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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction
Published 2025-07-01“…Moreover, the study applied classical texture-based feature extraction methods, namely Local Binary Patterns (LBP) and Gray-Level Co-occurrence Matrix (GLCM), processing each Red Green Blue (RGB) channel separately using an offset [0 1] and recombining them to create comprehensive texture descriptors. …”
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Assessing the impact of urban morphology on community resilience in sustainable urban development: A case study of the historic urban fabric of Kerman
Published 2024-09-01“…The physical expansion of a city, when not properly aligned with its natural and historical structures, can lead to failures in urban development processes, particularly in cities with distinctive natural features. …”
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ANALYSIS OF ECONOMIC THOUGHT IN THE CONTEXT OF PREREQUISITES FOR THE DEVELOPMENT OF CLUSTER FORMATIONS IN THE WORKS OF FOREIGN SCIENTISTS
Published 2021-06-01“…The authors present the evolution of the formation and development of the cluster approach in Economics in Western Economic Thought, give the author’s definition of the concept of “cluster” and describe the common features characteristic of clusters, provide reasoned conclusions.…”
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Motivational and valuable regularities and akmeologicheskys mechanisms of development of future engineer
Published 2022-05-01“…The item presents a view on the specific points and the structure of the motivation-value features in those studying to become engineers; there is a presentation of the patterns and mechanisms determining their acmeological development.…”
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Tool Wear Monitoring Technology and Its Application in Heavy Cutting
Published 2022-02-01“…In order to discuss the tool wear monitoring technology and its application in heavy cutting, taking the common cutting tool wear monitoring as the research object, the most widely used and emerging key technologies, methods and principles in tool wear monitoring are deeply analyzed from the aspects of signal acquisition, feature processing, pattern recognition and decision control.Their advantages and disadvantages are analyzed in detail.Then the application of tool wear monitoring in heavy cutting are explained and analyzed.The achievements and progress made by domestic and foreign scholars in the field of tool wear monitoring are described, and the future development trend is prospected. …”
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Rural settlement pattern in Belarus
Published 2013-06-01“…Spatial and temporal shifts in the rural population distribution and settlement structure were found, and types of the Belarusian rural settlement pattern were developed. Distribution features and demographic development of a new form of the Belarusian rural communities - agrotowns - were discovered…”
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Peculiarities of Pattern Information Transmission
Published 2017-11-01“…The analysis of peculiarities of mental images formation and development is given, a model of the mechanism of pattern information transmission is proposed. …”
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Flower Automata Pattern-Based Discrimination of Fibromyalgia From Control Subjects Using Fusion of Sleep EEG and ECG Signals
Published 2025-01-01“…The novelty of the model is the use of dynamic and interpretable feature engineering framework comprising of two innovations: 1) Flower Automata Pattern (FAP) for self-organized pattern-based feature extraction, and 2) Attention-Driven Wavelet Transform and Absolute Maximum Pooling (ADWTAMP) method for signal decomposition and compression. …”
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An interpretable deep learning framework for medical diagnosis using spectrogram analysis
Published 2025-12-01“…In contrast, the custom CNN model exhibits more coherent and class-specific activation patterns, offering improved localization of diagnostically relevant features.…”
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The BBX family and their response to abiotic stress in ginger (Zingiber officinale Roscoe)
Published 2025-05-01“…Additionally, the expression patterns of ZoBBXs were investigated across various developmental stages and in response to abiotic stresses, including ABA, cold, drought, heat, and salt treatments, utilizing RNA-seq data and qRT-PCR analysis. …”
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A novel Swin transformer based framework for speech recognition for dysarthria
Published 2025-06-01“…Firstly, the speech is converted into mel-spectrograms to reflect the maximum patterns of voice signals. Despite the ST’s initial aim to effectively extract the local and global visual features, it still prioritizes global features. …”
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Exploring Energy-Efficient Design Strategies in High-Rise Building Façades for Sustainable Development and Energy Consumption
Published 2025-03-01“…The findings show that high-rises with optimized pattern curtain wall façades reveal considerable savings in energy usage, particularly in cooling loads, which enhances indoor thermal comfort and reduces environmental effects. …”
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Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data...
Published 2025-07-01“…We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine learning (ML)-driven predictive and prognostic models for PD. …”
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Cardioprotective dietary pattern of Siberian population
Published 2023-09-01“…Background — Analysis of eating habits can help identify cardioprotective dietary patterns. It is necessary to qualitatively study the diet of modern inhabitants of Siberia and identify food stereotypes that contribute to effective cardiac prophylaxis. …”
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Identifying etiological pattern for postpartum complications
Published 2022-09-01“…Postpartum complications hold one of the leading places in the pattern of gynecological diseases.Aim: to study the clinical and laboratory features of developing postpartum inflammatory complications.Materials and Methods. …”
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