Application of Multiple Unsupervised Models to Validate Clusters Robustness in Characterizing Smallholder Dairy Farmers by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna O. Yonah, Fidalis D. N. Mujibi

“…This paper explores robustness of production cluster definition using various unsupervised learning algorithms to assess the best approach to define clusters. Data were collected from 8179 smallholder dairy farms in Ethiopia and Tanzania. …”
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Implementation and Applications of Intelligent Batch Processing Technology for Isotope Injection Profile Logging Interpretation by SUN Liang

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Estimation of soil temperature for agricultural applications in South Africa using machine-learning methods by Lindumusa Myeni, Tlotlisang Nkhase, Ramontsheng Rapolaki, Zaid Bello, Mokhele E. Moeletsi

“… This study was undertaken to investigate the potential of using machine-learning approaches as alternative and cost-effective tools for estimating soil temperature from readily available meteorological data for agricultural applications in South Africa. …”
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Security application of intrusion detection model based on deep learning in english online education by Xue Li, Yugui Zhang

“…Simultaneously it designs a hierarchical long short term memory network (HLSTM) to extract temporal features across multiple temporal hierarchical structure on network data sequences. Finally, the experimental results display that MCNN-MHA-HLSTM can significantly improve the intrusion detection capability of English online education platforms, laying a technical foundation for the operation and sustainable development of English online education security application.…”
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Application of Hyperspectral Imaging for Watermelon Seed Classification Using Deep Learning and Scoring Mechanism by Hengnian Qi, Mengbo He, Zihong Huang, Jianfang Yan, Chu Zhang

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A systematic review of machine learning applications in predicting opioid associated adverse events by Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

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Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection by Konduru Siva Naga Narasimharao, P. V. Lakshmi

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The Application of Spatial Analysis and Time Series in Modeling the Frequency of Earthquake Events in Bengkulu Province by Fachri Faisal, Pepi Novianti, Jose Rizal

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A framework for large-scale risk assessment of road-related impacts, with application to mustelids by Fernando Ascensão, Rafael Barrientos, Marcello D’Amico

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Evolution of machine learning applications in medical and healthcare analytics research: A bibliometric analysis by Samuel-Soma M. Ajibade, Gloria Nnadwa Alhassan, Abdelhamid Zaidi, Olukayode Ayodele Oki, Joseph Bamidele Awotunde, Emeka Ogbuju, Kayode A. Akintoye

“…The study applies data mining techniques to a comprehensive dataset of published articles related to machine learning applications in the medical and healthcare sectors. …”
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Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications by Lin Yola, Garrin Alif Nanditho, Kaito Kobayashi, Dinesh Manandhar

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Exploring Large Language Models and the Metaverse for Urologic Applications: Potential, Challenges, and the Path Forward by Hyung Jun Park, Eun Joung Kim, Jung Yoon Kim

“…Concurrently, generative artificial intelligence, especially large language models, is being integrated into healthcare for applications in data analysis, image recognition, and natural language processing. …”
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Nano-Scale Hydroxyapatite: Synthesis, Two-Dimensional Transport Experiments, and Application for Uranium Remediation by S. R. Kanel, T. P. Clement, M. O. Barnett, M. N. Goltz

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A Review on Application of Various Deep Learning Techniques and Filtering Approach in Plant Phenotyping by Rama devi Kalluri, Prabha Selvaraj

“…Then a comparative assessment of DL tools against other existing techniques, with respect to decision accuracy, data size requirement, and applicability in various scenarios. …”
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Probing Lateral Density Variations in the Crust from Gravity and Topography: Applications to the Moon and Mars by Sander Goossens, Terence J. Sabaka

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APPLICATION OF PROBLEM BASED LEARNING MODELS ON NATURAL SCIENCES TO IMPROVE MOTIVATION AND LEARNING OUTCOMES by Ilham Widia Yusa, Aditya Rakhmawan, Suwandi Suwandi

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Time-domain electromagnetic inversion and application for VTI media based on convolutional neural networks by Pan Aohuai, Pan Aohuai, Yan Liangjun, Yan Liangjun, Zhou Lei, Zhou Lei

“…Application of field-measured transient electromagnetic data shows that the method effectively identifies changes in the target layer’s vertical resistivity and anisotropy coefficient induced by hydraulic fracturing, with the average resistivity decreasing from 11.49 to 7.27 (a 36.7% reduction) and the anisotropy coefficient decreasing from 3.21 to 1.58 (a 50.8% reduction). …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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A QSAR-based application for the prediction of lethal blood concentration of new psychoactive substances by Tarcisio Correa, Jéssica Sales Barbosa, Thiara Vanessa Barbosa da Silva, Thiala Soares Josino da Silva Parente, Danielle de Paula Magalhães, Wanderley Pinheiro Holanda Júnior

“…The model demonstrated satisfactory performance metrics through cross-validation (R ≈ 0.8, MAE ≈ 0.6) and comparison with experimental data (R ≈ 0.9). A Python-based web application have been developed to facilite the use of the created model in predicting LBC of NPS. …”
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Wearable Sensors-Based Intelligent Sensing and Application of Animal Behaviors: A Comprehensive Review by Luyu Ding, Chongxian Zhang, Yuxiao Yue, Chunxia Yao, Zhuo Li, Yating Hu, Baozhu Yang, Weihong Ma, Ligen Yu, Ronghua Gao, Qifeng Li

“…Focusing specifically on contact sensing techniques, this review examines sensor characteristics and data acquisition challenges, methodologies for processing behavioral data and implementing identification algorithms, industrial applications enabled by recognition outcomes, and prevailing challenges with emerging research opportunities. …”
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