Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

“…We will open-source our code at https://github.com/AI-Tech-Research-Lab/AsquaredM .…”
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Machine learning predictive performance in road accident severity: A case study from Thailand by Ittirit Mohamad, Sajjakaj JomnonKwao, Vatanavongs Ratanavaraha

“…This study evaluates the predictive performance of multiple supervised machine learning algorithms in classifying accident severity, addressing the gap in prior research that lacks a comparative analysis of multiple models trained on large-scale crash data. …”
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Artificial intelligence and chordoma: A scoping review of the current landscape and future directions by Eddie Guo, Rafael D. Sanguinetti, Lyndon Boone, Jiawen Deng, Husain Shakil, Mehul Gupta

“…The studies addressed diverse clinical tasks: 7 focused on differentiating chordomas from other tumours or classifying subtypes, 6 on survival prediction, 2 on tumour segmentation, 2 on outcome prediction, and 4 miscellaneous tasks. Common algorithms used included convolutional neural networks, support vector machines, random forests, and clustering algorithms. …”
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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

“…Additionally, the unique characteristics of light field images add complexity to the super-resolution task. Future research should focus on enhancing the robustness, generalization, and capability of algorithms to handle complex scenarios. …”
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POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN COMPUTER-AIDED DESIGN OF STAINED GLASS ART by Andrii Petrushevskyi, Yevhen Antonovych

“…The scientificance novelty The analysis of artificial intelligence capabilities in the form of automated algorithms for the development and optimization of stained glass design is a new research direction. …”
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New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…We report the findings of major randomized controlled trials, cohort studies, and research on AI algorithms that use multi-modal imaging (e.g., CT and PET scans) and liquid biopsy to identify early molecular alterations. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

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Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodsinskyi

“…The development of quantum computing and artificial intelligence necessitates the development of hybrid quantum-classical algorithms for solving complex computational problems. …”
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An improved performance model for artificial intelligence-based diabetes prediction by Ugwu Hillary Okwudili, Oparaku Ogbonna Ukachukwu, V. C. Chijindu, Michael Okechukwu Ezea, Buhari Ishaq

“…The choice of choosing algorithms such as k-nearest neighbor (KNN), random forest (RF), AdaBoost (AB), and extreme gradient boost (XB) was meticulously informed by their distinct strengths and limitations, which are critical for the efficacy of this research study. …”
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工程机械变速箱齿轮布局优化 by 李华, 姚进, 赵世佳, 吴水深

“…Taking coaxial power shift gearbox of construction machinery as research object,the layout topology of gearbox is analyzed.Using planar multi-bar mechanism to express its topological characteristics,its topology map is painted.Based on this topology map,an optimized mathematical model of gears layout is established,the smallest end-face area is the objective function.An example is given at last.Genetic algorithms were used to solve this optimization example.Optimization calculation results show that the methods can effectively reduce the end-face area of transmission box.…”
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Acoustic modelling of machines by Z. ENGEL, L. STRYCZNIEWICZ

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ABCD microstates: a new word in EEG mathematical analysis by A. A. Ivanov

“…With the advent of computer electroencephalographs, mathematical methods for EEG processing began to actively develop, some of which have found their application in current clinical practice, others – in brain-computer systems, some algorithms are used only in scientific research, whereas the remaining have shown inefficiency and become undemanded. …”
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Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery by Xingyu Liu, Yancang Wang, Xiaohe Gu, Mengjie Li, Wenxu Lv, Xuqing Li, Ruiyin Tang, Guangxin Chen, Baoyuan Zhang, Shuaifei Liu, Fajian Zong, Yongkun Ji, Xiaolong Yu, Tianen Chen

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A brief survey of line search methods for optimization problems by Audu Umar Omesa, Sulaiman Mohammed Ibrahim, Rabiu Bashir Yunus, Issam A.R. Moghrabi, Muhammad Y. Waziri, Aceng Sambas

“…An important component that ensures the success of various iterative algorithms is the search direction (dk) while the step-size (αk) ensures global convergence in different schemes. …”
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A Synthetic Data Generation Approach With Dynamic Camera Poses for Long-Range Object Detection in AI Applications by Misbah Bibi, Anam Nawaz Khan, Muhammad Faseeh, Qazi Waqas Khan, Rashid Ahmad, do-Hyeun Kim

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Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

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Compute Nano topology by used the programing language python by Nawfal N. Abed, Ali A. Shihab

“… The research aims to Compute the Nano topologies of any set, consisting of five or less elements, through the Python programming language, with finding the necessary algorithms for the solution steps, We explain the mechanism of action: In first we will find the equivalence relations on set, and then we must compute the nano topology, and end know who set was semi-open, alpha-open,beta-open Regular open ,pre open and gamma-open set . …”
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RMPJ: An ImageJ plugin for morphological information processing in biomedical images. by Yoshitaka Kimori

“…This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. …”
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Evaluating machine and deep learning techniques in predicting blood sugar levels within the E-health domain by Beniamino Di Martino, Antonio Esposito, Gennaro Junior Pezzullo, Tien-Hsiung Weng

“…By analysing these algorithms, the research uncovers their distinct behaviours and highlights their dissimilarities, even when their analytical underpinnings may appear similar.…”
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A Survey on Anti-Money Laundering Techniques in Blockchain Systems by Leyuan Liu, Xiangye Li, Tian Lan, Yakun Cheng, Wei Chen, Zhixin Li, Sheng Cao, Weili Han, Xiaosong Zhang, Hongfeng Chai

“…Furthermore, this study discusses the practical applications of these techniques and reviews commonly used datasets that support AML research. Looking ahead, the advancement of AML technologies in blockchain systems necessitates progress in several critical areas: the construction of AML datasets capable of addressing data imbalance and annotation uncertainty, development of trusted AML algorithms, design of detection mechanisms for covert financial activities, and formulation of privacy-preserving yet regulation-compliant AML solutions. …”
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