A CASE STUDY OF CLASH DETECTION FOR EARLY DESIGN PHASES IN BUILDING INFORMATION MODELLING by Veli Mustafa Yönder, Hasan Burak Çavka

“…Building information modeling and one of its associated advantages, clash/overlap detection, can play an important role during the initial stages of design development. …”
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NeuroDetect: Deep Learning-Based Signal Detection in Phase-Modulated Systems with Low-Resolution Quantization by Chanula Luckshan, Samiru Gayan, Hazer Inaltekin, Ruhui Zhang, David Akman

“…This manuscript introduces NeuroDetect, a model-free deep learning-based signal detection framework tailored for phase-modulated wireless systems with low-resolution analog-to-digital converters (ADCs). …”
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SRW-YOLO: A Detection Model for Environmental Risk Factors During the Grid Construction Phase by Yu Zhao, Fei Liu, Qiang He, Fang Liu, Xiaohu Sun, Jiyong Zhang

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Improved Building Information Modeling Based Method for Prioritizing Clash Detection in the Building Construction Design Phase by Iman Bitaraf, Ali Salimpour, Pedram Elmi, Ali Akbar Shirzadi Javid

“…The rising complexity of construction projects and the industry’s commitment to sustainable practices have driven the extensive adoption of Building Information Modeling (BIM) technology. A core function of BIM is the early identification and resolution of clashes during the design phase, which serves to mitigate costly rework and delays in the construction process. …”
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Comprehensive study on tree‐contact single‐phase‐to‐ground faults: Modelling, risk analysis, and detection recommendations by Dong Liang, Bingyin Xu, Pengwei Wang, Wei Wang

“…Abstract Tree‐contact single‐phase‐to‐ground faults (TSFs) present a significant fire hazard in electrical distribution systems, and research on the development, modelling, and monitoring is insufficient. …”
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Development of a turn-to-turn fault detection method in the three-phase transformer's winding by R. G. Mustafin, Yu. V. Piskovatsky, F. R. Sirazutdinov, D. F. Gubaev, A. N. Gavrilenko

“…A simplified model of the three-phase transformer magnetic system has been developed. …”
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Noise robust detection of quantum phase transitions by Kevin Lively, Tim Bode, Jochen Szangolies, Jian-Xin Zhu, Benedikt Fauseweh

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Breast Cancer Image Classification Using Phase Features and Deep Ensemble Models by Edgar Omar Molina Molina, Victor H. Diaz-Ramirez

“…This work presents a hybrid feature extraction approach for breast cancer detection that employs variants of EfficientNetV2 network and convenient image representation based on phase features. …”
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SegPhase: development of arrival time picking models for Japan’s seismic network using the hierarchical vision transformer by Shinya Katoh, Yoshihisa Iio, Hiromichi Nagao, Hiroshi Katao, Masayo Sawada, Kazuhide Tomisaka

“…Compared to PhaseNet, the most widely used deep learning model, SegPhase improved arrival time match rates by ~ 11% and detected ~ 15% more events in continuous waveform tests, particularly enhancing the detection of small-magnitude events. …”
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Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach by Vasilis Z. Marmarelis

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An influence of a modulating signal starting phase on the modulation detection by A. P. SĘK, E. B. SKRODZKA

“…For a sinusoidal carrier at a frequency of 0.25, 1 and 6 kHz it is shown that there is no effect of a sinusoidal modulator starting phase. Data shown in this paper are consistent with predictions of models based on excitation pattern changes and with a concept according to which AM/FM detection at low modulation rates depends mainly on maximum and minimum values of signal amplitude/frequency. …”
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Detecting and drilling in critical inclination window in slant wells by means of a two phase liquid-solid CFD model and experimental study by Mohsen Dehvedar, Parviz Moarefvand

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Classical (and quantum) heuristics for gravitational wave detection by Raffaele Tito D’Agnolo, Sebastian A. R. Ellis

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Radar Detection Simulation by Digital Twins of Target and Antenna System by A. S. Grigoriev, A. A. Kazantsev, A. M. Terentyev, B. S. Stavtsev

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Construction and application of foundational models for intelligent processing of microseismic events in mines by Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG

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Proactive detection of cyber-physical grid attacks: A pre-attack phase identification and analysis using anomaly-based machine learning models by Shaharier Kabir, Nasif Hannan, Abu Shufian, Md Saniat Rahman Zishan

“…We investigate the effectiveness of machine learning models for early detection of cyber-attacks in smart grids, emphasizing the identification of pre-attack phases. …”
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Differential Seismic Phase Detection Probability as a Potential Discriminant of Explosions and Earthquakes by Chenglong Duan, Brandon Schmandt, Ross Maguire, Ruijia Wang, Qingkai Kong

“…Deep learning models trained to estimate the probability of seismic P and S phases are rapidly expanding the scale of local event detections. …”
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Mathematical Modeling of Phase-Locking Systems with Pulse Modulation by M. P. Batura, L. Yu. Shilin, D. P. Kukin

“…The considered mathematical models of the studied class of devices take into account the nonlinear nature of systems operating in the frequency phase detection mode, and significantly reduce the calculation time when modeling processes on a computer.…”
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Ambiguity-Resolved Model Tests for Carrier-Phase GNSS by Peter J. G. Teunissen

“…Although the theory of mixed-integer inference is well developed for GNSS parameter estimation, such is not yet the case for the validation and monitoring of mixed-integer GNSS carrier-phase models. It is the goal of this research to contribute to this field by introducing a class of mixed-integer model (MIM) tests for carrier-phase GNSS. …”
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Traffic Scene Analysis using Hierarchical Sparse Topical Coding by P. Ahmadi, I. Gholampour, M. Tabandeh

Subjects: “…traffic phase detection…”
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