Measurement Science Review
Statistics
Explore the latest advancements, techniques, and quality standards in measurement science. Stay updated with reviews of key research and applications.
Articles in this Journal
GGLCM: A Real-Time Early Anomaly Detection Method for Mechanical Vibration Data with Missing Labels
Early anomaly detection plays a central role in the scientific maintenance of mechanical equipment. Although the application is limited by weak monitoring, it encounters the problem of missing labels. To overcome this challenge, the Gramia...
View Full Research
Exploration of Infrared Thermography as an Alternate Tool for the Detection of Gastric Diseases
The electrical impulses, known as electrogastrograms (EGGs), originate from the muscles of the stomach and are due to the physiological activity of the digestive system. The characteristics of these signals can be used to diagnose various...
View Full Research
Adaptive Measurement Selection for Scalable Distributed Graph Optimization in Multi-UAV Relative Positioning
Autonomous relative positioning is a critical challenge for unmanned aerial vehicle (UAV) swarms. In this study, we address the optimization of measurement constraint selection in the distributed relative positioning process of large-scale...
View Full Research
Detection of Laryngeal Pathologies from Voice using EMD-based Mel-Spectrograms and Scalograms with AlexNet
In this paper, a novel method for detecting of laryngeal pathologies using deep neural networks and time–frequency signal processing techniques is presented. The proposed approach combines empirical mode decomposition (EMD) and wavelet ana...
View Full Research
Analysis and Graphical Evaluation of Pressure Changes in Pneumatic Circuits for Industrial Applications
Measuring and evaluating the condition of pneumatic systems (PS) is an important identification tool for many industrial applications. Therefore, this paper focuses on the detection of changes (faults) in these circuits by analysing system...
View Full Research
TRI-BCC: Tri-Level Breast Cancer Classification via Transfer Learning Networks with Histopathogical Images
Breast cancer (BC) is the second most common hereditary cancer in women and is most likely to affect women. The high cost of treating BC has made its prevention an important health issue. However, early detection of BC is a time-consuming...
View Full Research
A Nested DUAL-axis Accelerometer with EnhancedTemperature Robustness for Testing Across the EntireOperational Temperature Range
This paper investigates a nested biaxial micro-electro-mechanical systems (MEMS) accelerometer with low coupling error, derives the kinetic model equations of the accelerometer, and performs finite element simulations of the operating mode...
View Full Research
AD-HOLDER: Alzheimer's Disease Detection via Machine Learning based Histograms of Light GBM Classifier using MRI and PET Images
Alzheimer's disease (AD) is an irreversible brain condition that impairs memory and cognitive processes. However, existing Alzheimer detection methods have shown low diagnostic accuracy (ACC) due to limited images and inefficient feature a...
View Full Research
A Compact Design of a Two-stage Piecewise Linear ADC Used for Sensor Linearity Improvement
This paper presents a compact two-stage piecewise linear analog-to-digital converter (ADC) that enhances sensor linearity while featuring a reduced design complexity. Unlike a traditional two-stage piecewise linear ADC, the proposed archit...
View Full Research
Metrological Evaluation of Optical Surfaces Using Goniometric and Spectrophotometric Techniques
This paper presents a comprehensive metrological approach for evaluating the appearance and optical properties of complex material surfaces using advanced goniometric and spectrophotometric techniques. The methodology is implemented on the...
View Full Research
Evaluation of Absorbing Material Shielding Effectiveness Using Baum–Liu–Tesche Based Method
The shielding efficacy of the metal cavity can be effectively enhanced using absorbing materials coated on the inner wall of the cavity. With highly potential materials such as graphene, silicon carbide (SiC), polytetrafluoroethylene (PTFE...
View Full Research
Test and Analysis of the Influence of Lake Water Obstacle on the Near-field Timing Signal of BPC
The lake water environment is a common and complex scenario for the application of radio time synchronization. When the timing signal enters lake water, signal strength attenuation and phase shift occur, which greatly affect time service p...
View Full Research
Research on Tool Wear State Recognition Method Based on Multi-Scale Feature Extraction and Deep Residual Network Fusion
To enhance the intelligence of machining processes, accurate recognition of tool wear states has become a key issue in the manufacturing field. However, due to the non-stationary and high-dimensional nature of cutting signals, traditional...
View Full Research
Indirect Thermographic Measurement of the Contact Temperature of an Electromechanical Relay
The temperature of an electromechanical relay is related to the value of the contact resistance. The value of the contact resistance depends, among other things, on the degree of wear and oxidation of the contacts. A too high temperature o...
View Full Research
Computer Simulation of Calculation Frequency Deviation from Odd Frequency Spectrum
The homogeneity of the static magnetic field is crucial for nuclear magnetic resonance (NMR) experiments. The NMR instrumentation is often used to map this field. A spectrum containing information about the static magnetic field is obtaine...
View Full Research
Top Blogs by Rating
The Empathy-Driven Developer:...
By Sciaria
Electro's Unseen Frequencies:...
By Sciaria
Unlearn to Evolve: Your Superp...
By Sciaria
Favorite Blog
The Evolutionary Paradox: Why...
By Sciaria
The Invisible Architect: How S...
By Sciaria
The Unseen Advantage: Why Trus...
By Sciaria
Sciaria Research