Flexible manipulator trajectory tracking based on an improved adaptive particle swarm optimization algorithm with fuzzy PD control by W. Sun, Y. Jin, K. Dai, Z. Guo, F. Ma

“…Simulation results demonstrated that the optimization algorithm significantly enhances efficiency. Specifically, the number of iterations required for the two joints was reduced by 33 % and 54 %, respectively, when compared to the original algorithm. …”
Get full text

Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

“…This will ultimately bridge the current gap in environmental monitoring by facilitating resource tracking and underwater waste assessment. …”
Get full text

UAV Real-Time Target Detection and Tracking Algorithm Based on Improved KCF and YOLOv5s_MSES by Shihai Cao, Ting Wang, Tao Li, Shumin Fei

“…Additionally, on the OTB100 dataset, the proposed algorithm demonstrates significant improvements in distance precision (DP) metrics across four challenging attributes compared to the baseline algorithm, showing a 12.85% increase for scale variation (SV), 16.45% for fast motion (FM), 18.66% for occlusion (OCC), and 17.09% for out-of-view (OV) scenarios. …”
Get full text

Mapping climate change induced forest fire susceptibility using tree-based machine learning algorithms in Bangladesh by Mafrid Haydar, Al Hossain Rafi, Md.Kamran Hasan Khan, Sakib Hosan, Halima Sadia

“…This study employs tree-based machine learning (ML) algorithms to assess Forest Fire Susceptibility in the Chittagong Hill Tracts (CHT) of Bangladesh under current and anticipated climate change scenarios. …”
Get full text

YOLOFIV: Object Detection Algorithm for Around-the-Clock Aerial Remote Sensing Images by Fusing Infrared and Visible Features by Huiying Wang, Chunping Wang, Qiang Fu, Binqiang Si, Dongdong Zhang, Renke Kou, Ying Yu, Changfeng Feng

“…However, motivated by the fact that current object detection algorithms for unimodal aerial remote sensing images fail to achieve around-the-clock object detection. …”
Get full text

Safety-Prioritized Optimization of Asteroid Sample Site Selection Using Genetic Algorithm and Variable Neighborhood Tabu Search by Huan Xie, Jie Chen, Xiongfeng Yan, Yifan Wang, Yaqiong Wang, Qingfan Zhang, Yuanting Xi, Jun Xie, Ming Yang, Yongjiu Feng, Yusheng Xu, Xiaohua Tong

“…This study proposed a new sample site selection method that incorporates a multifactor weight analysis, genetic algorithm (GA), and variable neighborhood tabu search (VNTS) technique. …”
Get full text

Optimization of CO2 water-alternating-gas injection parameters based on an improved hunger game search algorithm by WU Gongyi, SUN Yuxin, SUN Xiaofei, JI Hongming, ZHANG Yanyu

“…The optimal CO2 WAG injection parameters derived from this approach lead to a cumulative oil production of 34.974×104 m³, a 0.213×104 m³ increase over the results from the Hunger Game Search algorithm, and 5.820×104 m³ more than the current CO2 WAG injection parameter scheme. …”
Get full text

Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks by S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

“…It is seen that the proposed RadB_SOA achieves 12.4 % of transmission error, 14.6 % of ranging error, 96.3 % of localization coverage, 98.65 % of PDR, and 21.56 % of energy consumption. • The Radial Bias-Seeker Optimization Algorithm (RadB_SOA) suggested enhances the precision in target localization and optimizes energy usage in wireless sensor networks. • Simulation outcomes reveal improved tracking accuracy, minimized transmission and ranging errors, as well as increased localization coverage over current techniques. • The research presents an extensive evaluation of particle count fluctuations in RBSO, demonstrating enhanced positioning speed and precision with network efficiency.…”
Get full text

Effectiveness of physician-based diagnosis versus diagnostic artificial intelligence algorithms in detecting communicable febrile diseases in Mexico by Enrique Alonso Medina Fuentes, Carmen Alicia Ruíz Valdez, Porfirio Felipe Hernández Bautista, David Alejandro Cabrera Gaytán, Guadalupe Minerva Olivas Fabela, José Alberto Mireles Garza, Olga María Alejo Martínez, Brenda Leticia Rocha Reyes, Alfonso Vallejos Parás, Lumumba Arriaga Nieto, Yadira Pérez Andrade, Leticia Jaimes Betancourt, Gabriel Valle Alvarado, Oscar Cruz Orozco, Mónica Grisel Rivera Mahey

