MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images by Angel Luis Perales Gomez, Juan Jesus Losada del Olmo, Pedro E. Lopez-de-Teruel, Alberto Ruiz, Felix J. Garcia Clemente, Andres Conesa Bueno

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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque, Mohammad Asif Hasan, Md. Abu Ismail Siddique, Tonmoy Roy, Tonmoy Kanti Shaha, Yamina Islam, Avijit Paul, Muhammad E. H. Chowdhury

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Considerations Regarding the Cytotoxicity of Certain Classes of Fungal Polyketides—Potential Raw Materials for Skincare Products for Healthy and Diseased Skin by Daniela Albisoru, Nicoleta Radu, Raluca Senin, Mihai Dan Caramihai, Mihaela Begea, Oksana Mulesa, Viviana Roman, Marinela Bostan

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A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

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Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis by Maxence Larose, Louis Archambault, Nawar Touma, Raphaël Brodeur, Félix Desroches, Nicolas Raymond, Daphnée Bédard-Tremblay, Danahé LeBlanc, Fatemeh Rasekh, Hélène Hovington, Bertrand Neveu, Martin Vallières, Frédéric Pouliot

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Improving Generalization of ML-Based IDS With Lifecycle-Based Dataset, Auto-Learning Features, and Deep Learning by Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Ren-Hung Hwang, Yuan-Cheng Lai, Laurens D'Hooge, Tim Wauters, Bruno Volckaert, Filip De Turck

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Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production. by Malwina Kotowicz, Magdalena Shumanska, Sven Fengler, Birgit Kurkowsky, Anja Meyer-Berhorn, Elisa Moretti, Josephine Blersch, Gisela Schmidt, Jakob Kreye, Scott van Hoof, Elisa Sánchez-Sendín, S Momsen Reincke, Lars Krüger, Harald Prüß, Philip Denner, Eugenio Fava, Dominik Stappert

“…Thus, managing heterogeneous biological data calls for efficient and tailored systems, especially in laboratories run by biologists with limited computational expertise. …”
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Development of a graphical user interface for visualizing solid-state crystal parameters from XRD data and the Cramer-Cohen algorithm for sustainable material management by Maulana Ardi, Irzaman, Wahjuni Sri, Priandana Karlisa

“…The interface enables users to select five crystal systems (cubic, tetragonal, hexagonal, orthorhombic, monoclinic), input X-ray diffraction angles (2θ) and Miller indices (khl), and automatically compute lattice parameters. …”
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Plataformas de Bajo Coste para la Realización de Trabajos Prácticos de Mecatrónica y Robótica by A. Valera, A. Soriano, M. Vallés

“…This paper presents a multidisciplinary platform for low cost which covers various issues related to the realization of practical work related to automatic control. Palabras clave: Sistemas controlados por computador, control de robots, sistemas multi-agente, sistemas embebidos, robots móviles, educación en control., Keywords: Computer Control Systems, Robot Control, Muti-agent Systems, Embedded Systems, Mobile Robots, Control Education.…”
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Weed detection based on deep learning from UAV imagery: A review by Lucía Sandoval-Pillajo, Iván García-Santillán, Marco Pusdá-Chulde, Adriana Giret

“…Precision agriculture (PA) has evolved in recent years thanks to sensors, hardware, software, and innovations in unmanned aerial vehicle (UAV) systems. These systems aim to improve the localized application of chemicals in weed control by using advanced image analysis techniques, computer vision, deep learning (DL), and geo-positioning (GPS) to detect and recognize weeds. …”
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Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers by Reza Kalantar, PhD, Manasi Ingle, FRCR, Romelie Rieu, BA, BmBCh, Sebastian Curcean, MD, Jessica Mary Winfield, PhD, Gigin Lin, MD, PhD, Christina Messiou, MD, MRCP, FRCR, Susan Lalondrelle, FRCR, Dow-Mu Koh, MD, FRCP, FRCR, Matthew David Blackledge, PhD

“…Purpose: The integration of magnetic resonance imaging into radiation therapy (RT) treatment necessitates automated segmentation algorithms for fast and accurate adaptive interventions, particularly in magnetic resonance imaging-integrated linear accelerator (MR-linac or MRL) treatment systems. However, the scarcity of data hampers the training of these models. …”
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Improving End-Point Position Control in Hydraulic Testing Machines with a Fuzzy Logic Based Approach by Serkan Anlak, Ekrem Düven

“…In this study, to avoid this need and automatically adjust PID controller coefficients, a fuzzy logic-based computation approach has been developed and applied to the existing control system. …”
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Detection and Classification of Power Quality Disturbances Based on Improved Adaptive S-Transform and Random Forest by Dongdong Yang, Shixuan Lü, Junming Wei, Lijun Zheng, Yunguang Gao

“…The increasing penetration of renewable energy into power systems has intensified transient power quality (PQ) disturbances, demanding efficient detection and classification methods to enable timely operational decisions. …”
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Detecting clinical medication errors with AI enabled wearable cameras by Justin Chan, Solomon Nsumba, Mitchell Wortsman, Achal Dave, Ludwig Schmidt, Shyamnath Gollakota, Kelly Michaelsen

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Identifying New High-confidence Polluted White Dwarf Candidates Using Gaia XP Spectra and Self-organizing Maps by Xabier Pérez-Couto, Lara Pallas-Quintela, Minia Manteiga, Eva Villaver, Carlos Dafonte

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PhoneProtector: Protecting User Privacy on the Android-Based Mobile Platform by Weizhe Zhang, Hui He, Qizhen Zhang, Tai-hoon Kim

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Quantitative Analysis of Conjunctival and Retinal Vessels in Fabry Disease by Andrea Sodi, Chiara Lenzetti, Daniela Bacherini, Lucia Finocchio, Tommaso Verdina, Isabella Borg, Francesca Cipollini, Fatema Ullah Patwary, Ilaria Tanini, Claudia Zoppetti, Stanislao Rizzo, Gianni Virgili

“…Fabry Disease (FD) is a rare X-linked lysosomal storage disorder characterized by systemic and ocular involvement. It has been described an increasing in retinal and conjunctival vessel tortuosity and this feature represents an important marker for the disease. …”
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IBERBIRDS: A dataset of flying bird species present in the Iberian PeninsulaZenodo by Paula Rodríguez, Rubén Parte, Guillermo A. González, Alejandra Gacho, Darío Santos, Rubén Usamentiaga, Oscar D. Pedrayes

“…By addressing this gap, this dataset serves as a comprehensive benchmark for avian studies, fostering advancements in various applications such as conservation initiatives, environmental impact assessments, biodiversity preservation strategies, real-time tracking systems, and video-based analysis. Additionally, IBERBIRDS constitutes a resource for computer vision applications, supporting educational programs tailored to ornithologists and birdwatching communities. …”
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Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach by Artur Krolik, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, Izabela Rojek

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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The framework’s validations and efficiency are evaluated using established techniques such as classic computed ICA and DICA as standard model scenarios. …”
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