XGBoost Classifier-Based Model to Predict the Nature of Gender-Based Violence. Case Study: Santander, Colombia by Juan-Sebastián González-Sanabria, Cristian Pinto, Jhon Zuñiga, Hugo Ordoñez, Xiomara Blanco

“…This approach not only represents a proactive response to a critical social challenge but also offers a framework that could be applied in similar contexts at the national and international levels.…”
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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…Traditional air quality monitoring systems lack the predictive capabilities needed for proactive intervention and sustainable urban planning. …”
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An Effective Detection Approach for Phishing URL Using ResMLP by S. Remya, Manu J. Pillai, Kajal K. Nair, Somula Rama Subbareddy, Yong Yun Cho

“…These resultant features are then fed into a Multi-Layer Perceptron (MLP) for classification. …”
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Cervical-vaginal dysbiosis: Clinical query of infections in selected private medical laboratories in Abakaliki Ebonyi State Nigeria by Nnaemeka Okorie Onyekachi Ewa Ibe Pauline Iyke-Ogbo Simon Uzor Victor Udoh Usanga Kingsley Omogo Ugomma Ude Agwu Chinedu Nweke Idakari Uzochukwu Chimdindu Ibe

“…Out of these 38 smear samples, 17 (44.7%) had normal cytological features with no microbial features observed. Out of the remaining 21 smear samples, Trichomonas vaginalis occurred 9 times(42.9%), followed by fungi occurring 6 times (28.5%), Human papillomavirus occurring 4 times (19.1%) and Actinomyces occurring 2 times(9.5%). …”
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Perinatal Women’s Perception of Maternal Health Information Quality on Digital Media: Scoping Review by Bowen Li, Ningning Jin, Yingli Wang, Xiaoni Hou, Jing Meng, Yihong Zhang

“…The perceived quality features of information can be categorized into four distinct aspects: (1) information providers, which encompasses 2 features, transparency and authority; (2) information content, consisting of 9 features, trustworthiness, evidence based, timeliness, comprehensiveness, need-based relevance, practicality, motivational simulation, emotional supportiveness, and cultural sensitivity; (3) information presentation, which includes 3 features, understandability, attractiveness, and conciseness; and (4) information platforms, comprising 3 features, user-friendly navigation, proactive delivery, and interactivity. …”
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TBDQ: A Pragmatic Task-Based Method to Data Quality Assessment and Improvement. by Reza Vaziri, Mehran Mohsenzadeh, Jafar Habibi

“…However, there is a lack of a proactive DQ method for businesses with weak IT infrastructure where data quality is largely affected by tasks that are performed by human agents. …”
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Seismic Upgrading of the Heritage-Protected Reinforced Concrete Warehouse in Rijeka, Croatia by Berislav Bošnjak, Nikola Pekas, Mislav Stepinac

“…Despite Croatia experiencing two strong earthquakes in 2020, Rijeka was not directly affected, underscoring the importance of proactive seismic assessment and strengthening in all seismic regions. …”
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Hydrology objects monitoring system by A. I. Kuzmich, O. V. Baranovski, A. N. Valvachev

“…On the basis of models the proactive algorithm of monitoring providing fixing of dangerous situations at an initial stage of their emergence and operational synthesis of the corresponding managing decisions is constructed. …”
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The mechanism of cryptocurrency adoption as a means of payment in business by J. V. Mickiewicz

“…It discusses the definition and key features of this mechanism, along with summarizing essential recommendations for the use of cryptocurrencies and crypto assets in business payments. …”
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Quantifying Bot Impact: An Information-Theoretic Analysis of Complexity and Uncertainty in Online Political Communication Dynamics by Beril Bulat, Martin Hilbert

“…Bots have become increasingly prevalent in the digital sphere and have taken up a proactive role in shaping democratic processes. While previous studies have focused on their influence at the individual level, their potential macro-level impact on communication dynamics remains underexplored. …”
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Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence by Ziao Xue, Puchuan Tan, Jiangtao Xue, Yuan Xi, Minghao Liu, Yang Zou, Qiang Zheng, Zhou Li, Yuxiang Wu

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Analisis Penerapan Mutual Information pada Klasifikasi Status Studi Mahasiswa Menggunakan Naïve Bayes by Sulfayanti Situju, Nahya Nur, Nursan Halal

“… Early identification of Student Study Status is essential for higher education institutions to implement proactive and strategic measures that facilitate timely completion of studies and mitigate dropout rates. …”
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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository by Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein

“…Moreover, the paper developed and tested several machine learning algorithms using Docker image features: Naïve Bayes, Decision Tree, Random Forest, Gradient Boosting, Extreme Gradient Boosting, and Neural Network. …”
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Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control by Daniel Poul Mtowe, Lika Long, Dong Min Kim

“…The DT layer leverages these extracted features to maintain high-fidelity synchronization with physical robots and to execute predictive models for proactive collision avoidance. …”
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LaborEase: An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy Detection by Muhammad Omar Cheema, Zia Mohy-Ud-Din, Abdullah Al Aishan, Jahan Zeb Gul

“…The developed system can be used for early, noninvasive, reliable, and cost-effective detection of preterm pregnancies, enhancing maternal and neonatal health monitoring and saving millions of lives with cost-effective and proactive interventions.…”
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Analyzing the Risk of Short-Term Losses in Free-Range Egg Production Using Commercial Data by Yusuf Adewale Adejola, Terence Zimazile Sibanda, Isabelle Ruhnke, Johan Boshoff, Saluna Pokhrel, Mitchell Welch

“…This study quantifies the link between data features derived from production and environmental monitoring and egg production issues, thereby providing useful insights on the most important data items captured through day-to-day monitoring, which can be used for proactive management. …”
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Hybrid NARX Neural Network with Model-Based Feedback for Predictive Torsional Torque Estimation in Electric Drive with Elastic Connection by Amanuel Haftu Kahsay, Piotr Derugo, Piotr Majdański, Rafał Zawiślak

“…While model-based methods provide insight into system dynamics, they lack predictive capability—an essential feature for proactive control. Conversely, standalone NARX NNs often suffer from error accumulation and overfitting. …”
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Profiling antivaccination channels in Telegram: early efforts in detecting misinformation by Aelita Skarzauskiene, Monika Maciuliene, Aiste Dirzyte, Gintare Guleviciute

“…The study underscores the need for tailored analytical strategies for platforms with non-standard affordances and suggests that content-based profiling may assist in proactive moderation.…”
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Adoption barriers and facilitators of wearable health devices with AI integration: a patient-centred perspective by Haitham Alzghaibi

“…Data were collected via an online questionnaire that included demographic questions, Likert-scale items, and multiple-choice questions to evaluate awareness of particular AI features and the functionalities of wearable devices.Results and discussionThe findings indicated predominantly positive perceptions, with most participants concurring that wearable devices improve proactive care, facilitate remote consultations, and deliver precise health insights. …”
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Transformer-based latency prediction for stream processing task by Zheng Chu, Baozhu Li, Changtian Ying

“…The Auto-encoder is utilized to reduce the dimensionality of the extensive features and generate a compressed feature representation. …”
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