Employing bibliometrics and natural language processing (NLP) to analyse real-world applications of adverse drug reaction by Viola Savy Dsouza, Lada Leyens, Angela Brand

“…Digital health innovations, particularly mobile and web-based ADR reporting applications, offer potential to enhance pharmacovigilance by improving data accuracy and patient-reported outcomes. …”
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Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning by Tingrui Zhang, Geyao Sun, Xueyu Cheng, Cheng Cao, Zhonghua Cai, Jin Zhou

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Twin Delayed DDPG (TD3)-Based Edge Server Selection for 5G-Enabled Industrial and C-ITS Applications by Malik Muhammad Saad, Muhammad Ali Jamshed, Abdulhameed Idris Adedamola, Ali Nauman, Dongkyun Kim

“…In the 3GPP-defined edge computing architecture, User Equipment (UE) interacts with the Edge Enabler Layer to request application services. The Edge Enabler Client (EEC) forwards these requests to the Edge Enabler Server (EES), which leverages the 3GPP core network for UE analytics, such as location and Quality-of-Service (QoS) requirements, to identify the optimal Edge Application Server (EAS). …”
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A Flexible probability model for reliability data: The extended half-normal distribution with further results by Eman Khorsheed, Hugo Salinas, Hassan Bakouch

“…The power of the distribution is demonstrated with real applications using two reliability data sets. The results reveal that the proposed distribution can produce a better fit than several other distributions. …”
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Time series data based AI operation and maintenance system of cloud network collaboration platform by Ruiying CHENG, Pan ZHANG, Yu XIAO, Yujie QIAO, Anyi ZHANG

“…The expansion of cloud computing in enterprise applications is not only the expansion of platform scale, but also the extension of platform applications.…”
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Addressing the dynamic nature of reference data: a new nucleotide database for robust metagenomic classification by Jose Manuel Martí, Car Reen Kok, James B. Thissen, Nisha J. Mulakken, Aram Avila-Herrera, Crystal J. Jaing, Jonathan E. Allen, Nicholas A. Be

“…These measures demonstrably reduce spurious classifications, as shown through our reanalysis of published metagenomic data where Plasmodium annotations were dramatically reduced using our decontaminated database, highlighting how database quality can significantly impact research conclusions. …”
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Supporting Efficient Family Joins for Big Data Tables via Multiple Freedom Family Index by Qiang Zhu, Chao Zhu

“…Family joins possess the closure property that is demanded by many big data applications. This work explores four types of family joins according to different types of freedom in prefix matching for join comparisons. …”
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VTGAN based proactive VM consolidation in cloud data centers using value and trend approaches by Aya I. Maiyza, Hanan A. Hassan, Walaa M. Sheta, Karim Banawan, Noha O. Korany

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Cross‐Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis by Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi

“…Through experiments, we demonstrate this workflow's effectiveness in broad applications to process and interpret geoscientific data of lunar images, seismic data, DAS arrays and so on. …”
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Delay and Lifetime Performance of Underwater Wireless Sensor Networks with Mobile Element Based Data Collection by Jalaja Janardanan Kartha, Lillykutty Jacob

“…The energy efficiency and network lifetime are more important than data collection latency for certain underwater applications. …”
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Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture by Minwoo Jung, Dae-Young Kim

“…This approach enables the efficient preparation of labeled data for applications such as anomaly detection, pattern recognition, and predictive modeling in smart agriculture. …”
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A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data. by Małgorzata Przybyła-Kasperek, Kwabena Frimpong Marfo

“…The paper introduces a novel approach for constructing a global model utilizing multilayer perceptron (MLP) neural networks and dispersed data sources. These dispersed data are independently gathered in various local tables, each potentially containing different objects and attributes, albeit with some shared elements (objects and attributes). …”
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Reduction of Energy Consumption in Mobile Cloud Computing by ‎Classification of Demands and Executing in Different Data Centers by H. Yeganeh, A. Salahi, M. A Pourmina

“…By emerging mobile applications and cloud computing, Mobile Cloud Computing (MCC) has been introduced. …”
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Robust low frequency seismic bandwidth extension with a U-net and synthetic training data by P. Zwartjes, J. Yoo

“…Traditional seismic data often lack both high and low frequencies, which are essential for detailed geological interpretation and various geophysical applications. …”
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Microscopic Nuclear Reaction Models: Bridging Microscopic Theory and Nuclear Data. In Memory of Eric Bauge by Dupuis Marc

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Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data by Bingxin Lu

“…To summarize the state-of-the-art of the field and inform future development, this review presents a comprehensive survey on the major challenges in inference, different types of methods, and applications of these methods. The challenges are discussed from the aspects of input data, models of evolution, and inference algorithms. …”
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A trigonometric function-based big data model for network information security control mechanisms by Bohan Zhang, Ruoyu Tan

“…It plays an important role in computer network systems, and its applications are involved in all aspects of computer network systems, which mainly include data storage, information retrieval, and retrieval. …”
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Experimental datasets on the extraction of functional ingredients from seaweeds for controlling bacterial infectionMendeley Data by Nehal M. El-Deeb, Tamer A.E. Ahmed, Amal D. Premarathna, Vitalijs Rjabovs, Rando Tuvikene, Riadh Hammami, Martine Boulianne, Maxwell T. Hincke

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LYMPH-V: A wearable arm volume measurement device and mobile application for the prevention and early detection of breast cancer-related lymphedema: A study protocol by İsmail Toygar, Gülcan Bağçivan, Ayşe Arıkan Dönmez, Furkan Bilek, Çiğdem Fulya Dönmez, Pınar Borman, Mehmet Durmuş Çalışır, Yasin Karan, Elif Deniz Kaçmaz

“…This study aims to develop and evaluate LYMPH-V, a wearable arm volume measurement device and mobile application designed for the prevention and early detection of breast cancer-related lymphedema. …”
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Enhancing Campus Environment: Real-Time Air Quality Monitoring Through IoT and Web Technologies by Alfiandi Aulia Rahmadani, Yan Watequlis Syaifudin, Budhy Setiawan, Yohanes Yohanie Fridelin Panduman, Nobuo Funabiki

“…In this paper, we present a real-time air quality monitoring system utilizing <i>Internet of Things (IoT)</i> integrated sensors capable of detecting pollutants and measuring environmental conditions to visualize them. By transmitting data to the <i>SEMAR</i> IoT application server platform via an ESP32 microcontroller, this system provides instant alerts through a web application and <i>Telegram</i> notifications when pollutant levels exceed safe thresholds. …”
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