A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems by Li Duan, Jingxian Zhou, You Wu, Wenyao Xu

“…Finally, Tomek-Recursion Borderline Synthetic Minority Oversampling Technique generates additional minority samples to achieve class balance, and an improved gradient boosting decision tree algorithm is used to train and establish an abnormal traffic detection model to improve the detection of unbalanced botnet data. …”
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Presence of Heavy Metals in over the Counter Teeth Whitening Products– An Evaluative Study by Chitra Ravi, Sendhilkumar Muthappan, Manickam Ponnaiah, Deepika Chandrasekaran, Sowmiya Murugavel, Jimson Samson

“…Background: Dentistry plays a crucial role in shaping the facial aesthetics of a person and thus boosts self-esteem. Tooth discolouration is one of the significant cosmetic problems and hence, many teeth whitening products are widely used for discolouration. …”
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Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System by Mohamed Shili, Salah Hammedi, Mahmoud Elkhodr

“…This integrated approach not only improves the online shopping experience but also introduces new opportunities for location-specific marketing strategies, boosting the effectiveness of targeted advertising. …”
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Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

“…Random forest (RF) and gradient boosting (GBT) are optimal and selected to conduct quantitative analysis of the main controlling factors. …”
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Development and Functions of the Infant Gut Microflora: Western vs. Indian Infants by Lalit Bharadia, Neha Agrawal, Nandan Joshi

“…Furthermore, formulation of prebiotics and probiotics for boosting infant immunity in a specific population also requires prior knowledge of the normal gut microflora in a healthy infant in that population. …”
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Deciphering the Immune Subtypes and Signature Genes: A Novel Approach Towards Diagnosing and Prognosticating Severe Asthma Through Interpretable Machine Learning by Yue Hu, Yating Lin, Bo Peng, Chunyan Xiang, Wei Tang

“…We employ single-sample gene set enrichment analysis (ssGSEA) and Least Absolute Shrinkage and Selection Operator (LASSO) algorithms to identify differentially expressed immune cells and utilize machine learning techniques, including Extreme Gradient Boosting (XGBoost) and random forest, to predict severe asthma outcomes and identify key genes associated with immune cells. …”
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Effectiveness of a Simplified ESP Curriculum for Adult Learners by Khalid A. Alghamdi

“…By focusing on essential language skills and reducing cognitive load, the simplified curriculum not only improved language proficiency but also boosted learner motivation and engagement. These findings have important implications for ESP educators and curriculum designers, suggesting that simplified, goal-oriented programs can yield superior outcomes for adult learners.…”
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Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study by Zainab Abdulelah Al Sudani, Golam Saleh Ahmed Salem

“…In this study, four machine learning (ML) modeling approaches, extreme learning machine (ELM), gradient boosting machine (GBM), quantile random forest (QRF), and Gaussian process regression (GPR), have been developed to estimate the monthly evaporation loss over two stations located in Iraq. …”
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New Discoveries in Enantiomeric Separation of Racemic Tofisopam by Miklós Hunor Bosits, Emese Pálovics, János Madarász, Elemér Fogassy

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Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

“…The research evaluated five classification models: Naive Bayes, Support Vector Machine (SVM), Logistic Regression, Random Forest, and Gradient Boosting. Among these, SVM achieves the highest overall accuracy of 90%. …”
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Interpretable Machine Learning Insights into the Factors Influencing Residents’ Travel Distance Distribution by Rui Si, Yaoyu Lin, Dongquan Yang, Qijin Guo

“…A machine learning framework (Extreme Gradient Boosting combined with Shapley Additive Explanations) is introduced to interpret the factors influencing these distributions. …”
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Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control by Shuangshuang Fan, Yanbo Shen, Shengnan Peng

“…In order to overcome the limitations of the credit card scoring model and evaluate credit risk better, this paper proposes a credit evaluation model based on extreme gradient boosting tree (XGBoost) machine learning (ML) algorithm to construct a credit risk assessment model for Internet financial institutions. …”
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Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window by Jin He, Yinzhen Li, Yuhong Chao, Ruhu Gao

“…Neighborhood solution strategies include the increase or haut of train operations and the adjustment of the number of stops, which refines the solution space and boosts the process efficiency of the heuristic algorithm. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. …”
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The Efficacy of Monetary and Fiscal Policies on Economic Growth: Evidence from Thailand by Pathairat Pastpipatkul, Htwe Ko

“…This study makes an empirical contribution to the ongoing debate on the effectiveness of MP and FP in boosting growth and aiding in the recovery from recessions in the case of Thailand. …”
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A numerical assessment of the heterogeneous effects of innovative shroud profiles for horizontal axis wind turbine by Hossam Hamid, Rafea Mohamed Abd El Maksoud

“…When looking for effective and affordable systems, the diffuser-augmented turbine appears to have a potential role in boosting power output and lowering system costs, especially at low speeds. …”
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Globalization and Its Implications on the Growth of Small Medium Enterprises (SMEs) in Western Uganda: A Case of Selected Districts in Western Uganda by Eton, Marus, Ayiga, Natal, Constant, Okello Obura, Fabian, Mwosi, Gilbert, Uwonda

“…There is also need to examine the extent to which Uganda’s membership to the East African Community boosts growth of SMEs since all the member countries have almost similar competitive economic advantages. …”
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Metaheuristic-based optimal energy assessment of hybrid multi-effect evaporator with synergy of solar and wind energy sources by Smitarani Pati, Nandan Kumar Navin, Om Prakash Verma, Dwesh Kumar Singh, Tarun Kumar Sharma, Saurabh Agarwal, Santos Gracia Villar, Luis Alonso Dzul Lopez, Imran Ashraf

“…Further, SE enhancement is achieved by integrating flash tanks that capture and reuse excess heat, which boosts SE by an additional 5.89%, leading to a total improvement of 73% without additional energy consumption. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…Random forest (RF), stochastic gradient boosting (SGB), and XGBoost algorithms were used. The best predictive performance was obtained with the XGBoost algorithm, followed by SGB and RF, respectively. …”
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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…Additionally, innovative device designs and charge mechanisms have evolved to improve charge generation and transfer mechanisms, thereby boosting TENG output. This review examines recent progress in methods to improve the power output and power density of TENGs. …”
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