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This paper presents a hybrid-input deep learning framework for electromagnetic imaging of anisotropic objects in a two-dimensional environment. The proposed method combines transverse magnetic (TM) and transverse electric (TE) illuminations to reconstruct the...
The proposed design of antennas, which operate as a transceiver and a breast phantom model with tumor sample are proposed for detecting cancerous tumor cells within the breast cell, is suitable in the biomedical applications such as tumor cell detection and d...
Numerical simulations and experimental results show that the proposed multi-frequency extension model achieves lower reconstruction error and higher structural similarity than the reference methods, confirming the effectiveness and potential of the proposed f...
NOTE: THIS IS THE PART 10 OF 12 FOR disc_b.tar.gz, ONCE DOWNLOADED ALL PARTS, TYPE THE COMMAND cat disc_b.tar.gz.part* > disc_b.tar.gz to get the full disc_b.tar.gz file. DISC-B (disc_b.tar.gz): Contains over 40 minutes of IEEE 802.11ay CIR sequences collecte...
Microwave imaging of objects embedded in multilayer cylindrical structures is of practical importance in applications where inaccessible targets are surrounded by a known inhomogeneous host. In such problems, incorporating the known multilayer structure into...
A recoverability-guided reduced-target inversion framework in which the inverse target is constructed from measurement-supported directions of a noise-weighted local Jacobian, which supports recoverability-guided target construction as a proof-of-concept stra...
Abstract In recent years, the through-wall imaging (TWI) systems have garnered tremendous interest due to their potential applications in surveillance, search–rescue operations, and security monitoring, enabling the detection and visualization of objects behi...
Microwave breast imaging has strong potential as an adjunct or alternative to current breast imaging modalities, especially for dense breast tissue and in resource-limited settings, and the growing role of machine learning in enhancing image resolution, segme...
The correct selection of elevation cut-off angle is an important component affecting the accuracy of Global Navigation Satellite System (GNSS) positioning. Traditional processing algorithms usually adopt fixed cut-off angles which cannot adapt to the variatio...
This paper proposes a spoofing detection approach that operates solely on standard receiver outputs, specifically Doppler frequency, and monitors the Doppler rate feature under attacks, demonstrating its reliability under representative spoofing attacks.
This study presents a comprehensive evaluation of two widely used free online Global Navigation Satellite System (GNSS) processing services, namely the Online Positioning User Service (OPUS) and the Australian Positioning Open Service (AUSPOS), for dual-frequ...
Abstract In current conventional precise point positioning (PPP) processing strategies, the tropospheric zenith wet delay (ZWD) is usually dynamically estimated as a stochastic parameter. During the convergence period, ZWD estimates can appear to be negative...
Abstract Global Navigation Satellite Systems (GNSS) face Common-Mode Errors (CMEs) such as atmospheric delays. While techniques like Differential GNSS (DGNSS) or Precise Point Positioning (PPP) mitigate these errors, Real-Time PPP (RT-PPP) emerges as a promis...
Abstract Continuous precipitable water vapor (PWV) time series derived from Global Navigation Satellite System (GNSS) observations are essential for climate monitoring, numerical weather prediction, and tropospheric modeling, yet data gaps from equipment fail...
Abstract Conventional Real-Time Kinematic (RTK) and Network RTK (NRTK) functional models for medium-to-long baselines typically parameterize Double-Differenced (DD) slant ionospheric delays for individual satellite pairs to mitigate ionospheric effects. When...
Abstract Unsustainable rates of groundwater (GW) depletion make GW management a priority. Effective GW management is hindered by the uncertainty in the predictions of aquifer models, but the increase of geodetic surface deformation data can improve aquifer ch...
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Follow the topics, authors, and sources that define your field in Scollr. New papers in those areas flow into a personalized feed, so finding new research papers becomes a quick daily scan instead of a manual search across journals.
Scollr replaces per-journal email alerts with one personalized research feed. You see recent papers from the areas you follow in a single place, with enough context to decide what to open, so keeping up stays a short habit.
Yes. Follow research topics, individual authors, and sources, and Scollr uses those follows plus your reading behavior to recommend papers and shape what appears in your feed.
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