Citrus Irrigation Management by Davie Mayeso Kadyampakeni, Kelly T. Morgan, Mongi Zekri, Rhuanito Ferrarezi, Arnold Schumann, Thomas A. Obreza

“…Any degree of water stress or imbalance can produce a deleterious change in physiological activity of growth and production of citrus trees.  The number of fruit, fruit size, and tree canopy are reduced and premature fruit drop is increased with water stress.  …”
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Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…A variety of supervised machine-learning algorithms such as RBF Kernel in SVM, Linear Kernel in SVM, Polynomial Kernel in SVM, Random Forest, Logistic regression classifier, Decision tree, Gradient Boosting, K-Nearest Neighbours Classifier, Naïve Bayes Classifier, Artificial Neuron Network and Ensemble Learning Model were implemented to predict multidimensional poverty status for each dataset. …”
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In silico analysis of human herpes virus-8 genome: a comparison of the K1, VR1, and VR2 regions for genotyping and global geographical distribution by Nastaran Khodadad, Ava Hashempour, Shokufeh Akbarinia

“…Afterwards, the VR1 and VR2 regions were derived from the K1 genes, and genotyping of the K1, VR1, and VR2 sequences was performed by applying phylogenetic tree and BioAfrica methods. The K1 genotyping result was most similar to that of VR1, followed by VR2. …”
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

“…The estimation methods utilized were tree-, vector-, neural-, and regularization-based supervised ML. …”
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Gravitational waves and dark matter in the gauged two-Higgs doublet model by Michael J. Ramsey-Musolf, Van Que Tran, Tzu-Chiang Yuan

“…The G2HDM introduces a dark replica of the Standard Model electroweak gauge group, inducing an accidental Z 2 symmetry which not only leads to a simple scalar potential at tree-level but also offers a compelling vectorial dark matter candidate. …”
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Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

“…Conventional ML techniques like random forest (RF) and decision tree (DT) were also employed for comparison. A dataset of 346 experimental data sets from existing literature was used to evaluate model performance. …”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

“…We tested four ML models: AIC-based stepwise regression, two tree-based algorithms (random forests and XGBoost), and neural networks. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine. …”
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From boundary data to bound states by Gregor Kälin, Rafael A. Porto

“…We also provide closed-form expressions for the orbital frequency and periastron advance at tree-level and one-loop order, respectively, which capture a series of exact terms in the Post-Newtonian expansion. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…At each selected location, three machine learning models named Random Forest Regressor (RFR), Support Vector Regressor (SVR), and Decision Tree Regressor (DTR), are evaluated for local Evapotranspiration (ET) estimation and the federated global model. …”
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A Health Economic Analysis Exploring the Cost Consequence of Using a Surgical Site Infection Prevention Bundle for Hip and Knee Arthroplasty in Germany by Rhodri Saunders, Rafael Torrejon Torres, Henning Reuter, Scott Gibson

“…The perioperative process was modeled using a decision tree, and postoperative recovery and potential SSI evaluated using a Markov model. …”
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Ethnographic Study of Perspective and Attitude of Breastfeeding Mothers Towards the use of Elaeis Guineensis Sap As Galactagogue Among Igbo Women of Southeastern Nigeria by Okamkpa Jude Chikezie, Anibeze Ikechukwu Chike, Ozor Ikemefuna Ignatius, Ikenna Kingsely Ndu, Uchenna Anthony Umeh

“… OBJECTIVE: As an age-old traditional practice, nursing mothers from southeastern Nigeria use the Elaeis guineensis sap (from the oil palm tree also referred to as palm wine) to induce and sustain lactation a few hours after delivery. …”
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GIS BASED DECISION SUPPORT SYSTEM FOR SEISMIC RISK IN BUCHAREST. CASE STUDY – THE HISTORICAL CENTRE by DIANA GHEORGHE, IULIANA ARMAS

“…The method included the following steps: structuring the problem in a decision tree, applying standardization and weighting methods to the criteria, finding suitable alternatives and choosing one of the alternatives. …”
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The dependency structure of international commodity and stock markets after the Russia-Ukraine war. by Cheng Zhang, Shuo Liu, Mimi Qin, Bin Gao

“…In this paper, the marginal density function of each series is constructed using the ARMA-GARCH-std method, and the R-Vine copula model is built based on the marginal density function to analyze the correlation relationship between each market. From the Tree1 of the Vine copula, it is found that crude oil becomes the core connecting each commodity market and the stock market during the Russia-Ukraine war. …”
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Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…This paper proposes an Adaptive Bi-directional Rapidly-exploring Random Tree (ABi-RRT) algorithm with the objective of addressing challenges in three-dimensional path planning of unmanned aerial vehicle (UAV) operating in complex environments. …”
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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

“…Then six different algorithms (Logistic Regression, Decision Tree, Random Forest, K-nearest neighbor, Support Vector Machine and Naïve Bayes) were applied. …”
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A Near Complete Genome Assembly of the Oshima Cherry Cerasus speciosa by Kazumichi Fujiwara, Atsushi Toyoda, Bhim B. Biswa, Takushi Kishida, Momi Tsuruta, Yasukazu Nakamura, Noriko Kimura, Shoko Kawamoto, Yutaka Sato, Toshio Katsuki, Sakura 100 Genome Consortium, Tsuyoshi Koide

“…In this study, we present a near complete telomere-to-telomere genome assembly for C. speciosa, derived from the old growth “Sakurakkabu” tree on Izu Oshima Island. Using Illumina short-read, PacBio long-read, and Hi-C sequencing, we constructed a 269.3 Mbp genome assembly with a contig N50 of 32.0 Mbp. …”
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Evaluation of Sustainable Land Management Practices in Kaharo Subcounty Kabale District. by Nasaasira, Blair

“…The major findings of the study revealed that mixed farming, terracing, tree planting, mulching, crop rotation, fertilizer application and minimum tillage was the most land management practices identified in the study area. …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques. by Shayla Naznin, Md Jamal Uddin, Ishmam Ahmad, Ahmad Kabir

“…This study employs machine learning models, including Linear Regression, Ridge Regression, Lasso Regression, Bayesian Ridge, Decision Tree, Gradient Boosting, XGBoost, and CatBoost, to forecast future trends in under-5 mortality. …”
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Patient with Jaundice, Dyspnea and Hyperferritinemia after COVID-19 by V. R. Grechishnikova, P. E. Tkachenko, M. S. Zharkova, T. P. Nekrasova, V. T. Ivashkin

“…Upon instrumental examination no signs of hepatosplenomegaly, biliary tree changes, intra- and extrahepatic obstruction were found. …”
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