A MultiNeutrosophic Offset Model for Clustering and Optimizing College Students' Mental Health Literacy in Interdisciplinary Contexts by Yan Li

“…This demonstrates that the MNOS framework is effective, flexible, and scalable for improving mental health education in diverse student populations. …”
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Optimized hybrid SVM-RF multi-biometric framework for enhanced authentication using fingerprint, iris, and face recognition by Sonal, Ajit Singh, Chander Kant

“…Additionally, integrating feature-level fusion and utilizing methods such as Gabor filters for feature extraction enhances overall performance of the model. The system demonstrates superior accuracy and reliability, making it suitable for real-world applications requiring secure and dependable identification solutions.…”
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Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

“…ChatGPT's use of natural language processing enables it to analyze complex medical data, aiding in early cancer detection and personalized treatment planning based on evidence-based guidelines. …”
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Radiologic text correction for better machine understanding by András Kicsi, Klaudia Szabó Ledenyi, László Vidács

“…This study introduces a method for the automatic correction of these misspellings, utilizing the Hunspell software and field‐specific dictionaries. This approach, enhanced by linguistic analysis and statistical data, improves information retrieval, as demonstrated in machine‐learning‐based classification and rule‐based identification tasks. …”
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Enhancing Sports Team Management Through Machine Learning by Ling Zhang, Yifan An

“…This essay presents a descriptive analysis of player performance in football matches. …”
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Review of Social Media Sentiment and Contextual Bandit Models in Stock Market Investment by Miao Ruicheng

“…By leveraging social media sentiment, contextual bandit models balance exploration and exploitation to adjust investment portfolios dynamically. The review also addresses key challenges, such as handling noise and non-stationarity in sentiment data, and discusses how these methods can improve decision-making in uncertain market environments, ultimately helping investors maximize returns and minimize risks.…”
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Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…Digital financial transactions have surged dramatically, making efficient, secure operations and data-driven decision-making more critical than ever. …”
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Speech Emotion Recognition under White Noise by Chengwei HUANG, Guoming CHEN, Hua YU, Yongqiang BAO, Li ZHAO

“…Regarding the emotion class model, the nine emotion classes are classified. Considering the dimension space model, the arousal dimension and the valence dimension are classified into positive regions or negative regions. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…The results lay the groundwork for developing nano-biosensors to diagnose, treat, and manage cardiovascular disease. …”
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Advancing Stability in Robot Manipulators: A Review of Recent Progress and Parameters by Shabnom Mustary, Mohammod Abul Kashem, Jannatul Mawya Sony, Nayem Hossain, Mohammad Asaduzzaman Chowdhury

“…Issues around calibration and optimizing manipulator performance (material properties, mass distribution, and friction effects) still exist. We will head toward compliant materials and anthropomorphic dexterity of future notions, which afford human‐like impedance as well as advanced sensory actuation devices providing model‐based perception coupled with cognitive deduction efforts to truly fulfill a much‐desired dream: the intuitive cooperation between humans and robots.…”
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Know your competitor! Analyzing and predicting the location of competing stores: The case study of Valora at Swiss railway stations by Thomas Wieland

“…Possible location factors for the two store types are derived from the literature. Publicly available data from the SBB (Schweizerische Bundesbahnen) serve as the basis of the analysis. …”
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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

“…While both algorithms have potential as clinical decision support, future research can test deep learning techniques and larger datasets to improve the accuracy and reliability of the model.…”
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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

“…To mitigate these issues, various interventions are discussed, including improving data quality, diversifying datasets and annotator pools, integrating fairness-centric algorithmic approaches, and establishing robust policy frameworks at corporate, national, and international levels. …”
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A Complex Clinical Situation in Polycystic Ovary Syndrome: HAIR-AN Syndrome ‘‘Case Report’’ by Ramin Alizadeh Gheshlagh, Senay Topsakal

“…She was advised to lose weight and prescribed metformin but did not adhere to the treatment. Four years later, she returned with further weight gain and hirsutism and was diagnosed with androgenetic alopecia. …”
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Passive localization based on radio tomography images with CNN model utilizing WIFI RSSI by Muhammad Jabbar, Umar Shoaib

“…Because there are flaws in the RSSI data that models might exploit, previous problems with RTI sparked innovation and resulted in the development of more complex systems, such as a passive localization system that leverages deep learning. …”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…AI aids in designing custom-fit crowns bridges and dentures improving clinical outcomes and reducing chairside time. …”
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Effect of immunization registry-based provider reminder to initiate HPV vaccination at age 9, Washington state by Trevor Christensen, Sherri Zorn, Kathy Bay, Katherine Treend, Chrystal Averette, Nicole Rhodes

“…The WAIIS forecast update doubled the weekly rate of HPV initiation among 9-year-olds in Washington state, although the weekly count of initiation at 9 remains far lower than initiations at 11. …”
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Using actigraphy to assess sleep characteristics by G. A. Trusov, A. V. Korobeinikova, L. V. Getmantseva, S. Yu. Bakoev, A. N. Lomov, A. A. Keskinov, V. S. Yudin

“…Research points to the importance of circadian rhythms for health; their disruptions are associated with various diseases. This has led to the development of circadian medicine, which focuses on using knowledge of physiological rhythms to optimize treatment and  diagnostic methods. …”
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A Comparative Study in Fuzzy Control Systems for Cruise Control Vehicles by Adnan Shaout, Malek I El Amr

“…However, these systems are very complex and require an accurate model, which is difficult to achieve due to complex and variable road conditions. …”
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Evidential Reasoning Approach for Predicting Popularity of Instagram Posts by L. Rivadeneira, I. Loor

“…MAKER’s performance is compared with decision tree (DT), support vector machine (SVM), and k-nearest neighbours (KNN) algorithms. …”
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