A UAV path planning algorithm for bridge construction safety inspection in complex terrain by Wenyuan Xu, Chuang Cui, Yongcheng Ji, Xiang Li, Shuai Li

“…Ultimately, employing adaptive t-distribution and lens imaging reverse learning facilitates the evasion of local optima within the current position by the SO algorithm, thus augmenting its exploratory prowess. …”
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Research on Finger image Enhancement Algorithm Based on Fusion Histogram Equalization and Homomorphic Filtering by ZHAO Chun li, DONG Jing wei, XU Bo, MA Xiao feng

“…In order to improve the shortcomings of the current fog algorithm, the histogram equalization algorithm and the homomorphic filtering algorithm are combined to enhance the fog image.First, the improved homomorphic filtering algorithm is used to correct the brightness of the illumination uneven image, and the nonlinear problem is linearized by the logarithmic operation. …”
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Electronic invoice public verification scheme based on SM2 coalition signature algorithm by Yurong LUO, Jin CAO, Hui LI, Xingwen ZHAO, Chao SHANG

“…In order to solve the current problems of electronic invoices, such as anti-counterfeiting, privacy leakage and low verification efficiency, an electronic invoice public verification architecture based on the national signature algorithm was proposed.Electronic invoice documents have complex data sources, sensitive user information on the ticket surface, frequent data flow and other characteristics as well as the demand for efficient public verification.Based on these motivations, the e-invoice generation and verification protocol was designed.Besides, a signature code generation scheme for invoice anti-counterfeiting was proposed based on certificate-free joint signature.Then multiple data verification and signatures of the invoicing party and the taxation authority can be realized.All kinds of invoice holders can not only verify the authenticity and data integrity of electronic invoices, but also publicly check the authenticity and data integrity of electronic invoices.The integration of data encryption algorithms protects user privacy data in electronic invoices, and at the same time can fulfill the requirements for authenticity or status verification under various invoice application scenarios.The checking party only needs to verify one signature to confirm the authenticity of the electronic invoice signed by both parties.Scyther security simulation tools were used to analyze the security of the proposed solution, which can verify the integrity and authenticity of the data source and check the confidentiality of the privacy data under various types of attacks.Compared with a typical overseas e-invoice checking scheme and a similar digital signature-based e-invoice checking scheme, the proposed scheme has obvious advantages in terms of checking efficiency and invoice file size.…”
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Pasireotide-induced hyperglycemia in Cushing’s disease and Acromegaly: A clinical perspective and algorithms proposal by Przemysław Witek, Marek Bolanowski, Adam Krętowski, Aleksandra Głowińska

“…The aim of this study was to review previous recommendations regarding the management of pasireotide-induced hyperglycemia in patients with CD and acromegaly and to propose efficient monitoring and treatment algorithms based on recent evidence and current guidelines for type 2 diabetes treatment. …”
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Control of Three-to-Five-Phase Matrix Converter Using Carrier-Based PWM Algorithm by Said M Allam, Sherif M Dabour, Essam M Rashad

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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…It is recommended that the interpretation of model consistency should also consider MAE, MAPE, MSE, and RMSE values. In the current study, all machine learning algorithms yielded similar and lower performance metrics. …”
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A Malware Detection Method Based on Genetic Algorithm Optimized CNN-SENet Network by Zheng Yang, Hua Zhu, Zhao Li, Gang Wang, Meng Su

“…With the popularization of smart terminals and the gradual increase of power grid informatization and digitization, the protection of power monitoring systems from various cybersecurity threads is a current scientific problem that needs to be solved urgently. …”
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DScanNet: Packaging Defect Detection Algorithm Based on Selective State Space Models by Yirong Luo, Yanping Du, Zhaohua Wang, Jingtian Mo, Wenxuan Yu, Shuihai Dou

“…Through experiments on its own dataset, BIGC-LP, DScanNet achieves a high accuracy of 96.8% on the defect detection task compared with the current mainstream detection algorithms, while the number of model parameters and the computational volume are effectively controlled.…”
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Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies by MD Shahriar Mahmud Bhuiyan, MD AL Rafi, Gourab Nicholas Rodrigues, MD Nazmul Hossain Mir, Adit Ishraq, M.F. Mridha, Jungpil Shin