“…Results Diagnostic algorithms were applied to the data of 909 cases. The sensitivities of Mediktor®, an artificial neural network-based algorithm, a medical diagnostic algorithm and a composite diagnostic algorithm were 11.97%, 64.09%, 69.92% and 99.37%, respectively, and the corresponding specificities were 93.43%, 91.24%, 27.01% and 5.11%, respectively. …”
Get full text

A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach by Paola Argiento, Anna D'Agostino, Rossana Castaldo, Monica Franzese, Matteo Mazzola, Ekkehard Grünig, Lavinia Saldamarco, Valeria Valente, Alessandra Schiavo, Erica Maffei, Davide Lepre, Antonio Cittadini, Eduardo Bossone, Michele D'Alto, Luna Gargani, Alberto Maria Marra

“…Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH. …”
Get full text

GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development by Neil Bodagh, Steven Niederer, Mark O’Neill, Rachel Burns, Darwon Rashid, Steven E Williams, Miguel O Bernabeu, Ali Gharaviri, Vinush Vigneswaran, Magda Klis, Irum Kotadia, Malihe Javidi, Kyaw Soe Tun, Adam Barton

“…Clinical Turing tests were conducted to evaluate the fidelity of the synthetic images, and the performance of current AI-ECG algorithms was assessed using synthetic images containing visual imperfections.Results GenECG, an image-based dataset containing 21 799 ECGs with visual imperfections encountered in routine clinical care paired with imperfection-free images, was created. …”
Get full text

Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…Comparison of the prediction map in the validation period with the current situation of urban areas in 2015 showed that the accuracy of an urban growth simulation model based on random forest with a Figure of Merit index of 0.3569 compared to models based on support vector machine and artificial neural network was more accurate in allocating non-urban to urban lands with 0.3496 and 0.3434, respectively.Conclusion: As machine learning algorithms such as artificial neural networks, support vector machines, and random forest are capable of solving non-linear problems, using them is strongly recommended for urban growth simulation. …”
Get full text

Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…The algorithm completes 50 iterations in every test scenario and achieves the top Friedman Ranking score of 1. …”
Get full text

Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…Given these points, the aim of this research is to provide a model for predicting the sensitivity of CEO compensation using meta-heuristic algorithms, specifically genetic algorithms and particle swarm optimization. …”
Get full text

Novel Algorithm to Estimate Fat‐Free Muscle Volumes in Women Using the Urinary Deuterated‐Creatine Dilution Method by Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave‐Gassiot, Jane Cauley, Liang Shen, Eu‐Leong Yong

“…Muscle mass was estimated using the two D3Cr algorithms (D3Croriginal and D3Crmodified) in current use and a newly developed algorithm (D3CrHt‐Wt) incorporating anthropometric variables that estimate fat‐free muscle volumes. …”
Get full text

Efficient Solar Cell Design through Grey Wolf Optimization: Multi-Layer Thickness Optimization for Enhanced Short-Circuit Current Density by Hamed Kargaran, Hassan Alipour, Maryam Amirhoseiny, Ghasem Alahyarizadeh

“…The objective function of the algorithm is to maximize the short-circuit current density. …”
Get full text

Microcontroller-Based Platform for Lithium-Ion Battery Charging and Experimental Evaluation of Charging Strategies by Laurentiu Marius Baicu, Mihaela Andrei, Bogdan Dumitrascu

“…The system integrates a CC/CV charging approach with automatic current regulation, overcharge protection, and reverse polarity detection. …”
Get full text

Joint Fault Diagnosis of IGBT and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval Sliding Mode Observer by Xi Zha, Wei Feng, Xianfeng Zhang, Zhonghua Cao, Xinyang Chen

“…This innovative algorithm effectively differentiates between current sensor faults and open switch faults, enhancing fault detection accuracy. …”
Get full text

Research Progress on Machine Learning Prediction of Compressive Strength of Nano-Modified Concrete by Ruyan Fan, Ankang Tian, Yikun Li, Yue Gu, Zhenhua Wei

“…It reduces trial-and-error efforts and supports mix design optimization. Currently, machine learning is more adept at handling complicated datasets than experimental and traditional statistical models. …”
Get full text

Hyperkalemia management in the emergency department: An expert panel consensus by Zubaid Rafique, Frank Peacock, Terra Armstead, Jason J. Bischof, Joanna Hudson, Matthew R. Weir, James Neuenschwander

“…This article summarizes information on available therapies for hyperkalemia and proposes a hyperkalemia treatment algorithm for the ED practitioner based on the currently available literature and highlights diagnostic pitfalls and evidence gaps.…”
Get full text