Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems by Bing Han, Zilong Ge, Zhigang Su, Jingtang Hao

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Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions by Ekaterina Mozhegova, Asad Masood Khattak, Adil Khan, Roman Garaev, Bader Rasheed, Muhammad Shahid Anwar

“…The results of this research advance understanding in the fields of multimodality and adversarial robustness and suggest new avenues for future studies focused on optimizing data flow within multimodal systems.…”
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A Novel Method for Simulation Model Generation of Production Systems Using PLC Sensor and Actuator State Monitoring by Norbert Szántó, Szabolcs Fischer, Gergő Dávid Monek

“…It offers a practical and scalable solution for maintaining up-to-date digital representations of manufacturing systems and provides a foundation for further extensions into Digital Shadow and Digital Twin applications.…”
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A Guidance Framework for Resolving Problems of Credit Card Churn Detection Systems by Fehim Altınışık, Ahmet Sayar

“…In addition, intuition about infrastructure, architecture, processes, technologies, and other artifacts used during the study is included. The data manipulation and pre-processing framework proposed in this study is applicable to both real and synthetic banking data. …”
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Driving heterogeneity identification using machine learning: A review and framework for analysis by Xue Yao, Simeon C. Calvert, Serge P. Hoogendoorn

“…With the growing availability of driving behaviour data, Machine Learning (ML) techniques have become widely used for analysing driving behaviour and identifying heterogeneity. …”
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Transformed L1 Regularization for Sparse Photoacoustic Tomography by Xueyan Liu, Lu Wang, Xin Wang, Ziqi Hao, Xiaolong Hu

“…The reconstruction of PAT images from incomplete and noisy experimental data is an ill-posed problem that requires regularization techniques to ensure meaningful and stable solutions. …”
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A Comparative Study on Battery Modelling via Specific Hybrid Pulse Power Characterization Testing for Unmanned Aerial Vehicles in Real Flight Conditions by Waiard Saikong, Prasophchok Phumma, Suradet Tantrairatn, Chaiyut Sumpavakup

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The representation of architectural heritage: a process of knowledge-sharing between history and virtual reconstruction by Mariapaola Vozzola

“…From the presentation of a review of some national and international projects, different solutions will be analysed for the study, representation and digitisation of Architectural and Cultural Heritage through the use of virtual models related to virtual reconstruction, to identify streamlined, applicable and replicable solutions on a large scale where the protagonists of the scene are both the artefact model and the data used for virtual reconstruction. …”
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Modelling the temporal dynamics of subarctic surface temperature inversions from atmospheric reanalysis for producing point-scale multi-decade meteorological time series in mountai... by Victor Pozsgay, Stephan Gruber

“…This model uses ever-improving physically based data, making it future-proof and versatile in its regional applications.…”
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Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts by Hilmar Lapp, Nico Cellinese, Stijn Conix

“…We propose a set of requirements that a system for defining such taxa should meet for computational data science: taxon definitions should maintain conceptual consistency, be reproducible via a known algorithm, be computationally automatable, and be applicable across the Tree of Life. …”
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Text Geolocation Prediction via Self-Supervised Learning by Yuxing Wu, Zhuang Zeng, Kaiyue Liu, Zhouzheng Xu, Yaqin Ye, Shunping Zhou, Huangbao Yao, Shengwen Li

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Timestamp-Guided Knowledge Distillation for Robust Sensor-Based Time-Series Forecasting by Jiahe Yan, Honghui Li, Yanhui Bai, Jie Liu, Hairui Lv, Yang Bai

“…Accurate time-series forecasting plays a vital role in sensor-driven applications such as energy monitoring, traffic flow prediction, and environmental sensing. …”
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Detailed Transfer Line Beam Characteristics at an Operational Proton Therapy Center [version 2; peer review: 2 approved] by George H. Gillespie, Joshua Konzer

“…Beam profile monitor (BPM) data collected along the beamlines provided detailed beam measurements. …”
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TabMoE: A General Framework for Diverse Table-Based Reasoning with Mixture-of-Experts by Jie Wu, Mengshu Hou

“…However, existing table-based pre-training methods frequently exhibit constraints, supporting only single tasks while requiring substantial computational resources, which hinders their efficiency and applicability. In this paper, we introduce the TabMoE, a novel framework based on mixture-of-experts, designed to handle a wide range of tasks involving logical reasoning over tabular data. …”
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The Impact of the Human Factor on Communication During a Collision Situation in Maritime Navigation by Leszek Misztal, Paulina Hatlas-Sowinska

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Evaluating the effects of IFRS 9 on Jordanian banks’ credit and financial metrics by Amer Morshed

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A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced by Anuradha Rao

“…Artificial intelligence (AI) in radiology and medical science is finding increasing applications with annotations being an integral part of AI development. …”
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. This study is gaining increasing attention as researchers aim to develop tools that automate visual tasks and replicate human visual awareness. …”
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Digital Architectural Form Generation Through Pixel System-Driven Image Feature Information by Hee-Sung An, You-Chang Jeon, Sung-Wook Kim

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The Young’s Modulus as a Mechanical Biomarker in AFM Experiments: A Tool for Cancer Diagnosis and Treatment Monitoring by Stylianos Vasileios Kontomaris, Anna Malamou, Andreas Stylianou

“…This review explores recent advances in data processing for atomic force microscopy (AFM) nanoindentation on soft samples, with a focus on “apparent” or “average” Young’s modulus distributions used for cancer diagnosis and treatment monitoring. …”
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