A biomass-driven polygeneration system for electricity, cooling, and desalinated water: Exergoeconomic analysis and multi-objective optimization by Ehsanolah Assareh, Aminhossein Jahanbin, Seyed Mohammad Salehan, Ehsan Darouneh, Umberto Berardi

“…A bi-level multi-objective optimization framework, combining a statistical optimization model with a genetic algorithm (GA), is applied to maximize exergy efficiency while simultaneously minimizing the cost rate and CO2 emissions. …”
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4-D ERT monitoring of oil spill contamination dynamics and remediation planning in southern Nigeria by Stanley Uchechukwu Eze, Difference Odeyovwi Ogagarue, Juyeon Jeong, Myung Jin Nam, Omafume M. Orji, Williams N. Ofuyah

“…A time-dependent evaluation of 3-D ERT models showed a reduction in the apparent resistivity of the contaminant plume during the rainy season compared to the dry season. …”
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Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions by Xinling Wang, Naeim Farouk, Xiaoqing Fu, Pradeep Kumar Singh, Guo Xu, Fahad M. Alhomayani, Baseem Khan, Fawaz S. Alharbi, Barno Sayfutdinovna Abdullaeva, Laith H. Alzubaidi, Yasser Elmasry, Hakim A.L. Garalleh

“…The computational simulation employs the RNG k−ε model. The Coupled algorithm was utilized for the determination of velocity and pressure fields, utilizing second-order discretization for domain partitioning and first-order discretization for other terms. …”
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Oncological alertness in the practice of a primary care dentist by V. V. Shkarin, Y. A. Makedonova, O. Yu. Afanasyeva, A. V. Poroshin, L. A. Devyatchenko

“…The paper presents the algorithm of the dentist's action at an outpatient appointment, demonstrates the clinical cases of patients. …”
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A classification modeling approach for determining metabolite signatures in osteoarthritis. by Jason S Rockel, Weidong Zhang, Konstantin Shestopaloff, Sergei Likhodii, Guang Sun, Andrew Furey, Edward Randell, Kala Sundararajan, Rajiv Gandhi, Guangju Zhai, Mohit Kapoor, Mohit Kapoor

“…Multiple factors can help predict knee osteoarthritis (OA) patients from healthy individuals, including age, sex, and BMI, and possibly metabolite levels. …”
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SAGE2Splice: unmapped SAGE tags reveal novel splice junctions. by Byron Yu-Lin Kuo, Ying Chen, Slavita Bohacec, Ojvind Johansson, Wyeth W Wasserman, Elizabeth M Simpson

“…To test this hypothesis, we have developed an algorithm, SAGE2Splice, to efficiently map SAGE tags to potential splice junctions in a genome. …”
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Rapid in-air ultrasound holography measurement and camera-in-the-loop generation using thermography by Zak Morgan, Youngjun Cho, Sriram Subramanian

“…Finally, we integrate this with holography algorithms to propose a camera-in-the-loop algorithm that employs real-time measurement, enabling targeted data acquisition and on-line training of acoustic holography algorithms. …”
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Analysis of Weak Links in the Mechanized Mining of Underground Metal Mines: Insights from Machine Learning and SHAP Explainability Models by Chengye Yang, Keping Zhou, Jielin Li

“…By leveraging data from 88 stopes at Guangxi Tongkeng Mine over a decade, we constructed a comprehensive dataset encompassing drilling, charging, blasting, ventilation, support, ore drawing, and maintenance. The XGBoost algorithm was employed to model factors influencing stope production capacity (PC), with its parameters optimized using the Marine Predator Algorithm (MPA). …”
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Development and validation of trigger tools in primary care: A scoping review. by Inge Dhamanti, Elida Zairina, Ida Nurhaida, Salsabila Salsabila, Fitri Yakub

“…The sensitivity, specificity, and positive predictive value (PPV) of the final algorithm were critical in determining the validity of each trigger. …”
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Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network by Xiaofei Lu, Shouwang Li

