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Robust semantic segmentation of VHR remote sensing images from UAV sensors is critical for earth observation, land use, land cover or mapping applications. Several factors such as shadows, weather disruption and camera shakes making this…

Computer Vision and Pattern Recognition · Computer Science 2020-12-02 Yi Peng , Shihao Sun , Zheng Wang , Yining Pan , Ruirui Li

Due to the increased usage of spectrum caused by the exponential growth of wireless devices, detecting and avoiding interference has become an increasingly relevant problem to ensure uninterrupted wireless communications. In this paper, we…

Networking and Internet Architecture · Computer Science 2023-01-24 Clifton Paul Robinson , Daniel Uvaydov , Salvatore D'Oro , Tommaso Melodia

Neutron correlation spectroscopy can exceed direct spectroscopy in the incoming beam intensity by up to two orders of magnitude at the same energy resolution. However, the propagation of the counting noise in the correlation algorithm of…

Instrumentation and Detectors · Physics 2016-09-13 F. Mezei , M. T. Caccamo , F. Migliardo , S. Magazù

Structural Health Monitoring (SHM) is vital for evaluating structural condition, aiming to detect damage through sensor data analysis. It aligns with predictive maintenance in modern industry, minimizing downtime and costs by addressing…

Machine Learning · Computer Science 2023-11-10 Ishan Pathak , Ishan Jha , Aditya Sadana , Basuraj Bhowmik

Optimal detection of ultra wideband (UWB) pulses in a UWB transceiver employing multiple detector types is proposed and analyzed in this paper. We propose several fusion techniques for fusing decisions made by individual IR-UWB detectors.…

Information Theory · Computer Science 2025-09-30 Vijaya Yajnanarayana , Satyam Dwivedi , Peter Händel

Among several dark matter candidates, bosonic ultralight (sub meV) dark matter is well motivated because it could couple to the Standard Model (SM) and induce new forces. Previous MICROSCOPE and Eot Wash torsion experiments have achieved…

Cosmology and Nongalactic Astrophysics · Physics 2023-08-09 Rui Li , Shaochun Lin , Liang Zhang , Changkui Duan , Pu Huang , Jiangfeng Du

Laser with high spectral purity plays a crucial role in high-precision optical metrology and coherent communication. Thanks to the rapid development of laser frequency stabilization, the laser phase noise can be remarkably compensated,…

Instrumentation and Detectors · Physics 2020-04-22 Liang Zhang , Liang Chen , Xiaoyi Bao

Optical neural networks present distinct advantages over traditional electrical counterparts, such as accelerated data processing and reduced energy consumption. While coherent light is conventionally employed in optical neural networks,…

Optics · Physics 2025-07-15 Jianwei Qin , Yanbing Liu , Yan Liu , Xun Liu , Wei Li , Fangwei Ye

We propose a novel, Gaussian signaling mechanism for low probability of detection (LPD) communication systems with either single or multiple antennas. The new scheme is designed to allow the noncoherent detection of Gaussian-distributed…

Signal Processing · Electrical Eng. & Systems 2023-01-10 Yuma Katsuki , Giuseppe Thadeu Freitas de Abreu , Koji Ishibashi , Naoki Ishikawa

Ultralight Dark Matter (ULDM) offers an alternative to cold dark matter, characterized by wavelike behavior on galactic scales. This contribution summarizes our work~\cite{Blas:2024duy} on how solitonic cores induced by ULDM affect…

High Energy Astrophysical Phenomena · Physics 2025-03-07 Silvia Gasparotto

Virialized Ultra-Light Fields (VULFs) are viable cold dark matter candidates and include scalar and pseudo-scalar bosonic fields, such as axions and dilatons. Direct searches for VULFs rely on low-energy precision measurement tools. While…

Atomic Physics · Physics 2018-05-02 Andrei Derevianko

This paper presents the Universal Software Radio Peripheral (USRP) experimental results of the Max-Min signal to noise ratio (SNR) Signal Energy based Spectrum Sensing Algorithms for Cognitive Radio Networks which is recently proposed in…

Applications · Statistics 2014-01-16 Tadilo Endeshaw Bogale , Luc Vandendorpe

Next-generation dark matter (DM) detectors searching for weakly interacting massive particles (WIMPs) will be sensitive to coherent scattering from solar neutrinos, demanding an efficient background-signal discrimination tool. Directional…

Searching for gravitational-wave signals is a challenging and computationally intensive endeavor undertaken by multiple independent analysis pipelines. While detection depends only on observed noisy data, it is sometimes inconsistently…

General Relativity and Quantum Cosmology · Physics 2024-03-15 Matthew Mould , Christopher J. Moore , Davide Gerosa

We adapt a method, originally developed for searches for quasi-monochromatic, quasi-infinite gravitational-wave signals, to directly detect new light gauge bosons with laser interferometers, which could be candidates for dark matter. To…

Object detection in Ultra High-Resolution (UHR) images has long been a challenging problem in computer vision due to the varying scales of the targeted objects. When it comes to barcode detection, resizing UHR input images to smaller sizes…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Jerome Quenum , Kehan Wang , Avideh Zakhor

We analyse the phenomenology of orbifold scenarios from the heterotic superstring, and the resulting theoretical predictions for the direct detection of neutralino dark matter. In particular, we study the parameter space of these…

High Energy Physics - Phenomenology · Physics 2008-11-26 D. G. Cerdeno , T. Kobayashi , C. Munoz

In this work, we discuss techniques for coherently detecting turbo coded orthogonal frequency division multiplexed (OFDM) signals, transmitted through frequency selective Rayleigh (the magnitude of each channel tap is Rayleigh distributed)…

Information Theory · Computer Science 2015-11-04 K. Vasudevan

Abnormal iron accumulation in the brain subcortical nuclei has been reported to be correlated to various neurodegenerative diseases, which can be measured through the magnetic susceptibility from the quantitative susceptibility mapping…

Image and Video Processing · Electrical Eng. & Systems 2020-08-04 Chao Chai , Pengchong Qiao , Bin Zhao , Huiying Wang , Guohua Liu , Hong Wu , E Mark Haacke , Wen Shen , Chen Cao , Xinchen Ye , Zhiyang Liu , Shuang Xia

We propose a novel dark matter (DM) detection strategy for the models with non-minimal dark sector. The main ingredients in the underlying DM scenario are a boosted DM particle and a heavier dark sector state. The relativistic DM impinged…

High Energy Physics - Phenomenology · Physics 2017-10-25 Doojin Kim , Jong-Chul Park , Seodong Shin
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