes Neuronales de Impulsos (SNN), Computación Neuromórfica, Procesamiento en Tiempo Real, Implementación en FPGA, Plasticidad Sináptica, Modelos Neuronales de Impulsos, Procesamiento de Sensores en Tiempo Real, Xarxes Neuronals de POlsos (SNN), Computació Neuromòrfica, Arquitectura HEENS, Processament en Temps Real, Implementació en FPGA, Plasticitat Sinàptica, Models Neuronals de Polsos, Processament de Sensors en Temps Real, Àrees temàtiques de la UPC::Enginyeria electrònica, Àrees temàtiques de la UPC::Informàtica, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions, 004 - Informàtica

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694228
https://dx.doi.org/10.5821/dissertation-2117-427834

Membangun Taxonomy Riset Big Data Analytics dan Business Intelligence: Systematic Literature Review dalam Konteks Manajemen Informatika

Autoren: Tribuana, Dhimas Dewi Haryanti Agustan, Andi Hidayat et al.

Quelle: Jurnal Teknologi dan Bisnis Cerdas. 1:140-154

Schlagwörter: Business Intelligence, Big Data Analytics, Artificial Intelligence, Generative AI, Real-Time Processing, Data Governance, Taxonomy

Dateibeschreibung: application/pdf

Applying machine learning to safe vascular anastomosis

Autoren: Hiroki Umezawa Akatsuki Kondo Marie Taga et al.

Quelle: JPRAS Open
JPRAS Open, Vol 45, Iss, Pp 203-211 (2025)

Schlagwörter: Microsurgery, Artificial intelligence, RD1-811, Real-time processing, Surgery, Original Article, Vascular anastomosis, Machine-learning

Zugangs-URL: https://doaj.org/article/fda4c450f6c644c59a97ab30cc4f363b

Enhancing accuracy in dynamic pose estimation for sports competitions using HRPose: A hybrid approach integrating SinglePose AI

Autoren: Rui Han Mingnong Yi Wei Feng et al.

Quelle: Alexandria Engineering Journal, Vol 127, Iss, Pp 200-213 (2025)

Schlagwörter: Sports analysis, Human pose estimation, Real-time processing, Keypoint localization, Deep learning, SinglePose AI, TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/533ac7e2fe9a4d6a9ceccb6a0a8f9370

GBiDC-PEST: A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment

Autoren: Weiyue Xu Ruxue Yang Raghupathy Karthikeyan et al.

Quelle: Journal of Integrative Agriculture, Vol 24, Iss 7, Pp 2749-2769 (2025)

Schlagwörter: pest detection, algorithm deployment, Agriculture (General), mobile counting, tiny object identification, real-time processing, S1-972

Zugangs-URL: https://doaj.org/article/10c3a3b7c20a44c3adaed855a060cff2

Advancements in Fire Detection: A Review of Computer Vision and Deep Learning Approaches

Autoren: Antonio Antunović Rebeca Marković Mario Karajko et al.

Quelle: 2025 MIPRO 48th ICT and Electronics Convention. :50-56

Schlagwörter: Convolutional Neural Networks (CNN) Model, Computer Vision, Deep-Learning Algorithms, Fire Detection, Real-Time Processing, YOLO Model, Drones, Internet of Things (IoT)

Anomaly detection in market data for fraud and risk monitoring

Autoren: Ogunruku, Oyindamola Omolara Samuel, Isaiah Chukwudi

Quelle: International Journal of Science and Research Archive. 15:1647-1656

Schlagwörter: Market Data, Machine Learning, Fraud Detection, Anomaly Detection, Risk Monitoring, Predictive Analytics, Real-Time Processing, Financial Technology

Real-time bidding optimization in AdTech using edge-embedded systems

Autoren: Gupta, Rahul

Quelle: World Journal of Advanced Research and Reviews. 26:216-225

Schlagwörter: Privacy-Preserving Advertising, Big Data, Distributed Architecture, Real-Time Bidding, Edge Computing, Real-Time Processing, Latency Optimization

Leveraging analytics integration in enterprise systems: A technical perspective

Autoren: Patel, Dipteshkumar Madhukarbhai

Quelle: World Journal of Advanced Research and Reviews. 26:969-985

Schlagwörter: Data Integration, Machine Learning, Real-Time Processing, Analytics Architecture, Enterprise Systems

Data governance and ethics in AI-Powered Platforms

Autoren: Singh, Alok

Quelle: World Journal of Advanced Research and Reviews. 26:398-406

Schlagwörter: Deep Learning Analytics, Edge-AI Integration, Real-Time Processing, Data Governance Ethics, Distributed Intelligence

Object detection in real-time video surveillance using attention based transformer-YOLOv8 model

Autoren: Divya Nimma Omaia Al-Omari Rahul Pradhan et al.

