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Browsing by Keyword : Machine learning

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Showing results 1 to 58 of 58

A decision making model for chemical accident responses based on machine learning
  • 2019-01-01
  • Perspectives on Process Safety from Around the World 2019, Held at the 2019 AIChE Spring Meeting and 15th Global Congress on Process Safety, pp.477-488
  • AIChE
A reliable sensor network infrastructure for electric vehicles to enable dynamic wireless charging based on machine learning techniqueoa mark
  • 2020-01-01
  • IEEE Access, Vol.8, pp.187933-187947
  • Institute of Electrical and Electronics Engineers Inc.
A study of tropical cyclone impact on the power distribution grid in South Korea for estimating damage
  • 2022-03-01
  • Renewable and Sustainable Energy Reviews, Vol.156
  • Elsevier Ltd
A versatile strategy for hybridizing small experimental and large simulation data: A case for ceramic tape-casting processoa mark
  • Kim, Jeong Hun;
  • Ko, Hyunseok;
  • Yeo, Dong Hun;
  • Park, Zeehoon;
  • Kumar, Upendra;
  • Yoo, Kwan Hee;
  • Nasridinov, Aziz;
  • Cho, Sung Beom
  • 2023-10-01
  • Materials and Design, Vol.234
  • Elsevier Ltd
Accelerating ML/DL Applications With Hierarchical Caching on Deduplication Storage Clustersoa mark
  • 2022-12-01
  • IEEE Transactions on Big Data, Vol.8 No.6, pp.1622-1636
  • Institute of Electrical and Electronics Engineers Inc.
Achieving Robust and Accurate Power Distribution Grid Damage Forecasting via a Two-Stage Forecasting Method
  • 2020-03-01
  • Proceedings of 2020 4th International Conference on Green Energy and Applications, ICGEA 2020, pp.153-157
  • Institute of Electrical and Electronics Engineers Inc.
Age and gender estimation using deep residual learning network
  • Lee, Seok Hee;
  • Hosseini, Sepidehsadat;
  • Kwon, Hyuk Jin;
  • Moon, Jaewon;
  • Koo, Hyung Il;
  • Cho, Nam Ik
  • 2018-05-30
  • 2018 International Workshop on Advanced Image Technology, IWAIT 2018, pp.1-3
  • Institute of Electrical and Electronics Engineers Inc.
Algae development in rivers with artificially constructed weirs: Dominant influence of discharge over temperature
  • 2024-03-01
  • Journal of Environmental Management, Vol.355
  • Academic Press
Analysis and Prediction of Nanowire TFET’s Work Function Variation
  • 2024-04-01
  • Journal of Semiconductor Technology and Science, Vol.24 No.2, pp.96-104
  • Institute of Electronics Engineers of Korea
Applications of the Text Mining Approach to Online Financial Information
  • 2022-01-01
  • Asia Pacific Journal of Information Systems, Vol.32 No.4, pp.770-802
  • Korean Society of Management Information Systems
Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
  • 2021-10-01
  • Journal of Building Engineering, Vol.42
  • Elsevier Ltd
Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer
  • 2023-03-01
  • Automation in Construction, Vol.147
  • Elsevier B.V.
Bandgap analysis of transition-metal dichalcogenide and oxide via machine learning approach
  • 2022-12-01
  • Journal of Physics and Chemistry of Solids, Vol.171
  • Elsevier Ltd
BIG-DATA 분석을 이용한 비상대피명령 예측 연구
  • 김화평
  • 2017-02
  • The Graduate School, Ajou University
Comparison of ammonia volatilization in paddy and field soils fertilized with urea and ammonium sulfate during rice, potato, and Chinese cabbage cultivation
  • Lee, Yeon Jin;
  • Im, Eun Chae;
  • Lee, Gyesik;
  • Hong, Sung Chang;
  • Lee, Chang Gu;
  • Park, Seong Jik
  • 2024-04-01
  • Atmospheric Pollution Research, Vol.15 No.4
  • Elsevier B.V.
