Foundation Models in Agriculture: A Comprehensive Review by Shuolei Yin, Yejing Xi, Xun Zhang, Chengnuo Sun, Qirong Mao

“…Furthermore, it discusses the challenges faced by AFMs, including data acquisition, training efficiency, data shift, and practical application challenges. …”
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GPS Phase Integer Ambiguity Resolution Based on Eliminating Coordinate Parameters and Ant Colony Algorithm by Ning Liu, Shuangcheng Zhang, Xiaoli Wu, Yu Shen

“…Correctly fixing the integer ambiguity of GNSS is the key to realizing the application of GNSS high-precision positioning. When solving the float solution of ambiguity based on the double-difference model epoch by epoch, the common method for resolving the integer ambiguity needs to solve the coordinate parameter information, due to the influence of limited GNSS phase data observations. …”
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Coronavirus Infection and BCG Vaccination: Facts and Possibilities by B. V. Karalnik, B. I. Alimbekova, L. T. Eralieva

“…The analyzed materials of that review substantiate the rationale for further continuation of the scientific studies and possibility for application of already accumulated data in order to protect, primarily the risk groups, against dangerous infections, especially in the timeframe when no relevant vaccines are available. …”
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The Treatment of Snake Bites in a First Aid Setting: A Systematic Review. by Bert Avau, Vere Borra, Philippe Vandekerckhove, Emmy De Buck

“…However, additional studies suggest that proper application of this technique is not feasible for laypeople. …”
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A graph-based sensor recommendation model in semantic sensor network by Yuanyi Chen, Yihao Lin, Peng Yu, Yanyun Tao, Zengwei Zheng

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Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index by Haiyan Chen, Yihua Mao, Rui Wang

“…Compared with the BP neural network, the risk prediction model established by SVM can obtain more accurate prediction results under the condition of a smaller training data set. The presented research can not only effectively reduce the health threats caused by the physical and psychological effects faced by construction personnel when working at altitude and ensure construction safety, but also further enrich the application scenarios of multi-sensor data-driven equipment and expand its application in the construction field.…”
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Interest Rate and Loan Portfolio Performance of Commercial Banks in Uganda: Case of Stanbic Bank. by Mwebesa, Samson

“…Data were analysed using multiple regression, aided by SPSS version 23. …”
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Prediction of Outcomes in Sports Under Probability in Kigezi Region. by Masereka, Jairus

“…The study recommends that encouraging local sports organizations in Kigezi to improve the collection and analysis of sports-related data. Accurate and comprehensive data on teams, players, and match conditions will improve the quality of predictions.…”
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Financial Accessibility and Performance of Small and Medium Enterprises in Kabale Municipality-Uganda by Ambrose, Turyomunsi

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Dataset Gambar Wajah untuk Analisis Personal Identification by Syefrida Yulina, Hoky Nawa

“… In today's era, which is supported by technological advances, personal assistance through the face can be carried out by sophisticated machines and robots. One of its applications is personal identification using data mining. …”
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STRATEGI PEMASARAN TEH HITAM MERK “ALAM DEMPO” PADA CV. KARYA SEJAHTERA PAGAR ALAM by Tiffany Siti Khadijah, Irnad Irnad, Satria Putra Utama

“…The data was analyzed by using the AHP (Analytical Hierarchy Process) with Application Expert Choice 11. …”
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Comparison of four classifiers for speech-music discrimination: a first case study for costa rican radio broadcasting by Joseline Sánchez-Solís, Marvin Coto-Jiménez

“…The main contribution of this exploratory work is the general procedure and selection of algorithms for the Costa Rican radio corpus, which can lead to the extensive use of this source of data in many own applications and systems. …”
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Research on Wi-Fi indoor positioning technology based on knowledge graph by Jiandong LI, Jingjing YANG, Ming HUANG

“…Among the common Wi-Fi indoor positioning methods, most of the research focuses on the positioning accuracy, a little is on the application system to organize and process the existing indoor data efficiently in order to realize the indoor location service.To deal with these issues, the knowledge graph with the traditional indoor positioning technology was combined, and a practical positioning system was built with a variety of software development technologies.The system integrates the physical space and the information space.The information space includes indoor information acquisition, cloud services, information storage and computing parts.The physical space expresses the structure of the indoor space and data relationships.Finally, the WEBGL technology was used to display intuitive positioning and realize the visualization of indoor signal data and positioning results.The system has a complete data storage and use mechanism.After integrating the existing data information of the indoor internet of things equipment, it can provide users with room-level location services.The step-by-step positioning function of the system helps to reduce the time consumption of the system.…”
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Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary Impact by Tian Xiaolin

“…This article explores methods to accelerate distributed computation, focusing on its application in machine learning. It discusses two primary concepts: coded multiplication and data shuffling, along with a non-linear core to Random Access Memory (RAM) approach, presenting new avenues for future research. …”
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On the Use of WGANs for Super Resolution in Dark-Matter Simulations by John Brennan, Sreedhar Balu, Yuxiang Qin, John Regan, Chris Power

“…This can be achieved by enabling traditional simulation methods to run at lower resolution and then efficiently computing high-resolution data corresponding to the simulated low-resolution data. …”
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Design of an Encrypted Serial Communication System Based on Pseudo-random Sequences by LI Miao, FAN Linbin, WANG Yan

“…In some low-cost industrial application scenarios, serial communication is mostly transmitted in plaintext, leaving data vulnerable to theft and issues, such as poor data reliability. …”
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AI-assisted beach management: Leveraging geoportals for insights from M'diq collectivity by Lahlouh Ayoub, Ben Driss Nisserine

“…Despite limited data, the chatbot shows promise for scalability and broader application. …”
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CLASSIFICATION SUPPORT VECTOR MACHINE IN BREAST CANCER PATIENTS by Siti Hadijah Hasanah

“…Based on the simulation results of training data and testing data on female breast cancer patients, SVM with hyperplane RBF has better accuracy than hyperplane polynomial, linear and sigmoid. …”
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Design and research of English material archives management system based on machine learning technology by Yi Qin

“…By introducing deep learning models neural network (CNN) and recurrent neural network (RNN), we construct a document classification, keyword extraction, and topic recognition system, which significantly improves the accuracy of data retrieval. After training and testing on a large-scale English corpus, the classification accuracy of the model has increased from 75 % of the traditional method to 90 %, and the F1 score of keyword extraction has increased from 60 % to 85 %, demonstrating the strong application potential of machine learning in English data management.…”
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Characteristics of Solar Panel Stability Under Operating Conditions by K. S. Dzik, I. V. Gasenkova

“…The article considers the application of a two-diode physical and mathematical model in the analysis of telemetry data of solar panels using digital twins to monitor the efficiency of solar power plants. …”
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