Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques by Hadis Ghaedrahmati, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, Mohammadreza Aghaei, Mohammadreza Aghaei

“…The evaluation, using various statistical metrics, shows that the XGBoost algorithm outperforms others, achieving up to 91% accuracy in predicting energy production from PV systems.…”
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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…All the applied models are evaluated using common evaluation metrics, such as accuracy, precision, and the F1 score. …”
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In Situ Monitoring and Numerical Experiments on Vertical Deformation Profiles of Large-Scale Underground Caverns in Giant Hydropower Stations by Hao Wu, Jian Liu, Xiaogang Wang, Lipeng Liu, Zhenhua Tian

“…This vertical response is different to the longitudinal response of excavation deformation surrounding shallow tunnels. …”
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Module Partition of Mechatronic Products Based on Core Part Hierarchical Clustering and Non-Core Part Association Analysis by Shuai Wang, Yi-Fei Song, Guang-Yu Zou, Jia-Xiang Man

“…Secondly, the hierarchical clustering algorithm is used to obtain the module division scheme of different levels of mechatronic products, and the optimal modular scheme is obtained through an evaluation of modularity and a rationality analysis of module structure. …”
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Dynamic externalities of basic medical insurance compensation, health capital accumulation, and economic growth by Xinyue Yuan, Xujin Yang

“…Utilizing the shooting algorithm, we compute equilibrium solutions at each period along the saddle path and analyze the external effects of different compensation strategies. …”
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Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The main contribution of this study is the results of a detailed evaluation of the YOLOv8 and RT-DETR models for real-time EO detection, helping to find trade-offs between the speed and accuracy of each model and emphasizing the need for special datasets and algorithm optimization to improve the reliability of EO detection in autonomous systems.…”
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Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation by Ghada Afifi, Bassem Mokhtar

“…The objective of this research is to propose an efficient computational resource geofencing solution to maximize the QoE of vehicular users requiring computational tasks. We evaluate the efficiency of the proposed resource geofencing algorithm under different realistic operating conditions. …”
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AI-based Assessment of Risk Factors for Coronary Heart Disease in Patients With Diabetes Mellitus and Construction of a Prediction Model for a Treatment Regimen by Zhen Gao, Qiyuan Bai, Mingyu Wei, Hao Chen, Yan Yan, Jiahao Mao, Xiangzhi Kong, Yang Yu

“…The processed data were then input into five different algorithms for model construction. The performance of each model was rigorously evaluated using five specific evaluation indicators. …”
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Evaluación de algoritmos para la estimación del Round-Trip Delay Time y una propuesta de mejora by M. Daniel Docmac, Eduardo I. Silva, Agustín J. González

“…There are no works considering a quantitative evaluation metric, comparing the performance achieved by different algorithms. …”
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Resolving the observe zone: validation of the ESC 0/3-hour and the APACE criteria for NSTEMI triage by Christian Müller, Norbert Frey, Moritz Biener, Evangelos Giannitsis, Pedro Lopez-Ayala, Christoph Reich, Mustafa Yildirim, Christian Salbach

“…The triage protocol allowed an optional third troponin measurement at 3 hours or later to evaluate the performance and safety of two validated triage algorithms used to resolve the OZ.Results Of the 4605 patients, 948 were triaged to the OZ (20.6%). …”
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DynBlock: dynamic data encryption with Toffoli gate for IoT by Mubasher Haq, Ijaz Ali Shoukat, Alamgir Naushad, Mohsin Raza Jafri, Moid Sandhu, Abd Ullah Khan, Hyundong Shin

“…To address these challenges, this paper proposes a lightweight dynamic block cipher (DynBlock) algorithm. DynBlock is specifically suitable for resource-limited devices, and features a dynamic block size (64-128 bits), which is adaptable to symmetric encryption key sizes. …”
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Energy-Efficient Route Planning Method for Ships Based on Level Set by Jiejian Zhu, Haiqing Shen, Qiangrong Tang, Zhong Qin, Yalei Yu

“…To verify the effectiveness of the proposed algorithm, its performance is evaluated through two case studies, comparing energy consumption under different environmental conditions. …”
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Simulation of a Bio-Inspired Flocking-Based Aggregation Behaviour in Swarm Robotics by Samira Rasouli, Kerstin Dautenhahn, Chrystopher L. Nehaniv

“…The performance of the developed system was evaluated under a variety of environments and conditions, such as various obstacles, agent failure, different numbers of robots, and arena sizes. …”
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Errors Impacts of Multi-5G Waveforms in Cognitive Radio Systems by Mokhalad Alghrairi, Aqeel k. Kadhim, Manar Adnan Nassrat, Bayan Mahdi Sabbar, Saad Mutashar

“…Key metrics are used to evaluate the algorithm's performance, and simulation results demonstrate its capability to distinguish between different types of 5G signals.…”
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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

“…We evaluate the proposed algorithm with samples of real T-Drive trajectory data set. …”
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Detection of Rat Pain-Related Grooming Behaviors Using Multistream Recurrent Convolutional Networks on Day-Long Video Recordings by Chien-Cheng Lee, Ping-Wing Lui, Wei-Wei Gao, Zhongjian Gao

“…In this study, we developed and evaluated a deep learning, multistream algorithm to detect pain-related grooming behaviors in rats. …”
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Improved energy efficiency using meta-heuristic approach for energy harvesting enabled IoT network by Rekha, Ritu Garg

“…In this article, we propose an optimization algorithm, based on meta-heuristic, to enhance the energy efficiency of amplify and forward relay IoT networks. …”
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A New Methodology for Optimal Design of Hybrid Vibration Control Systems (MR + TMD) for Buildings under Seismic Excitation by Francisco Da Silva Brandão, Letícia Fleck Fadel Miguel

“…Different control scenarios were evaluated: MR-OFF, MR-ON, CO-LQR, STMD, and CO-LQR (MR + TMD) to determine the best control scenario that can effectively control the structure. …”
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Optimal design of vertical slot fishways by using shallow water equations by Mostafa Kadiri, Mohammed Louaked, Houari Mechkour

“…We proceed with the study of the adjoint system by using the Lax symbolic symmetrizer for hyperbolic systems and pseudo-differential techniques. The numerical resolution of this problem combines two main approaches: The first one relies on the finite volume method with the Roe solver for the spatial and temporal discretization, and the second one uses a minimizing algorithm, the gradient of the objective function, evaluated by an adjoint problem. …”
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Automatic Fall Risk Detection Based on Imbalanced Data by Yen-Hung Liu, Patrick C. K. Hung, Farkhund Iqbal, Benjamin C. M. Fung

“…We assess not only different imbalanced data handling methods but also different machine learning algorithms. …”
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