LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

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Energy efficiency decision-making in non-energy intensive industries: content and social network analysis by Jonatas Campos Martins, Maria Isabel Wolf Motta Morandi, Daniel Pacheco Lacerda, Barbara Pisoni Bender Andrade

“…Originality Identifies authors and connections, the relationships between them and how these interactions contribute to the advancement of knowledge on the subject. Regarding energy efficiency, studies show that the real investment in initiatives in the industrial sector is below the full potential and that the artifacts used in the decision-making process have severe limitations when used in a complex and dynamic context. …”
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PLL-VO： An Efficient and Robust Visual Odometry Integrating Point-Line Features and Neural Networks by L. Zhao, Y. Yang, D. Ma, X. Lin, W. Wang

“…After selecting keyframes based on point feature counts and line feature overlap angles, we integrate convolutional neural networks (CNNs) and graph neural networks (GNNs) to enhance sparse matching, thereby improving both accuracy and computational efficiency. …”
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An enhanced GhostNet model for emotion recognition: leveraging efficient feature extraction and attention mechanisms by Jie Sun, Tianwen Xu, Yao Yao

“…The EGT model integrates GhostNet's efficient feature extraction, the Transformer's ability to capture global context, and a dual attention mechanism to selectively enhance critical features. …”
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Creating and Validating Hybrid Large-Scale, Multi-Modal Traffic Simulations for Efficient Transport Planning by Fabian Schuhmann, Ngoc An Nguyen, Jörg Schweizer, Wei-Chieh Huang, Markus Lienkamp

“…Mobility digital twins (MDTs), which utilize multi-modal microscopic (micro) traffic simulations and an activity-based demand generation, are envisioned as flexible and reliable planning tools for addressing today’s increasingly complex and diverse transport scenarios. Hybrid models may become a resource-efficient solution for building MDTs by creating large-scale, mesoscopic (meso) traffic simulations, using simplified, queue-based network-link models, in combination with more detailed local micro-traffic simulations focused on areas of interest. …”
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Dynamic 3D shape reconstruction under complex reflection and transmission conditions using multi-scale parallel single-pixel imaging by Zhoujie Wu, Haoran Wang, Feifei Chen, Xunren Li, Zhengdong Chen, Qican Zhang

“…Depth measurement and three-dimensional (3D) imaging under complex reflection and transmission conditions are challenging and even impossible for traditional structured light techniques, owing to the precondition of point-to-point triangulation. …”
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Engineered Magnetic-Functionalized Carbon Xerogels for Sustainable Arsenic Removal: Bridging Adsorption Efficiency with Regenerability by Sasirot Khamkure, Prócoro Gamero-Melo, Audberto Reyes-Rosas, Alejandro Zermeño-González, José Luis Álvarez-Cruz, Elim Albiter Escobar, Gabriela Eleonora Moeller-Chávez, Victoria Bustos-Terrones

“…Synergistic effects of magnetite incorporation, tailored pyrolysis, and H₂O₂ modification significantly improved arsenic selectivity and capacity in complex matrices, while enabling magnetic recovery.…”
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Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

“…Based on its promising performance with CoT prompting, we selected the GPT-4o-Mini model for subsequent fine-tuning, aiming to further enhance both its computational efficiency and accuracy. …”
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Unconventional phase metal heteronanostructures with tunable exposed interface for efficient tandem nitrate electroreduction to ammonia by Yangbo Ma, Liang Guo, Liang Chang, Weihua Guo, Tao Zhou, Fengkun Hao, Wenda Su, Jingwen Zhou, Guozhi Wang, Mingzheng Shao, Jihan Yu, Jinwen Yin, Yunhao Wang, Fu Liu, An Zhang, Kun Qian, Jie Wang, Xiuyun Zhang, Weijia Zhou, Shengqi Chu, Chongyi Ling, Lin Gan, Zhengxiao Guo, Zhanxi Fan

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Multicarrier dual-index permuted chaos shift keying system for efficiency improvement in chaotic communications by Bavatharani Gurusamy, Laxmikandan Thangavelu, Manimekalai Thirunavukkarasu

“…The proposed system improves the energy andspectrum efficiencies with a tradeoff in computational complexity. …”
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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…The proposed approach demonstrates superior frequency selectivity, adaptability, and computational efficiency, making it suitable for robust PQ disturbance identification and a wide range of signal-processing tasks.…”
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Transforming higher education with robotic process automation: enhancing efficiency, innovation, and student-centered learning by Vivek Bhardwaj, Mukesh Kumar

“…The findings underscore the transformative potential of RPA while highlighting the complexities of its integration into educational settings. …”
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Molecular mechanisms induced by phase modifiers used in hydrometallurgy: consequences on transfer efficiency and process safety by El Maangar, Asmae, Prévost, Sylvain, Dourdain, Sandrine, Zemb, Thomas

“…Finally, the consequences of these mechanisms on the extraction efficiency and selectivity are discussed.…”
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SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection by Alina L. Machidon, Andraz Krasovec, Veljko Pejovic, Octavian M. Machidon

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Enhanced Grounding DINO: Efficient Cross-Modality Block for Open-Set Object Detection in Remote Sensing by Zibo Hu, Kun Gao, Jingyi Wang, Zhijia Yang, Zefeng Zhang, Haobo Cheng, Wei Li

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Developing an Efficient Deep Learning-Based Trusted Model for Pervasive Computing Using an LSTM-Based Classification Model by Yang He, Shah Nazir, Baisheng Nie, Sulaiman Khan, Jianhui Zhang

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Selective Photothermal Therapy Using Antioxidant Nanoparticles Encapsulating Novel Near-Infrared-Absorbing Platinum(II) Complexes by Ryota Sawamura, Hiromi Kurokawa, Atsushi Taninaka, Takuto Toriumi, Yukio Nagasaki, Hidemi Shigekawa, Hirofumi Matsui, Nobuhiko Iki

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An algorithm for selecting the parameters of a supercapacitor as part of an energy storage system of an electrical complex in case of voltage dips by Tokarev I.S., Shklyarsky Ya.E., Skvortsov I.V., Vasilkov O.S.

“…In order to achieve the universality of the written algorithm for selecting a storage system based on supercapacitors, experiments were conducted to identify similar mathematical dependencies at different voltage and power levels of electrical complexes.…”
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Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems by Eni Haxhiraj, Desar Shahu, Elson Agastra

“…This paper presents a method of choosing a single solution in the Pareto Optimal Front of the multi-objective problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple Input, Multiple Output) systems. …”
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Rural Development Indicators Evaluation in Khabat District Educational Services as a Case Study (A Study in Rural Geography) by Hogir Jamil Ahmed

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