Quasi-3D model to simulate flow in straight channels within vegetation patches by Sahat Maruli Simanjuntak Yogi, Uchida Tatsuhiko

“…Numerical simulations have emerged as a valuable tool for this purpose, offering cost-effective and scalable approach. In this paper, we conducted a comparative analysis between the Bottom Velocity Computation (BVC) method for quasi-three-dimensional models, which is the enhanced depth-integrated model with sub-grid three-dimensional model, conventional two-dimensional model, and three-dimensional model to explore the three-dimensional (3D) flow effects induced by the presence of vegetation patches. …”
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Cloud-Based Transaction Fraud Detection: An In-depth Analysis of ML Algorithms by Ali Alhchaimi

“…Context: Cloud-based services are increasingly central in financial technology, enabling scalable and efficient transactions. However, they also heighten vulnerability to fraud, challenging the security of online financial activities. …”
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Optimizing Subchannel Assignment and Power Allocation for Network Slicing in High-Density NOMA Networks: A Q-Learning Approach by Suhare Solaiman

“…Extensive simulations demonstrate that the proposed algorithm is flexible and scalable in dynamic scenarios, outperforming random and exhaustive search algorithms in high-density NOMA networks in terms of sum rates. …”
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Android-Based Studio Fitness Application Design on Lifespa Fitness by Wahyu Joko Saputro, Supriadi Panggabean, Ahmad Rifqi

“…This research contributes to the digital transformation of the fitness industry, offering a scalable and user-friendly solution that enhances public health awareness and encourages a more active lifestyle.…”
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications by Emre Sezgin, Ahmet Baki Kocaballi

“…We highlight the evolution and current applications of AI-driven messaging services, including their ability to provide personalized, scalable, and accessible health interventions. Specifically, we discuss the integration of large language models and generative AI in mainstream messaging platforms, which potentially outperform traditional information retrieval systems in public health contexts. …”
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A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study. by Abir Elbéji, Mégane Pizzimenti, Gloria Aguayo, Aurélie Fischer, Hanin Ayadi, Franck Mauvais-Jarvis, Jean-Pierre Riveline, Vladimir Despotovic, Guy Fagherazzi

“…This study investigates the potential of using a voice-based algorithm to predict T2D status in adults, as the first step towards developing a non-invasive and scalable screening method. We analyzed pre-specified text recordings from 607 US participants from the Colive Voice study registered on ClinicalTrials.gov (NCT04848623). …”
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Uncovering the drivers, impacts, and urgent solutions to soil erosion in the Ethiopian Highlands: a global perspective on local challenges by Degfie Teku, Tarekegn Derbib

“…This review underscores the urgency of integrated and scalable approaches to combat soil erosion, combining sustainable land management practices, supportive policy frameworks, and active community engagement.…”
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The value of diabetes technology enabled coaching (DTEC) to support remission evaluation of medical interventions in T2D: Patient and health coach perspectives. by Madison Taylor, Denise Ng, Kaylen J Pfisterer, Joseph A Cafazzo, Diana Sherifali

“…Participants saw value in DTEC as: an opportunity to facilitate and extend REMIT support; a convenient, efficient, and scalable concept (acceptability); having potential to motivate through connecting behaviours to outcomes (adoption); an opportunity for lower-effort demands for sustained use (feasibility). …”
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Epitaxial growth of transition metal nitrides by reactive sputtering by Florian Hörich, Christopher Lüttich, Jona Grümbel, Jürgen Bläsing, Martin Feneberg, Armin Dadgar, Rüdiger Goldhahn, André Strittmatter

“…This represents a simple and technologically scalable approach for N-polar GaN-based layers on Si substrates.…”
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Methods for measuring body composition in Zambian adolescents living with HIV. by Suzanne Filteau, Molly Chisenga, Cassandra Namunkonda, Cynthia Mukwasi-Kahari, Lackson Kasonka, Victoria Simms, Celia L Gregson, Jonathan C Wells

