A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Experimental results demonstrated the advantage of the proposed algorithm in various TTTA scenarios, especially its robustness in intricate trajectory situations. …”
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Timing Recovery Algorithm Selection for Duo-Binary Signal Used in Next Generation 25G-EPON by Junqi Xia, Yingchun Li, Tingting Xu, Jian Chen, Yingxiong Song

“…Low complexity and effective symbol timing recovery (STR) algorithm is a serious challenge for high speed NG-EPON system with 25 Gb/s serial bit-rate per channel. …”
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A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions by Arnaud Flanclair Tchouani Njomo, Godpromesse Kenne, Rostand Marc Douanla, Lionel Leroy Sonfack

“…The proposed technique is an improvement of the classical ESC algorithm with an additional loop in order to increase the convergence speed. …”
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Developing a near-infrared spectroscopy calibration algorithm for soil organic carbon content in South Africa by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…Sixty NIR calibration algorithms were developed on a regional scale. The impact of methodological parameters, such as sample state, sampling design, processing and machine learning models, on the root mean square error (RMSE) of the validation statistics was also assessed. …”
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Research on automatic processing system of financial information in colleges and universities based on NLP-KG fusion algorithm by Jin Lei, Mengke Wei, Yiwen She, Weixia Wang

“…Financial data involves sensitive information such as fund receipts and expenditures, faculty and staff salaries, and student tuition, and relevant national laws and regulations also put forward strict requirements for its security and privacy protection. …”
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Application of Artificial Intelligence for the Implementation of Mismatch Negativity Potential Algorithms in Industrial Automated Predictive Maintenance Systems by Alexander Yu. Chesalov

“…The paper also presents the program code for the implementation of the basic MMN algorithm in Python language.Practical significance. …”
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Multi-Objective Optimization for the Low-Carbon Operation of Integrated Energy Systems Based on an Improved Genetic Algorithm by Yao Duan, Chong Gao, Zhiheng Xu, Songyan Ren, Donghong Wu

“…We compared its performance against a multi-objective genetic algorithm, a multi-objective particle swarm algorithm, and a single-objective genetic algorithm. …”
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Improved Polar Current Shell Algorithm for Ocean Current Retrieval from X-Band Radar Data by Yi Li, Zhiding Yang, Weimin Huang

“…This paper presents an improved algorithm for retrieving ocean surface currents from X-band marine radar images. …”
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Implementation of Blockchain Technology for Image Plagiarism Detection Using DCT, AES128, and SHA-1 Algorithms by Filbert Duran, Leonardo, Shickhem, Yennimar

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Reconstruction of porous media pore structure and simulation effect analysis of multi-index based on SNESIM algorithm by Qing Xie, Jiaqi Gao, Xiaochuang Ye, Jia Li, Yifei Song, Siwen Hu

“…It also analyzes the effectiveness, limitations, and applicable conditions of the algorithm. …”
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Heart failure with preserved ejection fraction (HFpEF): phenotypes, diagnostic algorithms, and new therapeutic options by Arnold Péter Ráduly, Máté Balázs Kovács, Máté Balázs Kovács, Attila Borbély

“…The H2FPEF score and the HFA-PEFF algorithm can help to estimate the probability of HFpEF. …”
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Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms by Jose Herrera‐Camacho, Cem Tırınk, Rosa Inés Parra‐Cortés, Lütfi Bayyurt, Rashit Uskenov, Karlygash Omarova, Aizhan Makhanbetova, Kadyrbai Chekirov, Alfonso Juventino Chay‐Canul

“…The LightGBM algorithm also achieved effective results with R2 values of 0.986 and 0.981 on both training and test sets. …”
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Predicting Irrigation Water Quality Indices Based on Data-Driven Algorithms: Case Study in Semiarid Environment by Dimple Dimple, Jitendra Rajput, Nadhir Al-Ansari, Ahmed Elbeltagi

“…As a result, machine learning algorithms can improve irrigation water quality characteristics, which is critical for farmers and crop management in various irrigation procedures. …”
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Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). by Wendy Grant-McAuley, Ethan Klock, Oliver Laeyendecker, Estelle Piwowar-Manning, Ethan Wilson, William Clarke, Autumn Breaud, Ayana Moore, Helen Ayles, Barry Kosloff, Kwame Shanaube, Peter Bock, Nomtha Mandla, Anneen van Deventer, Sarah Fidler, Deborah Donnell, Richard Hayes, Susan H Eshleman, HPTN 071 (PopART) Study Team

“…<h4>Background</h4>Assays and multi-assay algorithms (MAAs) have been developed for population-level cross-sectional HIV incidence estimation. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. …”
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A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention by Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian

“…Compared with mainstream models such as YOLOv5m and YOLOv7x, this method is more advantageous in the balance of accuracy and speed, and can meet the demand of real-time detection in the field. Discussion The algorithm provides an efficient tool for early and accurate identification of citrus Huanglong disease, which is of great practical significance for reducing pesticide misuse and improving the efficiency of orchard management, and also provides new ideas for the design of lightweight target detection models in agricultural scenarios.…”
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Novel Approach for Energy Balancing With Intermittent Renewable Energy Source Using Multi-Objective Genetic Algorithm by Ahmad Shah Irshad, M. H. Elkholy, Nahar F. Alshammari, Gul Ahmad Ludin, Tomonobu Senjyu, Gabor Pinter, Alexey Mikhaylov

“…This combination addresses not only environmental concerns but also the issue of underproduction in hydropower dams. …”
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Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan by Takeo Nakayama, Yusuke Tsugawa, Hiroshi Yoshihara, Memori Fukuda, Sho Okiyama

“…Importance heatmaps of the convolutional neural network were also examined to interpret the algorithm.Results This study included 7710 patients from 64 clinics. …”
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Performance of Ground-Based Solar-Induced Chlorophyll Fluorescence Retrieval Algorithms at the Water Vapor Absorption Band by Yongqi Zhang, Xinjie Liu, Shanshan Du, Mengjia Qi, Xia Jing, Liangyun Liu

“…At the same time, our study also shows that the water vapor band offers higher accuracy in ground-based SIF retrieval compared to the O₂-B band, demonstrating strong application potential and providing valuable references for selecting SIF retrieval algorithms.…”
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Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare by Kamini Lamba, Shalli Rani, Mohammad Shabaz

“…As understanding reasoning behind their predictions is still a great challenge for the healthcare professionals and raised a great concern about their trustworthiness, interpretability and transparency in clinical settings. Thus, an advanced algorithm of explainable artificial intelligence (XAI) has been synergized with hybrid model comprising of DenseNet201 network for extracting the most important features based on the input Magnetic resonance imaging (MRI) data following supervised algorithm, support vector machine (SVM) to distinguish distinct types of brain scans. …”
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