Evaluation of novel NaOH/activated carbon/zeolite biocomposite as an efficient adsorbent for oilfield produced water treatment by Eghe Amenze Oyedoh, Onyedikachi Praise Igbokwe

“…The adsorption process was optimized using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) integrated with genetic algorithms. The results indicated a hydrocarbon removal efficiency of 99.86 % with RSM and 99.99 % with ANN under optimal conditions. …”
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An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems by M. Abdulkadir, A. H. M. Yatim, S. T. Yusuf

“…This paper presents a control strategy proposed for power maximizing which is a critical mechanism to ensure power track is maximized. Many tracking algorithms have been proposed for this purpose. One of the more commonly used techniques is the incremental conductance method. …”
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Three-Dimensional Location and Mapping Analysis in Mobile Robotics Based on Visual SLAM Methods by Gustavo A. Acosta-Amaya, Juan M. Cadavid-Jimenez, Jovani A. Jimenez-Builes

“…Two of the most representative algorithms for solving vSLAM were considered (RTAB-Map and ORB-SLAM2). …”
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A flexible multi-scale approach for downscaling GRACE-derived groundwater storage anomaly using LightGBM and random forest in the Tashk-Bakhtegan Basin, Iran by Arezo Mohtaram, Hossein Shafizadeh-Moghadam, Hamed Ketabchi

“…This was accomplished using a robust and flexible multi-scale approach, leveraging machine learning algorithms, specifically random forest and LightGBM. …”
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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

“…Quantum machine learning is a promising programming paradigm for the optimization of quantum algorithms in the current era of noisy intermediate-scale quantum computers. …”
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Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain by Wenbin Yao, Caijun Chen, Hongyang Su, Nuo Chen, Sheng Jin, Congcong Bai

“…In this study, a framework of the key commuting route mining algorithm based on license plate recognition (LPR) data is proposed. …”
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Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details by Andreas Fieselmann, Markus Kowarschik, Arundhuti Ganguly, Joachim Hornegger, Rebecca Fahrig

“…We also discuss practical details that are needed to properly implement algorithms for perfusion analysis. Our description of the practical computer implementation is focused on the most frequently employed algebraic deconvolution methods based on the singular value decomposition. …”
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Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

“…The methodology involves acquiring high-resolution images, employing pre-processing methods to enhance data quality, and implementing state-of-the-art machine-learning algorithms for disease classification. The proposed system seeks to surpass existing methods by achieving higher efficiency in disease detection. …”
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Spare Parts Inventory Optimization for Military Vehicles Using a Mixed Probability Distribution by Mojtaba Salehi, Mojtaba Omidvar, Shohreh Shariati

“…The meta-heuristic method based on the genetic algorithm has been applied to save the total costs. …”
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Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations by Xiaoyue Zhu, Chenyang Li, Xiaoting Wang, Zhipeng Yang, Yupu Liu, Lei Zhao, Xiaoman Zhang, Yu Peng, Xinyi Li, Hongliang Yi, Jian Guan, Shankai Yin, Huajun Xu

“…We trained, validated, and tested models with logistic regression and other 5 machine learning algorithms on the clinical dataset and a community dataset. …”
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Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems by A. Androon, O. V. Tikhonova

“…However, it will be necessary to further optimize the method and develop algorithms for enhancing error probability in the FBMC-OQAM system under real conditions in 5G networks. …”
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A Three-Dimensional Anisotropic Diffusion Equation-Based Video Recognition Model for Classroom Concentration Evaluation in English Language Teaching by Yanghong Liu, Jintao Liu

“…Based on the above face detection and expression recognition algorithms, the classroom concentration analysis system based on expression recognition is designed to achieve real-time acquisition and processing of classroom images, complete student classroom attendance records using face detection and face recognition methods, and analyze students’ concentration from the face integrity and facial expression of students facing the blackboard by combining face detection and expression recognition to visualize and display students’ classroom data for teachers, students, and parents with more data support and help.…”
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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…The performance of the proposed algorithm is compared to traditional algorithms, including the Whale Optimization Algorithm (WOA), Gradient Search with Barrier, and Bayesian Optimization (BO). …”
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Multidimensional Analysis of PANoptosis-Related Molecule CASP8: Prognostic Significance, Immune Microenvironment Effect, and Therapeutic Implications in Hepatocellular Carcinoma by Fei Peng, Fang Zhu, Baodi Cao, Liang Peng

“…We also employed ClueGO, gene set enrichment analysis, and other algorithms for biological enrichment analysis. Results. …”
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Pre-trial investigation in the de-occupied territories: normative regulation and prospects for implementation by T. H. Fomina

“…It is important in this direction to build effective algorithms for pre-trial investigation bodies, the prosecutor’s office, the court, which cannot be implemented without the introduction of new legislative initiatives. …”
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Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering by Xu Chen, Bin Xu, Kunjie Yu, Wenli Du

“…Teaching-learning-based optimization (TLBO) is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. …”
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Haptic Manipulation of Deformable Objects in Hybrid Bilateral Teleoperation System by Juan Manuel Ibarra-Zannatha, Claudia Marmolejo-Rivas, Manuel Ferre-Pérez, Rafael Aracil-Santonja, Salvador Cobos-Guzmán

“…The virtual environment of this hybrid bilateral teleoperation system combines collision detection algorithms, dynamical, kinematical and geometrical models with a position–position and/or force–position bilateral control algorithm, to produce on the operator side the reflected forces corresponding to the virtual mechanical interactions, through a haptic device. …”
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Fractional Partial Differential Equation: Fractional Total Variation and Fractional Steepest Descent Approach-Based Multiscale Denoising Model for Texture Image by Yi-Fei Pu, Ji-Liu Zhou, Patrick Siarry, Ni Zhang, Yi-Guang Liu

“…The experimental results prove that the abilities of the proposed denoising model to preserve the high-frequency edge and complex texture information are obviously superior to those of traditional integral based algorithms, especially for texture detail rich images.…”
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Takagi–Sugeno State Delayed Feedback and Integral Control for PV Systems: Modeling, Simulation, and Control by Hicham El Aiss, Karina A. Barbosa, Hector Chavez, Carlos Rodriguez

“…However, current maximum power point tracking (MPPT) algorithms are generally complex and require electronic components to support variable control gains for different irradiance conditions, preventing simple MPPT implementations suitable for small-scale photovoltaic systems. …”
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A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems by Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

“…The experimental results indicate that AGPSO shows the superior performance over four current MOPSOs (SMPSO, dMOPSO, NMPSO, and MaPSO) and four competitive evolutionary algorithms (VaEA, θ-DEA, MOEA\D-DD, and SPEA2-SDE), when solving most of the test problems used.…”
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