A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System by Guijun Han, Xinrong Wu, Shaoqing Zhang, Zhengyu Liu, Ionel Michael Navon, Wei Li

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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach by Luc J. W. Evers, Yordan P. Raykov, Tom M. Heskes, Jesse H. Krijthe, Bastiaan R. Bloem, Max A. Little

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Cloud and IoT based smart agent-driven simulation of human gait for detecting muscles disorder by Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi

“…Existing analysis applications, designed for other purposes, often lack essential software engineering features such as a user-friendly interface, infrastructure independence, usability and learning ability, cloud computing capabilities, and AI-based assistance. This research proposes a computer-based methodology to analyze human motion and differentiate between healthy and unhealthy muscles. …”
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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm by João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

“…The survey also provides a discussion on the application of computational intelligence, with a strong emphasis on evolutionary computation techniques, to solve complex problems where traditional approaches usually fail. …”
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Enhancing Deepfake Detection Through Quantum Transfer Learning and Class-Attention Vision Transformer Architecture by Bekir Eray Katı, Ecir Uğur Küçüksille, Güncel Sarıman

“…The advantages of quantum computing offered by QTL were merged with the global feature extraction capabilities of the CaiT. …”
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks by Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan

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Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System by Bo Zhao, Weijia Shi, Ming Zhang, Jiaxin Li, Feng Li

“…The DRC term can improve the robustness of the system, which is used to reject the direct disturbance and the parameter estimation error. Furthermore, the computing time and the influence of the measurement noise can be reduced effectively by reason of desired compensation. …”
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A Multi-granularity Decomposition Mechanism of Complex Tasks Based on Density Peaks by Ziling Pang, Guoyin Wang, Jie Yang

“…Inspired by the idea of granular computing and the characteristics of human cognitive process, this paper proposes a complex tasks decomposition mechanism based on Density Peaks Clustering (DPC) to address complex tasks with an unsupervised process, which simulates the multi-granular observation and analysis of human being. …”
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A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition by Ziyi Zhao, Zhentan Quan, Huaze Tang, Qinghao Xu, Hongfa Zhao, Zihan Wang, Ziwu Song, Shoujie Li, Ishara Dharmasena, Changsheng Wu, Wenbo Ding

“…A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources. The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.…”
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Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…The study first employed one sample t-tests which showed that, though these instructors held significantly stronger beliefs about active learning methods than the expected level, they reportedly implemented active learning methods slightly less frequently than the expected level. Then, after computing means and standard deviations for each of the two groups of respondents (31 HDP participants and 27 non-participants), multivariate analysis of variance (MANOVA) was applied to compare the difference between HDP participants and non-participants in their beliefs and practice of active learning methods (when both dependent variables considered together). …”
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Examining the landscape transformation and temperature dynamics in Pakistan by Awais Ali, Bilal Hussain, Riaz Ul Hissan, Khalid M. Al Aiban, Magdalena Radulescu, Cosimo Magazzino

“…To analyze the landscape transformation and temperature dynamics, the study used spectral indices including Land Surface Temperature, Normalized Difference Vegetation Index, Normalized Difference Water Index, Normalized Difference Built-up Index, and Normalized Difference Bareness Index by employing Google Earth Engine cloud computing platform. The results suggest that there are differences in the type of land surface temperature, ranging from 15.58 °C to 43.71 °C during the study period. …”
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Genetic Risk Prediction for Normal-Karyotype Acute Myeloid Leukemia Using Whole-Exome Sequencing by Seong Gu Heo, Eun Pyo Hong, Ji Wan Park

“…We conducted stepwise genetic risk score (GRS) models composed of the NK-AML susceptible variants and evaluated the prediction accuracy of each GRS model by computing the area under the receiver operating characteristic curve (AUC). …”
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Digital Sovereignty in times of AI: between perils of hegemonic agendas and possibilities of alternative approaches by Alexandre Costa-Barbosa, Bianca Herlo, Gesche Joost

“…These visions challenge the mainstream by emphasizing autonomy, inclusion, and sustainability in managing critical AI resources, including computing, databases, data, and algorithm governance. …”
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Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

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DDC_Calc, software to diagnose developmental dysplasia of the hip in infants (version 1) by José Julio Requeiro Molina, Ernesto Pérez Pérez, Ana María Machado Consuegra, Karina Leonor Fernández Sánchez, Roberto Díaz Amador, José Julio Requeiro Morejón

“…<br /><strong>Methods</strong>: a technological innovation study was carried out during 2019, at the Paquito González Cueto University Pediatric Hospital, in Cienfuegos, specifically in the Orthopedics Service and with the specialists’ contribution from the "Marta Abreu" Central University’ Mathematics, Physics and Computing Faculty, Las Villas. The Viola-Jones artificial vision algorithm was used for the detection of the structures, as well as a rule-based system with a view to a diagnostic suggestion. …”
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Speciation of heavy metals in coastal water of Qeshm Island in the Persian Gulf by A.R. Karbassi, S. Tajziehchi, H. Khoshgalb

“…Oil type, climatic condition and characteristics of oil tanks are among the main variables in computing evaporative losses. The present study brings out the results of a project that was carried out to investigate the adverse effects of oil terminal on coastal waters of Qeshm Island and aims to elaborate on speciation of metals in coastal waters. …”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Three AI systems were tested on different datasets to forecast plant stress by analyzing leaves due to technical constraints. CNN’s accuracy and computing speed make it ideal for precision farming. …”
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Development of Interactive Learning Media Using Google Sites for Thermochemistry Courses by Restika Pamungkasih, Erlina Erlina, Ira Lestari, Tulus Junanto, Maria Ulfah, Dinna Nina Mohd Nizam

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Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System by Nafeesa kalsoom, Iftikhar Ahmad, Roobaea Alroobaea, Muhammad Ahsan Raza, Samina Khalid, Zaheed Ahmed, Ihsan Ali

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