Bio-Inspired Swarm Confrontation Algorithm for Complex Hilly Terrains by He Cai, Fu Ma, Ruifeng Ni, Weiyuan Xu, Huanli Gao

“…This paper explores a bio-inspired swarm confrontation algorithm specifically designed for complex hilly terrains in the context of electronic games. …”
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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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Firefly Algorithm based Feature Selection for Arabic Text Classification by Souad Larabi Marie-Sainte, Nada Alalyani

“…The results confirm the efficiency of the proposed feature selection method in improving Arabic Text Classification accuracy. …”
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COMPLEX INVESTIGATIONS OF THERMALPHYSIC AND INFRA-RED CHARACTERISTICS AT THE PHASE INVERSIONS by V. L. Dragun, N. I. Stetukevich, V. F. Shevtsov, M. V. Hilko

“…The complex methods of investigation of heat exchange at crystallization and melting of selectively transparent materials in terms of changing of external heat influences, which include calorimetry of IK-currents, temperature taking, the heat conduction coefficient, ultrasound speed, are developed. …”
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Reliability analysis of wireless communication equipment based on model selection by SUN Jin, HU Jicheng, JIAO Yaqi, WANG Kun

“…The research of equipment failure distribution is the basis of reliability engineering. In view of the complex structure and failure mechanism of wireless communication equipment, numerous failure distribution types, difficulty in selecting and evaluating reliability models and other problems, this paper starts from the research on equipment failure distribution at the bottom level, takes typical wireless communication system vehicle self-organizing network equipment as the research object, and compares and analyzes the correlation coefficients and error values of equipment life exponential distribution, lognormal distribution and two-parameter Weibull distribution. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. …”
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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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The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Abstract This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). …”
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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

“…In this paper, the 1:1 complex model of commercial vehicle is taken as the research object to study the passive drag reduction of the commercial vehicle. …”
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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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THE USE OF GENETIC RESOURCES TO INCREASE THE EFFICIENCY OF POTATO BREEDING by E. A. Simakov, V. A. Zharova, A. V. Mityushkin, V. A. Biryukova, E. V. Rogozina, S. D. Kiru

“…This provides the possibility to identify transgressive recombinants and increases the efficiency of selection of new promising varieties with different maturity and target use.…”
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EIM: A Novel Evolutionary Influence Maximizer in Complex Networks by Vahideh Sahargahi, Vahid Majidnezhad, Saeid Taghavi Afshord, Yasser Jafari

“…This article introduces a double-chromosome evolutionary algorithm to tackle this challenge efficiently. This method introduces a smart operator for stochastic selection based on the node degree to initialize the primary solutions. …”
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Economic efficiency of breeding and seed production in vegetable crops by A.N. Chuprov, D.S. Novikov, S.S. Pronin

“…At All-Russian Research Institute of Vegetable Breeding Production where the results of this complex system work can be exemplified. Cost efficiency of selection and seed production is analyzed, and methods of its perfection are offered. …”
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Complex interspecific and intersexual patterns of wing design in Heliconius butterflies by Luis Mendoza-Cuenca

“…The results highlight the complexity of traits involved in the evolutionary designs of wings in Lepidoptera.…”
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High-Performance Parallel Simulation of Airflow for Complex Terrain Surface by Kenji Ono, Takanori Uchida

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Persian Learners Mastering Kanji: Strategies, Use, and Efficiency by Zeinab Shekarabi, Fatemeh Tajfirooz

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A YOLO-Based Method for Head Detection in Complex Scenes by Ming Xie, Xiaobing Yang, Boxu Li, Yingjie Fan

“…Secondly, it was found in practical operations that the original IoU function has a serious problem with overlapping detection in complex scenes. There is an IoU function that can ensure that the final selection boxes cover the object as accurately as possible without overlapping. …”
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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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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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The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction by Elisavet Beki, Ntotsis Kimon

“…However, Partial Least Squares can be a challenging procedure especially in the case of multivariate multiple regression due to data characteristics and complexity. Thus, in this work we propose the use of Partial Least Squares method as a variable selection technique in linear regression tasks that involve high dimensional spectral data sets. …”
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