Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Classification is widely and largely used in data analysis, and pattern recognition. The data analysis aims to discover similarities between them and group them based on similarity into multiple classes. …”
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A Mechanical Fault Diagnosis Method for On-Load Tap Changers Based on GOA-Optimized FMD and Transformer by Ruifeng Wei, Zhenjiang Chen, Qingbo Wang, Yongsheng Duan, Hui Wang, Feiming Jiang, Daoyuan Liu, Xiaolong Wang

“…From the resulting intrinsic mode functions (IMFs), statistical time domain features—peak factor, impulse factor, waveform factor, and clearance factor—are extracted to form feature vectors. …”
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Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…A custom quantum layer was incorporated to boost the model’s feature extraction capabilities, enabling effective differentiation between healthy and OA-affected knees in medical imaging data. …”
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Clinical features among adult‐onset type 1 diabetes, distribution of subtypes, and differences in probable and definite slowly progressive insulin‐dependent diabetes mellitus: A si... by Hiroko Takaike, Junnosuke Miura, Satoshi Takagi, Shota Mochizuki, Tetsuya Babazono

“…ABSTRACT Aims In Japan, type 1 diabetes (T1D) is classified into three subtypes based on its onset patterns; however, the proportion of each subtype remains unexplored. …”
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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…The detection time was found to be 0.2381 seconds, indicating the method's suitability for real-time applications. Furthermore, feature permutation importance analysis highlighted the critical role of certain features in the model's performance.  …”
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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…An agent-based model (ABM) is developed to analyze the dynamic risks and vulnerabilities of population and building agents under different rainfall scenarios, capturing macroscopic emergent patterns from individual behavior rules and analyzing them in both time and space dimensions. …”
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Vessel Type Recognition Using a Multi-Graph Fusion Method Integrating Vessel Trajectory Sequence and Dependency Relations by Lin Ye, Xiaohui Chen, Haiyan Liu, Ran Zhang, Bing Zhang, Yunpeng Zhao, Dewei Zhou

“…However, this approach often overlooks the crucial significance of the spatial dependency relationships among trajectory points, posing challenges for comprehensively capturing the intricate features of vessel travel patterns. To address this limitation, our study introduces a novel multi-graph fusion representation method that integrates both trajectory sequences and dependency relationships to optimize the task of vessel type recognition. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Predicting CO₂ Emissions with Advanced Deep Learning Models and a Hybrid Greylag Goose Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally, S. K. Towfek

“…First, experiments showed that ensemble machine learning models such as CatBoost and Gradient Boosting addressed static features effectively, while time-dependent patterns proved more challenging to predict. …”
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Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation by Babak Kasraei, Margaret G. Schmidt, Daniel D. Saurette, Chuck E. Bulmer, Jin Zhang, Travis Pennell, Kingsley John, Brandon Heung

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Comorbidity of cerebral palsy and epilepsy with autism in children by B. A. Abusueva, M. A. Askevova, M. D. Shanavazova, B. M. Nasrutdinova, M. Yu. Bobylova, A. S. Gadzhieva

“…Epilepsy in children with cerebral palsy is often manifested in a form of developmental and epileptic encephalopathy with spike-and-wave activation in sleep, which is characterized by epileptiform activity according to the type of benign epileptiform patterns of childhood with a high index on the electroencephalogram (up to 100 %), severe epileptic seizures of a status course, and mental disorders by type autism-like behavior (the so-called atypical autism) and disorders of speech communication. …”
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Spatial scale effects on the trade-offs and synergies of ecosystem services in China’s Huaihe river basin by Yaowen Chang, Yunpeng Wang, Li Yuan, Xiaoyou Yao, Ronghua Zhang, Xia Liu, Zhaofei Fan, Jiayu Guo

“…The relationship between WP and other ESs developed in the trade-off direction, and the other ES optimized in the collaborative direction. …”
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A new statistical model for advanced modeling of cancer disease data

“…Classical probability models often struggle to capture the variability and complex patterns inherent in biomedical data, particularly lifetime data. …”
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Vision transformer embedded video anomaly detection using attention driven recurrence by Ummay Maria Muna, Shanta Biswas, Syed Abu Ammar Muhammad Zarif, Philip Jefferson Deori, Tauseef Tajwar, Swakkhar Shatabda

“…We employ a modified pre-trained vision transformer for video feature extraction, leveraging its ability to capture complex spatio-temporal patterns and the global context. …”
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Development of social vocalizations in mice. by Jasmine M S Grimsley, Jessica J M Monaghan, Jeffrey J Wenstrup

“…This study examined patterns in the development of pup isolation vocalizations, and compared these to adult vocalizations. …”
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Development of Professional Competencies in IT-specialists by Anatolii V. Karpov, Aleksandr A. Karpov, Sergei O. Prisyazhnyuk

“…The aim is to identify and explain the features and patterns of the genesis of two basic categories of specialists’ competencies: hard-skills and soft-skills in the process of professionalization. …”
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Microbiome role in pancreatic diseases development by Yu. V. Evsyutina, V. T. Ivashkin

“…Intestinal barrier dysfunction, bacterial overgrowth syndrome and endotoxinemia are features of acute pancreatitis. Image-recognition systems (toll-like and NOD-like receptors) and microorganism-associated molecular patterns play important role in these processes. …”
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A model of the origins and development of Aleut by Anna Berge, Ben Potter, Jason Rogers

“…We here develop an integrated archaeogenetic model consistent with existing data on archaeological and genetic patterning among northern populations to evaluate the prehistoric development of Unangam Tunuu and related languages. …”
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MAJOR TRENDS IN THE WORLD JUDO SPORT DEVELOPMENT by N. Dimitrova

“…Along with the general patterns and trends, the features of the main leading schools in world judo are also distinguished. …”
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