Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

“…Key contributions include introducing a multi-task loss function that optimizes 2D and 3D predictions and integrating sensor fusion techniques that combine RGB camera data with LIDAR point clouds for improved depth estimation. …”
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Identification and Expression Analysis of Sugar Transporter Gene Family in Aspergillus oryzae by Gongbo Lv, Chunmiao Jiang, Tiantian Liang, Yayi Tu, Xiaojie Cheng, Bin Zeng, Bin He

“…To investigate the potential roles of SUTs in A. oryzae, we performed an integrative analysis of the SUT gene family in this study. …”
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Task-Driven Computing Offloading and Resource Allocation Scheme for Maritime Autonomous Surface Ships Under Cloud–Shore–Ship Collaboration Framework by Supu Xiu, Ying Zhang, Hualong Chen, Yuanqiao Wen, Changshi Xiao

“…Therefore, we design a cloud–shore–ship collaboration framework, which integrates ship networking and cloud/edge computing and design the respective task collaboration process. …”
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An Approach To Study The Effects of GBP/USD Exchange Rate and Gold Prices on Brent Oil Prices Using Autoregressive Distributed Lag (ARDL) by Shaho Muhammad Wstabdullah, Muhammed Ali Kamal, Hozan Khalid Hamarashid

“…Autoregressive Distributed Lag (ARDL) is possible when cointegration analysis is applied to experimentally to shape the relationship between the variables without considering the regressors are stationary at its first difference or level, there is an integration of order one or both of the variables are mixed. …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…In this work, we introduce a novel framework called Datalab as a Service which integrates cutting-edge and open-source technologies to offer an online platform designed for both resource providers and researchers. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…To fill this gap, this study integrates explainable artificial intelligence, specifically SHapley Additive exPlanations (SHAP), thus enhancing the interpretability of the model. …”
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Extended reality technology – a new component in industrial engineering and production systems by A. S. Zuev, M. A. Makushchenko, M. E. Ivanov, E. S. Merkulov

“…The authors have made and explained the conclusion on practicability of integrating extended reality technology based on a universal hardwaresoftware complex that provides VR, AR and MR services corresponding to the composition of a given task within the technological process or the operating mode chosen by a user. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…The model processes grid-like image patches effectively and reduces computational complexity by integrating a Patch Embedding layer. Whereas the Xception blocks use depth-wise separable convolutions for hierarchical feature extraction, the LWFT blocks capture long-range dependencies and fine-grained qualities. …”
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Seasonal recurrence and modular assembly of an Arctic pelagic marine microbiome by Taylor Priest, Ellen Oldenburg, Ovidiu Popa, Bledina Dede, Katja Metfies, Wilken-Jon von Appen, Sinhué Torres-Valdés, Christina Bienhold, Bernhard M. Fuchs, Rudolf Amann, Antje Boetius, Matthias Wietz

“…Furthermore, the structuring of genetic diversity within functions over time indicates that environmental selection pressure acts heterogeneously on microbiomes across seasons. By integrating taxonomic, functional and environmental information, our study provides fundamental insights into how microbiomes are structured under pronounced seasonal changes in understudied, yet rapidly changing polar marine ecosystems.…”
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Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization by Suwoong Lee, Yunho Jeon, Seungjae Lee, Junmo Kim

“…., FLOPs and parameters), our method outputs a tailored network that automatically takes the budget into account during training and satisfies the target budget. During the integrated training and pruning process, our method adaptively controls sparsity regularization and selects important weights that can help maximize the accuracy within the target budget. …”
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Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM by Annisa Kesy Garside, Tyas Yuli Rosiani, Adelya Amanda, Thomy Eko Saputro, Eduardo e Oliveira

“…A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traffic Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). …”
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FlowMFD: Characterisation and classification of tor traffic using MFD chromatographic features and spatial–temporal modelling by Liukun He, Liangmin Wang, Keyang Cheng, Yifan Xu

