Insight into scale selection of dimensionless phase-field model of alloy solidification by Yuchen Tang, Ang Zhang, He Liu, Gengyun Zhang, Chuangming Li, Yongfeng Li, Zhihua Dong, Guangsheng Huang, Bin Jiang

“…The effect of the scales on characteristic parameters, including capillary length and relaxation time, is discussed, and a reasonable scale range is determined by evaluating both numerical accuracy and computing performance. Four typical phase-field equations are perfectly mapped by selecting specific concentration and temperature scales, which validates the applicability of the reformulated model and provides guidance for further application of the phase-field models. …”
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Parametric effects of phase change material on solar still productivity: Thermal modeling and selection guides by Adil A.M. Omara, Omer Elfarouk E. Mohamed, Abubaker A.M. Mohammedali, R. Dhivagar

“…In order to investigate the effect of PCM parameters besides providing a clear guide for PCM selection, the current paper presents a thermal modeling on solar sill-PCM behavior for different parameters. …”
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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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A Two-Phase Feature Selection Framework for Intrusion Detection System: Balancing Relevance and Computational Efficiency (2P-FSID) by C. Rajathi, Rukmani Panjanathan

“…This study proposes the Two-Phase Feature Selection framework for Intrusion Detection (2P-FSID) to enhance model performance and interpretability. …”
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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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EFFECTS OF TEMPERATURE AND PERCENTAGE OF ORGANIC MODIFIER ON RETENTION AND SELECTIVITY IN RP-HPLC USING SOLVATION PARAMETER MODEL by M.R. Hadjmohammadi

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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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Rapid, comprehensive search of crystalline phases from X-ray diffraction in seconds via GPU-accelerated Bayesian variational inference by Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita, Masahiko Demura

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Two different mechanisms support selective attention at different phases of training. by Sirawaj Itthipuripat, Kexin Cha, Anna Byers, John T Serences

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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

Subjects: “…Unbalanced three-phase distribution networks…”
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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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Bayesian estimation to identify crystalline phase structures for X-ray diffraction pattern analysis by Ryo Murakami, Yoshitaka Matsushita, Kenji Nagata, Hayaru Shouno, Hideki Yoshikawa

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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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Liquid-phase selective hydrogenation of acetylene with the feed composition of front-end process by Zhenyu Kang, Xiaocheng Lan, Tiefeng Wang

“…In this work, N-methyl-2-pyrrolidone (NMP) was introduced as a liquid phase to the front-end hydrogenation process, with using Pd/SiO2 as a model catalyst, to improve the selectivity to ethylene. …”
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