Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Future research directions proposed include the following: (1) development of data fusion models that integrate heterogeneous datasets of incident reports for enhanced predictive modeling; (2) utilization of natural language processing (NLP) to extract contextual information from textual incident reports; and (3) implementation of advanced ML pipelines that incorporate anomaly detection, hyperparameter optimization, and sophisticated feature selection techniques. …”
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An In-Memory-Computing Binary Neural Network Architecture With In-Memory Batch Normalization by Prathamesh Prashant Rege, Ming Yin, Sanjay Parihar, Joseph Versaggi, Shashank Nemawarkar

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A Historical Review of the Technology Used for the Study of Freshness in Red Meats by Julieta Nava-Granados, Maria T. Orvananos-Guerrero, Claudia N. Sanchez, Julieta Dominguez-Soberanes

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X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs by Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Archit Gajjar, Lei Zhao, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves

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Developing the Digital Health Communication Maturity Model: Systematic Review by Grace Jeonghyun Kim, Kang Namkoong

“…Future research should implement and refine the DHCMM across diverse health care contexts to enhance its effectiveness. …”
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Exploring IoT integration challenges: Causal relationships and strategic implications for business models by Parveen Siwach, Disha Gulia, Dhiraj Kumar Yadav, Mohit Malik, Vijay Kumar Gahlawat

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A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses by Amir Ezzodin, Gholamreza Ghodrati Amiri, Hosein Naderpour, Morteza Raissi Dehkordi

“…The analysis process was complemented in three levels: (a) the Fourier transform was utilized to extract the vibration frequency, (b) the time instants of damage occurrence were detected by using the discrete wavelet transform, and (c) accurate damage detection was made by using the extracted pulse components of the records as loading protocol for earthquake simulation and the discrete wavelet transform. …”
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A Study on Information Strategy Planning (ISP) for Applying Smart Technologies to Airport Facilities in South Korea by Sunbae Moon, Gutaek Kim, Heechang Seo, Jiwon Jun, Eunsoo Park

“…Through system analysis, benchmarking, and SWOT assessment, the study proposes a stepwise implementation roadmap consisting of development, integration, and advancement phases and designs a “To-Be” model that incorporates 37 component technologies and a standardized information framework. …”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

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Comparison of Characteristics of SCR-DeNOx Catalyst for Gas-Turbine Units and Coal-Fired Units by Zhitan LIU, Jie YAO, Ke ZHUANG, Lemeng YU, Kai ZHOU

“…The contents of active components (V2O5) and promoter components (WO3) are significantly higher than that of coal-fired flue gas DeNOx catalysts. …”
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The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…Two lightweight surface reconstruction techniques are implemented: (1) algorithmic reconstruction, which delivers a 6.3 mm elevation error at 95% confidence in complex intersections, and (2) template matching, which replaces road markings, poles, and vegetation using bounding boxes. …”
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MORTGAGE LENDING IN THE AGRICULTURAL ECONOMY: OPPORTUNITIES AND RISKS by Ruslana Sodoma, Oksana Agres, Olha Havryliuk, Kateryna Melnyk

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Presenting the conceptual model of organizational democracy with an emphasis on the development of employees' psychological capital by Sattar jahantabi neghad, Foad Makvandi, ezat allah Kiani, ghanbar Amirnegad, Vahid Chenari

“…After confirming the reliability and validity of the questionnaire, the results showed that some causal components such as the attitude and perspective of managers, structural factors, manpower planning, macro political and social factors have the greatest impact on organizational democracy based on the development of the psychological capital of the employees of National Iranian Oil Company, and then strategic factors such as organizational learning, succession training, support and knowledge management have the greatest impact in creating the consequences of the implementation of democracy in the National Oil Company. …”
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Enhancing Performance and Stability of Wing-Alone UAV: A Comprehensive Mathematical Model and Simulation Approach Using MATLAB and Simulink by G. Ramanan, N. Rahul, V. E. Sathishkumar, Indraraj Upadhyaya

“…Performance analyses revealed a maximum rate of climb at 3.5 m/s and optimal aerodynamic efficiency for minimum drag at a cruise velocity of 25 m/s. …”
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A novel digital design method for railway subgrade sections by Qingbo Bai, Xu Li, Zhenze Ma, Xiaokang Li, Long Liu

“…The methodology incorporates the following essential steps: (1) the advancement of digital analysis and modeling techniques for diverse subgrade components, including surfaces, filling, slopes, retaining structures, and foundation treatments; (2) the formulation of a digital design principle repository incorporating various slope protection combinations; (3) the establishment of a comprehensive digital design framework and process for subgrade cross-sections; and (4) the development and implementation of an open-source digital design system. …”
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Linear optical wave energy redistribution methods for photonic signal processing by Connor Rowe, Xinyi Zhu, Benjamin Crockett, Geunweon Lim, Majid Goodarzi, Manuel Fernández, James van Howe, Hao Sun, Saket Kaushal, Afsaneh Shoeib, José Azaña

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PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes by Ji-Hyun Na, Hyeon-Jin Yu, Hyeongbin Kang, Heeju Kang, Hee-Dong Lim, Jae-Hyuck Shin, Seo-Young Noh

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Dealing with Aspects of Performance and Environmental Impact of Aircraft Engine with Thermodynamic Metrics by Hakan Aygün

“…The limited energy source indicates the necessity of efficient energy consumption in every field of life. …”
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machine learning-driven Six Sigma framework for enhancing the quality improvement and productivity in the Aircraft Manufacturing by Dwi Adi Purnama, Alfiqra Alfiqra, Winda Nur Cahyo

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