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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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 MYU K.K.
 Sensors and Materials
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Vol. 36 No. 4(2)
Special Issue on Smart Sensors and Materials

Guest Editor: Wipoo Sriseubsai (King Mongkut’s Institute of Technology Ladkrabang)

Preface

  • Titanium dioxide (TiO2), a metal oxide photocatalyst, is one of the most widely studied materials for photocatalytic applications in energy production and environmental remediation owing to its e ... Read More

  • Coastal erosion in Thailand is severe due to the deforestation of mangrove forests, which naturally dissipate waves, making it necessary to establish how to reproduce mangrove forests of a suitab ... Read More

  • In contemporary hard disk drive (HDD) manufacturing processes, after the assembly of the HDD from the production line, a series of diverse calibration procedures are necessary to ensure standardi ... Read More

  • In the field of industrial robotics, robotic arms have been significantly integrated, driven by their precise functionality and operational efficiency. We here propose a hybrid method for bin-pic ... Read More

  • Two types of sensors, light detection and ranging (LiDAR) and real-time kinematic of global navigation satellite system with inertial navigation system (RTK-GNSS/INS), are used for the localizati ... Read More

  • In this paper, we present an investigation of a small deep learning model applied to the detection of a broken rotor bar of an induction motor. The motor current spectrum analysis is the base met ... Read More

  • In this paper, we discuss the classification of images captured by a machine camera while assembling components. To crop out specific points of interest, we employ image processing. Additionally, ... Read More

  • Despite limitations in payload and range, cargo drones have promising applications in emergency logistics and remote delivery. In this study, we tackle these challenges by developing a high-capac ... Read More

  • Decision tree algorithms are widely used for solving classification and regression problems. Their popularity can be attributed to their transparent nature, simplicity, easy interpretability, fas ... Read More

  • The purpose of this paper is to propose a novel technique for extracting the position signal from an inductive displacement transducer named a linear variable differential transformer (LVDT). In ... Read More

  • In this article, we propose a dual-stage classification framework designed for identifying rare or unseen patterns in the hard disk drive (HDD) industrial test process. The proposed framework int ... Read More


S&M3603

Research Paper of Special Issue

S&M3603
Calculation of Photocatalyst Anatase TiO2 (1 0 1)/g-C3N4 (0 0 1) Properties Using Density Functional Theory
Trung Tin Tran, Phuoc Thao Vo Du, Anh Hao Huynh Vo, and Trung Nghia Tran
pp. 1349-1357
https://doi.org/10.18494/SAM4617
Published on April 19 , 2024
PDF (open access)

S&M3604

Research Paper of Special Issue

S&M3604
Optimal Prediction of Effectiveness of Mangrove Forest Against Coastal Erosion: Case Study of Coastal Area along the Gulf of Thailand
Puangpet Rattanarama, Chalida U-tapao, Yoshimichi Yamamoto, and Arj-ong Nopmuang
pp. 1359-1375
https://doi.org/10.18494/SAM4653
Published on April 19 , 2024
PDF (open access)

S&M3605

Research Paper of Special Issue

S&M3605
Prediction of Flying Height Using Deep Neural Network Based on Particle Swarm Optimization in Hard Disk Drive Manufacturing Process
Worawit Kanjanapruthipong, Pitcha Prasitmeeboon, and Poom Konghuayrob
pp. 1377-1387
https://doi.org/10.18494/SAM4825
Published on April 19 , 2024
PDF (open access)

S&M3606

Research Paper of Special Issue

S&M3606
Hybrid Deep Learning and FAST–BRISK 3D Object Detection Technique for Bin-picking Application
Thanakrit Taweesoontorn, Sarucha Yanyong, and Poom Konghuayrob
pp. 1389-1404
https://doi.org/10.18494/SAM4840
Published on April 19 , 2024
PDF (open access)

S&M3607

Research Paper of Special Issue

S&M3607
Localization for Outdoor Mobile Robot Using LiDAR and RTK-GNSS/INS
Thitipong Thepsit, Poom Konghuayrob, Anakkapon Saenthon, and Sarucha Yanyong
pp. 1405-1418
https://doi.org/10.18494/SAM4841
Published on April 19 , 2024
PDF (open access)

S&M3608

Research Paper of Special Issue

S&M3608
A Small Deep Learning Model for Fault Detection of a Broken Rotor Bar of an Induction Motor
Pat Taweewat, Warachart Suwan-ngam, Kanoknuch Songsuwankit, and Poom Konghuayrob
pp. 1419-1430
https://doi.org/10.18494/SAM4847
Published on April 19 , 2024
PDF (open access)

S&M3609

Research Paper of Special Issue

S&M3609
Clamp Dot Image Classification Using Neural Network
Krittapak Srikam and Anakkapon Saenthon
pp. 1431-1439
https://doi.org/10.18494/SAM5000
Published on April 19 , 2024
PDF (open access)

S&M3610

Research Paper of Special Issue

S&M3610
Design of AI-based 3.84 kW Battery Package Using Backpropagation Artificial Neural Network Algorithm for Cargo Drones
Rodi Hartono, Sang Min Oh, Sung Won Lim, Tshibang Patrick A. Kalend, Jasurbek Doliev, Jun Hyuk Lee, and Kyoo Jae Shin
pp. 1441-1459
https://doi.org/10.18494/SAM5011
Published on April 19 , 2024
PDF (open access)

S&M3611

Research Paper of Special Issue

S&M3611
An Alternative Method for Upgrading the Conventional Decision Tree Algorithm
Suppakrit Kirdponpattara, Veera Boonjing, and Pitikhate Sooraksa
pp. 1461-1471
https://doi.org/10.18494/SAM5029
Published on April 19 , 2024
PDF (open access)

S&M3612

Research Paper of Special Issue

S&M3612
Linear Variable Differential Transformer Signal Conditioning Circuit Based on Phase-Locked Loop
Kanoknuch Songsuwankit, Wandee Petchmaneelumka, Vanchai Riewruja, and Apinai Rerkratn
pp. 1473-1486
https://doi.org/10.18494/SAM5030
Published on April 19 , 2024
PDF (open access)

S&M3613

Research Paper of Special Issue

S&M3613
Dual-stage Classification Framework for Detecting Rare or Unseen Patterns Based on Novelty Detection and Supervised Learning
Natthakritta Rungtalay and Somyot Kaitwanidvilai
pp. 1487-1499
https://doi.org/10.18494/SAM5036
Published on April 19 , 2024
PDF (open access)

Cover of this Issue





Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
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Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
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Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
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Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
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Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
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Special Issue on Signal Collection, Processing, and System Integration in Automation Applications
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)
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