Comparison of MEMS-based photoacoustic microscopy in biomedical imaging by Pasin Suttikittipong, Parawee Tangkiatphaibun, Nicholas Piyawattanametha, Wibool Piyawattanametha

“…Using a Micro-Electro-Mechanical Systems or Microelectromechanical Systems (MEMS), various PAM optimizing techniques are covered, ranging from design, materials, and algorithms. Discussions also include opinions on future MEMS-based PAM technology development tendencies.…”
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A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders by Cosmina-Mihaela Rosca, Adrian Stancu

“…Surveys were also conducted to identify the diseases most frequently studied through ML algorithms. …”
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Recent Trends in the Quality Module of Sustainable Water Management Models-A Systematic Review by C. Subashini, Suseela Sellamuthu

“…Many studies focus on hybrid algorithms for analyzing water resource management. …”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…We aimed to describe models that are not only academically and preclinically relevant, but also applicable to clinical settings.…”
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Unified Mathematical Framework for Slicing and Symmetry Reduction over Event Structures by Xinyan Gao, Yingcai Ding, Wenbo Liu, Kaidi Zheng, Siyu Huang, Ning Zhou, Dakui Li

“…In this paper, we mainly address theoretical and algorithmic aspects for nonclassical slicing and symmetry reduction over prime event structures. …”
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Issues of diagnosis and treatment of metastases in the spine and long bones by A. V. Bukharov, D. A. Erin, V. A. Derzhavin, A. V. Yadrina

“…The review also evaluated various prognostic factors that can be used to determine the patient’s life expectancy.Results. …”
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Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions by Jerlyn Q.H. Ho, Andree Hartanto, Andrew Koh, Nadyanna M. Majeed

“…The growing adoption of Artificial Intelligence (AI) in various sectors has introduced significant benefits, but also raised concerns over biases, particularly in relation to gender. …”
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Integer Programming, low complexity Heuristics, and Gaussian instances for the Internet Shopping Optimization Problem with multiple item Units (ISHOP-U) by Fernando Ornelas, Alejandro H. García, Alejandro Santiago, Salvador Ibarra Martínez, José Antonio Castán Rocha, Fausto Balderas, Julio Laria-Menchaca, Mayra Guadalupe Treviño-Berrones

“…We compute the optimal values of the previous uniform and new Gaussian instances using an Integer Programming formulation in CPLEX. In addition, we also propose two new low-complexity heuristics, the first not metaheuristics approaches proposed for the ISHOP-U, which use a linear representation instead of the original matrix candidate solution, achieving better results than the previous Evolutionary Algorithms for the ISHOP-U from the state-of-the-art.…”
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Cinematic Rendered Computed Tomography Imaging Enhances 3D Visualization of Upper Extremity Arteriovenous Malformation by Balazs C. Lengyel, Alan B. Lumsden, Ponraj Chinnadurai

“…Inspired by the quality of computer-rendered images in the animated movie industry, cinematic rendering (CR) is a novel image visualization technique using proprietary rendering algorithms that simulate the propagation and interaction of light rays passing through 3-dimensional (3D) volumetric data, resulting in a photorealistic representation of bodily organs and vasculature.1,2 Due to its more realistic representative and intuitive format, it has become part of medical education, especially 3D anatomy teaching, patient education, and communication.3,4 It also plays an important role in the diagnostics and treatment planning for complex vascular pathologies, especially malformations.5 This short report highlights the additional diagnostic and clinical value of this image visualization technique by showing its value in treatment planning in a case of arteriovenous malformation (Figure 1).…”
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Audio technology for improving social interaction in extended reality by Joanna Luberadzka, Enric Gusó Muñoz, Enric Gusó Muñoz, Umut Sayin, Adan Garriga

“…We further explain the challenges of speech communication in XR, including noise and reverberation, and review sound processing methods to enhance the auditory experience. We also comment on the potential of using virtual reality as a tool for the development and evaluation of audio algorithms aimed at enhancing communication. …”
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Strength prominence index: a link prediction method in fuzzy social network by Sakshi Dev Pandey, Sovan Samanta, A. S. Ranadive, Leo Mrsic, Antonios Kalampakas, Tofigh Allahviranloo

“…A comparative study with existing methods is also presented, supported by relevant graphs and tables. …”
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Data-driven analysis of electrochemical impedance spectroscopy using the Loewner framework by Bansidhar Patel, Antonio Sorrentino, Tanja Vidakovic-Koch

“…Its robustness to noisy datasets, as well as its advantages over similar methods that employ inversion algorithms, are also discussed.…”
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On the Forward Scattering of Microwave Breast Imaging by Hoi-Shun Lui, Andreas Fhager, Mikael Persson

“…Efforts have mainly been focused on the development of the inverse scattering algorithms, experimental setup, antenna design and clinical trials. …”
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IT Tools Used to Reduce the VAT Loophole– JPK_VAT, STIR, Split Payment Mechanism. by Adam Żabka, Beata Hoza

“…It is a widespread phenomenon also in Poland. In order to reduce the so called tax loopholes or gaps it is necessary to implement changes in the legal system which will allow to conduct data analysis through information technologies using control algorithms. …”
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An Improved Substation Locating and Sizing Method Based on the Weighted Voronoi Diagram and the Transportation Model by Shiju Wang, Zhiying Lu, Shaoyun Ge, Chengshan Wang

“…The impact of geographical factors is also considered in this paper. Large amount of experiments show that the improved method can get more reasonable and more optimized planning result within shorter time than the original WVD and other algorithms.…”
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The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School by Muhammad Choerul Umam, Cicilia Dyah Sulistyaningrum I., Dydik Kurniawan, Priyono Tri Febrianto

“…The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. …”
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Inverse methods and integral-differential model demonstration for optimal mechanical operation of power plants – numerical graphical optimization for second generation of tribology... by Casesnoves Francisco

“…Stepping forward from a previous conference contribution, the article focuses on extension of inverse problem algorithms to integral-differential modelling and formal/strict demonstration of graphical-optimization method. …”
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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection by Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar, Irfanud Din, Mohamed Adel Serhani, Zouheir Trabelsi

“…The literature has employed numerous Machine Learning (ML) and Deep Learning (DL) algorithms to detect skin cancer. ML algorithms perform well for small datasets but cannot comprehend larger ones. …”
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Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…To mitigate these risks, the proposed system aims to implement robust fairness-aware assessment algorithms while also incorporating advanced encryption and privacy-preserving techniques. …”
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Maintenance techniques to increase solar energy production: A review by Fernando Martinez-Gil, Christopher Sansom, Aránzazu Fernández-García, Alfredo Alcayde-García, Francisco Manzano-Agugliaro

“…It is also emphasized the role of Unmanned Aerial Vehicles (UAVs) to capture images for fault detection and failure prediction, enhancing maintenance accuracy and minimizing downtime. …”
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