DC serial arc fault recognition in aircraft using machine learning techniques by Raul Carreira Rufato, Thierry Ditchi, Cyril Van de Steen, Thierry Lebey, Yacine Oussar

“…The problem becomes harder with the voltage levels increase expected in More Electric Aircraft (MEA) and for all electric or hybrid propulsion, pushing studies to consider more carefully the phenomenon of arc faults. …”
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Faster-Than-Real-Time Simulation of Lithium Ion Batteries with Full Spatial and Temporal Resolution by Sandip Mazumder, Jiheng Lu

“…Finally, it is demonstrated for an arbitrary rapidly changing transient load typical of a hybrid electric vehicle drive cycle. The model is able to predict the cell voltage of a 15-minute drive cycle in less than 12 seconds of compute time on a laptop with a 2.33 GHz Intel Pentium 4 processor.…”
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A Comparative Study between Via-Hole and Via-Free Grounded Coplanar Waveguide to Microstrip Transitions on Thin Polymer Substrate by Mohammed El Gibari, HongWu Li

“…These via-free and via-holes transitions are very useful and requested in component packaging, on-wafer measurements of microstrip based microwave integrated circuits, and also the interconnections in hybrid circuits including both microstrip and coplanar structures.…”
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Quality of Service Comparison of DSDV and DSR Routing Protocols for V2V Communication in VANET by ketut bayu yogha bintoro, Muhammad Wildan Mukholladun

“…The study also highlights the potential for a hybrid protocol that integrates the stability of DSDV with the efficiency of DSR to address diverse VANET challenges and enhance overall QoS performance …”
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Using Hydrogen Peroxide for Rocket Fuel Tank Pressurization: Innovations, Advantages, and Challenges by Mykhailo Vorobei, Mykola Bondarenko

“…Future research directions focus on improving catalyst efficiency, developing advanced materials, and integrating H₂O₂ systems with hybrid and liquid rocket engines. This comprehensive analysis underscores H₂O₂'s potential to revolutionize rocket fuel tank pressurization, paving the way for more efficient and sustainable space exploration technologies. …”
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Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks by Huifeng Wu, Junjie Hu, Jiexiang Sun, Danfeng Sun

“…To overcome these drawbacks, we propose a hybrid edge-cloud IoT base station system, called BSIS. …”
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Revised Rebound Hammer and Pull-Out Test Strength Curves for Fiber-Reinforced Concrete by Peng Deng, Yan Sun, Yan Liu, Xiaoxiao Song

“…However, using these strength curves to predict the compressive strength of carbon fiber-reinforced concrete (CFRC), polypropylene fiber-reinforced concrete (PFRC), and carbon-polypropylene hybrid fiber-reinforced concrete (HFRC) may lead to considerable uncertainties. …”
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Oxygen Defect-Mediated Magnetism in Fe-C Codoped TiO2 by Zhaorui Zou, Zhongpo Zhou, Haiying Wang, Meng Du

“…The calculated net moment values are in the order of Fe-C codoped TiO2 > C doped TiO2 with oxygen vacancies existing, in accord with the experimental results. The hybridization of Fe 3d, C 2p, and O 2p (nearest to the Fe defect) led to the spin split of Fe 3d, C 2p, and O 2p which contributed to the ferromagnetism.…”
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Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

“…Herein, we propose a concept of deep empirical neural network (DENN) that is a hybridization of a deep neural network and an empirical model, which enables seeing through an opaque scattering medium in an untrained manner. …”
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Distance and Density Similarity Based Enhanced k-NN Classifier for Improving Fault Diagnosis Performance of Bearings by Sharif Uddin, Md. Rashedul Islam, Sheraz Ali Khan, Jaeyoung Kim, Jong-Myon Kim, Seok-Man Sohn, Byeong-Keun Choi

“…The proposed k-NN classifier is used to enhance the diagnostic performance of a bearing fault diagnosis scheme, which classifies different fault conditions based upon hybrid feature vectors extracted from acoustic emission (AE) signals. …”
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Synthesis of Polymer Assembled Mesoporous CaCO3 Nanoparticles for Molecular Targeting and pH-Responsive Controlled Drug Release by Jinjing Xing, Yeqiang Cai, Yikun Wang, Haifu Zheng, Yujia Liu

