Comparison of the Accuracy Between Naive Bayes Classifier and Support Vector Machine Algorithms for Sentiment Analysis in Mobile JKN Application Reviews by Erni Septiani, Tubagus M. Akhriza, Mochamad Husni

“…The results of this research showed that the algorithm with the best accuracy was the NBC algorithm using the SMOTE technique with 50% test data and the SVM algorithm without the SMOTE technique with 50% test data. …”
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Using machine learning algorithms to evaluate the performance of electrocoagulation with membrane bioreactor (EC-MBR) for treatment of organic matters in domestic wastewater by Yousif Zakoor, Hatem Gzar

“…Finally, the highest accuracy of the MLR algorithm for COD and BOD is 99.6 for both, whereas the maximum accuracy of the NN algorithm for COD and BOD is 99.2 % and 99.1%, respectively. …”
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Examining Deep Learning Pixel-Based Classification Algorithms for Mapping Weed Canopy Cover in Wheat Production Using Drone Data by Judith N. Oppong, Clement E. Akumu, Samuel Dennis, Stephanie Anyanwu

“…Despite their potential, limited research has focused on the performance of pixel-based deep learning algorithms for detecting and mapping weed canopy cover. …”
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Extract optimization and biological activities of Otidea onotica using Artificial Neural Network-Genetic Algorithm and response surface methodology techniques by Mustafa Sevindik, Celal Bal, Tetiana Krupodorova, Ayşenur Gürgen, Emre Cem Eraslan

“…Abstract In this study, the biological activities of Otidea onotica were investigated using two optimization methods, Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA). The extracts were tested for phenolic content, antioxidant potential, acetylcholinesterase and butyrylcholinesterase inhibitory activities and antiproliferative effects against A549 lung cancer cell line. …”
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An Enhanced Three-Dimensional Wind Retrieval Method Based on Genetic Algorithm-Particle Swarm Optimization for Coherent Doppler Wind Lidar by Xu Zhang, Xianqing Zang, Yuxuan Sang, Xinwei Lian, Chunqing Gao

“…Both simulation analysis and field experiments demonstrate that the GA-PSO algorithm achieves processing speeds comparable to traditional real-time methods, establishing its suitability for real-time, three-dimensional wind retrieval applications.…”
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Signal detection of M-MIMO-orthogonal time frequency space modulation using hybrid algorithms: ZFE + MMSE and ZFE + MF by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The parameters such as bit error rate (BER) and power spectral density (PSD) are analyzed and estimated for the proposed hybrid and conventional algorithms. The proposed algorithms obtained the SNR and PSD gain of 3.2 dB, 3.2 dB, 4.8 dB, and 6.1 dB gain, respectively, for 8 × 8, 16 × 16, 64 × 54, and 256 × 256 MIMO systems. …”
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Development and evaluation of parallel simulated annealing algorithm for reactor core optimization problems [version 2; peer review: 2 approved] by Gregory Delipei, Jake Mikouchi-Lopez, Jason Hou

“…Background The optimization of core loading patterns in nuclear reactors is one of the most studied optimization problems in nuclear engineering due to the enormous economical and safety benefits. Various algorithms such as Genetic Algorithms (GA), Simulated Annealing (SA), and Parallel Simulated Annealing (PSA) have been used in the past for such problems. …”
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Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and <italic>t</italic>-Closeness Based Anonymity Algorithm by Abdul Majeed, Seong Oun Hwang

“…Rigorous experiments are performed on seven real-life benchmark datasets to justify the feasibility of our algorithm. Compared with the state-of-the-art method, our algorithm can lower privacy risks by up to 41.98% and enhance data quality by up to 36.72%. …”
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A diagnostic prediction model for anti-neutrophil cytoplasmic antibody associated vasculitis combined with glomerulonephritis based on machine learning algorithm by Wang Jian-mei, Zhu Ge-li, Cao Chen-lin, Peng Qing-quan

“…ObjectiveTo construct a diagnostic model for anti-neutrophil cytoplasmic antibody （ANCA）-associated vasculitis （AAV） combined with glomerulonephritis using both random forest （RF） and artificial neural network algorithms.MethodsDatasets were downloaded from the GEO and Array Express databases （GSE108113 and GSE104948 as training sets， E-MTAB-1944 as validation sets）. …”
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Finite Element Model Updating for a Continuous Beam-Arch Composite Bridge Based on the RSM and a Nutcracker Optimization Algorithm by Weihua Zhou, Hongyin Yang, Jing Hao, Mengxiang Zhai, Hongyou Cao, Zhangjun Liu, Kang Wang

