Výsledky vyhledávání - "Data Handling"

Landmark publications in analytical atomic spectrometry: fundamentals and instrumentation development

Autoři: Chan, George C-Y Hieftje, Gary M. Omenetto, Nicoló a další

Zdroj: Applied Spectroscopy. 79(4):481-735

Témata: Atomic spectroscopy, chemical education, data handling, elemental analysis, isotope ratio, laser spectroscopy, optical imaging, plasma, sample introduction, spectrochemical analysis, spectrophysics, spectroscopic instrumentation

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-238578
https://doi.org/10.1177/00037028241263567

On the Benefits of Predictable Traffic in Virtual Switches: A Case Study

Autoři: Emil Ståhl Marco Chiesa Simone Ferlin a další

Zdroj: Proceedings of the Applied Networking Research Workshop on ZZZ. :113-119

Témata: Co-flow, Hardware solutions, Computer Sciences, Slow path, Communication Systems, Data planes, Open vswitch, Control planes, Packet processing, Data handling, Software-defined networkings, Datavetenskap (datalogi), Data-plane, Case-studies, Kommunikationssystem

Popis souboru: application/pdf

Přístupová URL adresa: http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-106654

P4-QUPF: A P4-Based QoS Framework for 5G-UPF

Autoři: Iqbal, Muhammad Shahid Elangovan, Muthuraman Chen, Chien a další

Zdroj: International Journal of Network Management. 35(6)

Témata: Bandwidth, Computer hardware, Data handling, Linux, Network architecture, Wireless networks, 5g core, 5g QoS, Data packet, Data planes, Data-plane, Free5gc, Programmable hardware, User data, User plane function, User planes, 5G mobile communication systems, Application programs, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-107417
https://doi.org/10.1002/nem.70028

On-Device Anomaly Detection in Conveyor Belt Operations

Autoři: Martinez Rau, Luciano Zhang, Yuxuan Oelmann, Bengt a další

Zdroj: IEEE Open Journal of Instrumentation and Measurement. 4

Témata: Anomaly Detection, Conveyor Belt, Edge Computing, Industry 4.0, Low-power Microcontroller, Machine Learning, Tinyml, Data Handling, Data Mining, Decision Trees, Failure (mechanical), Heuristic Methods, Learning Systems, Microcontrollers, Pattern Matching, Pattern Recognition Systems, Preventive Maintenance, Random Forests, Bulk Materials, Conveyor Belts, Duty-cycle, F1 Scores, Low-power Microcontrollers, Machine-learning, Mining Operations, Belt Conveyors

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55661
https://doi.org/10.1109/OJIM.2025.3613073

Machine Learning-Based Prediction of Divorce Verdicts Using Posita Data and Imbalanced Data Handling: A Case Study in Padang Sidempuan

Autoři: Rahmadini, Rina Santoso, Bagus Jati

Zdroj: International Journal of Advances in Data and Information Systems; Vol. 6 No. 2 (2025): August 2025-International Journal of Advances in Data and Information Systems; 460-478

Témata: Machine Learning, Posita Data, Imbalanced Data Handling, Court Verdict Prediction, Divorce Case Analysis

Popis souboru: application/pdf

Přístupová URL adresa: http://ijadis.org/index.php/ijadis/article/view/1405

Yapay Öğrenme Tabanlı Mikrofaktoring Skorlama Modeli ve Kredi Risk Yönetim Sistemi Geliştirilmesi

Autoři: Sayar, Alperen Ates, Yigit Ertugrul, Seyit a další

Témata: Risk Management, Data Processing, Financial Data Analytic, Information Management, Factoring Scorecards, Fraud Detection, Microloans, Data Analytics, Machine-Learning, Financial Data Analytics, Credit Risk Management, Data Handling, Non Performing Loans, Risk Assessment, Microloan, Polars, Financial Data, Non Performing Loan, Crime, Factoring Scorecard, Polar

Přístupová URL adresa: https://hdl.handle.net/20.500.11779/3097

Big Data Testing Techniques: Taxonomy, Challenges and Future Trends

Autoři: Arshad, I. Alsamhi, S. H. Afzal, Wasif

Zdroj: Computers, Materials and Continua. 74(2):2739-2770

Témata: Big data, testing process, testing techniques, Data handling, Decision support systems, Equivalence classes, Software testing, Testing, Data systems, Data testing, Decision supports, Future trends, Large data volumes, Non-functional, Performance, Quality of data, Testing technique

