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Automated Seizure Detection through EEG Analysis and Deep Learning Technique
Published 2024-06-01“…However, one of the challenges of automatic seizure detection using EEG analysis is extracting optimal features that can distinguish between different states of epilepsy. To address this issue, this research proposes a new approach for automatically identifying epileptic seizures using a deep convolutional network. …”
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682
Clustering Tingkat Risiko Klasifikasi Lapangan Usaha (KLU) Menggunakan Metode K-Means
Published 2022-06-01“…Corporate taxpayers as one of the largest source of revenue, based on their business sector have a dominant contribution to state revenues. Thus, in this study, the researcher tries to implement the clustering method with the K-Means algorithm to grouping the business classifications (Klasifikasi Lapangan Usaha/KLU) according to the risk of non-compliance level and the fiscal impact on revenue which is divided into high, medium, and low. …”
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Analysis of asymmetry factors in the development of the EU tourism industry
Published 2020-12-01“…To pursue a supranational tourism policy and create a favorable marketing environment at the national level, it is necessary to consider the objective differences between member states and their characteristics in the field of tourism. …”
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685
Critical linkages between land use change and human health in the Amazon region: A scoping review.
Published 2018-01-01Get full text
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686
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688
POLICY FOR THE ASSESSMENT AND COMPENSATION OF DAMAGES FROM THE RUSSIAN FEDERATION’S AGGRESSION AGAINST UKRAINE
Published 2025-07-01“…The article analyzes the main initiatives of the international community and Ukraine regarding the system for recording, assessing, and indemnifying damages. …”
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689
MYOFASCIAL SYMPTOMS IN CLINIC COMPRESSION OF DISLOCATION OF THE TEMPOROMANDIBULAR JOINT DYSFUNCTION
Published 2018-03-01Get full text
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690
Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles
Published 2020-09-01Get full text
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691
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693
Performance of Various Artificial Intelligence Models for Predicting Temperature in an Industrial Building—A Case Study
Published 2025-07-01“…By integrating high-performing predictive models into equipment control systems, it is possible to reduce energy costs, improve thermal comfort, and ensure efficient process stability. This research underscores the importance of an algorithmic approach tailored to both the thermal characteristics of the building and the computational capabilities of industrial infrastructure, with feature importance analysis confirming that external temperature and heating system states are the primary predictive factors, thereby helping to optimize industrial operations.…”
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694
Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer
Published 2014-12-01Get full text
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695
A compression method of educational material for special disciplines of technical University
Published 2018-01-01Get full text
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696
Lobular panniculitis in rheumatic diseases: the authors’ own data
Published 2020-03-01Get full text
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697
THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS
Published 2021-06-01Get full text
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698
Posttraumatic epilepsy: clinical, diagnostic and therapeutic features
Published 2022-01-01Get full text
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699
Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning
Published 2025-01-01“…Following this, an observer is incorporated into the main controller to improve performance and stability by estimating states and disturbances. …”
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700
Several aspects of conservative treatment of patients with cervical osteochondrosis
Published 2016-07-01Get full text
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