“…Furthermore, the NOA significantly outperformed both the whale optimization algorithm and the grey wolf optimizer in reducing the error of the first transverse vibration frequency.…”
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Optimizing water demand in citrus orchards: a novel model using evolutionary algorithms on Sentinel-1 time series data by Emilio-José Cabello-Franco, Daniel Antón, Emilio Ramírez-Juidias, Francisco Perea-Torres

“…Employing genetic algorithms and the Weibull distribution, the study incorporated 3D radiation models from backscatter data, a spatial interpretation of water and radiation dynamics, which, in turn, validated CARP-flux’s performance. …”
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Estimating Daily Rice Crop Evapotranspiration in Limited Climatic Data and Utilizing the Soft Computing Algorithms MLP, RBF, GRNN, and GMDH by Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi, Farzaneh Karimpour

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Cost-Based Optimal Allocation of Shunt Capacitors in Radial Distribution Networks Considering Load Types Using Crow Search Algorithm by Stephen W. Mathenge, Edwell. T. Mharakurwa, Lucas Mogaka

“…This study investigates the optimization of capacitor placement and sizing using the Crow Search Algorithm (CSA) to enhance voltage stability, minimize power losses, and reduce operational costs. …”
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An Improved Knowledge-Based Ground Moving Target Relocation Algorithm for a Lightweight Unmanned Aerial Vehicle-Borne Radar System by Wencheng Liu, Yuan Zhang, Xuyang Ge, Yanlei Li, Yunlong Liu, Xiangxi Bu, Xingdong Liang

“…The performance of the proposed improved KB algorithm was evaluated using both simulated and real experimental data.…”
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Optimizing CNC turning of AISI D3 tool steel using Al₂O₃/graphene nanofluid and machine learning algorithms by Leta Daba Gemechu, Dame Alemayehu Efa, Robsan Abebe

“…The findings emphasize the benefits of utilizing Al2O3/graphene nanofluid and machine learning algorithms in CNC turning to improve surface roughness and control temperature.…”
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A novel superframe structure and optimal time slot allocation algorithm for IEEE 802.15.4–based Internet of things by Sangrez Khan, Ahmad Naseem Alvi, Mohammad Zubair Khan, Muhammad Awais Javed, Omar H Alhazmi, Safdar Hussain Bouk

“…The proposed superframe structure comprises of two contention access periods and one contention-free period, where contention-free period precedes both contention access periods with reduced slot size. …”
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Deep Learning-Based Real-Time 6D Pose Estimation and Multi-Mode Tracking Algorithms for Citrus-Harvesting Robots by Hyun-Jung Hwang, Jae-Hoon Cho, Yong-Tae Kim

“…Additionally, we present methods for training an EfficientPose-based model for 6D pose estimation and ripeness classification, and an algorithm for determining the optimal harvest sequence among multiple fruits. …”
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The implementation and appraisal of a novel confirmatory HIV-1 testing algorithm in the Microbicides Development Programme 301 Trial (MDP301). by Ute Jentsch, Precious Lunga, Charles Lacey, Jonathan Weber, Janet Cairns, Gisela Pinheiro, Sarah Joseph, Wendy Stevens, Sheena McCormack

“…This triggered the use of the algorithm which made use of archived serum and Buffy Coat samples. …”
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A Study on the Establishment of a Variable Stiffness Physical Model of Abdominal Soft Tissue and an Interactive Massage Force Prediction Algorithm by Xinyi Tang, Ping Shi, Zhenjie Luo, Sujiao Li, Hongliu Yu

“…In most situations, especially in full-range predictions (with an accuracy of 58.60%), the algorithm outperformed both physical models. This study presents a dual framework that combines biomechanical modeling and data-driven algorithms. …”
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Mapping groundwater potential zone by robust machine learning algorithms &amp; remote sensing techniques in agriculture dominated area, Bangladesh by M. M. Shah Porun Rana, Muhammad Tauhidur Rahman, Md Fuad Hassan

“…These resources of Bangladesh are under tremendous pressure from both natural and human-caused factors. Groundwater is essential for fulfilling water requirements in the agricultural Pabna district of Bangladesh, where over-extraction for local, manufacturing, and farming uses has led to considerable water shortages. …”
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