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-61063
https://doi.org/10.32604/cmc.2023.030266

Phase Error Calculation Caused by Start-Stop Approximation in Processing FMCW Radar Signals for SAR Imaging

Autoři: Vu, Viet Thuy Ivanenko, Yevhen Pettersson, Mats

Zdroj: Project Multistatic High-Resolution Sensing at THz IEEE Access. 11:103669-103678

Témata: Apertures, backprojection, Error analysis, FMCW, Frequency modulation, phase error, Radar, Radar imaging, Radar measurements, Radar signal processing, ramp duration, Synthetic aperture radar, Approximation algorithms, Continuous wave radar, Data handling, Errors, Radar measurement, Aperture, Backprojections, Error calculations, Frequency modulated continous waves, Frequency-modulated-continuous-wave radars, Modulation time, Pulse radars, Radar signals

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25479
https://doi.org/10.1109/ACCESS.2023.3318009

An improved permeability estimation model using integrated approach of hybrid machine learning technique and Shapley additive explanation

Autoři: Christopher N. Mkono Chuanbo Shen Alvin K. Mulashani a další

Zdroj: Journal of Rock Mechanics and Geotechnical Engineering, Vol 17, Iss 5, Pp 2928-2942 (2025)

Témata: Hydrocarbon, Well logs, TA703-712, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Differential evolution, Shapley additive explanation (SHAP), Group method of data handling, Permeability

Přístupová URL adresa: https://doaj.org/article/94beb1432e5740c1aa27084714e28ea8

Requirements quality research artifacts: Recovery, analysis, and management guideline

Autoři: Frattini, Julian Montgomery, Lloyd Fucci, Davide a další

Zdroj: Journal of Systems and Software. 216

Témata: Artifact, Availability, Bayesian data analysis, Guideline, Requirements engineering, Data handling, Defects, Engineering research, Quality control, Recovery, Artifact management, Artifact recovery, Data set, Open science, Recovery management, Requirement engineering, Research artefacts, Information analysis

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26537
https://doi.org/10.1016/j.jss.2024.112120

Process quality assessment with imaging and acoustic monitoring during Laser Powder Bed Fusion

Autoři: Zhirnov, Ivan Panahi, Negar Åsberg, Mikael a další

Zdroj: Procedia CIRP. 111:363-367

Témata: acoustic features, data-centric, laser powder bed fusion, machine learning, material properties, monitoring, smart data, spattering, tool steel, Acoustic waves, Data acquisition, Data handling, Deep learning, Information analysis, Signal processing, Stochastic systems, Surface roughness, Acoustic monitoring, Acoustic signals, Data centric, Laser powders, Machine-learning, Powder bed, SMART datum, Maskinteknik, Mechanical Engineering, Materials Engineering, Materialteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-92582
https://doi.org/10.1016/j.procir.2022.08.167

AbspectroscoPY, a Python toolbox for absorbance-based sensor data in water quality monitoring

Autoři: Cascone, C. Murphy, K. R. Markensten, H. a další

Zdroj: Environmental Science. 8(4):836-848

Témata: Automation, Biogeochemistry, Curve fitting, Data handling, High level languages, Large dataset, Monitoring, Organic compounds, Potable water, Signal processing, Spectroscopic analysis, Surface waters, Time series, Time series analysis, Water quality, Water treatment, Water treatment plants, Absorbances, Dissolved organic matters, Drinking water treatment plants, Economic challenges, Environmental challenges, High-frequency measurement, Long-term trend, Natural organic matters, Sensors data, Water quality monitoring, Python, drinking water, organic matter, pollutant removal, removal experiment, surface water, water treatment plant

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-323505
https://doi.org/10.1039/d1ew00416f

Equivalence classes and conditional hardness in massively parallel computations

Autoři: Na Nongkai, Danupon Scquizzato, M.

