Enhancing Unmanned Aerial Vehicle Path Planning in Multi-Agent Reinforcement Learning through Adaptive Dimensionality Reduction by Haotian Shi, Zilin Zhao, Jiale Chen, Mengjie Zhou, Yang Liu

“…This study presents a novel approach to optimizing collaborative navigation for UAVs using multi-agent reinforcement learning (MARL). …”
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AN INNOVATIVE APPROACH TO ENHANCING SOFTWARE DEVELOPMENT EFFICIENCY THROUGH AGILE METHODOLOGIES by Harem Ali

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Engineering education on sustainability and the reuse of electronic components: a novel, hands-on educational method that emphasizes student creativity by Nikolaos Nikoloudakis, Maria Rangoussi, Georgia Liarakou, Panagiotis Sinioros

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Modal and Vibration Analysis of Filter System in Petrochemical Plant by Zhongchi Liu, Ji Wang, Wie Min Gho, Xiao Liu, Xuebing Yu

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MRD: A Linear-Complexity Encoder for Real-Time Vehicle Detection by Kaijie Li, Xiaoci Huang

“…To address these limitations, this study introduces Mamba RT-DETR (MRD), an optimized architecture featuring three principal innovations: (1) We devise an efficient vehicle detection Mamba (EVDMamba) network that strategically integrates a linear-complexity state space model (SSM) to substantially mitigate computational overhead while preserving feature extraction efficacy. (2) To counteract the constrained receptive fields and suboptimal spatial localization associated with conventional SSM sequence modeling, we implement a multi-branch collaborative learning framework that synergistically optimizes channel dimension processing, thereby augmenting the model’s capacity to capture critical spatial dependencies. (3) Comprehensive evaluations on the BDD100K benchmark demonstrate that MRD architecture achieves a 3.1% enhancement in mean average precision (mAP) relative to state-of-the-art RT-DETR variants, while concurrently reducing parameter count by 55.7%—a dual optimization of accuracy and efficiency.…”
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Differentiating between adrenocortical carcinoma and pheochromocytoma by a CT-based radiomics model: a multicenter retrospective study by Yinyao Chao, Hongzhang Zhu, Wenyi Yang, Haohua Yao, Nan Ma, Xianda Chen, Jing Zhao, Huali Ma, Zhenhua Liu, Hui Han, Zhuowei Liu, Kai Yao, Yiyao Li, Peng Wu, Jingtong Zhang, Bin Li, Shengjie Guo

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Research on Personalized Course Resource Recommendation Method Based on GEMRec by Enliang Wang, Zhixin Sun

“…Compared with existing methods, GEMRec achieves 0.267, 0.265, and 0.297 on the Precision@10, Recall@10, and NDCG@10 metrics, respectively, significantly outperforming traditional collaborative filtering and other deep learning models. …”
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Modern principles of the radiation protection from sources of ionizing radiation in medicine. Part 2: radiation risks and development of the system of radiation protection by G. G. Onischenko, A. Yu. Popova, I. K. Romanovich, A. V. Vodovatov, N. S. Bashketova, O. A. Istorik, L. A. Chipiga, I. G. Shatsky, S. S. Sarycheva, A. M. Biblin, L. V. Repin

“…Main actions to reduce the patient doses and to improve the diagnostic image quality are performed on the hospital level by medical physicists in collaboration with medical staff and representatives of the vendor. …”
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A two-step sequential method for device-free localization using wireless sensor networks by Tingting Wang, Wendong Hua, Wei Ke

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Understanding the Energy Transition by Analyzing the IT Revolution. An Infrastructural Reading to Direct Design Approaches Toward Energy Sustainability by Davide Crippa, Massimiliano Cason Villa

“…Focusing mainly on this second approach, the paper investigates projects introducing an experimental model – communitarian, collaborative, horizontal, near –, using the IT metaphor as a critical-interpretive analysis capable of opening new reading and development scenarios. …”
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Environmental sustainability indicators applied to bioprocesses: a bibliometric analysis (2005–2024) by Anibal Alviz-Meza, Segundo Rojas-Flores, Ángel Darío González-Delgado

“…Biblioshiny software in RStudio was used to categorize and evaluate the contributions of authors, countries, institutions, and journals. Their collaborative networks were also visualized using VOSviewer. …”
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Synthetic data generation: a privacy-preserving approach to accelerate rare disease research by Jorge M. Mendes, Aziz Barbar, Marwa Refaie

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Contemporary Recommendation Systems on Big Data and Their Applications: A Survey by Ziyuan Xia, Anchen Sun, Jingyi Xu, Yuanzhe Peng, Rui Ma, Minghui Cheng

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Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT by Pingdi Zhou, Jiajun Cheng

“…Advancements in computational tools, including neural machine translation (NMT) and large language models (LLMs), have revolutionized literary stylistics and opened new avenues in corpus-based translation studies (CBTS). …”
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Information Communication Technologies in Teaching English as a Foreign Language: Analysing EFL Teachers’ TPACK in Czech Elementary Schools by Dev Raj Paneru

“…It advocates a ‘learning by doing’ approach on (social) construction to better understand how teachers develop technological and/or computer-assisted language learning competency for teaching and practice in an English as a Foreign Language environment. …”
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A Metadata Checklist and Data Formatting Guidelines to Make eDNA FAIR (Findable, Accessible, Interoperable, and Reusable) by Miwa Takahashi, Tobias Guldberg Frøslev, Joana Paupério, Bettina Thalinger, Katy Klymus, Caren C. Helbing, Cecilia Villacorta‐Rath, Katherine Silliman, Luke R. Thompson, Sean P. Jungbluth, Suk Yee Yong, Stephen Formel, Gareth Jenkins, Martin Laporte, Bruce Deagle, Sachit Rajbhandari, Thomas Stjernegaard Jeppesen, Andrew Bissett, Christopher Jerde, Erin E. Hahn, Lynn M. Schriml, Christopher Hunter, Peggy Newman, Peter Woollard, Lynsey R. Harper, Nicholas Dunn, Katrina West, Rachel Haderlé, Shaun Wilkinson, Neha Acharya‐Patel, Mark Louie D. Lopez, Guy Cochrane, Oliver Berry

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Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning by Abimbola Efunogbon, Enjie Liu, Renxie Qiu, Taiwo Efunogbon

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Role of transcriptomics in the study of oral cancer by Prabhu Manickam Natarajan, Vidhya Rekha Umapathy

“…The review also addresses the future directions and challenges in the field, emphasizing the need for advanced computational tools and interdisciplinary collaboration to fully harness the potential of transcriptomics in transforming oral cancer care.…”
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Driving the Energy Transition: Large-Scale Electric Vehicle Use for Renewable Power Integration by Pankaj Sarsia, Akhileshwer Munshi, Fiza Sheikh, Kavita Yadav, Pushpanjali Shukla

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Federated learning system on autonomous vehicles for lane segmentation by Mohab M. Eid Kishawy, Mohamed T. Abd El-Hafez, Retaj Yousri, M. Saeed Darweesh

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