RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

“…These genes were analyzed using univariate COX and machine learning algorithms to develop a prognostic scoring algorithm. …”
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Harnessing AI for Enhanced Weather Prediction: A Focus on Rainfall by Hira Farman, Noman Islam, Noman Hasany

“…The stacking model method seemed to be less optimal as the results derived from it were not as satisfactory as the ones achieved by the individual modelsAmong all the algorithms experimented with in this work, the best one was AdaBoost. …”
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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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A foundation systematic review of natural language processing applied to gastroenterology & hepatology by Matthew Stammers, Balasubramanian Ramgopal, Abigail Owusu Nimako, Anand Vyas, Reza Nouraei, Cheryl Metcalf, James Batchelor, Jonathan Shepherd, Markus Gwiggner

“…Two independent reviewers extracted study information, clinical/algorithm details, and relevant outcome data. Methodological quality and bias risks were appraised using a checklist of quality indicators for NLP studies. …”
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Impact of climate change over distribution and potential range of chestnut in the Iberian Peninsula by Pedro Álvarez-Álvarez, Adrián Aviñoa-Arias, Adrián Aviñoa-Arias, Emilio Díaz-Varela, José Vicente López-Bao, José Carlos Pérez-Girón

“…The SDMs were constructed using the Random Forest algorithm.Results and DiscussionOur model achieved an accuracy of 86.82%, with high sensitivity (89.91%) and specificity (83.73%). …”
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A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid by Liangliang Guo, Xinrui Liu, Xinyu Li, Rui Wang, Hanwen Ren, Zhiliang Wang, Qiuye Sun

“…In order to realize low-bandwidth communication in sparse communication networks, multi-agent consensus algorithm (MACA) is used to perform local estimation of global mean variables. …”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…We utilized the CRFC algorithm, a random forest-based method for multi-label classification, to predict the presence of various respiratory viruses. …”
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Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…Results: The model utilizes the Exact Greedy Algorithm to classify the spread and impact of the virus in different regions. …”
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Efficacy and safety of new protease inhibitor faldaprevir in treatment of hepatitis C by M. V. Mayevskaya, M. S. Zharkova, V. T. Ivashkin

“…In 88% of previously untreated patients it was possible to reduce treatment duration for triple algorithm (with faldaprevir application) to 12 wks with the subsequent transition to interferon and ribavirin for 12 wks (according to data of STARTVerso1 study). …”
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Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazayuki Honkawa, Yoichiro Horii

“…For tracking, we used our customized tracking algorithm, which minimizes ID switching and ensures continuous identification even in challenging conditions such as occlusions. …”
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Rock fracture mode and acoustic emission characteristics under true triaxial single-sided unloading path by Longpei Ma, Longpei Ma, Chongyan Liu, Guangming Zhao, Guangming Zhao

“…At the same time, in order to analyze the experimental data more thoroughly, the Gaussian mixture model (GMM) clustering algorithm was introduced to perform clustering analysis on the characteristic parameters of acoustic emission, so as to explore the damage and fracture patterns of the unloading rocks. …”
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Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

“…KNN and SVM are Machine Learning classification algorithms, while CNN is a Deep Neural Networks classification algorithm. …”
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

“…This study presents the development and integration of predictive models for the Normalized Difference Vegetation Index (NDVI) and Bare Soil Index (BSI) using the XGBoost algorithm within the North Rift Weather Prediction System (NRWPS) to enhance ecosystem monitoring in Kenya's North Rift region. …”
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Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

“…Furthermore, a modified metaheuristics optimization method based on the renowned particle swarm optimization algorithm is proposed to address the rigorous demands of hyperparameters’ optimization. …”
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Hybrid intelligence framework for optimizing shear capacity of lightweight FRP-reinforced concrete beams by Iman Faridmehr, Moncef L. Nehdi, Mohammad Ali Sahraei, Kiyanets Aleksandr Valerievich, Chiara Bedon

“…Multi-objective optimization was deployed to integrate Genetic Algorithms (GA) and fmincon to optimize beam parameters for maximizing the shear capacity, Vc. …”
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Mathematical modelling and optimization of cutting conditions in turning operation on MDN 350 steel with carbide inserts by Syed Adil, A. Krishnaiah, D. Srinivas Rao

“…Artificial neural networks technique, which is well known for its versatility to model linear as well as non-linear data, is used to express the surface roughness as a function of tool geometrical variables. Genetic Algorithm, which is an advanced optimization technique known for its intricate search for optimal solutions, is used for optimizing surface roughness with optimal combination of the geometrical parameters. …”
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Sustainable synthesis and advanced optimization of Prosopis juliflora biomass catalyst for efficient biodiesel production and environmental impact assessment by Thota S S Bhaskara Rao, Manikandaraja Gnanaprakasam, Rajayokkiam Manimaran, Dhinesh Balasubramanian, Utku Kale, Artūras Kilikevičius

“…Abstract The present research focuses on developing an innovative biochar-based heterogeneous catalyst from Prosopis Juliflora biomass waste using response surface methodology and genetic algorithm (GA) to optimize pyrolysis parameters, achieving a 46.31% PJBC yield from 60 mg of biomass at 790 °C for 60 min. …”
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Deteksi Cepat Kadar Alkohol Pada Minuman Kopi dengan Metode Dielektrik dan Jaringan Syaraf Tiruan by Sucipto Sucipto, Yuyun Rohmawati, Dyah Ayu Widyaningrum, Danang Triagus Setiyawan

“…The back propagation algorithm was used to connect the input of bioelectric properties and output of prediction of alcohol content and pH in liqueur coffee. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on “the Output Regulation and the Kalman Filter as the Signal Generator” by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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