Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach by Alfredo Cuzzocrea, Mst Shapna Akter, Hossain Shahriar, Pablo García Bringas

“…In this paper, we propose an innovative framework, named as the trustable LSTM-autoencoder network (TLA NET), which is designed for the detection of cyberbullying on social media by employing synthetic data. We introduce a state-of-the-art method for the automatic production of translated data, which are aimed at tackling data availability issues. …”
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Meta-analysis of microarray studies reveals a novel hematopoietic progenitor cell signature and demonstrates feasibility of inter-platform data integration. by Davendra Sohal, Andrew Yeatts, Kenny Ye, Andrea Pellagatti, Li Zhou, Perry Pahanish, Yongkai Mo, Tushar Bhagat, John Mariadason, Jacqueline Boultwood, Ari Melnick, John Greally, Amit Verma

“…Microarray-based studies of global gene expression (GE) have resulted in a large amount of data that can be mined for further insights into disease and physiology. …”
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Cross–Species Transmission at the Wildlife–Livestock Interface: A Case Study of Epidemiological Inference From Mule Deer GPS Collar Data by Jennifer L. Malmberg, Jeremy Alder, Halcyon Killion, Danielle Buttke, Kim M. Pepin, George Wittemyer

“…Histopathological analysis, immunohistochemistry, and real‐time PCR confirmed M. bovis as the etiology. GPS collar data demonstrated spatial overlap with dairy cattle in the 50 days prior to death, implicating potential spillover from cattle as the transmission pathway. …”
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The use and integration of airborne laser scanning and satellite time series data in precision forest management for plantations of fast-growing tree species by Gonzalo Gavilan-Acuna, Nicholas C. Coops, Piotr Tompalski, Dominik Roeser, Andrés Varhola

“…Conclusion Despite progresses, challenges remain in refining predictive models, expanding remote sensing applications, and developing tools that translate complex data into field operations. …”
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A cluster-based local modeling paradigm for high spatiotemporal resolution VPD prediction using multi-source data and machine learning by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

“…Vapor Pressure Deficit (VPD) is a critical environmental variable in terrestrial ecosystem and climate modeling, with broad applications in agriculture and hydrology. Currently, VPD reanalysis data suffers from relatively low resolution and insufficient accuracy validation. …”
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Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling by Telmo Fernández De Barrena, Alcides Fernandes, Juan Luis Ferrando, Ander García, Hugo Landaluce, Ignacio Angulo

“…By balancing data reduction and analytical accuracy, this approach addresses key challenges in high-frequency data processing for industrial applications.…”
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BanglaBlend: A large-scale nobel dataset of bangla sentences categorized by saint and common form of bangla languageMendeley Data by Umme Ayman, Chayti Saha, Azmain Mahtab Rahat, Sharun Akter Khushbu

“…BanglaBlend also facilitates literary analysis, cultural heritage projects, and the creation of domain-specific texts. To achieve the best data quality, rigorous pre-processing techniques such as anonymization and duplication removal were used. …”
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Biomarker Identification for Prostate Cancer and Lymph Node Metastasis from Microarray Data and Protein Interaction Network Using Gene Prioritization Method by Carlos Roberto Arias, Hsiang-Yuan Yeh, Von-Wun Soo

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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…Additionally, the study employs comprehensive data augmentation methods, including horizontal and vertical flips, grayscale transformations, hue adjustments, brightness adjustments, and noise addition to enhance the model's robustness and generalization capabilities. …”
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Pulsed Focused Nonlinear Acoustic Fields from Clinically Relevant Therapeutic Sources in Layered Media: Experimental Data and Numerical Prediction Results by Tamara KUJAWSKA

“…In many therapeutic applications of a pulsed focused ultrasound with various intensities the finite- amplitude acoustic waves propagate in water before penetrating into tissues and their local heating. …”
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Transcriptome Data Combined With Mendelian Randomization Analysis Identifies Key Genes Associated With Mitochondria and Programmed Cell Death in Intervertebral Disc Degeneration by Hongfei Nie, Xiao Hu, Jiaxiao Wang, Jia Wang, Xiaoqian Yu, Jun Li

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BDS-PPP-B2b-Based Smartphone Precise Positioning Model Enhanced by Mixed-Frequency Data and Hybrid Weight Function by Zhouzheng Gao, Zhixiong Wu, Shiyu Liu, Cheng Yang

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An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data by Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel

“…Accurate individual tree crown delineation (ITCD), which can be used to estimate various forest parameters such as biomass, stem density, and carbon storage, stands as an essential component of precision forestry. Currently, raster data such as the canopy height model derived from airborne light detection and ranging (LiDAR) data have been widely used in large-scale ITCD. …”
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pycastx: A Python library for lightweight data encryption in IoT using ECC and metaheuristics based high-entropy keys and dynamic S-Box by Salman Ali, Md Asdaque Hussain, Faisal Anwer, Ahwar Khan, Mohd Irfan Alam

“…The Internet of Things (IoT) has a wide range of applications that will have a significant impact on several different industries. …”
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Solar, Dust, and Tidal Effects on Martian Dayside Exospheric Temperature: An Empirical Model Based on a Decadal MAVEN/IUVS Data Set by Zhen Xu, Jianqi Qin

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ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data Using Stable Diffusion and Large Language Models by Muhammad Ali Farooq, Wang Yao, Peter Corcoran

“…Ensuring the availability of child facial datasets is essential for advancing AI applications, yet legal, ethical, and data scarcity concerns pose significant challenges. …”
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Validation of Global Moderate-Resolution FAPAR Products over Boreal Forests in North America Using Harmonized Landsat and Sentinel-2 Data by Yinghui Zhang, Hongliang Fang, Zhongwen Hu, Yao Wang, Sijia Li, Guofeng Wu

“…On average, 34.47 ± 6.91% of the FAPAR data met the goal requirements of the Global Climate Observing System (GCOS), while 54.41 ± 6.89% met the threshold requirements of the GCOS. …”
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A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms by Yuan Zhang, Zhekui Fan, Wenjia Yan, Chentian Ge, Huasheng Sun

“…However, the absence of red-edge bands limits the applicability of Landsat images, the most widely used remote sensing data, to vegetation monitoring. …”
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Extracting Decision Rules from Linguistic Data Describing Economic Phenomena. The Approach Based on Decision Systems over Ontological Graphs and PSO by Krzysztof Pancerz, Arkadiusz Lewicki

“… The aim of the paper is to present a heuristic method for extracting the most general decision rules from linguistic data describing economic phenomena included in simple decision systems over ontological graphs. …”
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Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channelsMendeley Data by Matic Može, Samo Jereb, Robert Lovšin, Jure Berce, Matevž Zupančič, Iztok Golobič

“…Additionally, it supports applications in 3D printing, coating technologies, and inkjet printing by providing data on viscous liquid impacts on poorly wettable surfaces.…”
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