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701
Analysis of the Buccal Bone Plate, Root Inclination and Alveolar Bone Dimensions in the Jawbone. A Descriptive Study Using Cone-Beam Computed Tomography
Published 2019-07-01Subjects: “…alveolar process…”
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702
Correction: From energy to ecology: decarbonization pathways for sustainable high-performance computing through global carbon-energy nexus analysis
Published 2025-08-01Subjects: “…high-performance computing…”
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703
Assessment of degenerative changes in the atlanto-odontoid joint using cone-beam computed tomography (CBCT) imaging
Published 2025-06-01Subjects: Get full text
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704
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705
Transformer-based latency prediction for stream processing task
Published 2025-07-01“…Abstract Latency prediction for stream processing tasks (SPTs) is a critical issue for stream computing, parameter tuning, load optimization, task scheduling, etc. …”
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706
Effective Parallel Processing Social Media Analytics Framework
Published 2022-06-01Get full text
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707
Approximated 2-Bit Adders for Parallel In-Memristor Computing With a Novel Sum-of-Product Architecture
Published 2024-01-01Subjects: Get full text
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708
Using artificial intelligence tools for automating the assessment of future computer science teachers' work
Published 2025-06-01Subjects: Get full text
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709
Computer model and complete set of a functional non-alcoholic beverage production line
Published 2021-02-01Subjects: “…computer model…”
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710
Teaching methods of work with data in the course of process management
Published 2016-12-01“…The purpose of research is the development of a distance training method to teach students to work with data, used in the training course of process approach to the enterprise management. A difficult point in teaching development of business-processes that involve the execution of business-process instances in the enterprise computer environment is the interaction of business processes with data in cases where process management is taught to students, studying in the field of business information technology or financial and accounting professions. …”
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711
Accelerated Bayesian optimization for CNN+LSTM learning rate tuning via precomputed Gaussian process subspaces in soil analysis
Published 2025-08-01Subjects: Get full text
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712
Jasmine Flower Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling
Published 2025-06-01Get full text
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713
Efficient Learning of Hyperrectangular Invariant Sets Using Gaussian Processes
Published 2022-01-01“…A key benefit of our approach is to enable tractable computations for systems up to moderately high dimension that are subject to low dimensional uncertainty modeled as Gaussian processes, a class of systems that often appears in practice. …”
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714
Simulation of granular flows and machine learning in food processing
Published 2024-12-01Get full text
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715
Timeseria: An object-oriented time series processing library
Published 2025-02-01Get full text
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716
MODEL BASED FAULT DETECTION FOR SAFETY MANAGEMENT OF THE INDUSTRIAL PROCESSES
Published 2025-07-01“…The variables of these connections are specified from the a-priori knowledge on the process. To detect the process faults, the paper proposes a method based on analytical redundance evaluation and on computing residues, using the measurements collected from the process and on the mathematical models associated to the process. …”
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717
Voltage-controlled magnetoelectric devices for neuromorphic diffusion process
Published 2025-05-01“…However, the more complex algorithms of these models result in high computational costs using today’s technologies. Here, we develop a spintronic voltage-controlled magnetoelectric memory hardware for the neuromorphic diffusion process. …”
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718
Blow-up Whitney forms, shadow forms, and Poisson processes
Published 2025-02-01“…Additionally, we discover a surprising probabilistic interpretation of shadow forms in terms of Poisson processes. This perspective simplifies several proofs and gives a way of computing bases for the shadow forms using a straightforward combinatorial calculation.…”
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719
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720
Proving Properties of Dekker’s Algorithm for Mutual Exclusion of N Processes
Published 2025-04-01Get full text
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