A novel framework for assessing shrublines and their geophysical constraints in alpine regions through probabilistic vegetation mapping and seed-filling algorithm by Zexi Ren, Lin Zhang, Qianlong Wang, Wanjun Hu, Zhou Shi

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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…This research aims to develop and evaluate HeliEns, a novel quantum hybrid ensemble learning algorithm designed for the early and accurate diagnosis of H. infection infection. …”
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Genetic Algorithm for Optimizing Urban District and Block Morphology to Minimize Solar Radiation Access and Maximize Building Floor Area in the UAE by Hanan M. Taleb, Mays Kayed, Fuad Baba

“…The proposed methodology is developed to achieve these objective functions using a single-objective Genetic Algorithm (GA) with three street layout patterns: random, radial, and grid layout. …”
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Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…Conclusion The PET brain MoCo reconstruction algorithm was robust and worked well for four different tracers with markedly different uptake patterns. …”
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Research on Fault Diagnosis Method of Reciprocating Compressor Based on RSSD and Optimized Parameter RCMDE by Fengxia Lyu, Xueping Ding, Qianqian Li, Suzhen Chen, Siyi Zhang, Xinyue Huang, Wenqing Huang

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Generation of a white-albino phenotype from cobalt blue and yellow-albino rainbow trout (Oncorhynchus mykiss): Inheritance pattern and chromatophores analysis. by Ricardo Shohei Hattori, Tulio Teruo Yoshinaga, Arno Juliano Butzge, Shoko Hattori-Ihara, Ricardo Yasuichi Tsukamoto, Neuza Sumico Takahashi, Yara Aiko Tabata

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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage by Yongqiang Zhang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, Menghua Man

“…The anti-interference ability to spike neural networks has become an important direction of electromagnetic protection bionics research. Methods: Therefore, this research constructs two types of spiking neural network models with LIF model as nodes: VGG-SNN and FCNN-SNN, and combines pruning algorithm to simulate network connection damage during the training process. …”
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Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm by Mingguang Liu, Weibo Zhao, Ying Zhou, Mahdiyeh Eslami

“…Abstract Load demand forecasting is crucial for optimal energy management and sustaining comfortable indoor environments for air conditioning systems. The current research provides load demand prediction by a new modified rotor Hopfield neural network (RHNN) integrated with a fractional order of seasons optimization algorithm (FO-SOA) to overcome the challenge of predicting load demand. …”
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Research on Road Traffic Safety Risk Assessment Based on the Data of Radar Video Integrated Sensors by Xiaoyu CAI, Zimu LI, Wufeng QIAO, Xiling CHENG, Bo PENG, Dong ZHANG

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Model Development for Estimating Sub-Daily Urban Air Temperature Patterns in China Using Land Surface Temperature and Auxiliary Data from 2013 to 2023 by Yuchen Guo, János Unger, Tamás Gál

“…Our study offered a novel method for estimating sub-daily Tair patterns using open-source data and revealed the impacts of predictive variables on Tair estimation, which has important implications for urban thermal environment research.…”
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Evolution, reconfiguration and low-carbon performance of green space pattern under diverse urban development scenarios: A machine learning-based simulation approach by Yujie Ren, Mengdie Zhou, Antian Zhu, Shucheng Shi, Hao Zhu, Yuzhu Chen, Shanshan Li, Tianhui Fan

“…Ecological restoration, green space morphology, and carbon emissions are intricately interconnected. Previous research utilizing case studies and econometric modeling has demonstrated that effective ecological restoration and well-structured green space configurations can significantly enhance carbon sequestration, reduce carbon emissions, and mitigate the adverse effects of climate change during urbanization. …”
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Research and analysis of differential gene expression in CD34 hematopoietic stem cells in myelodysplastic syndromes. by Min-Xiao Wang, Chang-Sheng Liao, Xue-Qin Wei, Yu-Qin Xie, Peng-Fei Han, Yan-Hui Yu

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Optimizing Fractional-Order Convolutional Neural Networks for Groove Classification in Music Using Differential Evolution by Jiangang Chen, Pei Su, Daxin Li, Junbo Han, Gaoquan Zhou, Donghui Tang

“…Further experiments demonstrated that DE-FOCNN achieved higher accuracy and lower variance compared to other popular evolutionary algorithms. This research primarily contributes to the optimization of FOCNNs by introducing a novel DE-based approach for the automated analysis and classification of musical grooves. …”
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Dynamic parking space allocation at urban scale: Problem formulation and resolution by Hanae Errousso, Jihane El Ouadi, El Arbi Abdellaoui Alaoui, Siham Benhadou

“…The ordinary walking distance is reduced by 40% if our solution is adopted. Yet, other research works report a decrease of this distance not exceeding 30%. …”
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Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic by Bin Yang, Bin Song, Yadegar Abdi

“…Precise prediction of power consumption is critical for effective resource management. This research has demonstrated a new approach to forecasting that combines social and economic variables with climate factors using an advanced meta-heuristic algorithm to improve the accuracy and efficiency of the compact network. …”
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PRACTICAL IMPLEMENTATION OF HARDWARE AND SOFTWARE COMPLEX FOR PLANAR MEASUREMENTS OF ANTENNA CHARACTERISTICS IN THE NEAR ZONE by A. G. Buday, A. P. Grinchuk, A. V. Gromyko

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The global landscape of emotion recognition research from 2004 to 2023: a scientometric and visualization analysis by Peng Liu, Changzheng Yang, Kai Wang

“…Despite rapid evolution from psychological approaches to AI-driven methods, the field lacks a systematic understanding of its knowledge structure and research patterns. This scientometric analysis examined 39,686 articles from the Web of Science (2004–2023), revealing the field's intellectual structure and major research clusters. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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Mapping research trends in physical education pedagogies: a bibliometric analysis using scopus database by Uray Gustian, Adang Suherman, Yusi Rika Yustiana, Megia Erida, Arief Abdul Malik, Fika Nuraini Rusmitaningsih

“… This study aims to provide a comprehensive and systematic review of research trends in applying pedagogical models in physical education (PE) pedagogy. …”
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