Research on Flame Temperature Measurement Technique Combining Spectral Analysis and Two-Color Pyrometry by Pan Pei, Xiaojian Hao, Shenxiang Feng, Tong Wei, Chenyang Xu

“…In comparison to traditional two-color infrared thermometers and Tunable Diode Laser Absorption Spectroscopy (TDLAS) technology, the maximum relative temperature measurement error was 2.1%. This work provides technical insights into the development of high-resolution, low-cost flame temperature imaging technology applicable across a wide range of fields.…”
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Deconvolution of cell types and states in spatial multiomics utilizing TACIT by Khoa L. A. Huynh, Katarzyna M. Tyc, Bruno F. Matuck, Quinn T. Easter, Aditya Pratapa, Nikhil V. Kumar, Paola Pérez, Rachel J. Kulchar, Thomas J. F. Pranzatelli, Deiziane de Souza, Theresa M. Weaver, Xufeng Qu, Luiz Alberto Valente Soares Junior, Marisa Dolhnokoff, David E. Kleiner, Stephen M. Hewitt, Luiz Fernando Ferraz da Silva, Vanderson Geraldo Rocha, Blake M. Warner, Kevin M. Byrd, Jinze Liu

“…Abstract Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biology. While deep learning increasingly plays a role, it is difficult to generalize due to variability at the level of cells, neighborhoods, and niches in health and disease. …”
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Low-Light Image Enhancement Using CycleGAN-Based Near-Infrared Image Generation and Fusion by Min-Han Lee, Young-Ho Go, Seung-Hwan Lee, Sung-Hak Lee

“…This advancement holds substantial promise for applications where dependable image visibility is critical, such as autonomous driving and CCTV (Closed-Circuit Television) surveillance systems.…”
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Deep Learning-Based Multimode Fiber Distributed Temperature Sensing by Luxuan Yang, Xiaoyan Wang, Tong Wu, Huichuan Lin, Songjie Luo, Ziyang Chen, Yongxin Liu, Jixiong Pu

“…This non-contact, high-precision MMF-based temperature measurement method, driven by deep learning, is suitable for applications in hazardous environments.…”
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Li-Ion Battery State of Health Estimation Based on Short Random Charging Segment and Improved Long Short-Term Memory by Aina Tian, Zhe Chen, Zhuangzhuang Pan, Chen Yang, Yuqin Wang, Kailang Dong, Yang Gao, Jiuchun Jiang

“…Lithium-ion batteries have been used in a wide range of applications, including electrochemical energy storage and electrical transportation. …”
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Current–Pressure Dynamics Modeling on an Annular Magnetorheological Valve for an Adaptive Rehabilitation Device for Disabled Individuals by Fitrian Imaduddin, Zaenal Arifin, Ubaidillah, Essam Rabea Ibrahim Mahmoud, Abdulrahman Aljabri

“…Accurately capturing this relationship is vital to predict the pressure drop response to current variations, facilitating the development of effective control systems in such rehabilitation applications. This study employs a linear black-box modeling approach to characterize the current–pressure dynamics of an annular MR valve. …”
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Machine Learning Models for the Prediction of Wind Loads on Containerships by Nastia Degiuli, Carlo Giorgio Grlj, Ivana Martić, Sandi Baressi Šegota, Nikola Anđelić, Darin Majnarić

“…The models based on the gradient-boosted tree method slightly outperformed those based on the multilayer perceptron method, particularly in terms of mean absolute error. The study demonstrates that accurate prediction of wind load coefficients is feasible, making these models a reliable tool for practical engineering applications.…”
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A novel method for assessing postmortem interval using radon radioisotopic decay – an internal radon ‘time of death clock’ by Behnam Ashrafkhani, Armin Tabesh, Fredrik Tamsen, Aaron A. Goodarzi, Martin Tondel, Robert Ian Thompson, Michael E. Wieser

“…If validated empirically, this approach lays the groundwork for a physics-based method for PMI estimation with potential applications in forensic science and radiation biology.…”
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Face Recognition Based on Optimized Projections for Distributed Intelligent Monitoring Systems by Aihua Yu, Huang Bai, Binbin Sun, Gang Li, Beiping Hou

“…Compressive sensing (CS), as a new theory of signal processing, has found many applications. This paper deals with a CS-based face recognition system design. …”
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Biologics developability data analysis using hierarchical clustering accelerates candidate lead selection, optimization, and preformulation screening by Kevin James Metcalf, Galen Wo, Jan Paulo Zaragoza, Fahimeh Raoufi, Jeanne Baker, Daoyang Chen, Mehabaw Derebe, Jason Hogan, Amy Hsu, Esther Kofman, David Leigh, Mandy Li, Dan Malashock, Cate Mann, Soha Motlagh, Jihea Park, Karthik Sathiyamoorthy, Madhura Shidhore, Yinyan Tang, Kevin Teng, Katharine Williams, Andrew Waight, Sultan Yilmaz, Fan Zhang, Huimin Zhong, Laurence Fayadat-Dilman, Marc Bailly