“…Thus, it is important to determine whether less expensive and more available and scalable methods can provide adequate information. …”
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Design and Prototyping of an Automatic Bee Hive Monitoring System for Sustainable Beekeeping in Kanungu District. by Medi, Gerald

“…By leveraging GSM technology, the project seeks to establish a scalable model for modern beekeeping practices that can be replicated in similar contexts worldwide.…”
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AI Applications for Power Quality Issues in Distribution Systems: A Systematic Review by Mitra Nabian Dehaghani, Tarmo Korotko, Argo Rosin

“…In addition, it provides novel insights that can help guide researchers, engineers, and industry professionals toward developing more adaptive, scalable, and robust PQ solutions. Finally, future research directions are proposed to advance AI-based PQ management, facilitating the integration of AI into diverse and evolving power systems.…”
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CLOUD COMPUTING AND FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Hakeem Olayinka Hakeem Olayinka, Adetumilara Adepeju Dedire-Ampitan

“…Cloud computing offers a promising solution to these issues, providing a flexible, scalable, and cost-effective alternative to traditional IT infrastructure. …”
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Deep Reinforcement Learning for Intraday Multireservoir Hydropower Management by Rodrigo Castro-Freibott, Álvaro García-Sánchez, Francisco Espiga-Fernández, Guillermo González-Santander de la Cruz

“…These results suggest that RL offers a scalable alternative to traditional optimization methods for hydropower operations, particularly in scenarios requiring real-time decision making or involving larger systems.…”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…Traffic prediction is highly significant for intelligent traffic systems and traffic management. eXtreme Gradient Boosting (XGBoost), a scalable tree lifting algorithm, is proposed and improved to predict more high-resolution traffic state by utilizing origin-destination (OD) relationship of segment flow data between upstream and downstream on the highway. …”
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Serum-Free Manufacturing of Mesenchymal Stem Cell Tissue Rings Using Human-Induced Pluripotent Stem Cells by Tackla S. Winston, Kantaphon Suddhapas, Chenyan Wang, Rafael Ramos, Pranav Soman, Zhen Ma

“…Our approach of simplified hiPSC-MSC differentiation, modular fabrication procedure, and serum-free culture conditions has a great potential for scalable manufacturing of MSC tissue rings for different regenerative medicine applications.…”
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Parallelized Field-Programmable Gate Array Data Processing for High-Throughput Pulsed-Radar Systems by Aaron D. Pitcher, Mihail Georgiev, Natalia K. Nikolova, Nicola Nicolici

“…The proposed architecture is scalable to accommodate higher sampling rates and various waveform periods. …”
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Community health worker and caregiver experiences and perceptions of a multimodal handheld pulse oximeter used in sick child consultations in rural Burundi: A qualitative evaluatio... by Sarah Bauler, Leocadie Nivyindika, Titus Kirwa, Vital Habonimana, Dionis Nizigiyimana, Miles A Kirby, Asrat Tolossa

“…While CHWs and caregivers highly valued the oximeters during sick child visits, the devices may be better utilized and scalable at the health facility level.…”
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AFF-LightNet: A Lightweight Ship Detection Architecture Based on Attentional Feature Fusion by Yingxiu Yuan, Xiaoyan Yu, Xianwei Rong, Xiaozhou Wang

“…Moreover, a lightweight convolution GhostConv was introduced into the head network to reduce the number of parameters and computation cost. Last, Scalable Intersection over Union (SIOU) loss was leveraged to improve the convergence speed of the model. …”
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Monitoring Environmental and Structural Parameters in Historical Masonry Buildings Using IoT LoRaWAN-Based Wireless Sensors by Noëlla Dolińska, Gabriela Wojciechowska, Łukasz Bednarz

“…The use of LoRaWAN sensors provided real-time, remote monitoring capabilities, offering a cost-effective and scalable solution for preserving historical buildings. …”
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