Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator) by M. R. Russo, M. R. Russo, S. L. Bartholomew, S. L. Bartholomew, D. Hassell, D. Hassell, A. M. Mason, E. Neininger, A. J. Perman, D. A. J. Sproson, D. Watson-Parris, D. Watson-Parris, N. L. Abraham, N. L. Abraham

“…This method achieves a large reduction in the size of model data being produced for comparison with flight and other in situ data. …”
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ABOUT SOME FEATURES OF TRANSMISSION MODE FOR ACTIVE POWER OF ELECTRICAL LINE by Paţiuc V., Berzan V.P., Anisimov V., Cabac S., Postotonca S.

“…It enteritis that for the active character load of the active power input and power output of the line, so functions , and functions that characterize developments efficiency , power factor at the input line and the load power factor when the variable z. …”
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Machine learning algorithm for the rapid and accurate detection of Plasmodium falciparum by Mr Andrew Hill

“…Methods: Machine learning algorithms (MLA) consisting of a family of tiny (3,911 to 100,000 parameters) hybrid convolutional neural network / encoder-decoder models were developed which output a both a label {Parasite, Normal} and a confidence. …”
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Global MPPT optimization for partially shaded photovoltaic systems by T. Nagadurga, V. Dhana Raju, Abdulwasa Bakr Barnawi, Javed Khan Bhutto, Abdul Razak, Anteneh Wogasso Wodajo

“…From the simulation results, it was found that ChOA have shown higher conversion efficiency of 99.63% with maximum power output of 525.13 W when compared to other optimization algorithms for the given shading pattern condition. …”
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Creative generation and evaluation system of art design based on artificial intelligence by Song Gao

“…GANs demonstrate exceptional creativity but fall short in artistry and output diversity, making them ideal for exploratory and experimental art creation. …”
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Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes-Open source development. by Abdul Halim Poh, Mahmoud Moghavvemi, Cherng Shii Leong, Yee Ling Lau, Alireza Safdari Ghandari, Alexlee Apau, Faisal Rafiq Mahamd Adikan

“…The method proposed contributes towards (a) unlimited open source use, (b) a low-cost setup, (c) complete guide for any entomologist to adapt in terms of hardware and software, (d) simple to use, and (e) a lightweight data output for collective behavior analysis of mosquitoes. …”
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The Role of High-Intensity Interval Training (HIIT) in Neuromuscular Adaptations: Implications for Strength and Power Development—A Review by Chi-Hsiang Hung, Chun-Hsien Su, Dong Wang

“…HIIT presents a valuable, time-efficient complement to conventional training methods for improving strength, power, and neuromuscular efficiency.…”
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Performance analysis of an induction motor drive powered by a cascaded H-bridge multilevel inverter by Akshat, M. Venkatesh Naik, Rahul Kumar

“…To mitigate these issues, a novel 13th Harmonic Injected Trapezoidal PWM (THITRPWM) technique is introduced, combining a trapezoidal waveform with a 13th harmonic signal to reduce lower-order harmonics (3rd and 5th), THD, and torque ripple, thereby enhancing drive efficiency. Simulation results in MATLAB/Simulink demonstrate that this level-shifted PWM approach produces a smoother motor response and higher-quality output waveform than traditional methods. …”
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Development experience of information system for ranking of academic and pedagogical staff by A. A. Chernousov, E. V. Vavilova

“…The aim of this work is research of algorithms for quantitative assessment of intellectual potential (rating) of academic and pedagogical staff in higher educational institutions, as well as the development of technology for the application of these algorithms in practice.Materials and methods. According to the authors, the most appropriate method of assessing the diverse activities of the Faculty members is a technique based on the method of qualimetry – ranking objects in ascending or descending order based on the calculation of a certain set of features. …”
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Improved Direct Power Control of T-Type Rectifiers With Parameter Robustness Feedforward Compensation for DC-Bus Voltage Ripple Suppression Under Unbalanced Grid Conditions by Yi-Hung Liao, Jia-Sheng Liu, Pu-Yi Huang, Ping-Ju Chen

“…In a three-phase three-level ac/dc converter, the T-type rectifier features high efficiency and lower power switch stress, and it allows the dc-side voltage to serve as two independent output voltage sources. …”
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RESEARCHES ON DESIGNING OF MEMS STRAPDOWN INERTIAL NAVIGATION VIBRATION DAMPING SYSTEM by DUAN ZhenYu, CHU HaiRong, JIA HongGuang, WANG YuTing

