Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) by Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin

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GENERAL EQUATION OF THE HYDRAULIC FRICTION LAW FOR HINDERED FALLING OF AN INDIVIDUAL BALL AND FLUID MOTION IN GRANULAR LAYERS by M. V. Krautsov, A. M. Krautsov

“…The authors generalize the results of theoretical and experimental studies, employ the theory of similarity, and establish that the laws of hydraulic friction for the mentioned hydromechanical processes share the common ground described by one general equation that provides basis for obtaining the individual formulae computing the studied hydromechanical processes. …”
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Research on Seamless Fabric Defect Detection Based on Improved YOLOv8n by Qin Sun, Bernd Noche, Zongyi Xie, Bingqiang Huang

“…Finally, integrating OREPA technology significantly reduces computational complexity, reduces redundant computing burden, and accelerates the training process by optimizing the model structure. …”
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The impact of LLM chatbots on learning outcomes in advanced driver assistance systems education by Mohsin Murtaza, Chi-Tsun Cheng, Bader M. Albahlal, Muhana Magboul Ali Muslam, Mansoor Syed Raza

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Recurrent neural network consisting of FitzHugh–Nagumo systems: characteristics required for training by Semenova, Nadezhda Igorevna

“…The network was trained using gradient descent from different initial conditions. In the process of research, it was found that the use of standard recurrent network training characteristics such as mean squared error or mean absolute error was not applicable to this task, so an alternative method for computing the loss function was proposed. …”
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MIE-SPD: A New and Highly Efficient Chaos-Based Multiple Image Encryption Technique With Synchronous Permutation Diffusion by Bibhudendra Acharya, Javvadi Venkata Sravan, Durga Ram Janaki Potnuru, K. Abhimanyu Kumar Patro

“…Due to the advancement of computing technologies and the Internet of Things, there has been a notable rise in image data in different sectors. …”
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GAN-based solar radiation forecast optimization for satellite communication networks by Chao Chen, Xin Liu, Shizhong Zhao, Muhammad Bilal

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Performance characteristics of the fork-join queuing system by V. I. Klimenok

“…The results of the study can be used for modeling various computer and communication systems, in particular, systems that perform parallel computing, customer processing in distributed databases, and parallel disk access.…”
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A Distributed Privacy Preserved Federated Learning Approach for Revolutionizing Pneumonia Detection in Isolated Heterogenous Data Silos by Shagun Sharma, Kalpna Guleria

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Real-time multiple people gait recognition in the edge by Paula Ruiz-Barroso, José María González-Linares, Francisco M. Castro, Nicolás Guil

“…However, optimizing these models to achieve fast computing speeds without sacrificing accuracy can be challenging, especially in video surveillance applications where real-time processing is crucial. …”
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Drought‐Rich Periods Are More Likely Than Flood‐Rich Periods in Brazil by Vinícius B. P. Chagas, Pedro L. B. Chaffe, Günter Blöschl

“…Drought‐ and flood‐rich periods are detected by computing annual streamflow minima and maxima time series and using scan statistics to verify if events exceeding a threshold follow a Bernoulli process. …”
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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection by Edeh Michael Onyema, B. Gunapriya, Balasubramanian Prabhu Kavin, Mueen Uddin, Priyan Malarvizhi Kumar, Tehseen Mazhar, Mamoon M. Saeed

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Ready, set, …rollout? – The role of heterogeneous actors and proximities in the delayed smart meter rollout in Germany by Sabrina Paustian, Julia Köhlke, Jannika Mattes, Sebastian Lehnhoff

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Meta Domain Adaptation Approach for Multi-Domain Ranking by Zihan Xia, Yixuan Liu, Xiangran Zhang, Xiaoshuang Sheng, Kewei Liang

“…In constructing a multi-domain model encompassing several domains with small sample sizes, how to make the best use of the existing data of other domains and ensure the generalization performance of the model in the training process has become the key problem of the research. …”
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DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification by Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar

“… Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance. …”
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A High‐Performance Coupled Human And Natural Systems (CHANS) Model for Flood Risk Assessment and Reduction by Haoyang Qin, Qiuhua Liang, Huili Chen, Varuna DeSilva

“…In this study, we propose a novel Coupled Human And Natural Systems (CHANS) modeling framework to capture the intricate interactive human behaviors and flooding process at a high spatial resolution. The new CHANS modeling framework integrates a high‐performance hydrodynamic model with an agent‐based model to simulate the complex responses of individual households to the evolving flood conditions, leveraging the computing power of graphics processing units (GPUs) to achieve real‐time simulation. …”
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Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm by Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

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Research on a Lightweight Rail Surface Condition Identification Method for Wheel–Rail Maximum Adhesion Coefficient Estimation by Kun Han, Yushan Wang

“…Additionally, an FP16/FP32 mixed-precision computing strategy is employed to accelerate the training process. …”
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Incorporation of XAI and Deep Learning in Biomedical Imaging: A Review by Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

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Assessing Lean 4.0 critical success factors (CSFs) for implementing in small and medium-sized enterprises (SMEs) by Karishma Mohamed Rafik Qureshi, Bhavesh G. Mewada

“…These factors significantly impact the adoption process, providing actionable insights for SME leaders to overcome challenges and optimize implementation strategies. …”
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