Comparison of anomaly detection accuracy of host-based intrusion detection systems based on different machine learning algorithmsoa mark
  • 2020-01-01
  • International Journal of Advanced Computer Science and Applications No.2, pp.252-259
  • Science and Information Organization
Critical scenario generation for collision avoidance of automated vehicles based on traffic accident analysis and machine learningoa mark
  • 2020-11-01
  • Transactions of the Korean Society of Automotive Engineers, Vol.28 No.11, pp.817-826
  • Korean Society of Automotive Engineers
Data compression and prediction using machine learning for industrial IoT
  • 2018-04-19
  • International Conference on Information Networking, Vol.2018-January, pp.818-820
  • IEEE Computer Society
Data-driven prediction method for power grid state subjected to heavy-rain hazardsoa mark
  • 2020-07-01
  • Applied Sciences (Switzerland), Vol.10 No.14
  • MDPI AG
DDoS Intrusions Detection in Low Power SD-IoT Devices Leveraging Effective Machine Learning
  • Ali, Jehad;
  • Song, Houbing Herbert;
  • Sharma, Vandana;
  • Al-Khasawneh, Mahmoud Ahmad
  • 2024-01-01
  • IEEE Transactions on Consumer Electronics
  • Institute of Electrical and Electronics Engineers Inc.
Development of a sdms (Self-diagnostic monitoring system) with prognostics for a reciprocating pump systemoa mark
  • 2020-06-01
  • Nuclear Engineering and Technology, Vol.52 No.6, pp.1188-1200
  • Korean Nuclear Society
Development of a service parts recommendation system using clustering and classification of machine learning
  • 2022-02-01
  • Expert Systems with Applications, Vol.188
  • Elsevier Ltd
Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniquesoa mark
  • Dewangan, Sheetal Kumar;
  • Jain, Reliance;
  • Bhattacharjee, Soumyabrata;
  • Jain, Sandeep;
  • Paswan, Manikant;
  • Samal, Sumanta;
  • Ahn, Byungmin
  • 2024-05-01
  • Journal of Materials Research and Technology, Vol.30, pp.2377-2387
  • Elsevier Editora Ltda
Fluorescent sensor array for high-precision pH classification with machine learning-supported mobile devices
  • 2021-09-01
  • Dyes and Pigments, Vol.193
  • Elsevier Ltd
Forecasting cyber threats through the text mining analysis of political news and security logs
  • 2020-01-01
  • ICIC Express Letters, Part B: Applications, Vol.11 No.6, pp.577-586
  • ICIC International
General-purpose sensor message parser using recurrent neural networks with stack memory
  • 2023-10-15
  • Expert Systems with Applications, Vol.228
  • Elsevier Ltd
Historical inference based on semi-supervised learningoa mark
  • 2018-09-15
  • Expert Systems with Applications, Vol.106, pp.121-131
  • Elsevier Ltd
Indolizine-based fluorescent compounds array for noninvasive monitoring of glucose in bio-fluids using on-device machine learning
  • Kim, Hyungi;
  • Lee, Sungmin;
  • Lee, Kyung Won;
  • Kim, Eun Su;
  • Kim, Hyung Mo;
  • Im, Hyungsoon;
  • Yoon, Hyun C.;
  • Ko, Jeong Gil;
  • Kim, Eunha
  • 2023-07-01
  • Dyes and Pigments, Vol.215
  • Elsevier Ltd
Integrated framework for incorporating sustainability design in software engineering life-cycle: An empirical study
  • 2021-01-01
  • Information and Software Technology, Vol.129
  • Elsevier B.V.
Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensingoa mark
  • Kim, Hyungi;
  • Choi, Sang Kee;
  • Ahn, Jungmo;
  • Yu, Hojeong;
  • Min, Kyoungha;
  • Hong, Changgi;
  • Shin, Ik Soo;
  • Lee, Sanghee;
  • Lee, Hakho;
  • Im, Hyungsoon;
et al
  • 2021-02-15
  • Sensors and Actuators, B: Chemical, Vol.329
  • Elsevier B.V.
