Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League by Vaishnudebi Dutta, Subhomoy Haldar, Prabjot Kaur, Yuvraj Gajpal

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A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources by Jong-Ho Choi, Min-Hyuk Kim, Luan Feng, Chany Lee, Hyun-Kyo Jung

“…To validate the usefulness of the proposed method, comparison between conventional and proposed evaluation metrics was conducted using artificial cortical sources simulated under different noise conditions. …”
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A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks by Na Fan, Zongtao Duan, Guangyuan Zhu

“…However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. …”
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A Seasonal Fresh Tea Yield Estimation Method with Machine Learning Algorithms at Field Scale Integrating UAV RGB and Sentinel-2 Imagery by Huimei Liu, Yun Liu, Weiheng Xu, Mei Wu, Leiguang Wang, Ning Lu, Guanglong Ou

“…Subsequently, these 26 features were screened using the random forest algorithm and Pearson correlation analysis. Thirdly, we applied six different regression algorithms to establish fresh tea yield models for each season and evaluated their estimation accuracy. …”
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Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning by Michael Neuman, Daoud Burghal, Andreas F. Molisch

“…We also find that, in particular, KNN results can be quantitatively and qualitatively different from CNN/MLP and AE. These investigations thus provide insights into meaningful parameter choices for the performance evaluation of new ML algorithms for frequency-domain channel extrapolation.…”
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Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

“…Then, the quality of the fusion images were evaluated subjectively and objectively. In order to evaluate the applicability of different classification algorithms to the classification, the object-oriented classification algorithm which is based on machine learning algorithm, such as KNN, SVM and Random Trees were used to classify the different GF-2 fusion images. …”
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Optimizing spatial normalization of multisubject inner ear MRI: comparison of different geometry-preserving co-registration approaches by Johannes Gerb, Valerie Kirsch, Emilie Kierig, Thomas Brandt, Marianne Dieterich, Rainer Boegle

“…Abstract Spatial normalization of multisubject inner ear imaging data is challenging, due to both substantial intraindividual differences and the small size of the organ compared to other intracranial structures. …”
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Performance Evaluation of Triple Play Services Delivery with E2E QoS Provisioning by Nikolaos Zotos, Evangelos Pallis, Anastasios Kourtis

“…The main scope is to map the traffic prioritization and classification attributes of the core network to the access network in a way which does not affect the E2E QoS provisioning. The performance evaluation will be done by introducing different kinds of traffic scenarios in a saturated and overloaded network environment. …”
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Microcontroller-Based Platform for Lithium-Ion Battery Charging and Experimental Evaluation of Charging Strategies by Laurentiu Marius Baicu, Mihaela Andrei, Bogdan Dumitrascu

“…Experimental validation was conducted using multiple Li-ion cells in various conditions, like new, aged, and deeply discharged, to evaluate charging behavior and safety under different scenarios. …”
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A New Proposal for Intelligent Continuous Controller of Robotic Finger Prostheses Using Deep Deterministic Policy Gradient Algorithm Through Simulated Assessments by Guilherme de Paula Rúbio, Matheus Carvalho Barbosa Costa, Claysson Bruno Santos Vimieiro

“…Observing the torques, it was found that the ANN used different strategies to control the movement in order to adapt to the different trajectories. …”
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Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study by Zhao Ni, Sunyoung Oh, Rumana Saifi, Iskandar Azwa, Frederick L Altice

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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

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Evaluation of ecological environment quality in China's mining areas by remote sensing: A review by LI Feiyue, LI Jun, XIAO Wu, ZHANG Chengye, WANG Shanshan, YANG Junquan, ZHANG Xiaoping, CHENG Yang

“…Potential research opportunities include expanding accessible indicators by remote sensing, constructing a framework for integrated data collection on the surface and underground, improving the data quality of remote sensing indicators, constructing a new indicator system for evaluation using remote sensing, and developing cloud computing algorithms.…”
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Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

“…In total, 346 machine learning models were evaluated, with the most common algorithms being random forest, logistic regression, and gradient boosting. …”
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Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo, Bo Li

“…First, a morphological design space considering the functional characteristics of different modules is designed. Then, an elite genetic algorithm is applied to evolve the morphology within this space, and a proximal policy optimization algorithm is applied to control the space modular robot with evolved morphology. …”
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Autonomous UAV Path Optimization Using Genetic and Multiobjective Evolutionary Algorithms for Effective Data Retrieval in Cache-Enabled Mobile Ad-Hoc WSNs by Umair B. Chaudhry, Chris Ian Phillips

“…The proposed technique is tested across different simulation scenarios, movement models, and parameter configurations and is compared to our genetic algorithm ‘Genetic Algorithm-Aerial Paths’ (GA-AP) counterpart to evaluate its effectiveness.…”
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Prediction of the Gross Motor Function Measure-66 in Ambulant Children with Cerebral Palsy Based on Instrumental Gait Analysis Using Machine-Learning Algorithms by Stephanie Gross, Karoline Spiess, Stefanie Steven, Maja Zimmermann, Eckhard Schoenau, Ibrahim Duran

“…For the prediction of the GMFM-66, different statistical models were used (multiple linear regression and machine learning algorithms). …”
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Multi-Class Skin Cancer Classification Using a Hybrid Dynamic Salp Swarm Algorithm and Weighted Extreme Learning Machines with Transfer Learning by Ramya Panneerselvam, Sathiyabhama Balasubramaniam

“…The DSSA, the best feature selection algorithm enhances the classification accuracy of the WELM. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…The SA-CS algorithm extends SA by preventing entrapment in local minimum and enhancing global exploration. …”
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Solving the problem of power ripples for a multi-rotor wind turbine system using fractional-order third-order sliding mode algorithms by Habib benbouhenni, Adil Yahdou, Abdelkadir Belhadj Djilali, Nicu Bizon, Ilhami Colak, Z. M. S. Elbarbary, Muneer Parayangat

“…The DPC approach based on the FOTOSMC controller was implemented in MATLAB with a comparison to the traditional DPC approach and some related works in terms of response time, jitter, steady-state error, and overshoot. Simulations under different wind conditions are performed to evaluate the designed strategy’s performance and robustness against conventional methods, revealing substantial improvements in dynamic response and stability. …”
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