End-to-end deep learning pipeline for real-time Bragg peak segmentation: from training to large-scale deployment by Cong Wang, Valerio Mariani, Frédéric Poitevin, Matthew Avaylon, Jana Thayer

“…Using this integrated approach, our pipeline achieves accuracy comparable to traditional methods tuned by human experts while eliminating the need for experiment-specific parameter tuning. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…Buildings account for more than one third of global energy consumption and carbon emissions, making the optimization of their energy use crucial for sustainability. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…With the continuous development of integrated energy systems and the flexible interaction between load side and source side resources，existing single load forecasting methods are difficult to grasp the coupling characteristics between multiple loads，resulting in insufficient accuracy in the prediction of multiple loads in integrated energy systems. …”
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From Reactive to Proactive: Advances Leading the Paradigm Shift in Cholecystitis Management by Tamer A. Addissouky

“…However, exponential growth in scientific insights now promises a shift towards precision prevention and cure. Materials and Methods: Pathophysiological mechanisms involved in cystic duct obstruction by gallstones cause gallbladder stasis, direct mucosal injury, vascular compromise, leukocyte infiltration, and secondary infection. …”
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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…Thus, multiple data sources, including SMS, E-Mail, and URL links, are used in this paper to detect and mitigate phishing attacks.MethodsInitially, the input data is collected from the SMS, E-Mail, and URL datasets. …”
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Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…Electronic Health Records (EHRs) have become an increasingly significant source of information for healthcare professionals and researchers. …”
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Fault analysis of chemical equipment based on an improved hybrid model. by Wu Huiyong, Kuan Jiang, Wang Yanyu

“…However, traditional fault detection techniques often exhibit limitations when applied to the complex operational conditions, varying environmental factors, and multimodal data encountered in chemical equipment. These conventional methods typically rely on a single signal source or shallow feature extraction, which makes it difficult to effectively capture the deep, implicit information within the equipment's operating state. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…To address this challenge, we introduce a robust estimation framework based on a three-parameter Weibull distribution in which the location parameter naturally corresponds to the unknown exposure time. Our method employs a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-divergence criterion—a robust generalization of the standard cross-entropy criterion—optimized via a tailored majorization–minimization (MM) algorithm designed to guarantee a monotonic decrease in the objective function despite the non-convexity typically present in robust formulations. …”
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A neural dynamics model prediction-based adaptive control system for AUV formation control by Jiwen ZHANG, Bo XU, Chuyan WANG, Zhaoyang WANG

“…Active and inhibitory sources are created to solve the local optimization problem of potential field methods. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Evaluation of the performance of radioprotection ionization chambers used in radiometric survey of radiology clinical systems by Ezequiel da Silva, Lucas Rodrigues Santos, Ladyjane Pereira Fontes Assemany, Maria da Penha Albuquerque Potiens

“…Radiation detectors are equipment used to measure the levels of radiation emitted by sources, be they natural or artificial. Among the most commonly used detectors are ionization chambers (IC). …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…By dividing the brain image into targeted regions around the brainstem, ventricular system, and striatum, our method optimizes GPU usage and significantly reduces training times, while maintaining high accuracy. …”
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Reversed-Phase High-Performance Liquid Chromatography (RP-HPLC) Quantitative Analysis of L-Arginine in Freeze-Dried Red Dragon Fruits (<i>Hylocereus polyhizus</i>) by Wan Mazlina Md Saad, Mohd Qamarul Aizat Isha, Muhamad Faizzudin Mohamad Zan, Siti Mastura Hanim Sallehoddin

“…The fruit is cultivated worldwide and firmly established as a source of nutrition, thus, making good value in terms of its potential harvesting by various methods. …”
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Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

“…To overcome these drawbacks, we present a new method called FADE-MAS2D (Fractional Advection Diffusion Mobile Actuator and Sensor) in which swarming UAVs are applied as optimal coverage control actuators to various methane release scenarios (from single to multi-source disturbances) utilizing an anomalous diffusion model with different time, and space fractional orders subject to wind fields. …”
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Simulation Research on Thermal Characteristics and Experimental Study on Electronic Control Board of the Miniature High-Speed Digital Valve by Meisheng Yang

“…In this study, the dimension of an electromagnetic structure is normalized into a unified variable, and the numerical analysis method is used to optimize the values of each parameter size on the premise of satisfying the requirements. …”
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Implications of helium accumulation models in helium-rich basins in China for the enrichment and exploration of helium in coal measures by Yunbo LI, Chengtao WANG, Dangyu SONG, Xiaowei SHI, Rongqi WANG

“…However, relevant research remains in its infancy. MethodsBased on a summary and analysis of helium generation, migration, and accumulation theories in natural gas reservoirs, this study systematically investigated the enrichment patterns of helium in coal measures and proposed exploration targets. …”
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Panoramic X-Ray Synthesis From Dental CBCT Using Patient-Tailored Simulated Geometry With Uniform Projection Sampling by Anusree P. Sunilkumar, Bikram Keshari Parida, Seong-Yong Moon, Wonsang You

“…Our method adjusts the ray trajectory to be optimal for a patient&#x2019;s jaw shape and also achieves uniform ray sampling throughout the patient&#x2019;s jaw by progressively increasing ray sampling intervals. …”
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Outage probability for cooperative communication system with asymmetric channel by CHUAI Gang1, LIU Sheng1, WEN Xiao-jun1

“…Firstly, a mathematical model of cooperative system in asymmetric channel considering the link diversity gain between the source and destination was presented. An analytical expression of the average outage probability which was proved accurate by simulation was derived by using the method of characteristic function. …”
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Simulation of extreme flood events for risk assessment for flood control of a reservoir-lake-river system under spatially dependent uncertainties by Huili Wang, Bin Xu, Jianyun Zhang, Guoqing Wang, Ping-an Zhong, Xinman Qin, Xuesong Yang, Ran Mo, Jinshu Li, William W.-G. Yeh

“…New hydrological insights for the region: The results show that the proposed method can effectively simulate the spatial interdependencies of risk source variables based on limited historical data. …”
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Machine learning for defect condition rating of wall wooden columns in ancient buildings by Yufeng Li, Wu Ouyang, Zhenbo Xin, Houjiang Zhang, Shuqi Sun, Dian Zhang, Wenbo Zhang

“…This study proposes a Machine Learning-based classification method for rating the defect conditions of wooden columns in ancient building walls using Nondestructive Testing data, including defect images, micro-drilling resistance data, and material loss depths. …”
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