“…To efficiently design damping system of MEMS Strapdown Inertial Navigation System（SINS） which performs well on vibration attenuation,a method to design vibration damping system of MEMS SINS according to transfer function and performance demand were present.First the design of supporter and the assign of vibration damping devices were finished.Then through sine scanning vibration experiment,the amplitude-frequency characteristic curves of the each inertial device in MEMS SINS were obtained,and the vibration damping goal for each inertial device in MEMS SINS were got through the study these curves.At last the amplitude-frequency characteristic curves of the accelerator that sensitive the vibration direction were simulated under logarithmic coordinates,and the design were finished according to outputs requirement.Simulation through MATLAB indicate,after vibration attenuate,designed system perform well in meeting the requirements for outputs of MEMS SINS,meanwhile it decreased the output deviations of three MEMS gyroscope.Simulation indicate,for the vibration damping problem of MEMS SINS,well performed vibration attenuation system can be quickly designed under the output requirement for MEMS SINS through this way.…”
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Economic operation analysis of the power grid combining communication network and distributed optimization algorithm by Yi Zhifei

“…The designed method is feasible for economic dispatch, and its contribution lies in using the distributed discrete-time optimization algorithm to provide scientific and reasonable communication strategy solutions for smart grid operation, thereby improving information transmission efficiency and reducing the loss of communication resources. …”
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A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems by Haewon Byeon, Wajdi Alghamdi, Munni Evin, M. Sucharitha, D. David Neels Ponkumar, A. Prakash, J. Sunil

“…Install the superior flexible AC transmission system (FACTS) in accordance with the transmission line (TL) in a series configuration to provide independent voltage control that combines power flow regulation. The suggested POA method ensures efficiency over the conventional IEEE 57 bus systems. …”
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High Power SESAM Mode-Locked Laser Based on Yb³⁺:YAlO₃ Bulk Crystal by A. Rudenkov, V. Kisel, A. Yasukevich, K. Hovhannesyan, A. Petrosyan, N. Kuleshov

“…The aim of this work was to study the Yb3+:YAlO3  crystal as an active medium for high  power mode-locked laser.In our work spectroscopic properties of Yb:YAP crystal and laser characteristics in CW and ML regimes are investigated. Maximum output power of 4 W with optical-to-optical efficiency of 16.3 % and 140 fs pulse duration have been obtained for Yb:YAP E //c-polarization with 10 % output coupler transmittance. …”
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Suppress or Not to Suppress … CRAFT It: A Targeted Metabolomics Case Study Extracting Essential Biomarker Signals Directly from the Full ¹H NMR Spectra of Horse Serum Sa... by James Chen, Ayelet Yablon, Christina Metaxas, Matheus Guedin, Joseph Hu, Kenith Conover, Merrill Simpson, Sarah L. Ralston, Krish Krishnamurthy, István Pelczer

“…Relatively complicated, yet very efficient experimental methods have been introduced recently (DIRE, JEDI) to suppress the rest of the spectrum, thus allowing measurement of these integrals of interest. …”
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Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals by Yazeed Alkhrijah, Yazeed Alkhrijah, Shehzad Khalid, Shehzad Khalid, Syed Muhammad Usman, Amina Jameel, Muhammad Zubair, Haya Aldossary, Aamir Anwar, Saad Arif

“…It is then fed into three classifiers, including support vector machines, random forest, and long short-term memory (LSTM) units. The output of these classifiers is then fed into the model-agnostic meta learner ensemble classifier with LSTM as the base classifier for the final prediction of interictal and preictal states.ResultsThe proposed methodology is trained and tested on the publicly available CHB-MIT dataset while achieving 99.34% sensitivity, 98.67% specificity, and a false positive alarm rate of 0.039.DiscussionThe proposed method not only outperforms the existing methods in terms of sensitivity and specificity but is also computationally efficient, making it suitable for real-time epileptic seizure prediction systems.…”
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Structural Damage Detection under Short Time Load Using Cascade-Forward Network by Seyed Sina Kourehli

“…To show the efficiency of presented method, three examples consist of a frame, bending plate and beam structures has been investigated. …”
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Deep reinforcement learning-based resource joint optimization for millimeter-wave massive MIMO systems by LIU Qingli, LI Xiaoyu, LI Rui

“…Aiming at the problem of low throughput and energy efficiency caused by limited wireless resources, huge power consumption, and mutual constraints between energy efficiency and system capacity in millimeter-wave large-scale multiple-input multiple-output systems, a resource co-optimization method based on deep reinforcement learning was proposed. …”
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Analysis of Commutation Principle and Switching Loss for ANPC Three-level Topology by XIE Fei, ZHANG Honghao, ZHOU Xiaoyun

“…Aiming at the problem that the unbalanced loss of internal and external transistors in NPC three-level topology affects the output power of power module.This paper introduces two different control methods based on ANPC type three-level topology. …”
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Retina Modeling by Artificial Neural Networks by Amelia Stewart

“…However, the effectiveness of the network is contingent upon its architectural configuration, the number of hidden layers used, and the specific learning method utilized. The experimental findings demonstrate that including the output from earlier iterations as input to the neural network results in the system exhibiting memory. …”
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