A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities by Debarghya Dutta, Pabitra Kumar Biswas, Sukanta Debnath, Furkan Ahmad

“…Initially, predictive-based interpolation equations are used to create system controller matrices that forecast controlling gains for various eccentric rotor behaviors. Steady functioning is ensured by the non-linear AMB system’s assumed linearity inside this range. …”
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Research on product design priority allocation based on user characteristics classification by Yiyan Wang, Jiaxing He, Wenyuan Yang, Kie-su Kim

“…The Pearson correlation coefficient is integrated into the finite rationality hypothesis model to classify user characteristics, and the factors influencing the phenomenon of divergence between user needs and behaviors are screened according to the Pearson correlation coefficient and used as the basis for the classification of characteristic users. …”
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A theoretical insight into graphene-based materials: A DFT study by Gunja Prasad, Suveksha Tamang, Sangeeta Jha, Nayan Kamal Bhattacharyya, Joydeep Biswas

“…In this computational work, we have investigated structural, electronic, and optoelectronic properties of 22 ring carbon system of Graphene Oxide (GO), reduced Graphene Oxide (rGO), and ZnO-doped rGO that are crucial for applications in energy storage, sensing, catalysis, etc. …”
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Doença de Binswanger: estudo anátomo-clínico de um caso Binswanger's disease: case report by Paulo Roberto de Brito-Marques, Roberto Vieira de Mello

“…They discuss behavioral and clinical data, and radiological and histopathologic aspects, comparing them with data found in the literature.…”
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A structural topic modeling of communication research: insights from over a century of journals' abstracts by Mohamed M. Mostafa, Mohammad Alhur, Ahmed M. Moustafa

“…The study demonstrates how computational text analysis can inform meta-theoretical understanding and strategic planning within academic disciplines.…”
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Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. …”
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Comparative Analysis of Force-Sensitive Resistors and Triaxial Accelerometers for Sitting Posture Classification by Zhuofu Liu, Zihao Shu, Vincenzo Cascioli, Peter W. McCarthy

“…Sedentary behaviors, including poor postures, are significantly detrimental to health, particularly for individuals losing motion ability. …”
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A Novel Chaotic Neural Network Using Memristive Synapse with Applications in Associative Memory by Xiaofang Hu, Shukai Duan, Lidan Wang

“…Chaotic Neural Network, also denoted by the acronym CNN, has rich dynamical behaviors that can be harnessed in promising engineering applications. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…Specifically, this research advances our understanding of wave behaviors in harsh maritime environments through an innovative coupling of the parabolic mild slope (PMS) wave model with the phase-resolving Boussinesq wave (BW) model. …”
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Regional specialization of movement encoding across the primate sensorimotor cortex by Simon Borgognon, Nicolò Macellari, Alexandra M. Hickey, Matthew G. Perich, Houman Javaheri, Rafael Ornelas-Kobayashi, Maude Delacombaz, Christopher Hitz, Florian Fallegger, Stéphanie P. Lacour, Erwan Bezard, Eric M. Rouiller, Jocelyne Bloch, Tomislav Milekovic, Ismael Seáñez, Grégoire Courtine

“…Here, we leveraged the rich repertoire of well-controlled primate locomotor behaviors to study how task-specific movements are encoded across the dorsal premotor cortex (PMd), primary motor cortex (M1), and primary somatosensory cortex (S1) under naturalistic conditions. …”
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A Method to estimate the economy-wide consequences of widespread, long duration electric power interruptions by Ian Sue Wing, Peter H. Larsen, Juan Pablo Carvallo, Alan Sanstad, Dan Wei, Adam Rose, Sunhee Baik, Jeremy Smith, Christopher Ramee, Ridge Peterson

“…We surveyed their customers about hypothetical blackouts, identifying and classifying mitigating/resilience behaviors and quantifying their costs and benefits. …”
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Atomic Manipulation of 2D Materials by Scanning Tunneling Microscopy: Advances in Graphene and Transition Metal Dichalcogenides by Tingting Wang, Lingtao Zhan, Teng Zhang, Yan Li, Haolong Fan, Xiongbai Cao, Zhenru Zhou, Qinze Yu, Cesare Grazioli, Huixia Yang, Quanzhen Zhang, Yeliang Wang

“…These manipulation techniques are critical for constructing custom heterostructures, tuning electronic properties, and exploring dynamic behaviors such as superlubricity, strain engineering, phase transitions, and quantum confinement effects. …”
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Improving CSCL Performance: A Quasiexperimental Study with Control and Intervention Groups Comparing Informative and Suggestive Feedback by Lanqin Zheng, Kaushal Kumar Bhagat, Miaolang Long, Nitesh Kumar Jha

“…Computer-supported collaborative learning (CSCL) has been broadly utilized in the field of education. …”
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Bifurcations in a Plant-Pollinator Model with Multiple Delays by Long Li, Yanxia Zhang, Jianfei Yao, Xiuxing Wu

“…In fact, its complex dynamical behaviors are universally and simply expressed as a class of delay differential-difference equations. …”
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A Malware Detection Method Based on Genetic Algorithm Optimized CNN-SENet Network by Zheng Yang, Hua Zhu, Zhao Li, Gang Wang, Meng Su

“…To this end, this paper proposes a malware detection method based on genetic algorithm optimization of the CNN-SENet network, which firstly introduces the SENet attention mechanism into the convolutional neural network to enhance the spatial feature extraction capability of the model; then, the application programming interface (API) sequences corresponding to different software behaviors are processed by segmentation and de-duplication, which in turn leads to the sequence feature extraction through the CNN-SENet model; finally, genetic algorithm is used to optimize the hyperparameters of CNN-SENet network to reduce the computational overhead of CNN and to achieve the recognition and classification of different malware at the output layer. …”
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ML-based Plant Stress Detection from IoT-sensed Reduced Electromes by Marcos De Oliveira Jr, Gregory Sedrez, Gerson Geraldo H. Cavalheiro

“…The use of Internet of Things (IoT) devices and Machine Learning (ML) techniques has automated and enhanced data collection and classification, helping researchers identify behaviors and classify them to detect plant stress. …”
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A Survey of Machine Learning Techniques for Optimal Capacitor Placement and Sizing in Smart Distribution Networks by Kwabena Addo, Katleho Moloi, Musasa Kabeya, Evans Eshiemogie Ojo

“…Traditional optimization techniques, while effective, often struggle with dynamic system behaviors, nonlinear loads, and real-time operational constraints. …”
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Modeling the Increase in Effective Mobility in Short-Channel Oxide Thin-Film Transistors by Oliver Durnan, Reem Alshanbari, Hong-Rae Cho, Ioannis Kymissis, Chang-Hyun Kim

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Determinants of Child Growth in Palestine (Ages 5–17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors by Suleiman Thwib, Radwan Qasrawi, Ghada Issa, Malak Amro, Razan Abu Ghoush, Sabri Saghir, Doa’a Mujahed, Maysaa Nemer, Mousa Halaika, Manal Badrasawi, Ayoub Al-Jawaldeh, Ibrahim Elmadfa, Lara Nasreddine, Diala Abu Al-Halawa, Maisan Nimer

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Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors by Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Deepa Tilwani, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Christian O'Reilly, Nicholas Riccardi, Valerie L. Shalin, Valerie L. Shalin, Dirk-Bart den Ouden, Julius Fridriksson, Svetlana V. Shinkareva, Svetlana V. Shinkareva, Amit P. Sheth, Amit P. Sheth, Amit P. Sheth, Rutvik H. Desai, Rutvik H. Desai

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