Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

“…This allows the system to iteratively refine and select the optimal K value based on classification performance, ensuring that the best K is identified for the specific dataset and task. The system utilizes the Grey Level Co-occurrence Matrix (GLCM) for feature extraction, which is robust to changes in rotation and scale. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…This study focuses on kidney stones, cysts, and tumors, the three most common types of renal illness, using a dataset of 12,446 CT urogram and whole abdomen images, aiming to move toward an AI-based kidney disease diagnosis system while contributing to the wider field of artificial intelligence research. …”
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BOARD EDUCATION, DIRECTOR'S AGE AND EARNINGS MANAGEMENT OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Idris Ibrahim, Salami Suleiman, Luka Mailafia

“… Utilizing a complete nine-year dataset, this research investigates the link among age diversity among directors, board education qualifications, and earnings management in the context of Nigerian listed deposit money banks. …”
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Adversarial detection based on feature invariant in license plate recognition systems by ZHU Xiaoyu, TANG Peng, ZHANG Haochen, QIU Weidong, HUANG Zheng

“…The detection system was deployed into widely used open-source license plate recognition systems, HyperLPR and EasyPR, and extensive experiments were conducted using the real dataset CCPD. The results from experiments involving 11 different types of attacks indicate that, compared to 4 other advanced detection methods, FIAD can effectively detect all these attacks at a lower false positive rate, with an accuracy consistently reaching 99%. …”
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Supply Chain Management, Procurement Practices and Performance of Selected Commercial Banks in Uganda: A Case of Centenary Bank and Finance Trust Bank. by Niwaha, Daphine

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Analisis Sentimen Kebijakan Penerapan Kurikulum Merdeka Sekolah Dasar dan Sekolah Menengah pada Media Sosial Twitter dengan Menggunakan Metode Word Embedding dan Long Short Term Me... by Alif Rizal Maulana, Satrio Hadi Wijoyo, Yusi Tyroni Mursityo

“…Metode yang digunakan untuk mempersiapkan data adalah word embedding dengan menggunakan layers embedding dari library TensorFlow. Dataset dkumpulkan dengan teknik text mining yang menggunakan bahasa pemrograman Python dan Twitter API. …”
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Multicentre case-control study on the association between COVID-19 vaccines and neurological disorders (COVIVAX) by Elisabetta Pupillo, Elisa Bianchi, Ettore Beghi, Francesco Andrea Pedrazzini, Angela Giglio, Edoardo Dalmato Schilke, Marco Percetti, Carlo Morotti Colleoni, Gabriele Mainini, Paolo Calabresi, Guido Primiano, Giovanni Frisullo, Alessandro Padovani, Viviana Cristillo, Andrea Pilotto, Davide Arici, Stefano Gipponi, Gioacchino Tedeschi, Alessandro d’Ambrosio, Rosario Domenico Melisi, Antonio Gallo, Alvino Bisecco, Andrea Salmaggi, Paola Basilico, Chiara Scaccabarozzi, Lorenzo Kiferle, Raffaella Valenti, Gianluca Avino, Annamaria Borghi, Sara Contardi, Andrea Zini, Carlo Ferrarese, Simone Beretta

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Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method by Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng, Xinbing Wang, Chenghu Zhou

“…We manually selected 2,118 data points from it to supplement the previously constructed global Sm-Nd dataset, increasing its sample count by over 20%. …”
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Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges by Yunping Fang, Stergios-Aristoteles Mitoulis, Daniel Boddice, Jialiang Yu, Jelena Ninic

“…The framework, validated using the Arial Aqueduct Bridge case, reduces modelling time and computational demands, thereby streamlining construction simulations with improved accuracy and cost efficiency. The dataset collected for model generation and validation is openly available at https://doi.org/10.17632/znxxsgn2ky.1.…”
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CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope by Antoine Allard, Maxime Liboz, Raphaël Crépin, Sid Labdi, Olek Maciejak, Michel Malo, Clément Campillo, Guillaume Lamour

“…Although existing software tools, both open-source and from AFM manufacturers, can analyze cells individually, there is a growing need for fast and accessible codes to compile data from multiple cells into a single dataset. To address this, we present CellMAP, a user-friendly software tool that streamlines the batch-processing of AFM-derived topography and stiffness maps of living cells. …”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Our best model outperformed existing methods when benchmarked on an independent dataset of 498 anti-E. coli peptides. Additionally, we screened anti-E. coli proteins in the proteomes of three probiotic bacterial strains and created a web-based platform, “EIPpred”, enabling users to design peptides with desired MIC values ( https://webs.iiitd.edu.in/raghava/eippred ).…”
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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…The essential contribution of this work is collecting a dataset of fully annotated wrist radiographs that are specific to this topic, which can be used as a resource to train and validate our models. …”
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Role of Interleukin-28B in clearance of HCV in acute and chronic hepatitis patients in Kirkuk city by Muhannad Abdullah Alazzawy

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An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain by Muhammad Asrol, . Suharjito, Riyanto Jayadi

“…The objective of the research is to develop a model for inferring the quality of perishable products using an IoT sensor dataset to monitor perishable product quality continuously. …”
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Movement traits important to conservation and fisheries management: an example with red snapper by Susan K. Lowerre-Barbieri, Kara Wall, Claudia Friess, Sean Keenan, Chad Lembke, Joseph Tarnecki, Laura Jay Williams-Grove, William F. Patterson

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A guided approach for cross-view geolocalization estimation with land cover semantic segmentation by Nathan A.Z. Xavier, Elcio H. Shiguemori, Marcos R.O.A. Maximo, Mubarak Shah

“…Our solution demonstrates comparable performance to state-of-the-art methods, exhibiting enhanced stability and consistency regardless of the street view location or the dataset used. Additionally, our method generates a focused discrete probability distribution that acts as a heatmap. …”
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The characteristics of intestinal microflora in infants with rotavirus enteritis, changes in microflora before and after treatment and their clinical values by Qiyan Yan, Yuanyuan Chen, E-Bin Gao, Yanbo Lu, Junhua Wu, Haiyan Qiu

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Relationship between weather parameters and risk of exertional heat injuries during military training by Beng Hoong Poon, Alexander Wilhelm Gorny, Kaiyuan Zheng, Wee Kiong Cheong

“…Methods: Data from the SAF's heat injury registry and MSS’ meteorological data from 2012 to 2018 were used to establish a consolidated dataset of EHI incidents and same-day weather parameters rank-ordered in deciles. …”
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An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis by Subhash Mondal, Ranjan Maity, Amitava Nag

“…The proposed ANN model is trained using the Framingham Heart Study (FHS) dataset, which comprises 4240 data instances and 15 potential risk factors. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…The algorithm was optimized on a synthetic Texas aquifer dataset to identify the minimum time series lengths required for accurate clustering (> 90% accuracy). …”
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