“…Due to the amount of data acquired for these molecules, manual analysis methods to rank molecules are error prone and time-consuming. Here, we present applications of hierarchical clustering analysis for data-driven lead selection of biologics and preformulation screening using high throughput developability data. …”
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High-precision three-dimensional imaging based on binocular meta-lens and optical clue fusion by Yuzhou Song, Yifei Zhang, Xiaoyuan Liu, Takuo Tanaka, Mu Ku Chen, Zihan Geng

“…Metalens-based 3D imaging is highly valued for imaging applications thanks to its compactness, with enhanced precision remaining a key research pursuit. …”
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Retrieval of Total Precipitable Water Under All‐Weather Conditions From Himawari‐8/AHI Observations Using the Generative Diffusion Model by Haixia Xiao, Feng Zhang, Renhe Zhang, Feng Lu, Miao Cai, Lingxiao Wang

“…These findings highlight TPWDiff‐CB's high accuracy and its promising potential for applications in weather and climate research.…”
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Enhanced OCV Estimation in LiFePO4 Batteries: A Novel Statistical Approach Leveraging Real-Time Knee/Elbow Detection by Teodor-Iulian Voicila, Bogdan-Adrian Enache, Vasilis Argyriou, Panagiotis Sarigiannidis, Mihai-Alexandru Pisla, George-Calin Seritan

“…Lithium iron phosphate (LFP) batteries are particularly suitable for these applications due to their superior thermal stability and long cycle life. …”
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SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection by Suresh Aala, Sravan Kumar Sikhakolli, Sunil Chinnadurai, Anuj Deshpande, Karthikeyan Elumalai, Md. Abdul Latif Sarker, Hala Mostafa

“…Hyperspectral imaging (HSI) has evolved as an important tool for many applications, including remote sensing, crime investigation, target detection, disease diagnosis, and anomaly detection. …”
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Identification of Some Variables Affecting the Granting of The Fundamentals of Computer and Internet Certificate (IC3) by Marwan Dabdoub, Ahmed Esmaeel

“…The affect of the response of the examination score in the computer applications by seven explanatory variables were studied, the variables are: the score of computer basics examination, the examinee's sex, the experience of the examinee in the computer, the specialization of the examinee, the participation of the examinee in courses, degree to be obtained through study and the repeated participation in the examination.…”
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Accurate single-shot full-Stokes detection enabled by heterogeneous grain orientations in polycrystalline films by Mingwei Ge, Yuan Yao, Tyler Wang, Subhrangsu Mukherjee, Harald Ade, Mengxia Liu

“…Using deep learning, GOStokes precisely determines arbitrary polarization states with an averaged mean absolute error below 1%. Our demonstration underscores the potential of combining low-cost, scalable, polycrystalline films with reconstruction algorithms for advanced polarimetric applications.…”
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Disordered-guiding photonic chip enabled high-dimensional light field detection by Zhijuan Gu, Weilun Zhang, Yu Yu, Xinliang Zhang

“…Experimentally, the accurate detection of broad spectrum with mixed full-Stokes polarization states is realized with a polarization error of 1.2° and spectral resolution as high as 400 pm. …”
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A Reconfigurable Digital Beamformer Implemented on a Field-Programmable Gate Array for Real-Time and Resource-Efficient Direction-of-Arrival Estimation by Yuting Wang, Liyuan Zhu, Tianxiang Wu, Shunli Ma

“…By dynamically switching operational modes and fine-tuning the granularity of processing tasks, this architecture maximizes the efficient use of Field-Programmable Gate Array (FPGA) resources, ensuring optimal performance and flexibility in real-time signal processing applications. Simulation results show that with an input signal-to-noise ratio of 10 dB, the beamformer can complete DOA estimation with an error of less than 1° within microsecond-level delay.…”
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Optimizing Energy Supply for Full Electric Vehicles in Smart Cities: A Comprehensive Mobility Network Model by Victor Fernandez, Virgilio Pérez, Rosa Roig

“…Results indicate high accuracies in SoC tracking (error < 0.05%) and energy demand forecasting (MSE ~6 × 10⁻⁴), demonstrating the model’s reliability and adaptability across diverse urban environments. …”
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Data-driven available capacity estimation of lithium-ion batteries based on fragmented charge capacity by Zhen Zhang, Xin Gu, Yuhao Zhu, Teng Wang, Yichang Gong, Yunlong Shang

“…However, incomplete charging cycles in practical applications challenge conventional methods. Here we manipulate fragmented charge capacity data to estimate available capacity without complete charging information. …”
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