Horizontal Control System for Maglev Ruler Based on Improved Active Disturbance Rejection Controller by Gengyun Tian, Chunlin Tian, Jiyuan Sun, Shusen Diao

“…In the simulation, the positioning accuracy can reach ±5 μm, while, in the experiment, the control accuracy can achieve ±2 μm. …”
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Frontier machine learning techniques for melanoma skin cancer identification and categorization: An in-Depth review by Viomesh Singh, Kavita A. Sultanpure, Harshwardhan Patil

“…In contrast to the conventional biopsy method, which is both laborious and costly, machine learning algorithms offer a viable alternative for early detection, reducing the burden on specialists while concurrently augmenting the diagnostic accuracy of skin lesions. …”
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Graph Evolution Rules Meet Communities: Assessing Global and Local Patterns in the Evolution of Dynamic Networks by Alessia Galdeman, Matteo Zignani, Sabrina Gaito

“…From a mesoscopic standpoint, the evolution patterns characterizing communities emphasize a non-homogeneous nature, with each community, or groups of them, displaying specific evolution patterns, while other networks’ communities follow more uniform evolution patterns. …”
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MULTI-TEMPORAL ANALYSIS OF LAND USE CHANGE IN THE MAGDALENA TEQUISISTLAN MICRO-BASIN, OAXACA, MEXICO by Juan Ángel García-Aguilar, Rufino Sandoval García, José Raymundo Enríquez-del Valle, Gerardo Rodríguez-Ortiz, José Cristóbal Leyva López, Judith Martínez de la Cruz

“…Supervised classification was performed with Quantum Gis® 3.6.0 "Maidenhead" software and the K-Means algorithm was used for atmospheric correction, while concordance and precision were calculated with the Kappa index. …”
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Optimizing energy cost in the residential sector through home energy management systems in a smart grid environment by Nabeeha Qayyum, Umar Jamil, Anzar Mahmood

“…This research aims to optimize power usage by reducing peak loads and electricity costs through the integration of RESs, such as solar or photovoltaic (PV) systems, while considering grid limitations, PV capacity, appliance ON/OFF schedules, and time-of-use tariffs. …”
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A Multi-Phase DRL-Driven SDN Migration Framework Addressing Budget, Legacy Service Compatibility, and Dynamic Traffic by Kai Yuan Tan, Saw Chin Tan, Teong Chee Chuah

“…This approach can potentially lower migration costs by up to 64% while achieving network optimization objectives. …”
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THE USE OF NEURAL NETWORKS FOR THE AUTOMATIC ANALYSIS OF ELECTROCARDIOGRAMS IN DIAGNOSIS OF CARDIOVASCULAR DISEASES by G. I. Kachayeva, A. G. Mustafayev

“…However, automatic ECG analysis remains a challenging theoretical and practical task.MethodsA MATLAB 8.6 (R2015b) Neural Network Toolbox was used to simulate artificial neural networksduring the design. A backpropagation algorithm was used for trainingthe neural network. …”
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Mapping the Impact of Spontaneous Streetscape Features on Social Sensing in the Old City of Quanzhou, China: Based on Multisource Data and Machine Learning by Keran Li, Yan Lin

“…For example, proper use of open-interface storefronts, ads, and banners is consistent with the common suggestions, while the excessive pursuit of interface diversity and the use of cultural elements may bring an ambiguous effect. …”
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Integrating Fuzzy C-Means and DBSCAN: A Hybrid Approach to Medical Data Mining by Vikas Kaduskar, Anurag Srivastava, Saif O. Husain, Manish Gupta, Vinod Patil

“…With the help of the density-based clustering algorithm, the model can better identify and manage noise while detecting clusters with varying densities and shapes. …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Nodule detection was done using the Retina-UNet model, while the features were classified using a Support Vector Machine (SVM). …”
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Classification of Continuous Sky Brightness Data Using Random Forest by Rhorom Priyatikanto, Lidia Mayangsari, Rudi A. Prihandoko, Agustinus G. Admiranto

“…Data classified as class-4 have sharp distribution with typical full width at half maximum of 1.5 mag/arcsec2, while distributions of class-2 and -3 are left skewed with the latter having lighter tail. …”
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PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection by Weijia Chen, Jiaming Liu, Tong Liu, Yaoming Zhuang

“…In this paper, we propose PCPE-YOLO, a novel object detection algorithm, specifically designed to address these difficulties. …”
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Digital Twin-Based Online Diagnosis Method for Inter-Turn Short Circuit Fault in Stator Windings of Induction Motors by Yujie Chen, Leiting Zhao, Liran Li, Kan Liu, Cunxin Ye

“…First, an advanced rapid-solving algorithm is employed to establish a real-time digital twin model of the motor under healthy conditions. …”
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Identification of Gene Modules Associated with Low Temperatures Response in Bambara Groundnut by Network-Based Analysis. by Venkata Suresh Bonthala, Katie Mayes, Joanna Moreton, Martin Blythe, Victoria Wright, Sean Tobias May, Festo Massawe, Sean Mayes, Jamie Twycross

“…The construction of a Highest Reciprocal Rank-based gene co-expression network, followed by its partition using a Heuristic Cluster Chiseling Algorithm resulted in 6 and 7 gene modules in sub-optimal and very sub-optimal temperature stresses being identified, respectively. …”
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Capacity Optimization and Location of BESS-SC Hybrid System for Grid Inertia Support With High Wind Power Penetration by Shami Ahmad Assery, Nan Chen, Xiao-Ping Zhang

“…This paper firstly proposes a sizing strategy based on techno-economic analysis using the Genetic Algorithm (GA) optimization technique, which can minimize the cost of the BESS-SC hybrid system while maintaining the Rate of Change of Frequency (RoCoF) within an acceptable limit. …”
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Perfusion Computed Tomography in the Diagnosis of Colonic Diverticular Disease and its Complications by M. V. Timerbulatov, A. F. Itkulov, D. E. Baikov, A. A. Ibatullin, M. M. Khafizov

“…Since PCT is able to detect the difference of microcirculation parameters in inflammatory and malignant processes, it can be used in the diagnostic algorithm to determine further treatment strategy.…”
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Variation Characteristics of Mass-Loss Rate in Dynamic Seepage System of the Broken Rocks by Luzhen Wang, Hailing Kong

“…Then, the optimal coefficients in the function of mass-loss rate were computed using the genetic algorithm. At last, the mass-loss rate in the dynamic seepage system of the broken rocks with consideration of the acceleration factor was calculated using Lagrange discrete element method. …”
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Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products by Zesen Liu, Meng Guo, Weimin Bao, Zhongkui Li

“…Instead, an adaptive planning algorithm is proposed, which computes the product of relaxed partially ordered sets (R-posets) on-the-fly and assigns these subtasks to the agents subject to the ordering constraints. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…It explores AI’s role in diagnostics, personalised treatment strategies, and the optimisation of medical workflows, while critically examining ethical and legal challenges. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…By integrating variational inference with Thompson Sampling, the framework efficiently balances exploration and exploitation, allowing dynamic adjustment of MCS and PRB allocations in response to changing network states. The proposed algorithm achieves sub-linear regret, ensuring convergence toward an optimal policy over time while maintaining robust adaptability. …”
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