Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach by Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul

“…The tags and descriptions offer network security professionals a tool to comprehend suspicious packets with an unfamiliar or potentially malicious signature, assess their nature, and help make informed decisions promptly. …”
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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

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Utility of [18F]FDG PET/CT in sarcoidosis management: A retrospective case series by Mourad Zekri, Majdouline Bel Lakhdar, Dounia Alami, Soumia Kriouile, Leila Achachi, Abdellah Achir, Hicham Harmouche, Ayat Mouaden, Hasnae Guerrouj, Imad Ghfir

“…CONCLUSIONS: Providing a complete functional map of the extent of inflammatory active disease, [18F]FDG PET/CT proves to be particularly useful in the management of sarcoidosis patients, by explaining persistent disabling symptoms, revealing suitable sites for biopsy, guiding therapeutic decisions and assessing treatment response.…”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…The use of deep learning approaches in finance extends beyond traditional prediction tasks, providing new insights for automated trading systems and risk assessment tools. Artificial neural networks and deep learning enhance modeling capabilities by improving accuracy and adaptability, thereby aiding decision-making within dynamic financial contexts. …”
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Forest HyperSoft Sets for Quality Measurement of Preschool Education in the New Era Utilizing MCDM Approach and Data Analytics by Yanzi Zhang, Leqiang Zou

“…By employing multi-criteria decision-making (MCDM) methodologies, we propose a MCDM methodology with the Entropy method to compute the criteria weights and the TOPSIS method to rank the alternatives. …”
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A Model for Organizational Preparedness of SMEs During COVID-19 Pandemic in Kigezi Sub-region in South Western Uganda. by Tamwesigire, Caleb, Nafiu, Lukman Abiodun

“…The study recommends that SME owners/managers should focus on improving their firms’ features; perfect the way they make decision by providing a critical dynamic resilience strategy framework to manage their SMEs during the crisis period. …”
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Analysis of Flow-induced Vibration Characteristics of Fuel Rods Using POD and DMD Methods by MIN Guangyun1, JIANG Naibin1, 2

“…This finding underscores the importance of selecting appropriate methodologies based on specific objectives and computational efficiency. Furthermore, the results indicate that the DMD method excels not only in efficiently reconstructing the vibration responses of fuel rods but also offers the unique capability to assess the stability of each DMD mode. …”
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Application of MCDM for Estimating Student Performance in University English Translation Courses under IndetermSoft Set by Qin Xu

“…The application of Multi-Criteria Decision-Making (MCDM) methodologies offers a structured and systematic approach to estimating student performance based on diverse and interdependent criteria. …”
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Navigating cognitive boundaries: the impact of CognifyNet AI-powered educational analytics on student improvement by Mrim M. Alnfiai, Faiz Abdullah Alotaibi, Mona Mohammed Alnahari, Nouf Abdullah Alsudairy, Asma Ibrahim Alharbi, Saad Alzahrani

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Evaluation of the Maternal Death Surveillance and Response System, Sierra Leone, 2019 by Kadijatu Nabie Kamara, Adel Hussein Elduma, Joseph Sam Kanu, James Sylvester Squire, Gebrekrstos Negash Gebru

“…Only 42% (15/36) reported using MDSR data for decision-making. All respondents viewed maternal death notification as their duty, with 33% holding regular MDSR meetings. …”
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Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Data were analysed based on imaging findings (eg, Hounsfield units), biochemical assessments (eg, dexamethasone suppression tests), and clinical decision-making processes. …”
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Revolutionizing Sports: The Role of Wearable Technology and AI in Training and Performance Analysis by Stanisław Dudek, Weronika Koziak, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra

“…AI-driven analytics, utilizing machine learning, deep learning, and computer vision, enhance performance assessment, injury prediction, and rehabilitation strategies by processing vast datasets to detect fatigue patterns, optimize recovery schedules, and refine tactical decision-making. …”
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Imaging-based evaluation of cervical muscle mass and 6-month survival in males with hypopharyngeal carcinoma by Jouni Laurén, Harri Keski-Säntti, Antti Mäkitie, Otso Arponen

“…Interpretation: C3-level muscle indexes, particularly the sternocleidomastoid muscle index, are a promising marker in the identification of patients at risk of early mortality and could add confidence in decision-making when choosing between active and palliative care. …”
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Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions by Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi

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Index pregnancy emotional fertility intention and its correlates in Ethiopia: evidence from a national women and newborns baseline survey by Solomon Abrha Damtew, Tariku Dejene Demissie, Assefa Seme, Niguse Tadele Atnafu, Fitsum Tariku Fantaye, Mahari Yihdego Gidey, Kelemua Mengesha Sene, Bezawork Ayele Kassa, Hailay Gebremichael Gebrekidan, Tariku Tesfaye Bekuma, Aynaw Amogne, Solomon Shiferaw

“…Besides, intentions to conceive and emotional fertility intention on pregnancy are the integral parts of women reproductive health (RH) right and can be considered as women decision-making ability over their fertility. Moreover, in low and middle-income countries including Ethiopia where the sole male´s dominance is culturally accepted and socially constructed, males take the lead in each decision making process including household-level decision, determining the family´s fertility and reproductive health service use. …”
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Hybrid SuperHyperSoft Model for Evaluation of Comprehensive Transportation Efficiency: Analysis and Results by Zigeng Wen, Jie Liu, Jianchang Huang

“…We evaluate the transportation efficiency using the decision making model based on a set of criteria and alternatives. …”
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Multisensor Remote Sensing and AI-Driven Analysis for Coastal and Urban Resilience Classification by Sumei Ren, Bushra Ghaffar, Muhammad Mubbin, Muhammad Haseeb, Zainab Tahir, Sher Shah Hassan, Dmitry E. Kucher, Olga D. Kucher, M. Abdullah-Al-Wadud

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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

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Intravascular ultrasound evaluation of pulmonary hypertension in high-altitude patients with ventricular septal defect: a case report by Yuanguo Chen, Jing Li, Qi Qiao, Yan Zhou, Haibo Zhang

“…Intravascular ultrasound provided unique real-time insight into vascular remodeling that critically influenced clinical decision-making. It may serve as a valuable adjunct to standard diagnostics in high-risk or borderline operability cases, particularly in settings where histological evaluation is unfeasible. …”
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Comparison of Hemorrhage on CT Versus MRI After Thrombectomy: The HECATE Study by Amie W. Hsia, Lawrence L. Latour, Sana Somani, Carolyn A. Lomahan, Yongwoo Kim, John K. Lynch, Marie Luby

“…Background The characterization of hemorrhage following acute stroke intervention has largely been computed tomography (CT) based. We sought to compare magnetic resonance imaging‐ (MRI‐) and CT‐based scoring of hemorrhage after acute endovascular therapy (EVT) applying the Heidelberg Bleeding Classification (HBC) to assess intermodal agreement and quantify interrater agreement. …”
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