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

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EXPERIMENTAL STUDY OF FURCATION AREA AND PROSPECTS OF ITS COMPLEX TREATMENT by Yu.V. Sidash, O.P. Kostyrenko, V.N. Petrushanko

“…The photosensitizer 2% methylene blue at the exposure of 30s demonstrates the highest efficiency at the minimum staining of surrounding fabrics. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

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SURGICAL METHODS IN THE COMPLEX TREATMENT OF ORTHOPEDIC PATIENTS IN PERMANENT BITE by V. І. Kutsevliak, О. V. Liubchenko, Yu. H. Danilova, V.V. Starikov

“… The article presents the experimental and clinical substantiation of new solutions in orthodontics improving the efficiency and reducing the time of orthodontic treatment of patients in permanent occlusion combined method, by applying corticotomy and devices of its own design, building on mini implants, with the use of physical factors and medicines. …”
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Performance Analysis of Wireless Cooperative Networks with Iterative Incremental Relay Selection by S. Poursajadi, M. H. Madani

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Selected Topics on Business Information Systems: Editorial Introduction to Issue 11 of CSIMQ by Kurt Sandkuhl

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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing. Band selection (BS) is an important preprocessing step for HSI applications, and it plays an important role in reducing data volume and improving processing efficiency. …”
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Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

“…Given the complex dynamics of urban mobility, strategically selecting a transportation mode can significantly mitigate delays and enhance overall productivity in densely populated areas. …”
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