Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…The ensemble learning algorithms used include AdaBoost (AD), Gradient Boosting Classifier (GBM), Random Forest (RF) and Extra Trees (ET). We used an accuracy metric to measure the performance of the algorithms. …”
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Models based on dietary nutrients predicting all-cause and cardiovascular mortality in people with diabetes by Fang Wang, Yukang Mao, Jinyu Sun, Jiaming Yang, Li Xiao, Qingxia Huang, Chenchen Wei, Zhongshan Gou, Kerui Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithm were applied to identify key mortality-related dietary factors, which were subsequently incorporated into risk prediction nomogram models. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…A risk score based on t 3-ARG feature was developed to stratify NPC patients into two distinct risk groups using the optimal model, Random Survival Forest. NPC patients with high-risk scores experienced notably shorter progression-free survival in comparison to those with low-risk scores. …”
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Predicting ixodid tick distribution in Tamil Nadu domestic mammals using ensemble species distribution models by Ayyanar Elango, Hari Kishan Raju, Ananganallur Nagarajan Shriram, Ashwani Kumar, Manju Rahi

“…Haemaphysalis spinigera, the primary Kyasanur Forest Disease vector, was predicted along the Western Ghats using the MaxEnt model. …”
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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study by Si Chen, Rui Nie, Xiaoran Shen, Yan Wang, Haixia Luan, Xiaoli Zeng, Yanhua Chen, Hui Yuan

“…The results of the machine learning analysis indicated that the model built using the random forest algorithm performed the best, with an area under the curve of 0.879. …”
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Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

“…The model employed a super learner algorithm that combine three base algorithms of elastic net, random forest and support vector machine. The model performance was evaluated through five independent unseen tests with nested 5-fold cross-validation. …”
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Comparison of different GnRH compounds on fertility outcomes in ovulation synchronized and presynchronized beef cows by Nicola Oosthuizen, Lucas M. Goncalves, Samir Burato, Molly S. Smith, Kelsey M. Harvey, Graham Cliff Lamb, Graham Cliff Lamb, Pedro L. P. Fontes

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The INFLUENCE 3.0 model: Updated predictions of locoregional recurrence and contralateral breast cancer, now also suitable for patients treated with neoadjuvant systemic therapy by M.C. Van Maaren, T.A. Hueting, D.J.P. van Uden, M. van Hezewijk, L. de Munck, M.A.M. Mureau, P.A. Seegers, Q.J.M. Voorham, M.K. Schmidt, G.S. Sonke, C.G.M. Groothuis-Oudshoorn, S. Siesling

“…Cox regression with restricted cubic splines was compared to Random Survival Forest (RSF) to predict five-year LRR and CBC risks. …”
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Tick species, tick-borne pathogen distribution and risk factor analysis in border areas of China, Russia and North Korea by Pengfei Min, Jianchen Song, Shaowei Zhao, Zhen Ma, Yinbiao Meng, Zeyu Tang, Zhenyu Wang, Sicheng Lin, Fanglin Zhao, Meng Liu, Longsheng Wang, Lijun Jia, Lijun Jia

“…I. persulcatus was the main species in the forest environment, while H. longicornis was the main species in grasslands and animal surface. …”
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Effects of mode of reproduction on genetic polymorphism and divergence in wild yams (Dioscoreaceae: Dioscorea) by Xin Wang, Qing-Hong Feng, Zhi-Hua Zeng, Zhi-Qiang Zhang, Jie Cai, Gao Chen, De-Zhu Li, Hong Wang, Wei Zhou

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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…This study explores a range of commonly used ML models, including artificial neural network (ANN), support vector machine (SVM), decision tree, random forest, and extreme gradient boosting (XGBoost). These models have been used to predict waste characteristics, classify diverse types of OSW, and optimize treatment parameters across various processes, such as thermochemical conversion, anaerobic digestion, and aerobic composting. …”
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Effects of Different Vegetation Restoration Measures on the Disintegration Characteristics of Eroded Degraded Land of Pinus massoniana in Red Soil Region by XI Jie, WU Zehua, LIN Qiang, WU Jieling, ZHANG Liu, ZHOU Shiqi, ZHOU Qin, SUN Lili, ZHA Xuan

