Artificial intelligence based prediction and multi-objective RSM optimization of tectona grandis biodiesel with Elaeocarpus Ganitrus by V Vinoth Kannan, Bhavesh Kanabar, J Gowrishankar, Ali Khatibi., Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Pushparaj Thomai, Jasmina Lozanović

“…Advanced Machine Learning (ML) models, including Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), and Random Trees (RT), were employed for predictive analysis, with ANN outperforming RSM in accuracy. …”
Get full text

Effect of Growth Rate on Physical and Mechanical Properties of 4-year-old Acacia mangium Wood from Wonogiri, Central Java by Fanny Hidayati, Ramadhani Ayu Purnama, Harry Praptoyo, Sri Sunarti

“…Furthermore, relationship between basic density and other properties was clarified. The nine mangium trees of 4-year-old used in this study were planted in Wonogiri Regency, Central Java. …”
Get full text

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language by Victor Leiva, Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Cecilia Castro, Mauricio Huerta, Muhammad Tanveer Riaz

“…Machine learning classifiers, including decision trees, k-nearest neighbors, and support vector machines, achieved accuracy levels of 96%, 96.5%, and 97%, respectively. …”
Get full text

Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…The study area was classified into three zones of different aquifer potentials (low, medium, and high) using a combination of remote sensing data and the Classification and Regression Trees (CART) approach. The prediction model was developed using a machine-learning approach based on multiple linear regression to estimate GWS variations as a function of various environmental parameters. …”
Get full text

Research on 3D printing concrete mechanical properties prediction model based on machine learning by Yonghong Zhang, Suping Cui, Bohao Yang, Xinxin Wang, Tao Liu

“…Our study explores the fundamentals and practicality of several models, such as artificial neural networks, decision trees, random forests, support vector regression, and linear regression. …”
Get full text

Chemical Composition and Antimicrobial Potential of Palm Leaf Extracts from Babaçu (Attalea speciosa), Buriti (Mauritia flexuosa), and Macaúba (Acrocomia aculeata) by Adriana Idalina Torcato de Oliveira, Talal Suleiman Mahmoud, Guilherme Nobre L. do Nascimento, Juliana Fonseca Moreira da Silva, Raphael Sanzio Pimenta, Paula Benevides de Morais

“…Babaçu (A. speciosa), Buriti (M. flexuosa), and Macaúba (A. aculeata) are palm trees typical of the ecotone area between Cerrado and the Amazon rainforest. …”
Get full text

A Process Model for the Implementation of Blockchain-Based Systems by Muhammad Nasim Bahar, Michal Ries, Kristian Kostal

“…The model offers a structured approach that includes decision trees for suitability evaluation, platform selection guidance, high-level architectural design strategies, cost estimation techniques, and an understanding of best practices and design principles. …”
Get full text

An Adaptive Framework for Selecting Environmental Monitoring Protocols to Support Ocean Renewable Energy Development by Emily J. Shumchenia, Sarah L. Smith, Jennifer McCann, Michelle Carnevale, Grover Fugate, Robert D. Kenney, John W. King, Peter Paton, Malia Schwartz, Malcolm Spaulding, Kristopher J. Winiarski

“…We developed decision trees to identify suites of impacts at two scales (demonstration and commercial) depending on energy (wind, tidal, and wave), structure (e.g., turbine), and foundation type (e.g., monopile). …”
Get full text

Sinistroporomonorchis bolini n. sp. (Trematoda: Monorchiidae) from the Ocellated killifish, Floridichthys polyommus (Cyprinodontidae) in the Yucatán Peninsula, Mexico based on an i... by Leopoldo Andrade-Gómez, Juan F. Espínola-Novelo, Brenda Solórzano-García, Gerardo Pérez-Ponce de León

“…In addition, sequences of the 28S of large subunit of nuclear ribosomal RNA and cox1 of the mitochondrial DNA were obtained. Phylogenetic trees inferred from each dataset, placed all the specimens in a monophyletic clade, confirming that the isolates belonged to the same species. …”
Get full text

Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

“…The Random Forest classifier achieved the highest accuracy of 96.30 %, outperforming other models such as Decision Trees and Logistic Regression, with notable improvements in sensitivity and specificity. …”
Get full text

Humus of reclaimed Cu post-flotation tailings Humus content and composition of soil from reclaimed Cu post-flotation tailings (Bor, Serbia) by Lilić Jasmina, Gajić-Kvaščev Maja, Dugonjić Mladen, Radmanović Svjetlana

“…Part of the tailings was reclaimed about 20 years ago by restoring the topsoil with arable soil and planting trees and grasses. Humus parameters were used as indicators for the success of the reclamation. …”
Get full text

Analysis of the relationship of regional deprivation indices with environmental sustainability (Case study: villages of Poldokhtar Township) by Mehrshad Toulabi Nejad, jaad Bazrafshan, sirous ghanbari

“…In the context of environmental sustainability factors, the results show that none of the factors is in stable condition. Water resources, trees, pasture, and pastures are in a state of instability and the only factor that has a somewhat stable status is the soil. …”
Get full text

A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…The proposed model, although based on an artificial neural network (ANN), also has the potential to be adapted for methods used in machine learning and artificial intelligence, such as Support Vector Machines, Decision Trees, Random Forests, and Ensemble Learning Methods.…”
Get full text

Struktur Komunitas Mangrove di Pesisir Pantai Kecamatan Sedati dan Kecamatan Jabon Kabupaten Sidoarjo by Purity Sabila Ajiningrum, Muhammad Anugrah Dewangga

“…The important value index on the coast of Sedati District and Jabon District, Sidoarjo Regency is 298.058% for trees and 22.02% for seedlings, and Avicennia marina has the highest important value index with a value of 198.25. …”
Get full text

Comprehensive transcriptome and proteome analysis revealed the molecular mechanisms of melatonin priming and waterlogging response in peach by Xianbin Gu, Linghong Lu, Jing Gao, Fei Fan, Genhua Song, Huiqin Zhang

“…The escalating trajectory of global climate change is heightening both the frequency and intensity of waterlogging events. Peach trees are particularly vulnerable to waterlogging, with the resultant hypoxia in the rhizosphere profoundly influencing their growth and productivity. …”
Get full text

Molecular phylogeny and comparative chloroplast genome analysis of the type species Crucigenia quadrata by Ting Wang, Huan Feng, Huan Zhu, Bojian Zhong

“…The Bayesian and maximum likelihood (ML) phylogenetic trees support a monophyletic group of C. quadrata and Scenedesmaceae (Chlorophyceae) species. …”
Get full text

Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction by Alberto Gonzalez-Sanchez, Juan Frausto-Solis, Waldo Ojeda-Bustamante

“…Multiple linear regression, stepwise linear regression, M5′ regression trees, and artificial neural networks (ANN) were ranked. …”
Get full text

Two Approaches to Constructing Certified Dominating Sets in Social Networks by Joanna Raczek, Mateusz Miotk

“…The effectiveness and efficiency of the proposed algorithms were validated through experiments that compare their results with each other and with a previous study: the linear-time algorithm, which determines the certified domination number for trees and with known results for the domination number in social networks.…”
Get full text

Experimental Characterizing Mechanical and Physical Properties of Water Lily Polyester Matrix Composite Materials by Melese Shiferaw Kebede, Tesfa Guadie Ayaliew, Solomon Mesfin Demlie

“…Ethiopia is abundant in NFs such as palm trees, sisal, water hyacinth, and the newly emerging water lilies. …”
Get full text

Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…For the simulation of risk level prediction, we compared our method with some machine learning algorithms, such as ridge regression, Lasso regression, support vector regression, decision trees, and multi-layer perceptron. Results showed that the two-level indicator system is superior to the general indicator system for risk assessment.…”
Get full text