Industry 4.0 enabled calorimetry and heat transfer for renewable energy systems by Emmanuel O. Atofarati, Christopher C. Enweremadu

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Hybrid high-performance computing enhanced machine learning framework for nano-thermal conductivity in MWNT-oil-based solar cooking systems by Nischal P. Mungle, Sumit Kumar, Dnyaneshwar M. Mate, Sham H. Mankar, Tejas R. Patil, Hirkani Padwad, Niteen T. Kakade, Nilesh Shelke, Haytham F. Isleem, Vikrant S. Vairagade

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Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading by Ibrahim A. Elgendy, Ammar Muthanna, Abdullah Alshahrani, Dina S. M. Hassan, Reem Alkanhel, Mohamed Elkawkagy

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Q-learning-based exponential distribution optimizer with multi-strategy guidance for solving engineering design problems and robot path planning by Fengbin Wu, Shaobo Li, Junxing Zhang, Liya Yu, Xuan Xiong, Libang Wu

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Computational simulation of short-range order structures in high-entropy alloys: a review on formation patterns, multiscale characterization, and performance modulation mechanisms by Hongyang Liu, Bo Chen, Rong Chen, Jingzhi He, Dongdong Kang, Jiayu Dai

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Artificial Intelligence Applied to Computational Fluid Dynamics and Its Application in Thermal Energy Storage: A Bibliometric Analysis by Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu, Emiliano Borri, Luisa F. Cabeza

“…Recent advancements in artificial intelligence further enhanced computational fluid dynamics capabilities, improving computational efficiency and predictive accuracy. …”
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Exploring the role of Casson hybrid nanofluid flow through a stretching cylinder with a significant impact of heat source/sink: A computational analysis by Gunisetty Ramasekhar, A. Divya, P. D. Selvi, Ramaiah Narayanagari, R. Chandra Sekhar Reddy, Shaik Jakeer, Seethi Reddy Reddisekhar Reddy, Sangapatnam Suneetha, Nehad Ali Shah, Shams Forruque Ahmed

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DeepSeek vs. ChatGPT vs. Claude: A comparative study for scientific computing and scientific machine learning tasks by Qile Jiang, Zhiwei Gao, George Em Karniadakis

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On-Demand Gait-Synchronous Electrical Cueing in Parkinson's Disease Using Machine Learning and Edge Computing: A Pilot Study by Ardit Dvorani, Constantin Wiesener, Christina Salchow-Hommen, Magdalena Jochner, Lotta Spieker, Matej Skrobot, Hanno Voigt, Andrea Kuhn, Nikolaus Wenger, Thomas Schauer

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Safety After Dark: A Privacy Compliant and Real-Time Edge Computing Intelligent Video Analytics for Safer Public Transportation by Johan Barthelemy, Umair Iqbal, Yan Qian, Mehrdad Amirghasemi, Pascal Perez

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A case study of the energy performance of A-J hostel block in IIM, Bangalore by Kirti Nikam, Akash KB

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Real-Time Semantic Segmentation of 3D LiDAR Point Clouds for Aircraft Engine Detection in Autonomous Jetbridge Operations by Ihnsik Weon, Soongeul Lee, Juhan Yoo

“…For the segmented aircraft engine parts, the centroid of the grouped data was computed to determine the 3D position of the aircraft engine. …”
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INVESTIGATION OF KROHN’S ALGORITHM AND ITS MODIFICATION FOR VARIOUS BASIC DATA by Valery Grigoryevich Kobak, Dmitry Vyacheslavovich Titov, Oleg Anatolyevich Zolotykh

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Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam by M. H. Nguyen, N. T. Nguyen, G. Y. I. Ryadi, M. V. Nguyen, T. L. Duong, C.-H. Lin, T. B. Nguyen

“…Recently, Google Earth Engine (GEE) is a cloud-based geospatial analysis platform, which allows users to freely exploit the availability of satellite imagery and harness their computing capacity. …”
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Enhanced sensor web services by incorporating IoT interface protocols and spatio-temporal data streams for edge computing-based sensing by Dong Chen, Shaoju Wang, Chao Wang, Xiang Zhang, Nengcheng Chen

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Insights into thermos-chemical attack of CMAS+NaVO3 mixtures on YSZ materials: an experimental and computational DFT study by Huanjie Fang, Wenqian Wang, Jianhao Yu, Yongxin Wang, Xiaodong He, Chongqing Di, Jibin Pu, Kazuhito Nishimura, Weize Wang

“…Abstract Accompanied with working condition of advanced aero-engine becoming harsh, the state-of-art 6–8 wt.% Y2O3-stabilized-zirconia (YSZ) thermal barrier coatings (TBCs) degradation aroused by environmental deposits (CMAS and molten salt) has attracted growing concerning. …”
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Computational analysis for thermo-diffusion applications of concentrated tri-hybrid nanoparticles with nonlinear radiated effects: the non-classical thermal model by Iskander Tlili

“…The tri-hybrid nanofluids are an engineered class of nanomaterials, possessing effective heat transfer properties, promoting new applications in advanced energy systems, solar thermal collectors and heat exchangers. …”
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SenseRisc: An instrumented smart shirt for risk prevention in the workplace by Christian Tamantini, Fabrizio Marra, Joshua Di Tocco, Stefano Di Modica, Antonio Lanata, Francesca Cordella, Maurizio Ferrarin, Francesco Rizzo, Mara Stefanelli, Maddalena Papacchini, Corrado Delle Site, Alessio Tamburrano, Carlo Massaroni, Emiliano Schena, Loredana Zollo, Maria Sabrina Sarto

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Optimising computational efficiency in dynamic modelling of proton exchange membrane fuel cell power systems using NARX network by Hai Vu, Daejun Chang

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Optimizing Geophysical Inversion: Versatile Regularization and Prior Integration Strategies for Electrical and Seismic Tomographic Data by Guido Penta de Peppo, Michele Cercato, Giorgio De Donno

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