تصنيف تكنولوجيا الكشف عن المعدات المعدنية وغيرها المخفية والمدفونة

J. Vyhnánek, M. Janošek and P. Ripka, “AMR gradiometer for mine detection,” Sensors and Actuators A: Physical, vol. 186, pp. 100–104, 2012.

J. Xiang, Y. Dong, M. Zhang and Y Li, “Design of a magnetic induction tomography system by gradiometer coils for conductive fluid imaging,” IEEE Access, vol. 7, pp. 56733-56744, 2019.

H. T. Nguyen, J. T. Jeng, V. D. Doan, C. H. Dinh, X. T. Trinh and D. V. Dao “Detection of Surface and Subsurface Flaws with Miniature GMR-Based Gradiometer,”, Sensors, vol. 22, no. 8 , p. 3097, 2022.

J. S. Choi, B. Choi and Y. Ryu “A Novel Metal Object Detection System using Asymmetric Triangular Gradiometers for High-power Inductive Power Transfer Applications,” in 2023 IEEE Applied Power Electronics Conference and Exposition, pp. 1675-1679, 2023.

X. Zhang, L. Zeng, H. Zhang and S. Huang “Magnetization Model and Detection Mechanism of a Microparticle in a Harmonic Magnetic Field,” IEEE/ASME Transactions on Mechatronics, vol. 24, no. 4, pp. 1882-1892, 2019.

M. Wang, H. Shi, H. Zhang, D. Huo, Y. Xie and J. Su “Improving the detection ability of inductive micro-sensor for non- rromagnetic wear debris,” Micromachines, vol. 11, no. 12, p. 1108, 2020.

H. Liu, C. Zhao, Y. Liu, H. Dong, J. Ge and Z. Liu “Enhanced magnetic imaging for industrial metal workpiece detection through the combination of ,electromagnetic induction and magnetic anomalies,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-9, 2022.

R. Acevedo, P. Sedlak, R. Kolman and M. Fredel “Residual stress analysis of additive manufacturing of metallic parts using ultrasonic waves: State of the art,” Journal of Materials Research and Technology, vol. 9, no. 4, pp.9457-9477, 2020.

Y. Yu, A. Safari, X. Niu, B. Drinkwater and K. V. Horoshenkov “Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review,” Applied Acoustics, vol. 183, p.108282, 2021.

F. Bertocci, A. Grandoni and T. Djuric-Rissner “Scanning acoustic microscopy (SAM): A robust method for defect detection during the manufacturing process of ultrasound probes for medical imaging,” Sensors, vol.12, no. 22, p.4868, 2019.

P. Pyzik, A. Ziaja-Sujdak, J. Spytek and M. O'Donnell “Detection of disbonds in adhesively bonded aluminum plates using laser-generated shear acoustic waves,” Photoacoustics, vol. 21, p.100226, 2021.

Z. Cai, Y. Sun, Z. Lu and Q. Zhao “Research on Identification and Detection of Aluminum Plate Thickness Step Change Based on Electromagnetic Acoustic Resonance,” Magnetochemistry, vol. 9, no. 3, p.86, 2023.

T. Mostafa, G. Ooi, M. Ozakin, M. Khater, M. Zeghlache, H. Bagci and S. Ahmed “An Innovative Pipe Inspection Tool Utilizing Electromagnetic Resonance Coupling and Machine Learning,” in IEEE Transactions on Industrial Electronics, pp. 1-11, 2023.

S. Li and S. Wu “Low-cost millimeter wave frequency scanning based synthesis aperture imaging system for concealed weapon detection,” IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 7, pp. 3688-3699, 2022.

P. Huang, R. Wei, Y. Su and W. Tan “Swin-YOLO for Concealed Object Detection in Millimeter Wave Images,” Applied Sciences, vol. 13, no. 17, p. 9793, 2023.

C. Wang, J. Shi, Z. Zhou, L. Li, Y. Zhou and X. Yang “Concealed object detection for millimeter-wave images with normalized accumulation map,” IEEE Sensors Journal, vol. 21, no. 5, pp. .6468-6475, 2020.

E. Kpré, N. Vellas, C. Gaquiere, A. Martins, M. Dons, M. Egret, M. Werquin, S. Jonniau and T. Lahaye “Indoor real-time passive millimeter wave imager for concealed threats detection,” in Passive and Active Millimeter-Wave Imaging XXIII, vol. 11411, pp. 91-99, 2020.

S. Hu “Study on THz imaging system for concealed threats detection,” School of Electronic Engineering and Computer Science Queen Mary University, 2020.

Z. Sang and Y. Zhao “Portable Sub-Terahertz Radar for Rapid Long-range Detecting Concealed Carried Threat,” In 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves, pp. 1-2, 2019.

V. Anitha, A. Beohar and A. Nella “THz imaging technology trends and wide variety of applications: a detailed survey,” Plasmonics, vol. 18, no. 2, pp.441-483, 2023.

K. H. Shankari, S. M. Vilasini, D. Sridevi and S. Amudha “Analysts and Detection of Concealed Weapons Using lR Fusion With MMW Support Imaging Technology,” In Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises, pp. 110-119, 2022.

B. Goyal, A. Dogra, R. Khoond, A. Gupta and R. Anand “Infrared and visible image fusion for concealed weapon detection using transform and spatial domain filters,” In 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), pp. 1-4, 2021.

D. Saavedra, S. Banerjee, D. Mery “Detection of threat objects in baggage inspection with X-ray images using deep learning,” Neural Computing and Applications, vol. 33, pp.7803-7819, 2021.

Y. Li, C. Zhang, S. Sun and G. Yang “X-ray Detection of Prohibited Item Method Based on Dual Attention Mechanism,” Electronics, vol. 12, no. 18, p. 3934, 2023.

S. Sarkar, S. Ahire, S. Rahate, R. Barde, R. Agrawal and S. Sorte “Design of Weapon Detection System,” In 3rd International Conference on Electronics and Sustainable Communication Systems, pp. 1016-1022, 2022.

K. J. Liang, J. B. Sigman, G. P. Spell, D. Strellis, W. Chang, F. Liu, T. Mehta and L. Carin “Toward automatic threat recognition for airport X-ray baggage screening with deep convolutional object detection,” arXiv preprint arXiv:1912.06329, 2019.