Crypto Deep Ring Topology Firewall in Sensitive Data Transmission and Retrieval in Cloud by Vikas K. Soman, V. Natarajan

“…The data transmission and data retrieval process from the cloud is a critical issue because of cyber-attacks. …”
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Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

“…Furthermore, the set of permissible models includes only regressive-like ones to clarify the data’s contribution to map construction and can be applied to a wide range of datasets. …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…Accurate parameter estimation is a critical component of effective process control using g charts. While traditional methods like maximum likelihood and Bayesian estimation are widely used, th ey may exhibit limitations in small sample size scenarios, leading to inaccurate parameter estimates. …”
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Generative AI enables medical image segmentation in ultra low-data regimes by Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie

“…Abstract Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatment planning. While deep learning automates this task effectively, it struggles in ultra low-data regimes for the scarcity of annotated segmentation masks. …”
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A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems by Jiangjiang Zhang, Chenglong Cao, Tongchao Nan, Lei Ju, Hongxiang Zhou, Lingzao Zeng

“…Abstract In hydrological research, data assimilation (DA) is widely used to fuse the information contained in process‐based models and observational data to reduce simulation uncertainty. …”
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Enhancing Lesion Segmentation in Ultrasound Images: The Impact of Targeted Data Augmentation Strategies by Xu Wang, Patrice Monkam, Bonan Zhao, Shouliang Qi, He Ma, Long Huang, Wei Qian

“…However, the successful implementation of these approaches is conditioned by large-scale and diverse annotated datasets whose obtention is tedious and expertise demanding. Although methods like generative adversarial networks (GANs) can help address sample scarcity, they are often associated with complex training processes and high computational demands, which can limit their practicality and feasibility, especially in resource-constrained scenarios. …”
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Offline System for 2D Indoor Navigation Utilizing Advanced Data Structures by Jorge Luis Veloz, Leo Sebastián Intriago, Jean Carlos Palma, Andrea Katherine Alcívar-Cedeño, Álvaro Antón-Sacho, Pablo Fernández-Arias, Edwan Anderson Ariza, Diego Vergara

“…Utilizing a structured development process, the proposed solution integrates lightweight data structures and modular components to minimize computational load and enhance scalability. …”
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The Role of Big Data Analytics in Revolutionizing Diabetes Management and Healthcare Decision-Making by Muhammad Nauman, Ahmad S. Almadhor, Mohammed Albekairi, Ali R. Ansari, Muhammad A. B. Fayyaz, Raheel Nawaz

“…There is a pressing need within the research community to analyze these large volumes of Big Data. To address this challenge, Big Data Analytics (BDA), the systematic process of examining large and complex datasets to uncover hidden patterns, correlations, and insights for informed decision-making, has emerged. …”
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Link stability - based optimal routing path for efficient data communication in MANET by Renisha Pulinchuvallil Salim, Rajesh Ramachandran

“…Despite the variety of techniques available for optimizing routing in MANETs, persistent issues like packet loss, routing overhead, and End-to-End Delay (EED) remain prevalent. …”
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Contingency by Ami Clarke

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Community nursing on subjective well-being of the elderly: evidence from CLASS data by Fulei Jin, Tao Chen

“…Methods This study utilized the micro-panel data from the China Longitudinal Aging Social Survey (CLASS) in 2018 and 2020, covering a sample of 8,179 elderly people aged over 60 in China. …”
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The olfactory pathway in the peracarid crustacean Parhyale hawaiensis (Malacostraca): new insights into the evolution of olfactory processing in Pancrustacea by Katja Kümmerlen, Rabea Schlüter, Steffen Harzsch

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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

“…However, its modeling process relies on the assumption that data follows a Gaussian distribution. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…Results The Data Artifacts Glossary adopts a collaborative approach modeled on successful open-source projects like Linux and Python. …”
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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

“…This review comprehensively examines the evolving techniques in sentiment analysis, detailing foundational processes such as data gathering and feature extraction. …”
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The Plantlia: free android app for measurement of foliar area and color with automated scaling by Ovidio Valerio-Cubillo

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The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data by Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

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Insights into Galaxy Evolution from Interpretable Sparse Feature Networks by John F. Wu

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Trimester Specific Effect of Pregnancy on Maternal Cognitive Function using Critical Flicker Fusion Frequency: A Cross-sectional Study by J Roshni, S Anu, M Ramji

“…This threshold reflects neural processing and cortical arousal, making it useful for diagnosing conditions like Alzheimer’s and schizophrenia. …”
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Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

“…We analyzed the acoustic signal data by assuming that the electrical output voltage of the piezoelectric sensor completely coincides with the frequency of the acoustic signals. …”
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