USER ACCEPTANCE OF TERMS & CONDITIONS AND PRIVACY POLICY: A LEGAL ANALYSIS OF THE POSITION OF FOOD DELIVERY MOBILE APPS IN THE MALAYSIAN CONTEXT by Mohammed Ibrahim Al Rezan, Md. Mostafa Hosain, Mohammad Ershadul Karim

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Dataset for Optical Processes in Dense Astrophysical and Laboratory Plasmas by Nenad M. Sakan, Vladimir A. Srećković, Zoran J. Simić, Momchil Dechev

“…The methodologies of our research, as well as the current and future elements of their applications, are explained. In addition to being helpful to other researchers for achieving a variety of goals, the data from this study could be useful the interdisciplinary fields of machine learning, astrochemistry and fusion physics. …”
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Elph: An open-source program for acquisition control and analysis of electrophysiological signals by A.V. Zakharov

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A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture by Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, Faheem Khan, Naoufel Kraiem, Leila Jamel, Latifah Almuqren, Roobaea Alroobaea

“…AI-driven precision agriculture applications can benefit from the large data source that remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales throughout the year. …”
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GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases [version 1; peer review: 2 approved] by Samir Bhatt, John-Stuart Brittain, Houriiyah Tegally, Rhys Inward, Joseph Tsui, Gaspary Mwanyika, Bernardo Gutierrez, Sofonias Kifle Tessema, Tuyen Huynh, Abhishek Dasgupta, John T. McCrone, George Githinji, Moritz U.G. Kraemer, Stephen Ratcliffe

“…Its modular approach already supports a diverse range of scientific applications, including genomic analysis, epidemiological modeling, and large-scale data processing. …”
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The AI revolution in micro-credentialing: personalized learning paths by Pooja Shanmughan, Jeena Joseph, Brinda Nair S., Anitha S. M., Anuja C. S., Jobin Jose

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A Logarithmic Transfer Function for Binary Swarm Intelligence Algorithms: Enhanced Feature Selection with White Shark Optimizer by Seyma Gules, Alper Kılıç, Mustafa Servet Kiran, Mesut Gunduz

“…With the increasing size of datasets in data mining applications, feature selection has become critical for enhancing classification accuracy and reducing computational complexity. …”
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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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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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