“…To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. By employing the refined stereo-matching algorithm, a 3D reconstruction model was developed to augment 3D environment design and reconstruction accuracy while optimizing the 3D reconstruction effect. …”
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The implementation of random survival forests in conflict management data: An examination of power sharing and third party mediation in post-conflict countries. by Andrew B Whetten, John R Stevens, Damon Cann

“…We provide a brief tutorial introduction to the random survival forest (RSF) algorithm and contrast it to a popular predecessor, the Cox proportional hazards model, with emphasis on methodological utility for political science researchers. …”
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Landing attitude analysis and control of bouncing robots by WU Zhe, ZHOU Zupeng, YANG Quan

“…Finally, a prototype was built to verify the feasibility of using the momentum wheel to change the attitude of the bouncing robot.ResultsThe designed attitude control mechanism based on three orthogonal momentum wheels combined with the integral sliding mode control algorithm can effectively control the attitude of the robot after bouncing, and the proposed robot landing stability criterion can effectively predict the stability of the robot through the current robot state.…”
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Identifikasi Kelayakan Air Minum Dengan Metode Analisis Komponen Utama Berbasis Entropi by Thommy willay, Jimmy Tjen, Paskalia Kartini, Riyadi Jimmy Iskandar

“…The experiment was conducted with 811 water samples, where 645 samples were used to train the model and the rest for validating the model predictive accuracy. Based on experiments conducted, it is confirmed that the proposed algorithm can determine the potability of drinking water samples from synthetic data sourced from India with an accuracy of over 98% for potable water data and 100% for non-potable water data. …”
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Smart watering of ornamental plants: exploring the potential of decision trees in precision agriculture based on IoT by Hafiyyan Putra Pratama, Dewi Indriati Hadi Putri, Hafiziani Eka Putri, Elysa Nensy Irawan, Makna A’raaf Kautsar

“…The machine learning (ML) model with the DTs algorithm can predict the right type of ornamental plants based on the existing land conditions in three watering zones, with an accuracy of 89 %, 90 %, and 91 %, respectively. …”
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Towards solving NLP tasks with optimal transport loss by Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria

“…Loss functions are essential to computing the divergence of a model’s predicted distribution from the ground truth. Such functions play a vital role in machine learning algorithms as they steer the learning process. …”
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Effective 3C Resource Utilization and Fair Allocation Strategy for Multi-Task Federated Learning by Chaofeng Zhang, Mianxiong Dong, Kaoru Ota

“…This algorithm implements predictive control based on historical records. …”
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DNFE: Directed network flow entropy for detecting tipping points during biological processes. by Xueqing Peng, Rui Qiao, Peiluan Li, Luonan Chen

“…Numerical simulation results demonstrate that the DNFE algorithm is robust across various noise levels and outperforms existing methods in detecting tipping points. …”
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Synergistic Framework for Fuel Cell Mass Transport Optimization: Coupling Reduced-Order Models with Machine Learning Surrogates by Shixin Li, Qingshan Liu, Yisong Chen

“…Subsequently, a neural network surrogate model and genetic algorithm are combined to optimize the mass transfer property parameters globally. …”
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X-FuseRLSTM: A Cross-Domain Explainable Intrusion Detection Framework in IoT Using the Attention-Guided Dual-Path Feature Fusion and Residual LSTM by Adel Alabbadi, Fuad Bajaber

“…For cross-domain intrusion detection, this paper proposes a novel algorithm, X-FuseRLSTM, a dual-path feature fusion framework that is attention guided and coupled with a residual LSTM architecture. …”
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Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process by Babatunde Oluwaseun Ajayi, Mayowa Emmanuel Bamisaye, Hugo Miguel Magalhães Macedo, Issara Sereewatthanawut

“…The RF algorithm validates the SD model, while sensitivity analysis enhances robustness. …”
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