Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This success highlights the effectiveness of the specialized approach in managing the complexities of selecting the clearest frame from video sequences. …”
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DLP 3D-Printed Mullite Ceramics for the Preparation of MOFs Functionalized Monoliths for CO₂ Capture by Arianna Bertero, Bartolomeo Coppola, Yurii Milovanov, Paola Palmero, Julien Schmitt, Jean-Marc Tulliani

“…Therefore, this research focused on the effect of the purity of the selected raw materials and of the microstructural porosity of 3D-printed ceramic substrates on the Metal Organic Frameworks (MOFs) coating efficiency. …”
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Research progress and mitigation strategies for pod shattering resistance in rapeseed by Li Liu, Hafiz Hassan Javed, Yue Hu, Yu-Qin Luo, Xiao Peng, Yong-Cheng Wu

“…In particular, it is essential to recognize that pod shatter, a complex trait, influenced by genetics, environment, agronomic practices, and harvest techniques. …”
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Optimization Problem for Probabilistic Time Intervals of Quasi-Deterministic Output and Self-Similar Input Data Packet Flow in Telecommunication Networks by G. I. Linets, R. A. Voronkin, G. V. Slyusarev, S. V. Govorova

“…To do this, it is required to apply complex probabilistic laws of distribution of self-similar flows. …”
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Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…As power grids become more complex, intelligent algorithms are critical for improving the efficiency of fault localization and isolation. …”
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NMR Evaluation of Shale Oil Mobility: Combined Pyrolysis and CO₂ Huff-N-Puff by Jianmeng Sun, Yibo Yao, Fujing Sun, Junlei Su, Jing Lu, Kun Liu, Peng Chi

“…Shale reservoirs exhibit a complex fluid state, with oil and water present in various forms. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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Experimental and Numerical Study on Flow and Heat Transfer Characteristics of Additively Manufactured Triply Periodic Minimal Surface (TPMS) Heat Exchangers for Micro Gas Turbine by Xiyuan Su, Yueliang Zhang, Yu Rao, Kirttayoth Yeranee, Xintong Wang

“…This paper proposes two compact, efficient, and lightweight heat exchangers based on triply periodic minimal surfaces (TPMSs). …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) predictive accuracy, and (iv) sensitivity to input uncertainty. …”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…However, realizing highly selective and sensitive detection of dopamine in complex biological environments remains a challenge. …”
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Antihypertensive Drug Recommendations for Reducing Arterial Stiffness in Patients With Hypertension: Machine Learning–Based Multicohort (RIGIPREV) Study by Iván Cavero-Redondo, Arturo Martinez-Rodrigo, Alicia Saz-Lara, Nerea Moreno-Herraiz, Veronica Casado-Vicente, Leticia Gomez-Sanchez, Luis Garcia-Ortiz, Manuel A Gomez-Marcos

“…Various antihypertensive drugs exhibit differential effects on PWV, but the extent to which these effects vary depending on individual patient characteristics is not well understood. Given the complexity of selecting the most appropriate antihypertensive medication for reducing PWV, machine learning (ML) techniques offer an opportunity to improve personalized treatment recommendations. …”
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Sensitivity of Band-Pass Filtered In Situ Low-Earth Orbit and Ground-Based Ionosphere Observations to Lithosphere–Atmosphere–Ionosphere Coupling Over the Aegean Sea: Spectral Analy... by Wojciech Jarmołowski, Anna Belehaki, Paweł Wielgosz

“…This study demonstrates a rich complexity of the time–frequency ionospheric signal spectrum, dependent on the measurement type and platform. …”
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Numerical Optimization of Metamaterial-Enhanced Infrared Emitters for Ultra-Low Power Consumption by Bui Xuan Khuyen, Pham Duy Tan, Bui Son Tung, Nguyen Phon Hai, Pham Dinh Tuan, Do Xuan Phong, Do Khanh Tung, Nguyen Hai Anh, Ho Truong Giang, Nguyen Phuc Vinh, Nguyen Thanh Tung, Vu Dinh Lam, Liangyao Chen, YoungPak Lee

“…This focused emission reduced energy waste at unnecessary wavelengths, improving efficiency compared to traditional blackbody emitters. …”
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A deep Reinforcement learning-based robust Intrusion Detection System for securing IoMT Healthcare Networks by Jamshed Ali Shaikh, Chengliang Wang, Muhammad Wajeeh Us Sima, Muhammad Arshad, Muhammad Owais, Dina S. M. Hassan, Reem Alkanhel, Mohammed Saleh Ali Muthanna

“…The methodology begins with Enhanced Mutual Information Feature Selection (MIFS) to preprocess the CICIoMT2024 dataset, selecting the most relevant features while reducing noise and computational complexity. …”
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Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models by Alfonso Prosperi, Michele Longo, Paul A. Korswagen, Giorgia Giardina, Jan G. Rots

“…The EMM-based macro-models are the most computationally efficient, with TSRCM requiring 1.5 times the CPU time of EMM, and the micro-model requiring twice as much. …”
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TCGADownloadHelper: simplifying TCGA data extraction and preprocessing by Alexandra Anke Baumann, Alexandra Anke Baumann, Olaf Wolkenhauer, Olaf Wolkenhauer, Olaf Wolkenhauer, Markus Wolfien, Markus Wolfien

“…Overall, this pipeline enables researchers to efficiently navigate the complexities of TCGA data extraction and preprocessing. …”
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Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models by Yusra Abdulrahman, M. A. Mohammed Eltoum, Abdulla Ayyad, Brain Moyo, Yahya Zweiri

“…The visual inspection of aero-engine blades is a complex process that requires extensive knowledge and experience. …”
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Does Socioeconomic and Environmental Factors Exacerbate Undernourishment in Asia and Africa? by Neng Zulfa Azhar, Dito Alif Pratama, Amanca Pamalina Lapasa

“… This study investigates the impact of socioeconomic and environmental factors on undernourishment, across seven selected countries in Asia and Africa from 2001 to 2020. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…The experimental outcomes demonstrate that multimodal analysis may efficiently increase the identification strength and accuracy, especially when majority vote and bagging are employed for late fusion.…”
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Sulfonic acid-functionalised zeolites for fructose dehydration into 5-hydroxymethylfurfural by Huaizhong Xiang, Yao Zhang, Xin Zhong, Boji Wang, Charalampos Drivas, Mark A Isaacs, Aina Syahida Jamal, Zhipeng Qie, Qiang Zhang, Shaojun Xu, Jesús Esteban, Christopher M A Parlett, Xiaolei Fan

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