The symmetric division Szeged index: A novel tool for predicting physical and chemical properties of complex networks by Modjtaba Ghorbani, Zahra Vaziri, Razie Alidehi-Ravandi, Yilun Shang

“…It explores several properties and inequalities associated with the SDZ-index, offering examples and results for various graph classes, including bipartite graphs, trees, complete graphs, unicycles, distance-balanced graphs, and triangle-free graphs. …”
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Contribution of Ambient Ozone to Changes in Scots Pine Defoliation. Step II of Lithuanian Studies by Algirdas Augustaitis, Ingrida Augustaitiene, Almantas Kliucius, Rasele Girgzdiene, Dalia Sopauskiene

“…Forty-eight pine stands with more than 8000 sample pine trees have been monitored annually. The impact of sulfur dioxide (SO2) on pine defoliation was found to be the most significant. …”
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Generalized Characteristic Polynomials of Join Graphs and Their Applications by Pengli Lu, Ke Gao, Yang Yang

“…As applications, the Laplacian spectra enable us to get the formulas of the number of spanning trees, Kirchhoff index, and LEL of G1⊚G2 and G1⊝G2 in terms of the Laplacian spectra of G1 and G2.…”
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Thermal Behavior of an Asphalt Pavement in the Laboratory and in the Parking Lot by J. B. Martinkauppi, A. Mäkiranta, J. Kiijärvi, E. Hiltunen

“…The urban, constructed areas are full of buildings and different kinds of pavements and have a noticeable lack of trees and flora. These areas are accumulating the heat from the Sun, people, vehicles, and constructions. …”
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Prediction of elastic modulus, yield strength, and tensile strength in biocompatible titanium alloys by Marković G., Ružić J., Sokić M., Milojkov D., Manojlović V.D.

“…The aim of this study is to develop accurate machine learning models for predicting mechanical properties: modulus of elasticity, tensile strength, and yield strength, specifically using the Extra Trees Regressor model. Compared to the previous results, an improvement of the elastic modulus prediction model was observed after the inclusion of data on heat treatment parameters and Poisson’s ratio, as seen in the reduced MAE from 7.402 to 7.160 GPa. …”
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Implementation of HACCP Management System in a Cake Manufacturing Company in Dhaka, Bangladesh: A Case Study by Md. Fahad Jubayer, Md. Sajjad Hossain, Md. Al-Emran, Md. Nasir Uddin

“…The critical control points were determined by answering the questions in the decision trees. Finally, the HACCP control chart was created to include critical limits, monitoring, and corrective actions as the components of several HACCP principles. …”
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A Mini-Review of Machine Learning in Big Data Analytics: Applications, Challenges, and Prospects by Isaac Kofi Nti, Juanita Ahia Quarcoo, Justice Aning, Godfred Kusi Fosu

“…The study outcome shows that deep neural networks (15%), support vector machines (15%), artificial neural networks (14%), decision trees (12%), and ensemble learning techniques (11%) are widely applied in BDA. …”
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ANALYSE DE LA RÉGÉNÉRATION SPONTANÉE DE LA VÉGÉTATION POST-INCENDIE DANS LA FORET DE DAR CHICHOU (CAP BON, TUNISIE NORD-ORIENTALE) by KHALED ABAZA

“…In addition to the almost total carbonization of the fauna and flora of the devastated area observed the day after the outbreak of the disaster, the study highlights a good natural regeneration of vegetation, in particular broadleaf trees and secondary vegetation, but according to very varied rhythms and aspects.…”
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Russian forests show strong potential for young forest growth by Christopher S. R. Neigh, Paul M. Montesano, Joseph O. Sexton, Margaret Wooten, William Wagner, Min Feng, Nuno Carvalhais, Leonardo Calle, Mark L. Carroll

“…The capacity of land to grow trees, defined in forestry as site index, was estimated by analyzing recent measurements of canopy height against a chronosequence of forest stand age derived from the historical satellite record. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…It was found that the gradient boosted trees algorithm achieves the best success with an accurate prediction success of 95.31%. …”
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Blockchain-Based Anonymous Reputation System for Performance Appraisal by Hye Jin Lee, Duc Anh Luong, Jong Hwan Park, Hyoseung Kim

“…This system is designed for upward feedback in performance appraisals, employing cryptographic techniques such as non-interactive zero-knowledge proofs, public key encryption, and Merkle trees to ensure security. Our protocol addresses the risks of Sybil attacks, ensures review limitation and unforgeability. …”
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Strong wind is one of the important factors that trigger landslides by Yuan-Chien Lin, Jui-Yun Hsieh, Hua-San Shih, Wen-Hsin Wang

“…In landslide-prone forest regions, typhoon-induced strong winds can uproot trees and destabilize their root systems, potentially triggering shallow landslides. …”
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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

“…For the prediction of heart disease, decision trees are used to analyze various training and evaluation datasets. …”
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Evaluation of Mechanical and Water Absorption Properties of Alkaline-Treated Sawdust-Reinforced Polypropylene Composite by Eyasu Ferede

“…Sawdust is a natural composite obtained from natural resources such as shrubs and trees and in a large amount from the wood industry as a waste. …”
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NPQ-RRT∗: An Improved RRT∗ Approach to Hybrid Path Planning by Zihan Yu, Linying Xiang

“…The improved Rapidly Exploring Random Trees algorithm PQ-RRT∗ with new distance evaluation function is used as a global planning algorithm to generate the initial global path. …”
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Identifying the Factors Affecting Science and Mathematics Achievement Using Data Mining Methods by S. Ahmet Kiray, Bilge Gok, A. Selman Bozkir

“…We analyzed the data using two data-mining methods (decision trees and clustering). The findings show that science or mathematics achievement is not influenced by the course-specific variable alone but also by other related variables. …”
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The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort by JIAN Yuhong, YANG Huiyue, WANG Xinggang, RONG Yisheng, ZHU Yukun

“…A "low slow small" human-machine data set is constructed with four types of backgrounds: sky, trees, buildings, and dark conditions. The experimental test is carried out. …”
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Ethnobotany of Okomu Forest Reserve, Edo State, Nigeria by O.A. Ugbogu, E.C. Chukwuma

“…Further findings showed that the leaves and stem bark are the most useful parts of the plants while the flower and pith were the least useful. In general, the trees were the most useful of all plant habits followed by the herbs and the shrubs. …”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…In comparison, the random forest model, which builds multiple decision trees (DT) to do their predictions, demonstrates superior performance over several widely used algorithms such as K-Nearest Neighbours (KNN), Logistic Regression (LR), DT, Support Vector Machines (SVM), and Gradient Boosting (GB). …”
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Enhancing Spam Filtering: A Comparative Study of Modern Advanced Machine Learning Techniques by Zhang Chenwei

“…With an emphasis on Naïve Bayes (NB), Decision Trees (DT), and Support Vector Machines (SVM), this study offers a thorough analysis of the major machine learning techniques utilized in contemporary spam filtering. …”
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