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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction
Published 2025-07-01“…First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. Second, existing models have difficulty in capturing cross-dependent features between peptides and proteins, limiting the prediction performance. …”
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603
An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis
Published 2025-07-01“…Purpose The purpose of this study is to evaluate the efficacy of lower extremity kinematic gait data for detecting and rating the severity of unilateral hip OA using machine learning algorithms. Methods First, a feature extraction framework is developed to derive several discriminative spatiotemporal and nonlinear features from lower extremity kinematic gait data. …”
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604
Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development
Published 2025-06-01“…It also highlights both traditional filtering techniques and advanced methods, such as wavelet transforms, empirical mode decomposition, and adaptive filtering. Feature extraction techniques are explored to support pattern recognition and motion classification. …”
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605
Smart crop disease monitoring system in IoT using optimization enabled deep residual network
Published 2025-01-01“…Preprocessing is done on the input images using median filtering. Various features, such as Histogram of Oriented Gradient (HoG), statistical features, Spider Local Image Features (SLIF), and Local Ternary Patterns (LTP) are extracted. …”
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606
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Using Hybrid Feature and Classifier Fusion for an Asynchronous Brain–Computer Interface Framework Based on Steady-State Motion Visual Evoked Potentials
Published 2025-05-01“…The method integrates filter bank common spatial patterns (FBCSPs) and filter bank canonical correlation analysis (FBCCA) to extract complementary spatial and frequency domain features from EEG signals. …”
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608
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Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques
Published 2025-01-01“…These feature selection algorithms are also compared with a manual feature selection approach to determine whether a manual, automated, or hybrid feature selection approach would be more suitable for this type of problem.…”
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610
Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China
Published 2025-04-01“…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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611
Use of Socio-economic, Climatic, and Land use Land Cover Patterns in Solid Waste Forecasting with Integrated Gradient LSTNet Based Model in Lomé, Togo
Published 2024-12-01“…Few studies have explored recurrent neural network models in municipal solid waste (MSW) generation forecasting regarding the inefficiency of conventional and probabilistic tools. This study aimed to develop a new approach of Integrated Gradient Long- and Short-term Time series Network (LSTNet+IG)-based models, assess the baseline neural network models, and provide features influences explanation on MSW generation by using socio-economic, climatic, and Land Use Land Cover (LULC) patterns. …”
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612
A REMARKABLE FEATURE OF BIODIVERSITY OF THE COASTAL, MARINE AND ISLAND ECOSYSTEMS OF THE CASPIAN SEA. A NEW LOOK AT THE AGE OF ISLANDS AND LEVEL MODE
Published 2014-10-01“…A different situation with understanding and explanation of the pattern of endemism coastal and especially island taxa. …”
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Scattering of Elastic Waves by an Inhomogeneous Boundary in the Acoustic Testing of Permanent Joints
Published 2019-12-01“…It has a significant effect on the field pattern and its angular amplitude extrema — minima and maxima of different orders when the defect boundary is moved relative to the center of the acoustic beam spot.The features of the evolution of the structure of the scattering field are established, which make it possible to identify optimal conditions for the detection of weakly reflective defects in sound. …”
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615
Antitumor effect of recombinant interferon-gamma in an experimental model of Ehrlich’s bilateral solid carcinoma
Published 2022-06-01“…Thus, a distinct, statistically significant antitumor effect of IFNγ was established in relation to a tumor with a multicentric growth pattern.…”
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616
Developing Assesment Tools Based on Humanistic Approach to Improve Arabic Vocabulary
Published 2024-01-01“…The Assessment Tools development process is like that of Lee and Owens. This development approach is divided into five steps: analyze, design, develop, implement, and evaluate. …”
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617
DEVELOPMENT OF STUDENTS’ INTERCULTURAL COMMUNICATIVE TOLERANCE IN THE UNIVERSITY MULTILINGUAL EDUCATIONAL ENVIRONMENT
Published 2018-03-01“…Higher education involves a complex process for the development of cognitive, social, emotional and cultural characteristics of the individual of future specialists; including forming special behavior patterns that in the future will provide competitiveness and success of employment of the university graduates. …”
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618
Engineering thinking: Vectors of development in the context of the transformation of the scientific picture of the world
Published 2023-10-01“…This made it possible to introduce into the field of scientific consideration of engineering thinking and engineering activities such regulatory epistemological structures as the scientific picture of the world, paradigm, style of thinking, etc., as well as value-semantic structures of thinking and activity (value attitudes, ideals, standards activities, norms, strategic priorities, semantic patterns, etc.). In theoretical terms, the study is important for overcoming narrow technological and technocratic approaches, for a reasonable etermination of the prospects for the development of engineering thinking in the conditions of convergent processes.Practical significance. …”
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619
Statistical Assessment of The Development of Digital Skills of The Employed Population in The Russian Federation
Published 2022-06-01“…The results of the analysis of the development of digital skills can be used in studies on modeling the relationship between the level of user competencies of personnel in the digital environment and the development of the digital economy in order to study the features and patterns of digital transformation of economic activity in the Russian Federation in a deeper and more comprehensive way.…”
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620