“…In this paper, we use mesoporous CaCO3 nanoparticles as intelligent carrier, sodium alginate, and chitosan as alternating assembly materials, folic acid as target molecules, and exploit layer-by-layer assembly technology to achieve sensitive molecular targeting and pH response drug release. Mesoporous CaCO3 hybrid nanoparticles have high drug loading on doxorubicin. …”
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Sustainable Development, Digital Democracy, and Open Government: Co-Creation Synergy in Ukraine by Khutkyy Dmytro, Matveieva Olga

“…The combination of real-life, online, and hybrid consultation formats enabled elements of participatory, direct, and consensus democracy in post-revolutionary and pre-full-scale invasion Ukraine.…”
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Modulation of Tyrosine Hydroxylase, Neuropeptide Y, Glutamate, and Substance P in Ganglia and Brain Areas Involved in Cardiovascular Control after Chronic Exposure to Nicotine by Merari F. R. Ferrari, Emerson F. Coelho, Karen L. G. Farizatto, Gerson Chadi, Debora R. Fior-Chadi

“…Immunohistochemical and in situ hybridization data demonstrated increased expression of TH in brain and ganglia related to blood pressure control, preferentially in SHR, after nicotine exposure. …”
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The Role of Organizational Learning in Mediating the Relationship between Business Model Design and Innovation Performance by Jia Zhang, Hui Xu, Xiangxia Xiao

“…This paper focused on exploring the role of organizational learning in mediating the relationship between business model design and innovation performance using hierarchical hybridized linear regression analysis (HHLRA). Furthermore, this paper shows that organizational learning is based on variables that mediate the relationship between training and performance and improve performance through its positive effect on organizational learning. …”
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Modeling Effective Budgeting and Production For Sustainable Competitive Advantage: Evidence from Kufa Cement Factory, Iraq by ALAWAED Husam Muhammed Ali, AL-KAWAZ Salah Mahdi Jawad, ABBAS Ali Abdulhassan, ALNASRAWI Salam Adil Abbas

“…Two techniques are integrated as a hybrid model based on time-driven activity budgeting with CP for the reciprocal relationship between contemporary management accounting techniques. …”
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Intelligent Models and Architectures for Global Learning-Oriented Cooperation by Ana M. Gonzalez de Miguel, Antonio Sarasa-Cabezuelo

“…Our architectural designs serve to dynamically generate cooperative knowledge and behaviour using hybrid registries and intelligent engines. The registries store knowledge and behaviour descriptions. …”
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Enhancing environmental monitoring of harmful algal blooms with ConvLSTM image prediction by Sung Jae Kim, Yongbok Cho

“…This study advances environmental monitoring by predicting the spatial and temporal distribution of Harmful Algal Blooms (HABs) in the Republic of Korea through a hybrid approach that combines geostatistical and deep learning methods. …”
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Empowering Diabetes Management Through Blockchain and Edge Computing: A Systematic Review of Healthcare Innovations and Challenges by K. Tlemcani, K. Azbeg, E. Saoudi, L. Fetjah, O. Ouchetto, S. Jai Andaloussi

“…We analyzed 52 studies, categorizing findings into three key areas: enhanced data security and privacy through decentralized frameworks and tamper-proof storage; real-time data processing, enabled by edge computing for immediate analytics and alerts; and scalability, achieved via hybrid architectures that optimize data handling. …”
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MEVDT: Multi-modal event-based vehicle detection and tracking datasetDeep Blue Data by Zaid A. El Shair, Samir A. Rawashdeh

“…This dataset provides a synchronized stream of event data and grayscale images of traffic scenes, captured using the Dynamic and Active-Pixel Vision Sensor (DAVIS) 240c hybrid event-based camera. MEVDT comprises 63 multi-modal sequences with approximately 13k images, 5M events, 10k object labels, and 85 unique object tracking trajectories. …”
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Evaluation of the Wind Energy Potential in the Coastal Environment of Two Enclosed Seas by Florin Onea, Alina Raileanu, Eugen Rusu

“…Finally, it can be concluded that the coastal environments of the Black and the Caspian Seas can become in the near future promising locations for the wind energy extraction, as well as for the hybrid wind-wave energy farms that could play an important role also in the coastal protection.…”
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