Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Performance characterization of VARI-processed plain-woven glass/jute hybrid epoxy composites for renewable energy infrastructures: Experimental–numerical synergy by Macaulay M. Owen, Leong Sing Wong, Norashidah Binti Md Din, Emmanuel O. Achukwu, Ahmad, Zafir Romli, Solehuddin Shuib

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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments by Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad

“…The academic community has focused on various aspects of IMHM, such as prognostic maintenance, condition monitoring, estimation of remaining useful life (RUL), intelligent fault diagnosis (IFD), and architectures based on edge computing. Each of these categories holds its own significance in the context of industrial processes. …”
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Precise distance measurement with stereo camera: experimental results by Haydar Yanık, Bülent Turan

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The Development of a Deployment System Architecture for a Flask-Based Chatbot Using an LSTM NLP Model for Customer Service Question & Answer by David Ramantya Mukti, Abu Salam

“…Amidst these changes, human-computer interactions have increasingly evolved toward natural conversations through Natural Language Processing (NLP). …”
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Implementation of a Digital Model of Thermal Characteristics Based on the Temperature Field by V. V. Pozevalkin, A. N. Polyakov

“…Introduction. Computer modeling allows engineers to make valid design decisions by accurately assessing the thermal characteristics of design objects. …”
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The quantum circuit implementation and feasibility analysis of quantum public-key cryptosystem based on the $$QSCD_{ff}$$ Q S C D ff problem by Anyi Li, Qiqing Xia, Qianru Zhu, Li Yang

“…Based on the fault-tolerant quantum computation process of the aforementioned quantum circuit implementations, we propose two error-correction strategies and provide a theoretical feasibility analysis within a specified range in the ion-trap quantum computation environment, adhering to the theoretical limits of quantum computation. …”
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Wafer-Scale Ag2S-Based Memristive Crossbar Arrays with Ultra-Low Switching-Energies Reaching Biological Synapses by Yuan Zhu, Tomas Nyberg, Leif Nyholm, Daniel Primetzhofer, Xun Shi, Zhen Zhang

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Two‐mode multiplexed Fourier‐based labels by Takahiro Kodama, Gabriella Cincotti

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About managing the number of simultaneously functioning software robots of different types by A. S. Zuev, D. A. Leonov

“…The initial data is obtained via the presented approach for determining the computational resource parameters for operating a single software robot. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…In all test road scenarios, the proposed computer vision system for road vehicle identification achieved 95.8% accuracy and 0.3 ms processing time for 200 epochs. …”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

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A novel EWMA-based adaptive control chart for industrial application by using hastings approximation by Muhammad Atif Sarwar, Muhammad Hanif, Fahad R. Albogamy, Muhammad Nabi

“…Abstract Control charts are commonly used for process monitoring under the assumption that the variable of interest follows a normal distribution. …”
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Computational approach to identify novel genomic features conferring high fitness in Bacillus atrophaeus CNY01 and Bacillus velezensis AK-0 associated with plant growth promotion (... by Vandana Apurva Das, Budhayash Gautam, Pramod Kumar Yadav, Pritish Kumar Varadwaj, Gulshan Wadhwa, Satendra Singh

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Numerical Investigation of Heat and Mass Transfer Processes while the Desorption of Hydrogen Gas Stored in MmNi4.6Fe0.4-H6 by Ali Boukhari

“…A good agreement was found between the present computational results and the experimental data reported in the literature.…”
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Could changing invitation and booking processes help women translate their cervical screening intentions into action? A population-based survey of women’s preferences in Great Brit... by Jo Waller, Mairead Ryan, Laura AV Marlow

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Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

“…This approach aims to improve the classification accuracy of EMG signals while substantially reducing computational costs, offering valuable implications for all EMG-related processes on such data. …”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…To address this, we propose an unsupervised machine learning approach integrated with micro-computed tomography (μCT) image processing and Asymptotic Homogenization (AH) for accurate and robust consideration of real microstructure as the basis for an upscaling process. …”
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Towards smart fruit dryers: Integrating machine vision and response surface methodology for multi-objective monitoring and optimization of kiwifruit drying process by Sadegh Azizi Ishkooh, Hemad Zareiforoush, Adel Bakhshipour

“…This study aimed to monitor and optimize the kiwifruit drying process in a combined convection–infrared hot air dryer using computer vision and Response Surface Methodology (RSM). …”
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Process Monitoring and Control in Dermatological Diagnosis: A Deep Learning Approach Using Python, NumPy, Pandas, Keras, and TensorFlow by Neelamadhab Padhy, T. Bhubaneswari, Sushree Sangita Das, Meetali Sinha

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