Quelle: Alexandria Engineering Journal, Vol 118, Iss, Pp 482-495 (2025)

Schlagwörter: Object detection, Real-time processing, YOLOv8, Attention mechanism, TA1-2040, Engineering (General). Civil engineering (General), Transformer architecture

Zugangs-URL: https://doaj.org/article/60654c346f8642deb3573cab15a443f0

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

Autoren: Víctor Leiva Muhammad Zia Ur Rahman Muhammad Azeem Akbar et al.

Weitere Verfasser: Víctor Leiva Muhammad Zia Ur Rahman Muhammad Azeem Akbar et al.

Quelle: IEEE Access, Vol 13, Pp 22055-22073 (2025)

Schlagwörter: Sensor-based gesture recognition, Microcontroller, Real-time processing, Sign language recognition, MPU-6050 device, TK1-9971, Assistive technology, Raspberry Pi 3B, flex sensor glove, Kalman filter, Electrical engineering. Electronics. Nuclear engineering, Flex sensor glove, Raspberry Pi 3B microcontroller, real-time processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/58deb22009bb42919f44def06c46a648
https://hdl.handle.net/1822/96194

UAV platform for special operation

Autoren: Klouda, Jan Marcoň, Petr

Quelle: Proceedings II of the 31st Conference STUDENT EEICT 2025: Selected papers. :241-246

Schlagwörter: obstacle avoidance, LiDAR, visual odometry, GNSS-denied environments, UAV, SLAM, deep learning, ROS 2, trajectory planning, autonomous navigation, multi-sensor integration, real-time processing, modular drone platform

Dateibeschreibung: text; application/pdf

Zugangs-URL: https://hdl.handle.net/11012/255361

Streaming Large-Scale Microscopy Data to a Supercomputing Facility

Autoren: Welborn, Samuel S Harris, Chris Ribet, Stephanie M et al.

Quelle: Microscopy and Microanalysis. 31(1)

Schlagwörter: 3101 Biochemistry and Cell Biology (for-2020), 40 Engineering (for-2020), 4016 Materials Engineering (for-2020), 31 Biological Sciences (for-2020), Networking and Information Technology R&D (NITRD) (rcdc), 7 Affordable and Clean Energy (sdg), streaming, 4D-STEM, high-performance computing, real-time processing, zmq, 4D-STEM, high-performance computing, real-time processing, streaming, zmq, 0204 Condensed Matter Physics (for), 0601 Biochemistry and Cell Biology (for), 0912 Materials Engineering (for), Microscopy (science-metrix), 3101 Biochemistry and cell biology (for-2020), 4016 Materials engineering (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/0rt7s9r5
https://escholarship.org/content/qt0rt7s9r5/qt0rt7s9r5.pdf

Adaptive Ensemble Learning for Real-Time Anomaly Detection in 5G Networks

Autoren: Agus Dendi Rachmatsyah Benny Wijaya Syafrul Irawadi et al.

Quelle: Jurnal Ilmiah Informatika dan Komputer, Vol 2, Iss 2, Pp 81-85 (2025)

Schlagwörter: 5g, anomaly detection, data streaming, real-time processing, ensemble algorithms, network security, machine learning, Information technology, T58.5-58.64

Dateibeschreibung: electronic resource

Relation: https://ejournal.rizaniamedia.com/index.php/informatech/article/view/378; https://doaj.org/toc/3047-4752

Zugangs-URL: https://doaj.org/article/ace4d6353e7147329508d55e6f932af8

PDC-DETR: a Parallel Dilated Convolutional Detection Transformer for preliminary screening of multiple macular degeneration

Autoren: Yuhang Wang Wenhao Wei Xinghao Pei et al.

Quelle: BMC Medical Imaging, Vol 25, Iss 1, Pp 1-14 (2025)

Schlagwörter: Optical coherence tomography, Transformer, Macular degeneration, Feature extraction, Real-time processing, Medical technology, R855-855.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1471-2342

Zugangs-URL: https://doaj.org/article/955aea9928144f9e9e0142bef0a2c27a

Fast highway abandoned object detection via block-based multi-group foreground extraction

Autoren: Dian Liu Haoxiang Wang Xiujie Zhang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-27 (2025)

Schlagwörter: Abandoned object detection, Highway, Foreground extraction, Trajectories tracking, Real-time processing, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/b4dc9806519a48269dbba205f9b0ebe1

AHOD: adaptive hybrid object detector for context-aware and real-time object detection in complex environments

Autoren: Serge Stéphane Aman Behou Gérard N’guessan Kouadio Prosper Kimou et al.

Quelle: Discover Applied Sciences, Vol 7, Iss 11, Pp 1-40 (2025)

Schlagwörter: Object detection, Real-time processing, Deep learning, Adaptive hybrid model, Context-aware AI, Adaptive hybrid object detector (AHOD), Science (General), Q1-390

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/3004-9261

Zugangs-URL: https://doaj.org/article/4c49438f801442798361f8c468c2a265

Building an intelligent inventory optimization system: A technical overview

Autoren: Kota, Akhilesh

Quelle: International Journal of Science and Research Archive. 14:694-702

Schlagwörter: Inventory Optimization, Performance Analytics, Real-time Processing, Supply Chain Management, Machine Learning Integration