Learning from routing information for detecting routing misbehavior in ad hoc networksoa mark
  • 2020-11-01
  • Sensors (Switzerland), Vol.20 No.21, pp.1-22
  • MDPI AG
Machine learning approaches for boredom classification using EEG
  • 2019-10-01
  • Journal of Ambient Intelligence and Humanized Computing, Vol.10 No.10, pp.3831-3846
  • Springer Verlag
Machine learning based quantitative consequence prediction models for toxic dispersion casualty
  • 2023-02-01
  • Journal of Loss Prevention in the Process Industries, Vol.81
  • Elsevier Ltd
Machine learning-based advertisement banner identification technique for effective piracy website detection processoa mark
  • 2022-01-01
  • Computers, Materials and Continua, Vol.71 No.2, pp.2883-2899
  • Tech Science Press
Machine learning-based identification and classification of physical fatigue levels: A novel method based on a wearable insole deviceoa mark
  • Antwi-Afari, Maxwell Fordjour;
  • Anwer, Shahnawaz;
  • Umer, Waleed;
  • Mi, Hao Yang;
  • Yu, Yantao;
  • Moon, Sungkon;
  • Hossain, Md Uzzal
  • 2023-01-01
  • International Journal of Industrial Ergonomics, Vol.93
  • Elsevier B.V.
Machine learning-enhanced design of lead-free halide perovskite materials using density functional theory
  • Kumar, Upendra;
  • Kim, Hyeon Woo;
  • Maurya, Gyanendra Kumar;
  • Raj, Bincy Babu;
  • Singh, Sobhit;
  • Kushwaha, Ajay Kumar;
  • Cho, Sung Beom;
  • Ko, Hyunseok
  • 2025-01-01
  • Current Applied Physics, Vol.69, pp.1-7
  • Elsevier B.V.
Multilayered review of safety approaches for machine learning-based systems in the days of AI
  • 2021-06-01
  • Journal of Systems and Software, Vol.176
  • Elsevier Inc.
Performance Enhancement of Deep Neural Network Using Feature Selection and Preprocessing for Intrusion Detection
  • 2019-03-18
  • 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019, pp.415-417
  • Institute of Electrical and Electronics Engineers Inc.
Prediction of issuance of emergency evacuation orders for chemical accidents using machine learning algorithm
  • 2018-11-01
  • Journal of Loss Prevention in the Process Industries, Vol.56, pp.162-169
  • Elsevier Ltd
Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm
  • Dewangan, Sheetal Kumar;
  • Sharma, Ashutosh;
  • Lee, Hansung;
  • Kumar, Vinod;
  • Ahn, Byungmin
  • 2023-10-05
  • Journal of Alloys and Compounds, Vol.958
  • Elsevier Ltd
Random Access Resource Selection in Mobile Networks with Machine Learning
  • BEKELE YARED ZERIHUN
  • 2022-02
  • The Graduate School, Ajou University
Reservoir-based flood forecasting and warning: deep learning versus machine learningoa mark
  • 2024-11-01
  • Applied Water Science, Vol.14 No.11
  • Springer Science and Business Media Deutschland GmbH
Silica-coated magnetic-nanoparticle-induced cytotoxicity is reduced in microglia by glutathione and citrate identified using integrated omicsoa mark
  • Shin, Tae Hwan;
  • Manavalan, Balachandran;
  • Lee, Da Yeon;
  • Basith, Shaherin;
  • Seo, Chan;
  • Paik, Man Jeong;
  • Kim, Sang Wook;
  • Seo, Haewoon;
  • Lee, Ju Yeon;
  • Kim, Jin Young;
et al
  • 2021-12-01
  • Particle and Fibre Toxicology, Vol.18 No.1
  • BioMed Central Ltd
The application of machine learning in self-adaptive systems: A systematic literature reviewoa mark
  • 2020-01-01
  • IEEE Access, Vol.8, pp.205948-205967
  • Institute of Electrical and Electronics Engineers Inc.
Unified learning to enhance adaptive behavior of simulation objects
  • 2018-11-01
  • Simulation, Vol.94 No.11, pp.979-992
  • SAGE Publications Ltd
VOCkit: A low-cost IoT sensing platform for volatile organic compound classification
  • 2021-03-15
  • Ad Hoc Networks, Vol.113
  • Elsevier B.V.
Volatile organic compounds recognition using a smartphone camera and fluorometric sensors
  • 2018-10-08
  • UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers, pp.1364-1371
  • Association for Computing Machinery, Inc
Who has given up on mathematics? A data analysis
  • 2021-12-01
  • Asia Pacific Education Review, Vol.22 No.4, pp.699-714
  • Springer Science and Business Media B.V.
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