Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Fram... by H. Ahmed Tahir, Walaa Alayed, Waqar ul Hassan, Thuan Dinh Do

“…LLAMA_V2 was selected for its superior ability to capture complex network dynamics, surpassing traditional AI/ML models. …”
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Nonlocal flat optics for size-selective image processing and denoising by Sandeep Kumar Chamoli, Chunqi Jin, Yandong Fan, Mehdi Kiani, Heedong Goh, Chen Huang, Shuyu Guo, Yuntong Wang, Fei Zhu, Guohua Xing, Bo Li, Tian Bai, Andrea Alù, Wei Li

“…So far, the proposed devices have been focusing on canonical operations, such as differentiations to perform edge detection across all objects in a complex scene. Yet, undesired background noise and clutter can hinder such operations, requiring target selection with digital post-processing which inherently limits the overall accuracy, efficiency and speed. …”
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A Distributed Coalition Selection of Distribution Centers for Delivery Stations by Fan Wu, Ming Yu, Jingya Zhang, Yicheng Fan, Ming Li

“…Unlike centralized optimization methods, the proposed approach enables real-time decision-making with reduced computational complexity while maintaining both system-wide efficiency and individual delivery station satisfaction. …”
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ANALYSIS OF SELECTED TRANSPORTATION NETWORK STRUCTURES BASED ON GRAPH MEASURES by Renata ŻOCHOWSKA, Piotr SOCZÓWKA

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Time Complexity of Training DNNs With Parallel Computing for Wireless Communications by Pengyu Cong, Chenyang Yang, Shengqian Han, Shuangfeng Han, Xiaoyun Wang

“…Since practical wireless systems require retraining due to operating in open and dynamic environments, it is crucial to analyze the factors affecting the training complexity, which can guide the DNN architecture selection and the hyper-parameter tuning for efficient policy learning. …”
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Angle Modulated Artificial Bee Colony Algorithms for Feature Selection by Gürcan Yavuz, Doğan Aydin

“…To present the effectiveness of the problem presentation with angle modulation and to determine the efficiency of the proposed method, six variants of Artificial Bee Colony (ABC) algorithms employ angle modulation for feature selection. …”
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Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System by Zhengnan Lv, Zhenghao Xi

“…The algorithm is based on the correlation dictionary and achieves the efficient and optimal selection of large-scale antenna arrays in the millimetre-wave band. …”
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Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh by Mosaraf Hosan Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Syed Nahin Hossain, Amimul Ahsan, M. M. El-Sergany, Md. Shafiquzzaman, Monzur Alam Imteaz, Mohammad T. Alresheedi

“…This study contributes to the field of environmental science by offering a novel integration of feature selection techniques with ML models to enhance efficiency and cost-effectiveness of water quality monitoring. …”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…Abstract Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. …”
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Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed system is formulated as a Markov Decision Process (MDP), where encryption level selection is driven by a reward function that optimizes the trade-off between energy efficiency and security robustness. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Abstract Unsupervised feature selection (UFS) methods play a crucial role in improving the efficiency of extracting relevant information and reducing computational complexity in the context of big data analysis. …”
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IMPROVEMENT METHODICAL BASES COMPLEX ECONOMIC ANALYSIS OF THE BUILDING ENTERPRISE by R. T. Ismailov, N. F. Navruzbevova

“…It is considered and elaborated contents and intercoupling main stage undertaking the complex economic analysis external and internal ambience of the building enterprise as the main means for reception lacking for decision making of information, all-round, packed and holistic reflecting condition and efficiency to economic activity of the building enterprise. …”
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High-Performance Parallel Simulation of Airflow for Complex Terrain Surface by Kenji Ono, Takanori Uchida

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Quality Attributes and Complex Assessment Methodology of the Asphalt Mixing Plant by Henrikas Sivilevičius, Edmundas Kazimieras Zavadskas, Zenonas Turskis

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Enhancing sustainability in mining by reducing hauling energy consumption through optimization of distance and slope with semi-mobile in-pit crushers and conveyors by Rouzbeh Nikbin, Raheb Bagherpour, Ehsan Purhamadani, Arash Taherinia

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Integrating graph and reinforcement learning for vaccination strategies in complex networks by Zhihao Dong, Yuanzhu Chen, Cheng Li, Terrence S. Tricco, Ting Hu

“…This method is particularly effective in complex environments, where traditional strategies might not be efficient or scalable. …”
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UNSTABLE CRITICAL EQUILIBRIUM IN THE DYNAMICS OF COMPLEX STRUCTURED POPULATION OF STURGEON by V. A. Dubrovskaya, T. N. Solovieva, A. Yu. Perevaryukha

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From Research Project to Research Portfolio: Meeting Scale and Complexity by Jonathan Linton, Nicholas Vonortas

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Complexity of reference consultations for undergraduate and graduate students in an academic library by Naděžda Firsová, Jana Hinke, Luboš Smutka

“…It is also shown that information resources are used consistently, with usage patterns reflecting the complexity of users’ assignments and questions. …”
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Inclusion of complexed trace minerals enhances performance of broiler chickens by Shemil P. Macelline, Peter H. Selle, Sonia Y. Liu, Lane Pineda, Yanming Han, Mehdi Toghyani

“…There were 5 dietary treatments, including a control diet with ZnSO4, MnSO4, and CuSO4 as inorganic trace minerals, while the other 4 dietary treatments consisted of organic or hydroxychloride forms of Zn, Mn and Cu at different inclusion rates as complexed trace minerals. Diets supplemented with complexed trace minerals supported more efficient feed conversion than inorganic trace minerals from 1 to 35 d posthatch. …”
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