A hybrid object detection approach for visually impaired persons using pigeon-inspired optimization and deep learning models by Abdullah M. Alashjaee, Hussah Nasser AlEisa, Abdulbasit A. Darem, Radwa Marzouk

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Anomaly Detection and Performance Analysis With Exponential Smoothing Model Powered by Genetic Algorithms and Meta Optimization by Ali Kerem Guler, Huseyin Fuat Alsan, Taner Arsan

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Tension-sensitive HOX gene expression in fibroblasts for differential scar formation by Minwoo Kang, Ung Hyun Ko, Eun Jung Oh, Hyun Mi Kim, Ho Yun Chung, Jennifer H. Shin

“…Abstract Background Scar formation is a common end-point of the wound healing process, but its mechanisms, particularly in relation to abnormal scars such as hypertrophic scars and keloids, remain not fully understood. …”
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Neuroeducational Environment for Acquisition of Competencies in the Field of End-To-End Digital Technologies (Neurotechnology) in the Conditions of Digital Transformation by M. E. Mazurov, A. A. Mikryukov, V. A. Titov, I. G. Fedorov

“…A methodology for teaching the basics of neurotechnology based on standard and selective neural networks has been developed, which includes the mathematical theory of standard and selective neural networks, a description of the learning process for standard neural networks based on McCulloch-Pitts neurons, as well as selective neural networks based on selective neurons.…”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…Special attention is given to the advantages of machine learning, including improved decision-making efficiency, process automation, and handling large volumes of data. …”
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Theoretical and Methodological Approaches to Collective Memory Analysis in Memory Studies by A. A. Nechaeva

“…Collective memory research helps to uncover the deeply imbedded meaning of the past in the present, to follow the identity development process in various communities, to find narrative structures that define societal foundations. …”
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MULTI-SERVER RERTIAL QUEUEING SYSTEM AS A MODEL OF A MOBILE NETWORK CELL by S. A. Dudin, O. S. Dudina

“…All the system parameters including the total number of servers and the number of reserved servers are influenced by a random environment. The process of the system states is constructed, the ergodicity condition is derived, the stationary distribution of the system states is computed. …”
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应用数值解析结合法求解机器人工作空间体积 by 曹毅, 于心俊, 杨冠英

“…The numerical integration is used to calculate the volume of the workspace, and one example is illustrated to show the process of computation in detail.…”
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A Real-Time Global Re-Localization Framework for a 3D LiDAR-Based Navigation System by Ziqi Chai, Chao Liu, Zhenhua Xiong

“…Moreover, these methods are limited by the requirement of using the same types of sensors in the re-localization process and the process is time consuming. In this paper, a template-matching-based global re-localization framework is proposed to address these challenges. …”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…Gesture recognition technology based on surface electromyography signal (sEMG) has important application value in human-computer interaction, medical rehabilitation, and other fields. …”
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Etiology and patterns of mandibular fractures in cats by Ana C. Castejón-González, Darko Stefanovski, Alexander M. Reiter, Alexander M. Reiter

“…The most common fracture location was the mandibular ramus (51.6%, excluding the condylar process), followed by the condylar process (33.9%). …”
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Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning by Mark S. Bartlett, Jared VanBlitterswyk, Martha Farella, Jinshu Li, Curtis Smith, Anthony J. Parolari, Lalitha Krishnamoorthy, Assaad Mrad

“…These multiscale Π terms represent ratios of the relevant physical quantities governing the flooding process. Since the scaling laws of these dimensionless Π terms encode process similarity across physical scales, these Π terms enhance ML transferability to unseen locations. …”
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Trustworthy Super-Resolution of Multispectral Sentinel-2 Imagery With Latent Diffusion by Simon Donike, Cesar Aybar, Luis Gomez-Chova, Freddie Kalaitzis

“…Contrary to standard latent diffusion, we encode the low-resolution image to condition the diffusion process, forcing better spectral consistency with the input imagery. …”
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A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling by Min Wang, Li Huang, Jingke Yan, Jin Huang, Tao Yang

“…Crowd counting is an important research topic in the fields of computer vision and image processing, with monitoring and management of crowded scenes becoming an increasingly prominent issue. …”
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Multi-Agent Communication for Dynamic Job-Shop Scheduling: A Robust Single-Machine Scheduling Model With Genetic Algorithm Optimization by Hong-Phuc Nguyen, Quang-Hieu Ngo, van-Can Nguyen

“…In this model, each machine is considered an autonomous agent who can communicate with other agents to produce a robust local schedule against uncertain job arrivals, processing times, and disruptive events. When an agent becomes idle, and its queue length exceeds 1, it needs to decide which waiting job should be processed next. …”
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Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem by Maria Fernanda Morales Oreamuno, Sergey Oladyshkin, Wolfgang Nowak

“…Our results show how the information‐theoretic scores complement BME by providing a more complete picture concerning the Bayesian updating process. Additionally, we demonstrate how both RE and IE can be used to objectively compare models that feature different data sets for calibration. …”
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…The performance of HMS-GWO is evaluated on a benchmark suite of 23 functions, showing a 99% accuracy, with a computational time of 3 s and a stability score of 0.9. …”
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Autonomous Maneuvering Decision-Making Algorithm for Unmanned Aerial Vehicles Based on Node Clustering and Deep Deterministic Policy Gradient by Xianyong Jing, Fuzhong Cong, Jichuan Huang, Chunyan Tian, Zikang Su

“…Deep deterministic policy gradient (DDPG) is an effective method to solve such problems, but it is found that complex strategies require extensive computation and time in the learning process. To address this issue, we propose a node clustering (NC) method, inspired by grid clustering, integrated into the DDPG algorithm for the learning of complex strategies. …”
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An Efficient and Expressive Fully Policy-Hidden Ciphertext-Policy Attribute-Based Encryption Scheme for Satellite Service Systems by Jiaoli Shi, Chao Hu, Shunli Zhang, Qing Zhou, Zhuolin Mei, Shimao Yao, Anyuan Deng

“…The access policy using ROBDD is highly expressive but computationally intensive due to its recursive nature. …”
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Advancing symbolic regression for earth science with a focus on evapotranspiration modeling by Qingliang Li, Cheng Zhang, Zhongwang Wei, Xiaochun Jin, Wei Shangguan, Hua Yuan, Jinlong Zhu, Lu Li, Pingping Liu, Xiao Chen, Yuguang Yan, Yongjiu Dai

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