“…This measure is more effective for soil and water loss control in severely degraded P. massoniana forest in granite red soil area. Soil geometric mean diameter (GMD) is a direct control factor affecting soil disintegration characteristics, and can be used as a preferred index to evaluate soil disintegration characteristics.…”
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Impacts of plant root traits and microbial functional attributes on soil respiration components in the desert-oasis ecotone by Jinlong Wang, Jinlong Wang, Jinlong Wang, Guanghui Lv, Guanghui Lv, Guanghui Lv, Jianjun Yang, Jianjun Yang, Jianjun Yang, Xuemin He, Xuemin He, Xuemin He, Hengfang Wang, Hengfang Wang, Hengfang Wang, Wenjing Li, Wenjing Li, Wenjing Li

“…Concomitantly, the Ra and Rh components exhibited a similar trend throughout the study period, with Rh emerging as the dominant driver of Rs. Utilizing random forest modeling, we unearthed significant associations between microbial taxonomic and functional features and Rs components. …”
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Recent centennial drought on the Tibetan Plateau is outstanding within the past 3500 years by Yu Liu, Huiming Song, Zhisheng An, Qiang Li, Steven W. Leavitt, Ulf Büntgen, Qiufang Cai, Ruoshi Liu, Congxi Fang, Changfeng Sun, Kerstin Treydte, Meng Ren, Lidong Mo, Yi Song, Wenju Cai, Quan Zhang, Weijian Zhou, Achim Bräuning, Jussi Grießinger, Deliang Chen, Hans W. Linderholm, Ashish Sinha, Hai Cheng, Lu Wang, Ying Lei, Junyan Sun, Wei Gong, Xuxiang Li, Linlin Cui, Liang Ning, Lingfeng Wan, Thomas W. Crowther, Constantin M. Zohner

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Treatment efficacy for infantile epileptic spasms syndrome in children with trisomy 21 by Henry Chen, Henry Chen, Adam L. Numis, Adam L. Numis, Renée A. Shellhaas, John R. Mytinger, Debopam Samanta, Rani K. Singh, Rani K. Singh, Shaun A. Hussain, Danielle Takacs, Kelly G. Knupp, Li-Rong Shao, Carl E. Stafstrom

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Efficacy of TIPS plus extrahepatic collateral embolisation in real-world data: a validation study by Chao Chen, Feng Zhang, Hao Wu, Wei Wu, Hui Xue, Yuzheng Zhuge, Chunqing Zhang, Guangchuan Wang, Zhengjie Li, Qiong Wu, Bo Wei, Jun Tie, Xiubin Sun, Lianhui Zhao, Yifu Xia, Jiao Xu, Peijie Li

“…Additionally, the random forest models showed higher accuracy and AUROC comparing to other models. …”
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Using Image-based AI for insect monitoring and conservation - InsectAI COST Action by Tom August, Mario Balzan, Paul Bodesheim, Gunnar Brehm, Lisette Cantú-Salazar, Sílvia Castro, Joseph Chipperfield, Guillaume Ghisbain, Alba Gomez-Segura, Jérémie Goulnik, Quentin Groom, Laurens Hogeweg, Chantal Huijbers, Andreas Kamilaris, Karolis Kazlauskis, Wouter Koch, Dimitri Korsch, João Loureiro, Youri Martin, Angeliki Martinou, Kent McFarland, Xavier Mestdagh, Denis Michez, Charlie Outhwaite, Luca Pegoraro, Nadja Pernat, Lars Pettersson, Pavel Pipek, Cristina Preda, David Rolnick, Tobias Roth, David Roy, Helen Roy, Veljo Runnel, Martina Sasic, Dmitry Schigel, Julie Sheard, Cecilie Svenningsen, Heliana Teixeira, Nicolas Titeux, Thomas Tscheulin, Elli Tzirkalli, Marijn van der Velde, Roel van Klink, Nicolas Vereecken, Sarah Vray, Toke Thomas Høye

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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Editorial by Jörg Tremmel, Maria Lenk, Antony Mason, Markus Rutsche

“…He combines nine indicators: forest degradation rate, share of low-carbon energy consumption, and carbon footprint in the environmental dimension; adjusted net savings, current account balance, and wealth in equality in the economic dimension; and primary pupil-teacher ratio, fertility rate, and GDP-adjusted child mortality in the social dimension. …”
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Considerando la adopción efectiva de sistemas agrícolas en el diseño de esquemas para la promoción en el cultivo de árboles, Costa Rica by Víctor Meza-Picado, Monserrat Romero-Mora, Ronnie de Camino-Velozo, Alfonso Barrantes-Rodríguez

“…[Conclusiones]: El ajuste del esquema de manejo forestal permite una mayor adopción del cultivo de árboles por parte del pequeño productor, pero se reconoció que cualquier propuesta que se realice lograría ser exitosa si la gobernanza forestal flexibiliza y posibilita el cambio. …”
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