Exploring Data Preparation Strategies: A Comparative Analysis of Vision Transformer and ConvNext Architectures in Breast Cancer Histopathology Classification by Kaczmarek Mikołaj, Kowal Marek, Korbicz Józef

“…Optimizing both architectural design and data handling is essential to enhancing the reliability of automated histopathological analysis and supporting clinical decision-making.…”
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LAW DISTRIBUTION APPROXIMATION ON EIGENSTATE ERRORS OF ADS-B BASED ON CUMULANT ANALYSIS OF ADS-B-RAD SYSTEM DATA DISPARITY by V. L. Kuznetsov, A. A. Tarakanov

“…The method is based upon the mistie analysis of this system and a more robust design data. …”
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Improving the Accuracy of Bone-Scintigraphy Imaging Analysis Using the Skeletal Count Index: A Study Based on Human Trial Data by Ryosuke Miki, Tatsuya Tsuchitani, Yoshiyuki Takahashi, Kazuhiro Kitajima, Yasuyuki Takahashi

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Short Term Adverse Events Following Ankle Arthroplasty and Ankle Arthrodesis: A Matched Analysis of Recent Nationally-Representative Data by Haleigh Hopper BS, Chase Nelson BS, James Satalich MD, Albert T. Anastasio MD, Conor N. O'Neill MD, Tejas Patel MD, Andrew Hanselman MD, Karl M. Schweitzer MD, FAAOS, Samuel B. Adams MD

“…The purpose of this study was to analyze data from the National Surgical Quality Improvement Project (NSQIP) to elucidate differences in outcomes between TAA and AA. …”
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

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RETROSPECTIVE EFFICACY ANALYSIS OF ACUTE VASOREACTIVE TEST AS A CRITERIA FOR SURGERY IN CHILDREN WITH INBORN LEFT-TO-RIGHT BLOOD SHUNTING AND PULMONARY ARTERIAL HYPERTENSION by A. Mullen, G. Butrous, K. Abzaliev

“…Retrospective analysis of the data of right heart chambers catheterization and echocardiographic study from 29 case histories of BS-PAH patients during 2012-2016. …”
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Estimation method of the cohesion degree for the users’ profiles of social network based on open data by Valentina A. Kataeva, Igor S. Pantyukhin, Igor V. Yurin

“…A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. …”
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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data by Juan Roberto Pereira Salcedo, Karla Melissa Ruiz Quezada, Edison Luis Cruz Navarrete, Pedro Manuel García Arias

“…The theoretical contribution to the academic literature expands notions of AI multi-criteria decision making process; the practical application lends itself to scalable possibilities within big data reliant cases, especially predictive sentiment analysis or resource allocation/optimization. …”
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Dynamic Maintenance Cost Optimization in Data Centers: An Availability-Based Approach for K-out-of-N Systems by Mostafa Fadaeefath Abadi, Mohammad Javad Bordbari, Fariborz Haghighat, Fuzhan Nasiri

“…Through simulations and a case study by utilizing variable failure rates and monthly maintenance costs, the model achieves a combined system availability of 99.991%, which exceeds the Tier 1 DC requirement of 99.671%. A sensitivity analysis, incorporating ±10% variations in Mean Time Between Failures (MTBF), Mean Time To Repair (MTTR), and maintenance costs, was conducted to demonstrate the model’s robustness and adaptability across diverse operational conditions. …”
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Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli by Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro

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Enabling scalable single-cell transcriptomic analysis through distributed computing with Apache spark by Asif Adil, Namrata Bhattacharya, Aadam, Naveed Jeelani Khan, Mohammed Asger

“…The tool incorporates six key operations for dealing with single-cell Big Data, including data reshaping, data preprocessing, cell/gene filtering, data normalization, dimensionality reduction, and clustering. …”
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Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

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Techno-economic design and reliability assessment of a solar PV-battery-based green data center by Alok Kumar Shrivastav, Dipak Kumar Dash, Saumen Dhara, Pritish Ghosh

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Unsupervised Classification and Remaining Useful Life Prediction for Turbofan Engines Using Autoencoders and Gaussian Mixture Models: A Comprehensive Framework for Predictive Maint... by Tomasz Lodygowski, Slawomir Szrama

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Case studies and operation features of transient multiphase flow in low-flow wells with multistage fracturing and extended horizontal wellbore operated with ESP in PSA mode by T.S. Yushchenko, E.V. Demin, V.A. Ivanov, R.A. Khabibullin, A.V. Volkov

“…Difficulties that may arise during well operation were demonstrated through the analysis of field data and numerical modeling results. …”
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Prioritising Street Shade Intensification to Support Pedestrian Accessibility to Public Transport: A Data-driven Approach by Or Aleksandrowicz, Daniel Rosenberg, David Pearlmutter

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An Evaluation of Green Hotels in Singapore, Sentosa Island: A Big Data Study Through Online Review by Ummi Aliyah, Angellie Williady, Hak-Seon Kim

“…The purpose of this study is to evaluate green hotels in Sentosa Island, Singapore, with big data analysis utilizing online reviews regarding environmental sustainability practices. …”
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Open data for modelling the impacts of electric vehicles on UK distribution networks: Opportunities for a digital spine by Isaac Flower, Furong Li, Julian Padget

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Data-Driven Learning Models for Internet of Things Security: Emerging Trends, Applications, Challenges and Future Directions by Oyeniyi Akeem Alimi

“…Hence, in recent literature studies, various single and ensemble AI subset models, such as deep learning and reinforcement learning models, have been proposed, resulting in effective decision-making for the secured operation of IoT networks. Considering the growth trends, this study presents a critical review of recently published articles whereby learning models were proposed for IoT security analysis. …”
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A case study of fractional-order varicella virus model to nonlinear dynamics strategy for control and prevalence by Nisar Kottakkaran Sooppy, Farman Muhammad, Ghannam Manal, Hincal Evren, Sambas Aceng

“…Finally, using a two-step Newton polynomial technique, numerical simulations of the effects of various parameters on infection are used to explore the impact of the fractional operator on different conditions and population data. …”
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