“…Then MFD chromatographic features (MFDCF) are designed to represent the pattern. Those features integrate multiple low‐dimensional TSFs into a single plane and retain most pattern information. …”
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Chronic Functional Constipation and Encopresis in Children in Relationship with the Psychosocial Environment by Claudia Olaru, Smaranda Diaconescu, Laura Trandafir, Nicoleta Gimiga, Radian A. Olaru, Gabriela Stefanescu, Gabriela Ciubotariu, Marin Burlea, Magdalena Iorga

“…Functional constipation is an issue for both the patient and his/her family, affecting the patient’s psychoemotional balance, social relations, and their harmonious integration in the school environment. We aimed to highlight the connection between chronic constipation and encopresis and the patient’s psychosocial and family-related situation. …”
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Project Portfolio Resource Risk Assessment considering Project Interdependency by the Fuzzy Bayesian Network by Libiao Bai, Kaimin Zhang, Huijing Shi, Min An, Xiao Han

“…In this method, the project portfolio resource risk factors are first identified by taking project interdependency into consideration, and then the Bayesian network model is developed to analyze the risk level of the identified risk factors in which expert judgments and fuzzy set theory are integrated to determine the probabilities of all risk factors to deal with incomplete risk data and information. …”
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Secondary Vitrectomy with Internal Limiting Membrane Plug due to Persistent Full-Thickness Macular Hole OCT-Angiography and Microperimetry Features: Case Series by Dominika Wrzesińska, Katarzyna Nowomiejska, Dominika Nowakowska, Mario Damiano Toro, Vincenza Bonfiglio, Michele Reibaldi, Teresio Avitabile, Robert Rejdak

“…Results. ILM flap was integrated in all cases with V-shape of closure, and atrophy was found in one case, with the largest diameter of FTMH. …”
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Physics-Informed Denoising Model for Dynamic Data Recovery of Power Systems by Jian Li, Guoqiang Lu, Yongbin Li, Dongning Zhao, Huaiyuan Wang, Yucheng Ouyang

“…They are transformed into physical constraints and subsequently incorporated into the loss function of stacked denoising autoencoder (SDAE) to cleanse noisy data. By integrating the powerful learning capabilities of ML with the rigorous constraints of physical laws, the noisy data recovered by PIDM can better satisfy the dynamic equations. …”
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Abusive leadership and turnover intention: How employee and work engagement act as shields by Syamsul Hadi, Eni Sulistyawati, Kusuma Chandra Kirana, Cindy Alfianuri Imas Dianti, Eni Purnasari, Felix Onoriode Ashakah

“…This study aims to validate a structural model integrating employee engagement and work engagement as mediators between abusive leadership and turnover intention, addressing a gap in the current literature. …”
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Validity of Palmar Pallor for Diagnosis of Anemia among Children Aged 6–59 Months in North India by Arun Kumar Aggarwal, Jaya Prasad Tripathy, Deepak Sharma, Ajith Prabhu

“…Introduction. The Integrated Management of Childhood and Neonatal Illness (IMNCI) recommends the use palmar pallor to diagnose anaemia. …”
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Strategy and mechanism of One Health governance: case study of China by Xinchen Li, Yanyan Zhang, Qiyu Zhang, Jingshu Liu, Zelin Zhu, Xinyu Feng, Lefei Han, Xiaoxi Zhang

“…This study aims to evaluate China's current One Health governance framework, identify key strengths and gaps, and provide recommendations for establishing a more integrated and effective system. Methods: A qualitative approach was employed, including in-depth interviews, policy analysis, and a review of existing literature, to evaluate the strengths and gaps in China's One Health framework. …”
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Design Optimization for Vibration Reduction of Viscoelastic Damped Structures Using Genetic Algorithms by Zhengchao Xie, W. Steve Shepard Jr., Keith A. Woodbury

“…While the targeted response is ultimately at the discretion of the designer, a few different choices for the fitness function are shown along with their corresponding impact on the vibratory response. By integrating the FEM code within the GA routine, it is easier to include the frequency-dependence of both the shear modulus and the loss factors for the viscoelastic layer. …”
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