“…Algorithmic trading has revolutionized financial markets, offering rapid and efficient trade execution. …”
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COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm by Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…This study compared four clustering algorithms using the WEKA tool. Furthermore, it details the datasets in terms of different variables of precision, cluster case, number of iterations, time, and present the findings of these papers, and which clustering algorithms used and the accuracy of these algorithms. …”
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A Lightweight Pavement Defect Detection Algorithm Integrating Perception Enhancement and Feature Optimization by Xiang Zhang, Xiaopeng Wang, Zhuorang Yang

“…To address the current issue of large computations and the difficulty in balancing model complexity and detection accuracy in pavement defect detection models, a lightweight pavement defect detection algorithm, PGS-YOLO, is proposed based on YOLOv8, which integrates perception enhancement and feature optimization. …”
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HYBRID FIREFLY AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DESIGN OF NON-LINEAR CHANNEL EQUALIZER by Vundavalli Ravindra, Pradyumna Kumar Mohapatra, Ravi Narayan Panda, Saroja Kumar Rout

“…As measured by BER and MSE, the simulation results verify that the suggested training scheme outperforms current metaheuristic algorithms by a significant margin.…”
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Improving automated scoring of prosody in oral reading fluency using deep learning algorithm by Kuo Wang, Xin Qiao, George Sammit, Eric C. Larson, Joseph Nese, Akihito Kamata

“…This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network. The current work focuses on cross-domain performance, researching how generalizable the prosody scoring is across students and text passages. …”
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THE NUTRI-SCORE SYSTEM FOR FRONT-OF-PACK NUTRITIONAL LABELLING: ALGORITHM UPDATES, BENEFITS, AND RISKS by Anna T. Mikulec, Anna M. Platta

“…In 2024, a revised Nutri-Score algorithm has come into effect, aiming to better reflect current dietary recommendations through changes in product classification. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…Additionally, the number of parameters of current model is large that makes it is hard to be deployed on mobile devices. …”
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A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm by Mohammad Subhi Al-Batah, Mohammad Ryiad Al-Eiadeh, Yazan Alnsour

“…Computer vision plays a crucial role in current day tasks due to its wide range of merits and applications in many fields like disease diagnosis, medical decisions, military, security, scientific applications, and business. …”
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A novel adaptive PID controller with new seesaw algorithms using alternative derivatives by Juan Pablo Manzo Hernández, Julio César Solano Vargas, Juan Manuel Barrera Fernández, Daniel Moreno Orduña, Cristian Hamilton Sánchez Saquín

“…Nevertheless, while some require system models, training data, rules establishment, extensive iterations, and demanding computational resources, the [Formula: see text] and the novel [Formula: see text] controller do not. The new seesaw algorithms propose alternative behaviours based on the current error and its derivative, which are dynamic parameters that change over time. …”
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Flow direction algorithm for optimal coordination of directional overcurrent relays considering arc flash by Dina K. Mahmoud, Shady H．E．Abdel Aleem, Ahmed M. Ibrahim, Mahmoud M. Sayed, Wael Abdelfattah

“…The decision variables of this optimization problem are considered as the time dial setting and the pickup current or the plug setting. The effectiveness of the FDA method is verified by comparing it with well-known methods such as Gravitational Search Algorithm, Imperialistic Competition Algorithm, Sine Cosine Algorithm, and Harmony Search Algorithm. …”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) with an irregularly changing pareto set. …”
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Defect Detection Algorithm for Electrical Substation Equipment Based on Improved YOLOv10n by Qingkai Meng, Tianren Fu, Kangning Li, Long Huang, Shaoqiang Chen

“…Addressing the shortcomings of current algorithms in small target detection, complex background processing, and the balance between real-time and accuracy, this paper proposes several key improvements to the YOLOv10n framework to address these limitations. …”
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