Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…One of the main issues with paragangliomas and pheochromocytomas is that these tumors have up to a 20% rate of metastatic disease, which cannot be reliably predicted. While machine learning models hold great promise for enhancing predictive accuracy, their often opaque nature limits trust and adoption in critical fields such as healthcare. …”
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Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes: A Hybrid Approach Using Clustering and Isolation Forest by Antonio Herreros-Martínez, Rafael Magdalena-Benedicto, Joan Vila-Francés, Antonio José Serrano-López, Sonia Pérez-Díaz, José Javier Martínez-Herráiz

“…A univariate analysis is performed using the z-Score index and the DBSCAN algorithm, while multivariate analysis employs k-Means clustering and Isolation Forest algorithms. …”
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Developing an AI-based application for caries index detection on intraoral photographs by Niha Adnan, Syed Muhammad Faizan Ahmed, Jai Kumar Das, Sehrish Aijaz, Rashna Hoshang Sukhia, Zahra Hoodbhoy, Fahad Umer

“…A YOLOv5s model was trained on this dataset and integrated into a smartphone application, while a Detection Transformer was also fine-tuned for comparative purposes. …”
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Robust screening of atrial fibrillation with distribution classification by Pierre-François Massiani, Lukas Haverbeck, Claas Thesing, Friedrich Solowjow, Marlo Verket, Matthias Daniel Zink, Katharina Schütt, Dirk Müller-Wieland, Nikolaus Marx, Sebastian Trimpe

“…This establishes our algorithm as a relevant candidate for screening campaigns.…”
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Molecular Barcoding Reveal the Existence of Mole Crabs Emerita emeritus in North Coast of Central Java by Dian Bhagawati, Elly Tuti Winarni, Agus Nuryanto

“…A phylogenetic tree had reconstructed in molecular evolution genetic analysis (MEGA) software based on neighbor-joining algorithm. Branching reliability was obtained from 1000 bootstraps replication while branching polarity was obtained from the out-group comparison. …”
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3D evolutionarily designed metamaterials for scattering maximization by Dmitry Dobrykh, Konstantin Grotov, Anna Mikhailovskaya, Dmytro Vovchuk, Vladyslav Tkach, Mykola Khobzei, Anton Kharchevskii, Aviel Glam, Pavel Ginzburg

“…The resonance cascading is engineered with the aid of multi-objective optimization, implemented on top of a genetic algorithm, operating in a large search space, encompassing over 100 independent variables. …”
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Dose enhancement effects of different-sized nanoparticles on tumors and surrounding tissues using Geant4 track structure simulation by Tuğrul Taylan

“…The nanoparticles can be localized within tumor tissues, providing enhanced protection to normal tissues during radiation therapy while achieving significant dose enhancement within tumors. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Compared to the alternative methods, for both the plant species, the MML method selects the simplest model while also having the overall best predictions.…”
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Tradeoff between compression ratio and decoding delay of distributed source coding for uplink transmissions in machine-type communication by Wen Wang, Jinkang Zhu, Sihai Zhang, Wuyang Zhou

“…The grid dividing algorithm clusters users based on their locations, while Weighted Pair Group Method with Arithmetic Mean and K-medoids cluster users using the correlation intensity between them. …”
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Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax by Dana Marsetiya Utama, Yolanda Dwi Asmara Putri, Shanty Kusuma Dewi

“…To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. …”
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A Rough Surface-Aided Non-Line-of-Sight Joint Sensing and Communication System for THz Band by Saira Rafique, Huseyin Arslan

“…Simulation results illustrate the impact of surface roughness, antenna array size, and specular point misalignment on target detection, while communication performance is assessed by analyzing the effects of surface roughness and antenna array size on channel capacity, highlighting significant performance gains for intermediate/medium RS.…”
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Forecasting outbound student mobility: A machine learning approach. by Stephanie Yang, Hsueh-Chih Chen, Wen-Ching Chen, Cheng-Hong Yang

“…<h4>Background</h4>A country's ability to become a prominent knowledge economy is tied closely to its ability to acquire skilled people who can compete internationally while resolving challenges of the future. To equip students with competence that can only by gained by being immersed in a foreign environment, outbound mobility is vital.…”
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MCRFS-Net: single image dehazing based on multi-scale contrastive regularization and frequency selection by Qin Qin, Lin Shui, Yanyan Zhang, Shaojing Song, Jinhua Jiang

“…However, addressing non-uniform haze in atmospheric scattering models remains a significant challenge. While some methods tackle image-level non-uniformity using multi-scale fusion mechanisms, others focus on feature-level non-uniformity with content-guided attention mechanisms. …”
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Performance Optimization of Synchronous Reluctance Motor using Adaptive MTPA Curve Fitting with Anti-Windup Current Control by Alex V, Rammohan A

“…This work presents the maximum torque per ampere-based control strategy for a synchronous reluctance motor using a curve fitting algorithm to approximate the current and torque trajectory in real time. …”
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Electric vehicle charging stations and the employed energy management schemes: a classification based comparative survey by Abdul Rauf Bhatti, Muhammad Tamoor, Rehan Liaqat, Akhtar Rasool, Zainal Salam, Ahmed Ali, Abdulkerim Sherefa

“…A comparative survey of different energy management algorithms is presented while highlighting the benefits and drawbacks of each algorithm. …”
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Characteristics of the level of athletes' sports preparedness in freestyle wrestling by Bakytbek Konakbayev, Raisa Bekembetova, Omirzhan Bekturganov, Mukhtar Yeskaliyev, Dinara Zhunisbek

“…The obtained information allowed to determine the level of preparedness of athletes in freestyle wrestling, as well as the readiness to conduct the next competitive bout Conclusions: Comparative analysis of competitive activity has shown that it is necessary to correct the algorithm of modes of training processes. When conducting training of low aerobic power to perform the necessary volume while observing the individual mode as for the level of lactate and heart rate. …”
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network by Can Liu, Peng He, Ru Qiao, Xiaoyan Yang, Changsong Ding, Fuyuan He

“…In this study, we employed the random walk with restart (RWR) algorithm on the LUAD protein-protein interaction (PPI) network to predict ferroptosis-related target genes. …”
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Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…For the reliability of the proposed algorithm, the mean absolute percentage error was used for error estimation detection. …”
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Vibration Suppression of the Vehicle Mechatronic ISD Suspension Using the Fractional-Order Biquadratic Electrical Network by Yujie Shen, Zhaowei Li, Xiang Tian, Kai Ji, Xiaofeng Yang

“…Then, a quarter dynamic model of the vehicle mechatronic ISD suspension is established, and the parameters of the fractional-order biquadratic transfer function and vehicle suspension are obtained by an NSGA-II multi-objective genetic algorithm. Moreover, the structure of the external circuit and the parameters of the electrical components are obtained by the fractional-order passive network synthesis theory. …”
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Joint Prediction of U.S. Rice Yields and Methane Emissions: A Machine Learning Approach by Jameson Augustin, Munisamy Gopinath, Berna Karali, Yuhan Rao

“…Despite the United States&#x2019;s major role as a rice exporter with significant economic and environmental impacts, most remote sensing and machine learning research on rice yield prediction has focused on Asian production regions. Moreover, while rice cultivation generates substantial methane emissions, few studies have explored the trade-offs between productivity and environmental impact. …”
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