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APPLICATION OF EXTREME LEARNING MACHINE METHOD ON STOCK CLOSING PRICE FORECASTING PT ANEKA TAMBANG (PERSERO) TBK
Published 2023-06-01“…Artificial neural networks are modeling methods that can capture complex input and output relationships. This method is widely used in forecasting and classification. …”
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4043
YOLO-AMM: A Real-Time Classroom Behavior Detection Algorithm Based on Multi-Dimensional Feature Optimization
Published 2025-02-01“…However, the existing models are still deficient in detail feature capture capability, multi-layer feature correlation, and multi-scale target adaptability, making it challenging to realize high-precision real-time detection in complex scenes. …”
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4044
Machine learning and deep learning in medicine and neuroimaging
Published 2023-06-01“…Natural language processing is likely to gain increasing importance in medicine in the near future. Complex decision‐making that mimics human thinking with reinforcement learning is still far away on the horizon.…”
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4045
Retinal Vasculature and Microstructure in Early Dry-Type Myopic Maculopathy
Published 2019-01-01“…The vessel densities of the SCP and DCP, choroidal thickness, retinal nerve fiber layer thickness, ganglion cell complex thickness, and retinal thickness were reduced in group 2. …”
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4046
Multi-Objective Optimization of Buildings’ Exterior Wall Insulation Based on Comprehensive Analysis Models and Assessment Indexes
Published 2025-02-01“…The presented multi-objective optimization method is very helpful in solving the complex engineering problem of optimizing external wall insulation.…”
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4047
Life cycle cost of communication towers: identification and hierarchical classification of influencing factors
Published 2025-07-01“…Additionally, it shows potential for application in other complex cost systems, facilitating precise interventions and cost control throughout the life cycle.…”
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4048
Evaluating the impact of polycythemia vera on retinal and optic nerve head microvascularity: An OCTA study
Published 2024-11-01“…Purpose: This study aims to assess the impact of polycythemia vera (PV) on retinal and optic nerve head (ONH) vessel density (VD) parameters, macular ganglion cell complex (mGCC) thickness, and retinal nerve fiber layer (RNFL) thickness compared to healthy controls. …”
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4049
FRACTURED TECTONICS OF CHROMITITES OF THE MAIN SARANOVSKOYE DEPOSIT (PERM KRAI)
Published 2022-12-01“…The research revealed that the massif is similar to the Bushveld stratiform complex. Unlike other layered plutons, the Northern Saranovsky massif has a large amount of chrome ore bodies as compared to ultramafic host rocks. …”
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4050
Specifics of integrated thermal imaging monitoring modern civil buildings and thermophysical properties of enclosing structures made of building materials of mass production
Published 2022-02-01“…The purpose of the study is to improve the technical procedure and increase the accuracy of determining the key thermophysical characteristics of building materials and products in a stationary thermal regime, as well as expanding the possibilities of using integrated thermal imaging monitoring in assessing the heat-conducting qualities of heterogeneous single-layer building structures, which are, including in non-stationary temperature conditions. …”
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4051
Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting
Published 2024-01-01“…By capturing quantile distributions across segmented subsequences at multiple scales, the model is able to detect complex patterns, enhancing both the accuracy and robustness of forecasts. …”
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THE RESULTS OF ORTHOPEDIC TREATMENT OF PATIENTS WITH DEFECTS OF HARD TISSUES OF VITAL TEETH
Published 2018-03-01“…To achieve the aim there was performed a complex clinical and laboratory examination of 92 individuals using clinical, dentometryc and statistical methods. …”
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Exploring barriers and facilitators of mental health care in Sudurpaschim Province, Nepal: a socioecological qualitative study of patients with depression and anxiety and health ca...
Published 2025-07-01“…Conclusions This qualitative study presents a complex, interconnected set of multi-layered barriers and facilitators influencing access to mental health care in Sudurpaschim, Nepal. …”
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4054
Fractal Fuzzy-Based Multi-criteria Assessment of Sustainability in Rare Earth Use for Hydrogen Storage
Published 2025-08-01“…Fractal structures such as Koch Snowflake, Cantor Dust, and Sierpinski Triangle can model complex uncertainties more successfully. Fractal structures are particularly effective in modeling linguistic fuzziness because their recursive nature closely mirrors the layered and imprecise way humans often express subjective judgments. …”
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Analyzing the Changes in the Structure of Residential Types in the Historical Context of Borujerd City From Qajar to Pahlavi period
Published 2022-10-01“…Also, it can be seen in terms of the spatial configuration of the houses, which includes the appropriate layering of the spatial complex plan, permeability, attention to privacy and the creation of appropriate hierarchies of the houses of the Qajar period compared to the Pahlavi.…”
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DAWN: Designing Distributed Agents in a Worldwide Network
Published 2025-01-01“…The rapid evolution of Large Language Models (LLMs) has transformed them from basic conversational tools into sophisticated entities capable of complex reasoning and decision-making. These advancements have led to the development of specialized LLM-based agents designed for diverse tasks such as coding and web browsing. …”
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Synergistic effects of polyvinylpyrrolidone and graphene oxide in thin film nanocomposite membranes for oily wastewater treatment via forward osmosis process
Published 2025-07-01“…Abstract Wastewater from the oil and gas industry is notoriously challenging to treat due to its complex composition. In this work, polyvinylpyrrolidone (PVP) was used to modify graphene oxide (GO) nanoparticles for the synthesis of PSf based thin-film nanocomposite (TFN) membranes through the interfacial polymerization (IP) technique, aimed at oil removal from wastewater. …”
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Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels
Published 2025-06-01“…Accurate seasonal forecasting of lake levels using traditional mechanistic models is challenging due to the complex physical mechanisms and coupled hydroclimatic processes involved. …”
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Simulation of incremental update of electronic document information based on big data technology
Published 2025-05-01“…Deep algorithms in incremental updating of electronic documents can automatically extract deep and abstract features from a large amount of complex data. On the basis of the feedforward neural network model, the network structure and parameters are optimized to enhance the algorithm’s learning capacity for the information characteristics of electronic documents. …”
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Specifics of boglands freezing in the north and northwest of the European part of Russia under climate change
Published 2019-06-01“…Long-term complex observations covering the period of 1949–2018 made possible to determine the average annual characteristics of the depth of freezing of wetlands in the North and Northwest of the European territory of Russia together with main factors of its formation, and spatial and temporal variability. …”
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