A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Compared with existing fault diagnosis methods, our method not only has the advantages of easy extraction of effective data features, higher accuracy, and strong generalization ability but can also detect an abnormal state indicating a coming fault and identify its type, hence enabling the preparation of an appropriate advance solution.…”
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Robot welding trajectory optimization based on intersecting line welds by FAN Chenhui, LIU Huan, LIU Xuan, TANG Xiang

“…A method was proposed to apply an average fuzzy affiliation function to screen out the best solution of the Pareto front, and then the optimal continuous motion trajectory of energy consumption was planned.ResultsThe experimental results show that the method improves the optimal time, the balance of shocks and the continuity of acceleration, and improves the optimization ability by 22.83% and 25.63% compared to the standard particle swarm and the genetic algorithm, respectively. …”
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Recent Advances in Translational Electromagnetic Energy Harvesting: A Review by Marco Valerio Perrozzi, Mirco Lo Monaco, Aurelio Somà

“…Among the vibrational harvesters, translational electromagnetic ones (TEMEHs) are a promising solution due to their simple and reliable architecture and their ability to harvest energy at low frequencies. …”
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Development of an Internet of Things-Based Ultra-Pure Water Quality Monitoring System by Mehmet Akif Öztürk, Emre Ünsal, Ahmet Fırat Yelkuvan

“…Rigorous tests conducted at Sivas Numune Hospital validated the system’s reliability, accuracy, and ability to maintain stringent ultra-pure water quality standards. …”
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Going beyond borders after a pandemic: Preparedness of teachers to embrace E-learning in a small Philippine university by DYANIKA NOLASCO, DANISSE MAE HERNANDEZ

“…The study suggests that teachers' readiness to adopt e-learning as an alternative to traditional classroom teaching could be a powerful solution to the significant challenges posed by the pandemic. …”
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Comparative education in search of a processual model for dealing with cultural diversity by Renata Nowakowska-Siuta

“…As the world becomes more and more culturally diverse, an accurate knowledge of the influence of cultural factors on the mental processes of an individual and the construction of social capital become increasingly important for our ability to effectively understand differences in culture. …”
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PENINGKATAN MENULIS ESAI TENAGA PENDIDIK UNTUK SELEKSI CALON GURU PENGGERAK (CGP) MENGGUNAKAN MODEL COOPERATIVE INTEGRATED READING AND CONVERSATIONS (CIRC) BERBASIS LIFE SKILLS by Aidi Fitri

“…This is because educators' ability to write essays is very low. Therefore, appropriate learning techniques are needed to improve these skills. …”
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A two‐stage procurement model for humanitarian relief supply chains by Mauro Falasca, Christopher W. Zobel

“…Design/methodology/approach – – This research presents a two‐stage stochastic decision model with recourse for procurement in humanitarian relief supply chains, and compares its effectiveness on an illustrative example with respect to a standard solution approach. Findings – – Results show the ability of the new model to capture and model both the procurement process and the uncertainty inherent in a disaster relief situation, in support of more efficient and effective procurement plans. …”
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EBBA-detector: An effective detector for defect detection in solar panel EL images with unbalanced data. by Yixing Zhang, Ziyan Mo, Zhuan Xin, Xianyu Chen, Yuqin Deng, Xuan Dong

“…The EBFPN captures defect features of different sizes, significantly improving the recognition ability for small defects, while the B-A Module suppresses background interference, guiding the model to focus more on defect locations. …”
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High quality factor refractive index sensor based on double-sided all-dielectric two-dimensional grating by Zhiqiang Wei, Yafei Huang, Lijun He, Fei Qian

“…The sensor characteristics of the incident angle on the device are analyzed, and the normalized electric field distribution indicates that the change of the incident angle has a significant modulation ability for the resonance energy distribution. The proposed sensor is independent of polarization state, easy to control and integrate, and has broad application prospects in fields such as liquid solution detection, ocean surveys, and position sensing.…”
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Reinforcement learning-enhanced adaptive sliding mode control for nonlinear systems by Omnia Youssef, Mohamed Wafa, Raafat Shalaby

“…The proposed ARSMC framework marks a significant advancement in nonlinear control, providing a robust solution for systems with complex dynamics and parameter uncertainties. …”
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Privacy-Preserving Live Video Analytics for Drones via Edge Computing by Piyush Nagasubramaniam, Chen Wu, Yuanyi Sun, Neeraj Karamchandani, Sencun Zhu, Yongzhong He

“…The use of lightweight drones has surged in recent years across both personal and commercial applications, necessitating the ability to conduct live video analytics on drones with limited computational resources. …”
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Short-term neural adaptation to simultaneous bifocal images. by Aiswaryah Radhakrishnan, Carlos Dorronsoro, Lucie Sawides, Susana Marcos

“…Simultaneous vision is an increasingly used solution for the correction of presbyopia (the age-related loss of ability to focus near images). …”
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Parallel Algorithm for Solving the Graph Isomorphism Problem by Vladimir Vasilyevich Vasilchikov

“…Such applications have the ability to generate parallel branches of computation directly during program execution and dynamically redistribute work between computing modules. …”
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Generative Bayesian Computation for Maximum Expected Utility by Nick Polson, Fabrizio Ruggeri, Vadim Sokolov

“…Generative methods only assume the ability to simulate from the model and parameters and as such are likelihood-free. …”
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An application of Newton’s interpolation polynomials to the zoonotic disease transmission between humans and baboons system based on a time-fractal fractional derivative with a pow... by Haroon D. S. Adam, Mohammed Althubyani, Safa M. Mirgani, Sayed Saber

“…Simulations demonstrate the model’s ability to represent real-world dynamics, providing valuable insights into effective interventions, including sterilization, food restrictions, and reduced human–baboon interactions. …”
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Low-voltage programming of RRAM-based crossbar arrays using MOS parasitic diodes by Sachin Maheshwari, Alex Serb, Themis Prodromakis

“…To mitigate this issue, we propose a new configuration—1-transistor-1-diode-1-resistor (1T1D1R)—in which diodes are used (including bulk source/drain parasitic diodes of the access transistor) to bypass the gating transistor during the programming operation (“write”). The proposed solution trades increased overhead in the layout area for a dramatic increase in the maximum achievable current drive on RRAM devices, resulting in the ability to deliver 1.5 mA+ with a voltage supply as low as 1.2 V using minimum-size devices (in our implementation). …”
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Dynamic birefringence and chirality of magnetically controllable assemblies of anisotropic plasmonic nanoparticles in dispersion by Hyojung Kang, Yoojung Jeon, Kyungnae Baek, SeonJu Park, Jayoon Lee, Tae Soup Shim, Jerome K. Hyun, So-Jung Park

“…Abstract The ability to control the orientation and arrangement of plasmonic nanoparticles with shape anisotropy offers a promising route to achieving highly tunable optical properties. …”
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Learning interpretable network dynamics via universal neural symbolic regression by Jiao Hu, Jiaxu Cui, Bo Yang

“…We believe that our tool can serve as a universal solution to dispel the fog of hidden mechanisms of changes in complex phenomena, advance toward interpretability, and inspire further scientific discoveries.…”
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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

“…To provide an optimal solution to these generic problems, the proposed research work aims to implement a deep learning-based pervasive computing architecture to address these problems. …”
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