Zdroj: Distributed computing. 35(2):165-183

Témata: Conditional hardness, Fine-grained complexity, Massively Parallel Computation, Complex networks, Computational complexity, Data handling, Graph theory, Complexity class, Fine grained, Large-scale data processing, Low bound, Massively parallels, Parallel Computation, Parallel computation model, Equivalence classes

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-319607
https://doi.org/10.1007/s00446-021-00418-2

A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation

Autoři: Md. Alamgir Hossain Sadman Saif Md. Saiful Islam

Zdroj: Complex & Intelligent Systems, Vol 11, Iss 10, Pp 1-23 (2025)

Témata: Federated IoT security, Privacy-preserving intrusion detection, SHAP-based knowledge distillation, Decentralized feature aggregation, Non-IID data handling, Botnet detection in IoT, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Přístupová URL adresa: https://doaj.org/article/c2d81e61611f483fbc86b53f872563cd

MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease

Autoři: B. Dhanalaxmi B. Naveen Kumar Yeligeti Raju a další

Zdroj: Journal of Engineering and Applied Science, Vol 72, Iss 1, Pp 1-33 (2025)

Témata: MobileNetV3, Missing data handling, Cardiovascular disease, CVD classification, Pre-processing, Datasets, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1110-1903; https://doaj.org/toc/2536-9512

Přístupová URL adresa: https://doaj.org/article/4a9c339fdba347d7abc29eecddc62928

Sensor fusion and convolutional neural networks for indoor occupancy prediction using multiple low-cost low-resolution heat sensor data

Autoři: Arvidsson, Simon Gullstrand, Marcus Sirmacek, Beril a další

Zdroj: Sensors. 21(4):1-21

Témata: Artificial intelligence (AI), Heat sensors, Machine learning, Multi-sensor, Neural networks, Occupancy prediction, Sensor fusion, Smart offices, Air conditioning, Convolution, Costs, Data handling, Energy conservation, Energy utilization, Forecasting, Intelligent buildings, Sensor data fusion, Ventilation, Activity informations, High resolution sensors, Low resolution, Occupancy predictions, Privacy concerns, Realtime processing, Reduce energy consumption, Ventilation systems, Convolutional neural networks

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51845
https://doi.org/10.3390/s21041036

LSTM-based Energy Management for Electric Vehicle Charging in Commercial-building Prosumers

Autoři: Zhou, H. Zhou, Y. Hu, J. a další

Zdroj: Journal of Modern Power Systems and Clean Energy. 9(5):1205-1216

Témata: Building energy management system (BEMS), electric vehicle (EV), long short-term memory (LSTM), machine learning, prosumer, recurrent neural network, Electric vehicles, Energy management, Energy management systems, Forecasting, Learning algorithms, Long short-term memory, Office buildings, Optimization, Photovoltaic cells, Solar power generation, Building energy management system, Building energy management systems, Commercial building, Conventional optimization, Electric vehicle, Electric vehicle charging, Memory algorithms, Offline, Data handling

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-312043
https://doi.org/10.35833/MPCE.2020.000501

Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships

Autoři: Theodoros Kyriazos Mary Poga

Zdroj: Encyclopedia, Vol 4, Iss 4, Pp 1790-1805 (2024)

Témata: nonlinear relationships, predictive analytics, machine learning in social sciences, Science, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, model interpretability, 02 engineering and technology, imbalanced data handling, 0506 political science

Přístupová URL adresa: https://doaj.org/article/5a6424fd6f244354b88e0270e783f920

A focal loss and sequential analytics approach for liver disease classification and detection

Autoři: Musa Mustapha Oluwadamilare Harazeem Abdulganiyu Isah Ndakara Abubakar a další

Zdroj: Healthcare Analytics, Vol 8, Iss , Pp 100424- (2025)

Témata: Attention mechanism analytics, Sequential pattern recognition, Imbalanced data handling, Predictive model evaluation, Clinical decision analytics, Medical data interpretation, Computer applications to medicine. Medical informatics, R858-859.7

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772442525000437; https://doaj.org/toc/2772-4425

Přístupová URL adresa: https://doaj.org/article/a4ce3e6d2e634270b1738f2580bd490d

Process mining and production routing fast profiling for data-driven digital twins

Autoři: Lopes, Paulo Victor Lugaresi, Giovanni Verri, Filipe Alves Neto a další

Přispěvatelé: Lopes, Paulo Victor Lugaresi, Giovanni Verri, Filipe Alves Neto a další

Zdroj: ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev. :171-177

Témata: Mathematics, Interdisciplinary Applications, Technology, Science & Technology, Process Mining, Operations Research & Management Science, Physical Sciences, Computer Science, Mathematics, Applied, Computer Science, Interdisciplinary Applications, Data Handling, Mathematics, Digital Twins, Simulation