Thermodynamics-Informed Neural Networks for the Design of Solar Collectors: An Application on Water Heating in the Highland Areas of the Andes by Mauricio Cáceres, Carlos Avila, Edgar Rivera

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Bio-Fabricated Aluminum Oxide Nanoparticles Derived from Waste Pharmaceutical Packages: Insight into Characterization and Applications by Jamilah M. Al-Ahmari, Reem M. Alghanmi, Ragaa A. Hamouda

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Improving reviewer selection in Open Journal Systems using a Scopus search application programming interface in the by Indra Kharisma Raharjana, Badrus Zaman, Oktavia Intifada Husna, Rizfi Ferdiansyah, Aretha Seno Putri, Fariska Dwi Kartika Sari

“…This study collected user data from OJS as potential reviewers and utilized information from the Scopus search application programming interface (API). …”
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The application of artificial intelligence techniques in predicting game outcomes of professional basketball league: A systematic review. by Chuxuan Li, Hao Zhang, Yuan Zhang, Jing Shen, Ruopeng An

“…Future research should include diverse basketball leagues and employ more advanced validation techniques to enhance model robustness and applicability. Integrating real-time data and exploring transfer learning will likely improve prediction accuracy and decision-making support.…”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…By combining these methods with advancements in data processing, such as machine learning and predictive modeling, the potential for broader applications becomes evident. …”
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Evaluation of the Performance and Utility of Global Gridded Precipitation Products for Health Applications and Impact Assessments in South America by Sally Jahn, Katy A. M. Gaythorpe, Caroline M. Wainwright, Neil M. Ferguson

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Business Intelligence Analysis in Small and Medium Enterprises by Reza Maleki, Ehsan Sabet

“…In next Section reviews data management software solutions for business sustainability. …”
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The New Ristić-Balakrishnan-Heavy-Tailed-Type II Topp-Leone-G Family of Distributions with Applications by Gayan Warahena-Liyanage, Broderick Oluyede, Thatayaone Moakofi

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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…In the end, for illustrative reasons, an algorithmic application to actual data is investigated.…”
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Selection of a Suitable Wall Pressure Spectrum Model for Estimating Flow-Induced Noise in Sonar Applications by V. Bhujanga Rao

“…Comparison of theoretical data with measured data onboard a ship are also reported.…”
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Application of Limited Dependent Variable Models to Study the Most Prognostic Factors for Thalassemia Patients in Erbil City by Kurdistan Ibrahim Mawlood

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Validation of a software application using electronic health records for automatic detection of community onset sepsis by Cristian Duré, Sandra Jonmarker, Eva Joelsson-Alm, Hampus Nordqvist, Katarina Bohm, Liivi Rimling, Mikael Andersson Franko, Maria Cronhjort, Kristian Ängeby

“…The application utilized indicators such as blood culture data, antibiotic administration, and Sequential Organ Failure Assessment scores to detect sepsis cases according to Sepsis-3 criteria. …”
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Distributed Hydrological Modeling With Physics‐Encoded Deep Learning: A General Framework and Its Application in the Amazon by Chao Wang, Shijie Jiang, Yi Zheng, Feng Han, Rohini Kumar, Oldrich Rakovec, Siqi Li

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A service-oriented microservice framework for differential privacy-based protection in industrial IoT smart applications by Dileep Kumar Murala, K. Vara Prasada Rao, Veera Ankalu Vuyyuru, Beakal Gizachew Assefa

“…However, despite their potential, the practical adoption of these technologies faces critical challenges, particularly concerning data privacy and security. AI models, especially in distributed environments, may inadvertently retain and leak sensitive training data, exposing users to privacy risks in the event of malicious attacks. …”
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Applicability of predictive models for 30-day unplanned hospital readmission risk in paediatrics: a systematic review by Stephanie Stock, Jörg Dötsch, Dirk Müller, Ines Marina Niehaus, Nina Kansy

“…Objectives To summarise multivariable predictive models for 30-day unplanned hospital readmissions (UHRs) in paediatrics, describe their performance and completeness in reporting, and determine their potential for application in practice.Design Systematic review.Data source CINAHL, Embase and PubMed up to 7 October 2021.Eligibility criteria English or German language studies aiming to develop or validate a multivariable predictive model for 30-day paediatric UHRs related to all-cause, surgical conditions or general medical conditions were included.Data extraction and synthesis Study characteristics, risk factors significant for predicting readmissions and information about performance measures (eg, c-statistic) were extracted. …”
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Integrated application of geophysical methods in the South Caspian basin (based on the Bulla-Deniz oil and gas field) by Г.Дж. Етирмишли, С.Э. Казимова, А.В. Самедзаде

“…Geophysical studies revealed key anomalies, seismology and seismic tomography clarified deep processes, GPS data described the kinematics of plates, and drilling provided direct data on productive layers. …”
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Application of intuitive fuzzy MABAC method in optimizing favorable areas of low permeability carbonate gas reservoirs by MIN Chao,LI Yingjun,LI Xiaogang,HUA Qing,ZHANG Na

“…The geological structure and reservoir characteristics of low-permeability carbonate gas reservoirs are complex, and the high uncertainty in data acquisition and interpretation makes it challenging to identify optimal development areas. …”
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Development of Self-Powered Energy-Harvesting Electronic Module and Signal-Processing Framework for Wearable Healthcare Applications by Jegan Rajendran, Nimi Wilson Sukumari, P. Subha Hency Jose, Manikandan Rajendran, Manob Jyoti Saikia

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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

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Green credit risk identification and anti-corruption measures under the application of the multi-layer deep network by Zeyu Wang, Caimeng Wang, Zhili Bai, Song Song

“…Using data from 36 Chinese banks, the model incorporates indicators of transparency and accountability to enhance risk prediction. …”
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