SAMFA: A Flame Segmentation Algorithm for Infrared and Visible Aerial Images in the Same Scene by Jianye Yuan, Min Yang, Haofei Wang, Xinwang Ding, Song Li, Wei Gong

“…In response to the issues of poor flame segmentation performance in the current fire images and the large number of learnable parameters in large models, we propose an improved large model algorithm, SAMFA (Segmentation Anything Model, Fire, Adapter). …”
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Research on fusion generation algorithm of visual communication and product design based on AIGC technology by Guoying Chen, Xiaofeng Lan, Kai Liu, Can Cheng

“…The current field of visual communication and product design is faced with some problems, such as low efficiency of creative inspiration acquisition, cumbersome design process and difficult to meet personalized needs. …”
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ANFIS algorithm for mapping computational data of water reservoir homogenization with air bubble flows by Lioua Kolsi, Iman Behroyan, Moustafa S. Darweesh, Badr M. Alshammari, T. Armaghani, Meisam Babanezhad

“…Abstract Air as an inert gas is usually applied for homogenization and mixing liquids. In the current research, we study a 3-D bubble column reactor (BCR) filled with water by using an Artificial intelligence algorithm (AI) and CFD. …”
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Substantiation of the algorithm for controlling the adjustable electric drive of roller crusher-grinders of forage grain by M. A. Pryshchepau, V. A. Daineko, A. M. Pryshchepava

“…The speed increase occurs as long as the recu-peration current in the parallel-connected DC buses of the frequency converters increases.…”
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Virtual Display System of Geological Body Based on Key Algorithms of Three-dimensional Modelling by Wei Feng

“…In order to study the virtual display system of geological body, the key algorithm of three-dimensional modelling is used to analyze it, and the virtual display scheme of geological body is realized. …”
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TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications by Abiel Aguilar-González, Alejandro Medina Santiago, Jorge Antonio Orozco Torres, J. A. de Jesús Osuna-Coutiño, Madaín Pérez Patricio, Néstor A. Morales-Navarro

“…This makes it possible to reduce algorithmic complexity and increases processing speed. …”
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Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm by Abdullah Saleh Alqahtani, Pravin R. Kshirsagar, Hariprasath Manoharan, Praveen Kumar Balachandran, C. K. Yogesh, Shitharth Selvarajan

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Assessing generalizability of Deep Reinforcement Learning algorithms for Automated Vulnerability Assessment and Penetration Testing by Andrea Venturi, Mauro Andreolini, Mirco Marchetti, Michele Colajanni

“…The research community is trying to propose autonomous or semi-autonomous solutions based on Deep Reinforcement Learning (DRL) agents, but current proposals require further investigations. …”
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Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm by Shui-Hua Wang, Khan Muhammad, Yiding Lv, Yuxiu Sui, Liangxiu Han, Yu-Dong Zhang

“…The alcohol use disorder (AUD) is an important brain disease, which could cause the damage and alteration of brain structure. The current diagnosis of AUD is mainly done manually by radiologists. …”
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An Effective Off-Grid DOA Estimation Algorithm Using Difference Coarrays with Limited Snapshots by Yanan Ma, Jian Wang, Lu Cao, Pengyu Guo, Guangteng Fan

“…Current coarray-based off-grid DOA estimation algorithms experience a significant decline in estimation accuracy with limited snapshots. …”
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Parameter Sensitivity Analysis and Algorithm Improvement of Optimization Scheduling Model for Cascade Pumping Stations by LIU Xiaolian, LI Zhenrong, WANG Xue-ni, ZHAI Yu, ZHANG Lei-ke, GUO Weiwei, TIAN Yu

“…In the optimization results of cascade pumping stations, compared with the current operating scenario, the scheme obtained by TRUN could reduce carbon emissions by 249 485 kg/a, which was better than the optimization results acquired via using RUN、TPSO、PSO、TGA and GA algorithms, confirming that the proposed algorithm was able to serve the optimization operation of cascade pump stations well.ConclusionsThe results demonstrated the proposed TRUN had excellent optimization performance. …”
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Research on a PCA-transformer-based prediction algorithm for gas concentration in working face by YANG Jian, SHU Longyong, ZHANG Shulin, QIN Kai, CUI Cong

“…Current research on gas concentration prediction in working faces of coal mines often suffers from limited feature dimensions and small dataset sizes, making it difficult to extract long-term fluctuation patterns from large-scale time-series data. …”
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Optimizing aerodynamic shape of benchmark problems using an improved Gaussian process regression algorithm by Youtao Xue, Yuxin Yang, Shaobo Yao, Wenwen Zhao, Lihua Chen

“…The current challenges encountered in Surrogate-Based Optimization (SBO) primarily stem from the substantial number of function calls essential for accurate evaluations. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Therefore, this study investigates the effect of soiling (from 1% to 5%) on electrical parameters (open circuit voltage and short circuit current), photovoltaic panel characteristics (cell temperature and module efficiency), and environmental variables (wind speed and irradiance) in the United Arab Emirates based Noor Abu Dhabi Solar Project. …”
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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…The QIL technique improves the search process by selecting three different rime particles rather than relying solely on the current best solution. This selection allows for a more diverse set of candidate solutions, fostering better exploration and reducing premature convergence to local optima. …”
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An Igneous Rock Lithology Identification Method Based on Data-Algorithm Bidirectional-Driven Framework by HAN Ruiyi, SONG Xiaoni, WANG Xinru, GUO Yuhang

“…To address these challenges, this study proposes a Data-Algorithm Bidirectional-Driven Framework (DABDF) for igneous lithology identification. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…Therefore, how to accurately assess the wind energy resources and effectively predict the wind speed has become a key issue to be solved in the current wind energy field. In view of this, the study proposes the Weibull model to model the wind speed data, and then introduces the wolf pack intelligent optimisation algorithm and improves it through the pollination mechanism to improve the accuracy of wind energy resource assessment. …”
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MSM: a scaling-based feature matching algorithm for images with large-scale differences by Qifeng Ge, Xiaoping Du, Chen Xu, Jianhao Xu, Zhenzhen Yan, Xiangtao Fan

“…The results of feature matching experiments demonstrated that the MSM algorithm outperforms current state-of-the-art methods regarding generality and effectiveness in several benchmark tests. …”
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LI-YOLO: An Object Detection Algorithm for UAV Aerial Images in Low-Illumination Scenes by Songwen Liu, Hao He, Zhichao Zhang, Yatong Zhou

“…The experimental results show that the mAP50 of LI-YOLO reaches 76.6% on the DroneVehicle dataset and 90.8% on the LLVIP dataset. Compared with other current algorithms, LI-YOLO improves the mAP 50 by 3.1% on the DroneVehicle dataset and 6.9% on the LLVIP dataset. …”
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Intensity-Based Assessment of Hippocampal Segmentation Algorithms Using Paired Precontrast and Postcontrast MRI by Justin Cramer, Leslie Baxter, Harrison Lang, Jonathon Parker, Alicia Chen, Nicholas Matthees, Ichiro Ikuta, Yalin Wang, Yuxiang Zhou

“…Dedicated hippocampal segmentation algorithms outperformed whole-brain methods.…”
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