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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Mapping the future: Unveiling global trends in smart waste management research by Fatemeh Boostani, Abooali Golzary, Donald Huisingh, Martin Skitmore

“…This study aims to investigate the current landscape and collaborative dynamics of research integrating Big Data with smart waste management (SWM) through a comprehensive bibliometric analysis. …”
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A ResNet-Based Super-Resolution Approach for Constructing a High-Resolution Temperature Dataset from ERA5 Reanalysis by Zijun Li, Hoiio Kong, Yuchen Wang, Chan-Seng Wong, Yu Du, Peitao Wang

“…These outcomes indicate that the neural network model presented in this article is a promising approach for generating high-resolution climate data, which holds significant importance for climate research and related applications.…”
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Division of Multi-harmonic Responsibilities Based on DBSCAN Clustering and Interval Regression by Shilong CHEN, Tao WU, Cheng GUO, Zirui ZHANG, Jinghao SUN

“…The traditional harmonic responsibility division methods are not applicable to the existing statistical harmonic monitoring data in the context of background harmonic impedance changes and background harmonic voltage fluctuations. …”
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Maritime Traffic Knowledge Discovery via Knowledge Graph Theory by Shibo Li, Jiajun Xu, Xinqiang Chen, Yajie Zhang, Yiwen Zheng, Octavian Postolache

“…Additionally, multi-source meteorological data are integrated with ship dynamic data, providing a more comprehensive representation of the maritime environment. …”
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Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…The framework achieves enhanced feature extraction from sensor time series data, enabling more precise and reliable detection of malodorous compounds. …”
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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Therefore, gathered SVP data sets often have numerous features and result in the curse of dimensionality. …”
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Business Intelligence adoption in Jordanian e-banking: Unveiling key drivers and challenges by Mohammad Mahmoud Saleem Alzubi

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Exploring machine learning for fake news detection: techniques, tools, challenges, and future research directions by Sapana Yakkundi, Rudragoud Patil, Sangeeta Sangani, R. H. Goudar, Swetha Indudhar Goudar, Aijazahamed Qazi

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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values by Luigi Augugliaro, Gianluca Sottile, Ernst C. Wit, Veronica Vinciotti

“…There have been numerous extensions of such methods in the past decade. Many practical applications have additional covariates or suffer from missing or censored data. …”
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A Comprehensive Survey on Integrated Photonic Switch Fabrics: From Device to Network Topology and Controller Design by Mohammad Amin Mahdian, Ebadollah Taheri, Mahdi Nikdast

“…Emerging applications such as Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data are significantly increasing data traffic within data center networks and high-performance computing (HPC) systems. …”
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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

“…Despite these advances, a significant challenge persists in curated dialogue data scarcity, especially in Conversational Question Answering (ConvQA) systems that require domain-specific information. …”
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Secure Image Transmission Using Multilevel Chaotic Encryption and Video Steganography by Suhad Naji Alrekaby, Maisa’a Abid Ali Khodher, Layth Kamil Adday, Reem Aljuaidi

“…The swift advancement of information and communication technology has made it increasingly difficult to guarantee the security of transmitted data. Traditional encryption techniques, particularly in multimedia applications, frequently fail to defend against sophisticated attacks, such as chosen-plaintext, differential, and statistical analysis attacks. …”
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Skills Prediction for the South African Food and Beverages Manufacturing Sector by Megashnee Munsamy, Arnesh Telukdarie

“…The source of big data is skills-related publications from the Elsevier Scopus database, for the period 1999 to 2020. …”
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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…These models were trained and validated on a dataset of 329 data points, assessed through performance metrics and visualizations. …”
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