An Automated Method of Parametric Thermal Shaping of Complex Buildings with Buffer Spaces in a Moderate Climate by Jacek Abramczyk, Wiesław Bielak, Ewelina Gotkowska

“…The parameterization of an elaborated thermal qualitative model of buildings with buffer spaces and its configuration based on computer simulations of thermal operation of many discrete models are the specific features of the method. …”
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Sensitivity of Spiking Neural Networks Due to Input Perturbation by Haoran Zhu, Xiaoqin Zeng, Yang Zou, Jinfeng Zhou

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Morphometric Analysis of Subaxial Cervical Vertebra Pedicles in the Turkish Population by Hande Nur Taşdemir Batir, Hatice Güler, Burcu Kamaşak Arpaçay, İzzet Ökçesiz, Halil Dönmez, Güven Kahriman

“…This study aimed to determine the morphological features of subaxial cervical vertebrae of the adult Turkish population and to provide guidance for the pedicle screwing method. …”
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A compact microstrip antenna with dual thin slits for high-capacity data streaming in the 38 and 39 GHz bands for 5G applications by AbdulGuddoos S.A. Gaid, Ala'a N.S. Ali, Mohammad Ahmed Alomari

“…The antenna prioritizes broad bandwidth and high gain for efficient signal transmission. It features a compact design, printed on a Rogers RT/Duroid 5880 substrate with dimensions of 5 × 8.2 × 0.186 mm³ (εr = 2.2 and tanδ = 0.0009) and includes two thin slits integrated with the radiating patch. …”
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Nonlinear Fractional Evolution Control Modeling via Power Non-Local Kernels: A Generalization of Caputo–Fabrizio, Atangana–Baleanu, and Hattaf Derivatives by F. Gassem, Mohammed Almalahi, Osman Osman, Blgys Muflh, Khaled Aldwoah, Alwaleed Kamel, Nidal Eljaneid

“…This framework utilizes a power non-local fractional derivative (PFD), which is a generalized fractional derivative that unifies several well-known derivatives, including Caputo–Fabrizio, Atangana–Baleanu, and generalized Hattaf derivatives, as special cases. It uniquely features a tunable power parameter “<i>p</i>”, providing enhanced control over the representation of memory effects compared to traditional derivatives with fixed kernels. …”
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Benchmark dataset on feeding intensity of the pearl gentian grouper(Epinephelus fuscoguttatus♀×E. lanceolatus♂) by Haijing Qin, Yunchen Tian, Jianing Quan, Xueqi Cong, Qingfei Li, Jinzhu Sui

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Influence of a laser pulse on thermoelasticity with temperature dependence under the dual-phase-lag model using improved modified extended tanh function method by Wafaa B. Rabie, Hamdy M. Ahmed, Abdallah A. Syied, Assmaa Abd-Elmonem, Nagat A.A. Suoliman, Mohamed F. Ismail

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A deep-learning-based consistency test approach for Earth system models on HPC systems by Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv

“…The results show that the ESM-DCT can determine whether or not the new model simulations are statistically distinguishable from the original trusted ensembles in the case of the heterogeneous computing environment, compiling optimization option changes, and model parameter changes. …”
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Development of a data-driven neural network model for electron thermal transport in NSTX by H. Chung, C.Y. Lee, G.J. Choi, S.M. Kaye, B.P. LeBlanc, J.W. Berkery, Y.-S. Na

“…A data-driven electron thermal transport neural network (ETT-NN) model, trained on TRANSP interpretative analysis results of National Spherical Torus Experiment (NSTX), was developed to enable faster and more accurate ETT computation for spherical tokamaks (STs). The model incorporates both convolutional NNs and recurrent NNs, allowing it to simultaneously account for the spatial and temporal non-localities and multi-scale features of turbulent transport, which have been considered only in a limited manner in conventional models. …”
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Wheeled Permanent Magnet Climbing Robot for Weld Defect Detection on Hydraulic Steel Gates by Kaiming Lv, Zhengjun Liu, Hao Zhang, Honggang Jia, Yuanping Mao, Yi Zhang, Guijun Bi

