Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…Our objective is to jointly assign the optimal amount of transmission energy and the RIS phase shifts to maximize the data rate of the system in the long run. …”
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Optimizing UAV Location for Deployment in Cell-Free Massive MIMO Networks Using a Soft Actor-Critic Reinforcement Learning by Okello Kenneth, Elijah Mwangi, Dominic Bernard Onyango Konditi

“…We employ a hybrid user association mechanism that combines gradient descent and an enhanced K-means algorithm for efficient user-to-UAV cluster assignment. …”
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Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System by Zhiguo Chang, Xuyang Shi, Kaidan Zheng, Yijun Lu, Yunhui Deng, Jiandong Huang

“…This research delves into the prediction of the compressive strength of GePC (CSGePC) employing various soft computing techniques, namely SVR, ANNs, ANFISs, and hybrid methodologies combining Genetic Algorithm (GA) or Firefly Algorithm (FFA) with ANFISs. …”
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Optimistic Multigranulation Roughness of Spherical Fuzzy Set Based on Soft Binary Relations and Its Applications to Multicriteria Decision-Making Problems by Rabia Mazhar, Shahida Bashir, Muhammad Shabir, Mohammed Al-Shamiri

“…Then, by extending this idea, we present optimistic multigranulation roughness of a spherical fuzzy set over dual universes based on multiple soft binary relations. Moreover, a decision-making algorithm depending on these approximations of spherical fuzzy sets is presented, and a practical example to choose a university professor is given. …”
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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble by Qinghong Wang, Tianxing Ma, Shengqi Yang, Fei Yan, Jiang Zhao

“…The data preprocessing method proposed in this study, based on an improved version of the Student t-SNE algorithm, effectively reduced the negative impact of data noise on model performance, enhancing the reliability of predictions. …”
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Scan path visualization and comparison using visual aggregation techniques by Vsevolod Peysakhovich, Christophe Hurter

“…First, fixation points are clustered using the mean-shift algorithm. Second, saccades are aggregated using the Attribute-Driven Edge Bundling (ADEB) algorithm that handles a saccades direction, onset timestamp, magnitude or their combination for the edge compatibility criterion. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

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Wearable damaged clothing fabric image recognition system based on image restoration algorithm by Xu Li, Longlin Zhang

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Diagnosis model for action problems of table tennis beginners based on improved DTW algorithm by Zhiguo Xin

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Wavelet neural network algorithm for hybrid GA in infrared CO2 gas sensor by Jun Wang, Yuanxi Wang

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Research on fusion generation algorithm of visual communication and product design based on AIGC technology by Guoying Chen, Xiaofeng Lan, Kai Liu, Can Cheng

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A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

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A study for method-level code smells detection using machine learning algorithms by Rajwant Singh Rao, Seema Dewangan, Alok Mishra, Manjari Gupta

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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…To address this, this paper proposed a novel deep neural network (DNN) model designed to predict soft power based on educational factors. The proposed method involves collecting global educational data, including international student enrollment, research output, and the presence of top-ranked universities, and using this data to train a DNN model for soft power prediction. …”
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Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer by Niclas Schillo, Andreas Sturm

“…We consider a framework of variational quantum algorithms, quantum circuit learning (QCL), in conjunction with derivation methods, in particular the parameter shift rule, to solve DEs. …”
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A shift from multiple to monocropping farming system in response to change in agroforestry-dominated land use type in East Africa Rift Valley by Mulushewa Fita, Senbetie Toma, Wu Wei, Eshetu Yirsaw, Haile Ketema, Belew Bekele

“…However, in recent years, the ecological benefits of MuCS have been overlooked, while excessive emphasis has been given to monocropping system (MoCS), causing a gradual shift from MuCS to MoCS in agroforestry landscapes. …”
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Algorithm of reconstruction combined midface defects after resection malignant tumors by M. V. Bolotin, A. M. Mudunov, V. Yu. Sobolevsky, V. I. Sokorutov

“…Surgical treatment of malignant tumors of maxilla and midface results to a combined defects of the soft tissues of the face (upper lip, buccal, zygomatic regions), upper jaw, hard and soft palate, retromolar region, orbit, nasoethmoidal complex. …”
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Encryption Algorithm MLOL: Security and Efficiency Enhancement Based on the LOL Framework by Xinyue Zhang, Daoguang Mu, Wenzheng Zhang, Xinfeng Dong

“…Authenticated encryption with associated data (AEAD) schemes based on stream ciphers, such as ASCON and MORUS, typically use nonlinear feedback shift registers (NFSRs) and linear feedback shift registers (LFSRs) to generate variable-length key streams. …”
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Exponential H∞ Synchronization of Chaotic Cryptosystems Using an Improved Genetic Algorithm by Feng-Hsiag Hsiao

“…On the basis of the Improved Genetic Algorithm (IGA), which is demonstrated to have better performance than that of a traditional GA, a model-based fuzzy controller is then synthesized to stabilize the MTDC systems. …”
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