104 citations as recorded by crossref.

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9. Design and implementation of smart pressure sensor for automotive applications H. Soy & İ. Toy 10.1016/j.measurement.2021.109184
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20. Insights from a Patent Portfolio Analysis on Sensor Technologies for Measuring Fruit Properties Ž. Kevrešan et al. 10.3390/horticulturae10010030
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26. Iot based Industrial Sensor Monitoring and Alerting System using Raspberry Pi C. Shalini & I. Mr Prakash 10.1088/1757-899X/981/4/042010
27. Chemical Sensing with Atomically Thin Platinum Templated by a 2D Insulator K. Kim et al. 10.1002/admi.201902104
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29. A deep convolutional neural network for vibration-based health-monitoring of rotating machinery P. Ong et al. 10.1016/j.dajour.2023.100219
30. An Architecture for Big IoT Data Analytics in the Oil and Gas Industry R. Aliguliyev et al. 10.4018/IJHIoT.2020070102
31. A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0 A. Md et al. 10.3390/pr10101966
32. De las nanotecnologías a la industria 4.0: una evolución de términos G. Foladori & Á. Ortiz-Espinoza 10.30578/nomadas.n55a4
33. Development of a wireless smart sensor system and case study on lifting risk assessment V. Selvaraj et al. 10.1016/j.mfglet.2024.09.027
34. Cyber–Physiochemical Interfaces T. Wang et al. 10.1002/adma.201905522
35. Comparison of different ML methods concerning prediction quality, domain adaptation and robustness P. Goodarzi et al. 10.1515/teme-2021-0129
36. Smart Wireless Transducer Dedicated for Use in Aviation Laboratories T. Kabala & J. Weremczuk 10.3390/s24113585
37. An approach enabling Accuracy-as-a-Service for resistance-based sensors using intelligent Digital Twins V. Stegmaier et al. 10.1016/j.procir.2022.05.071
38. Responsiveness of the Sensor Network to Alarm Events Based on the Potts Model A. Paszkiewicz & J. Węgrzyn 10.3390/s20236979
39. Industrial condition monitoring with smart sensors using automated feature extraction and selection T. Schneider et al. 10.1088/1361-6501/aad1d4
40. Significance and implications of digital transformation in metrology in India N. Garg et al. 10.1016/j.measen.2021.100248
41. Testing Thermostatic Bath End-Scale Stability for Calibration Performance with a Multiple-Sensor Ensemble Using ARIMA, Temporal Stochastics and a Quantum Walker Algorithm G. Besseris 10.3390/s23042267
42. Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective S. Kang et al. 10.1007/s10845-021-01817-9
43. Early Warning Systems in Industry 4.0: A Bibliometric and Topic Analysis T. Bertoncel & M. Meško 10.4018/IJESMA.2019040104
44. Optimization of 5G Networks for Smart Logistics E. Khatib & R. Barco 10.3390/en14061758
45. IoT technology proposal for multi-adaptative sensing integrated into data science and analytics scenarios C. Junior et al. 10.1016/j.procs.2022.11.155
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47. Setting process control chart limits for rounded-off measurements R. Etgar & S. Freund 10.1016/j.heliyon.2023.e13655
48. I4.0I: A New Way to Rank How Involved a Company Is in the Industry 4.0 Era V. Zilli et al. 10.3390/fi15020073
49. Virtual Reality Technology in Landscape Design at the Exit of Rail Transit Using Smart Sensors C. Sun et al. 10.1155/2022/6519605
50. Developing an I4.0 Cyber-Physical System to Enhance Efficiency and Competitiveness in Manufacturing F. Jamil et al. 10.3390/app13169333
51. A Markov chain model for IEEE 802.15.4 in time critical wireless sensor networks under periodic traffic with reneging packets H. Hadadian Nejad Yousefi et al. 10.1007/s12652-021-02984-6
52. A monitoring framework based on exergetic analysis for sustainability assessment of direct laser metal deposition process V. Selicati et al. 10.1007/s00170-021-08177-x
53. Spectrum analysis of moving average operator and construction of time-frequency hybrid sequence operator C. Lin et al. 10.1108/GS-09-2020-0128
54. Reliability Assessment of MV Power Connections P. Hoduń & M. Borecki 10.3390/en14216965
55. An intelligent data capturing framework to improve condition monitoring and anomaly detection for industrial machines S. Robyns et al. 10.1016/j.procs.2022.12.267
56. A Computer Vision-Based Quality Assessment Technique for the automatic control of consumables for analytical laboratories M. Zribi et al. 10.1016/j.eswa.2024.124892
57. IoT based Earthquake and Hazardous Gases Detection in Coal Mines using Raspberry Pi G. Ravitheja & K. Jeevana Jyothi 10.1088/1757-899X/981/4/042011
58. Adoption paths of digital transformation in manufacturing SME E. Battistoni et al. 10.1016/j.ijpe.2022.108675