“…Subsequently, the proposed kinematic model and trajectory tracking control method are validated through Python3 simulation and actual operation tests on a curved trajectory, demonstrating the rationality of the designed PID controller and control parameters. Finally, an intelligent software system for weld defect detection based on computer vision is developed. …”
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Toward Understanding Federated Learning over Unreliable Networks by Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang

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Exploring slip flow and heat transfer of power-law fluid past an induced magnetic stretching regime subject to Cattaneo-Christov flux theory by T.H. AlAbdulaal, Sohail Rehman, Hameed Ali, Usman Riaz, Sami Znaidia

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A compliant metastructure design with reconfigurability up to six degrees of freedom by Humphrey Yang, Dinesh K. Patel, Tate Johnson, Ke Zhong, Gina Olson, Carmel Majidi, Mohammad F. Islam, Teng Zhang, Lining Yao

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Successes and limitations of pretrained YOLO detectors applied to unseen time-lapse images for automated pollinator monitoring by Valentin Ștefan, Thomas Stark, Michael Wurm, Hannes Taubenböck, Tiffany M. Knight

“…We evaluated the generalisation of three lightweight YOLO detectors (YOLOv5-nano, YOLOv5-small, YOLOv7-tiny), previously trained on citizen science images, for detecting ~ 1,300 flower-visiting arthropod individuals in nearly 24,000 time-lapse images captured with a fixed smartphone setup. These field images featured unseen backgrounds and smaller arthropods than the training data. …”
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Numerical investigations on CdTe-based rectangular photonic waveguides by Istiak Ahmed Rasel, Md. Alamin Hossain Pappu, Jaker Hossain

“…Cadmium telluride (CdTe)-based photonic waveguides featuring an H-bend have been designed and computed in detail by COMSOL Multiphysics at an operating wavelength of 1.55 μm. …”
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Land Magnetic survey along a profile from Akaz to Rutba town and its applications by Baghdad Science Journal

“…These faults resulted in tectonic blocks with relative movements that could happen through the geological time, and they may be responsible for the tectonic features of the western desert. These faults could also responsible for the lateral and vertical variations that are noticed in subsurface rocks of the studied area. …”
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Low-Cost Universal Multi-Mode Digital Compensator Design for Flyback Converters With Full Digital Feedback by Yun Gwan Kim, Jae Bin Kim, Byeong Gi Jang, Jae Hyung Jang, Sang-Sun Yoo, Seok Kee Kim, Yeon Jae Jung, Young Gun Pu, Kang-Yoon Lee

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Optimization of polymer stake geometry by fea to enhance the retention force of automotive door panels by R. Martínez-Hinojosa, J.E. Garcia-Herrera, I.E. Garduño, H. Arcos-Gutiérrez, M.G. Navarro-Rojero, V.H. Mercado-Lemus, J.A. Betancourt Cantera

“…The optimized configuration – featuring a 10 mm height, 15.5 mm length, three reinforcements, and 0.5 mm clearance – increased strength by 33.8% (234.2 N vs. the traditional 175 N design) while reducing the required manufacturing area by 74%.…”
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AI4EF: Artificial Intelligence for Energy Efficiency in the building sector by Alexandros Menelaos Tzortzis, Georgios Kormpakis, Sotiris Pelekis, Ariadni Michalitsi-Psarrou, Evangelos Karakolis, Christos Ntanos, Dimitris Askounis

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An AI-based nutrition recommendation system: technical validation with insights from Mediterranean cuisine by Kyriakos Kalpakoglou, Lorena Calderón-Pérez, Noemi Boqué, Metin Guldas, Çağla Erdoğan Demir, Lazaros P. Gymnopoulos, Kosmas Dimitropoulos

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