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Evaluating parental experiences in teaching children with learning disabilities in resource rooms of public schools in Amman
Published 2024-10-01“…Data were analyzed using SPSS version 27 to compute descriptive statistics, correlation coefficients, and hierarchical linear modeling (HLM) to account for clustering effects.ResultsThe majority of respondents were female (60%, n = 120), and the largest age group was 31–40 years (45%, n = 90). …”
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Evaluating the Effectiveness of New Criteria for Early Detection of the Start and Intensity of Influenza Epidemics in Russian Federation
Published 2024-01-01“…The calculation of the baselines was carried out according to the data of the computer database of the Influenza Research Institute on the incidence of influenza by age groups in each city over the previous 5 years in the season from 2016–2017 to 2021–2022.Results. …”
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Surface morphology segmentation and evaluation of diamond lapping pad based on improved Mask R-CNN
Published 2025-06-01Get full text
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Providing a Framework for Assessing and Evaluating Network Data Studies in the Fight Against Social Anomalies
Published 2024-09-01“…Various methods have been introduced for crime detection, including a wide range of innovative computer techniques. Data mining is regarded as one of the most effective tools for data and information analysis in the field of crime detection. …”
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The YOLO Framework: A Comprehensive Review of Evolution, Applications, and Benchmarks in Object Detection
Published 2024-12-01“…The review traces the evolution of YOLO variants, highlighting key architectural improvements, performance benchmarks, and applications in domains such as healthcare, autonomous vehicles, and robotics. It also evaluates the framework’s strengths and limitations in practical scenarios, addressing challenges like small object detection, environmental variability, and computational constraints. …”
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Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration
Published 2025-01-01“…Our findings reveal that, compared to the conventional deep learning models, the proposed spiking neural system achieves a computational efficiency improvement while maintaining the competitive regression accuracy. …”
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Approach of glowworm swarm optimization based virtual machine placement
Published 2022-03-01Get full text
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Quantum-Resistant Blockchain Protocols for Secure Transactions
Published 2025-01-01“…The advent of quantum computing threatens the cryptographic security of traditional blockchain systems, potentially rendering current encryption techniques obsolete. …”
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Developing and Analyzing the Defect-Based Surface Codes Using Optimization Algorithms
Published 2025-05-01“…Fault tolerance is crucial for enabling large-scale quantum computations, with surface codes emerging as prominent error correction techniques due to their high error threshold and reliance on nearest-neighbor interactions. …”
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Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design
Published 2025-08-01“…Our research contributes to the advancement of inclusive digital experiences by providing a computational framework for cross-cultural visual communication design that respects cultural diversity while enhancing user experience across cultural boundaries.…”
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A comprehensive survey of imbalanced learning methods for bankruptcy prediction
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5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security, and Privacy Challenges for Smart Culture Applications
Published 2025-01-01“…This paper investigates the evolution of 5G/6G architectures to support demanding Extended Reality (XR) and Metaverse applications, focusing specifically on the “smart culture” domain. We evaluate the capabilities of the 5G Service-Based Architecture (SBA), including Multi-Access Edge Computing (MEC) and network analytics, through a comprehensive feasibility study comparing stringent XR requirements (bitrate, latency, capacity, power, accuracy) against current 5G performance. …”
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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomogra...
Published 2025-03-01“…This study aimed to develop a deep learning algorithm, referred to as DeepCT, to detect acute intracranial hemorrhage on non-enhanced head computed tomography images and evaluate its clinical applicability. …”
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Ensemble-RNN: A Robust Framework for DDoS Detection in Cloud Environment
Published 2023-12-01“…The advent of cloud computing has made it simpler for users to gain access to data regardless of their physical location. …”
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