Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. …”
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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

“…DAS makes use of Rayleigh backscattering to detect and measure dynamic strain and vibrations over extended distances. …”
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Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study by Thomas Hoefler, Ayako Ikeda, Toshio Osada, Toru Hara, Kyoko Kawagishi, Takahito Ohmura

“…While the necessary topographic data is typically acquired using atomic force microscopy, a significant speedup was achieved by automatic indent detection and scanning using Angular selective Backscatter FE-SEM analysis. …”
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Plankton Distribution Analysis with Underwater Acoustic Remote Sensing by A Abdullah, Pratomo D.G., Khomsin

“…This technology utilises sound waves to detect, measure and map the distribution of marine biota by analysing the backscatter strength (Sv). …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The proposed model is trained with three sampling methods: random sampling, which ignores class imbalance present in the acoustic survey data; class-balanced sampling, which ensures equal representation of known categories; and intensity-based sampling, which selects data to capture backscatter variations. The quality of extracted features is then evaluated and compared. …”
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Raman Spectroscopy Principles for in vivo Diagnostic by Ellipsoidal Reflectors by Bezuglyi Mikhail, Bezuglaya Natalia

“…Additionally, the investigation demonstrates the efficiency of ellipsoidal photometry method for registration of Raman scattering signal on test-solutions. …”
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Kinetic‐Controlled Crystallization of α‐FAPbI3 Inducing Preferred Crystallographic Orientation Enhances Photovoltaic Performance by Sooeun Shin, Seongrok Seo, Seonghwa Jeong, Anir S. Sharbirin, Jeongyong Kim, Hyungju Ahn, Nam‐Gyu Park, Hyunjung Shin

“…With microscopic observations, for example, electron backscatter diffraction and selected area electron diffraction, it is examined that higher concentration of MACl induces slower crystallization kinetics, resulting in larger grain size and [100] preferred orientation. …”
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Factorial-experimental investigation of LPBF regimes for VZh159 nickel superalloy grain structure and structural strength optimization by Rustam R. Kyarimov, Eugene S. Statnik, Eugene S. Statnik, Iuliia A. Sadykova, Alexander A. Frantsuzov, Alexey I. Salimon, Alexey I. Salimon, Alexander M. Korsunsky, Alexander M. Korsunsky, Alexander M. Korsunsky

“…Metallurgically sound samples (based on hydrostatic weighing data and microscopy, with practically no pores detected) were obtained with nine combinations of power and scanning speed, showing significant variation in the tensile strength (in the 1,040–1,220 MPa range) and yield strength (in the 560–1,100 MPa range), which correlated with the cross-sectional area of the single scan line (for example, the depth of the melt pool varied in the range 410–530 µm), while the average grain size (deduced from Electron Backscatter Diffraction (EBSD) images) remained statistically unchanged. …”
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Surface morphology, electronic defects and passivation strategies at the p–n junction of Cu(In,Ga)(S,Se)2 solar cells by Amala Elizabeth, Andreas May, Finnegan Volkamer, Florian Giesl, Hossam Elanzeery, Thomas Dalibor, Daniel Abou-Ras, Harry Mönig

“…Based on the high power conversion efficiencies and compatibility toward large-area deposition techniques, Cu(In,Ga)(S,Se) _2 (CIGSSe) phototvoltaic absorbers are currently at the forefront of chalcopyrite thin-film solar cell technology. …”
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