59. Sensitivity Analysis of Sensors in a Hydraulic Condition Monitoring System Using CNN Models C. König & A. Helmi 10.3390/s20113307
60. Sensor Technologies for Hydraulic Valve and System Performance Monitoring: Challenges and Perspectives J. Liu et al. 10.1002/adsr.202300130
61. Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence Ö. Gültekin et al. 10.3390/s22093208
62. Characterization of a smart transducer for axial force measurements in vibrating environments S. Naifar et al. 10.1016/j.measurement.2020.108157
63. Integrating metrological principles into the Internet of Things: a digital maturity model for sensor network metrology S. Eichstädt et al. 10.1515/teme-2023-0103
64. Thermal segment microwell plate control for automated liquid handling setups S. Seidel et al. 10.1039/D3LC00714F
65. In-process, real-time monitoring of forming forces in rotary draw bending process X. He et al. 10.1007/s00170-024-14370-5
66. Wireless Communication System and Its Application in Big Data Remote Monitoring and Decision-Making H. Kou & Z. Yang 10.1155/2022/8161917
67. Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis G. Li et al. 10.1016/j.jmsy.2021.07.007
68. Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines N. Kousi et al. 10.3390/app11104620
69. Potential Role of Metrology in Digital Transformation for Quality Infrastructure P. Verma 10.1007/s12647-023-00716-z
70. Universal Programmable Portable Measurement Device for Diagnostics and Monitoring of Industrial Fluid Power Systems R. Dindorf & P. Wos 10.3390/s21103440
71. Recent Advances in Smart Organic Sensors for Environmental Monitoring Systems H. Song et al. 10.1021/acsaelm.2c01315
72. Financial Early Warning Model for Listed Companies Based on the Smart Sensor Data Network Y. Wang & G. Sun 10.1155/2022/7666354
73. Development, Characterisation and High-Temperature Suitability of Thin-Film Strain Gauges Directly Deposited with a New Sputter Coating System D. Klaas et al. 10.3390/s20113294
74. Analysis of Uncertainties and Levels of Foreknowledge in Relation to Major Features of Emerging Technologies—The Context of Foresight Research for the Fourth Industrial Revolution A. Magruk 10.3390/su13179890
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77. A Supply-Voltage Driving Scheme for Grounded Capacitive Sensor Front-Ends M. Haberman et al. 10.1109/TIM.2022.3205648
78. Detection and Location of Earth Fault in MV Feeders Using Screen Earthing Current Measurements K. Lowczowski et al. 10.3390/en13051293
79. Asymmetry Considerations in Constructing Control Charts: When Symmetry Is Not the Norm R. Etgar 10.3390/sym16070811
80. Adapting Universities for Sustainability Education in Industry 4.0: Channel of Challenges and Opportunities S. Mian et al. 10.3390/su12156100
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84. UNVEILING TECHNICAL ASPECTS OF THE KYPS SYSTEM IN THE HOSPITALITY SECTOR OF UKRAINE A. Andrushko 10.23939/cds2024.02.092
85. Bidirectional Recurrent Neural Network-Based Chemical Process Fault Diagnosis S. Zhang et al. 10.1021/acs.iecr.9b05885
86. The Significance of Industry 4.0 Technologies in Enhancing Various Unit Operations Applied in the Food Sector: Focus on Food Drying A. Hassoun et al. 10.1007/s11947-024-03465-2
87. Connecting circular economy and industry 4.0 S. Rajput & S. Singh 10.1016/j.ijinfomgt.2019.03.002
88. Strain Sensing Technology to Enable Next-Generation Industry and Smart Machines for the Factories of the Future: A Review Y. Hamed et al. 10.1109/JSEN.2023.3313013
89. Sensors Data Analysis in Supervisory Control and Data Acquisition (SCADA) Systems to Foresee Failures with an Undetermined Origin F. Maseda et al. 10.3390/s21082762
90. Quality 4.0 – an evolution of Six Sigma DMAIC C. Escobar et al. 10.1108/IJLSS-05-2021-0091
91. Strength enhancement and retention in magnesium subjected to uniaxial compression using centralized partial drill holes A. Krishnan & M. Gupta 10.1088/2631-8695/acd98b
92. A Customer Feedback Platform for Vehicle Manufacturing Compliant with Industry 4.0 Vision M. Silva et al. 10.3390/s18103298
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94. Gray-box Soft Sensors in Process Industry: Current Practice, and Future Prospects in Era of Big Data I. Ahmad et al. 10.3390/pr8020243
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98. Challenges, limitations, and measurement strategies to ensure data quality in deep-sea sensors A. Skålvik et al. 10.3389/fmars.2023.1152236
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102. Impact of industry 4.0 to create advancements in orthopaedics M. Javaid & A. Haleem 10.1016/j.jcot.2020.03.006
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