Introduction to statistical simulations in health research by Matthias Briel, Ewout Steyerberg, Pamela Shaw, Tim P Morris, Harald Binder, Michal Abrahamowicz, Anne-Laure Boulesteix, Rolf HH Groenwold, Roman Hornung, Jörg Rahnenführer, Willi Sauerbrei, Victor Kipnis, Jessica Myers Franklin, Ingeborg Waernbaum

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DeepSARFlood: Rapid and automated SAR-based flood inundation mapping using vision transformer-based deep ensembles with uncertainty estimates by Nirdesh Kumar Sharma, Manabendra Saharia

“…With its high accuracy, processing speed, and ability to estimate uncertainty, DeepSARFlood is optimized for real-time deployment, processing a 1° × 1° (12,100 km2) area in under 40 s, and will complement upcoming SAR missions like NISAR and Sentinel 1-C for flood mapping.…”
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Exploring the relationship between mean performance and within-person variability on smartphone-based cognitive testing in adults across the lifespan by Laura M. Campbell, Andrea M. Weinstein, Ashley Henneghan, Emily W. Paolillo, Robert Ackerman, Jessica Bomyea, Colin A. Depp, Philip D. Harvey, Amy E. Pinkham, Elizabeth W. Twamley, Raeanne C. Moore

“…Broader and more diverse data collection methods like EMCT can provide valuable insights into cognitive functioning beyond traditional mean-based measures.…”
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Computing Continuum Simulator: A comprehensive framework for continuum architecture evaluation by Pablo Rodríguez, Sergio Laso, Javier Berrocal, Pablo Fernández, Antonio Ruiz-Cortés, Juan Manuel Murillo

“…Unlike traditional cloud models, Computing Continuum integrates resources across edge, fog, and cloud layers, bringing data processing closer to its source. It is crucial in fields like healthcare, industry, and agriculture, where strict quality requirements have significant economic and social impacts. …”
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An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case by Stefano Franceschini, Maria Maddalena Autorino, Michele Ambrosanio, Vito Pascazio, Fabio Baselice

“…From this spectrum, various characteristics of the hand movement can be extracted through appropriate processing techniques. Specifically, by performing time–frequency analysis and applying specialized data processing, tapping rates and finger displacements can be estimated. …”
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Are baboons learning "orthographic" representations? Probably not. by Maja Linke, Franziska Bröker, Michael Ramscar, Harald Baayen

“…Rather, they make optimal use of low-level information obtained through the massively parallel processing of gradient orientation features. Accordingly, we suggest that reading in humans first involves initially learning a high-level system building on letter representations acquired from explicit instruction in literacy, which is then integrated into a conventionalized oral communication system, and that like the latter, fluent reading involves the massively parallel processing of the low-level features encoding semantic contrasts.…”
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Geostatistical Vegetation Filtering for Rapid UAV-RGB Mapping of Sudden Geomorphological Events in the Mediterranean Areas by María Teresa González-Moreno, Jesús Rodrigo-Comino

“…However, the use of LiDAR (Light Detection and Ranging) or TLS (Terrestrial Lasser Scanner) may not be affordable for many researchers because of the elevated costs and difficulties for cloud processing to present a valuable option for rapid landscape assessment following extreme events like Mediterranean storms. …”
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Detection of Weak Radar Return Signals Based on Pseudo-Time Domain Algorithm by Kaili Wang, Kai Yuan, Bo Bai, Rongxin Tang

“…Satellite-based radar systems are further constrained by processing capabilities and limitations in data transmission bandwidth and communication time windows. …”
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Unlocking Movement: How Wearables Transform Biomechanical Assessment and Rehabilitation by Tahir Masood

“…The development of wearable technologies, like those monitoring physical activity or individual body segment motion, has been driven by the incorporation of sensing, processing, storage, and communication features. …”
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Effect of water inflows on the strength characteristics of the Lovozero rare-metal deposit rocks by Anatoly I. Kalashnik

“…Statistical processing of the data on water volumes collected by the mine over the latest 4 years was performed, with assessment of their changes during a calendar year. …”
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Semantic Edge Collapse: A Mesh Edge Collapse Algorithm preserving per Face Semantic Information by G. Grzeczkowicz, G. Grzeczkowicz, B. Vallet

“…Recent advancements in 3D data acquisition and processing have enabled high-fidelity urban modeling. …”
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Integrating Machine Learning and IoT for Effective Plant Disease Management by Bhoi Manjulata, Dubey Ahilya

“…Large datasets are handled and powerful computations are made with cloud computing and there are scalable data processing and storage solutions provided. Using the proposed system, it was demonstrated that predictions of diseases like powdery mildew and blight are improved compared to traditional methods both in terms of accuracy as well as in the speed of response. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…But it can be quite difficult because most medical data are typically unbalanced and incomplete. This paper aims to address the missing data using advanced imputation algorithm like single center imputation from multiple chained equation (SICE) and synthetic minority oversampling technique with edited nearest neighbor (SMOTE-ENN) method is used to solve the imbalanced data problem. …”
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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

“…Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science models that span analytics, optimization, and algorithmic intelligence. …”
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VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…Additionally, KAN is benchmarked against other methods like traditional Shallow Neural Networks (SNNs). …”
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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…Given its speed and accuracy, this algorithm can be applied to real-time data processing in remote sensing satellites. This advanced methodology will greatly benefit the agriculture and farming sectors by providing precise SOC predictions.…”
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Backup Automation Using Power Automate for Malaysian Vaccination Centres by Raadhesh Kannan, Chin Ji Jian

“…No system is fully secure and reliable, thus there needs to be a backup if anything happens to the records like data loss or tampering of records. Although the information flow is simplified using the MySejahtera app and scanning of QR codes, there is no contingency prepared should the system go offline at PPVs. …”
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Forming the Foundations of the “Digital Silk Road” by Yiju Liu, E. F. Avdokushin

“…Electronic commerce, as well as several new technologies used on the routes of the new silk road like the Internet, artificial intelligence, big data, cloud computing, blockchain, are becoming a basis of new Silk Road. …”
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A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…The unique characteristics of this data, such as the length of text, spelling mistakes, and abbreviations, necessitate a non-conventional method and additional stages for sentiment analysis in such an environment. …”
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Deep Learning Techniques for Fault Diagnosis in Interconnected Systems: A Comprehensive Review and Future Directions by Nawel Said, Majdi Mansouri, Rami Al Hmouz, Atef Khedher

“…Advanced learning methods like deep learning, transfer learning, and hybrid models are tailored to processing and aggregating such disparate streams of data, thereby leading to higher diagnostic accuracy. …”
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