Advancing Over-the-Air Federated Learning through Deep Reinforcement Learning in UAV-Assisted Networks with Movable Antennas by Mohsen Ahmadzadeh, Saeid Pakravan, Ghosheh Hodtani

“…Then An MSE minimization problem is then formulated, involving the joint optimization of moveable antenna position vectors, and the beamforming vector at the UAV. This complex non-convex problem is reformulated as a Markov Decision Process (MDP) and solved using the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm within the deep reinforcement learning (DRL) framework. …”
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Calculation and Dressing Simulation of the Profile of the Form Grinding Wheel for Modified ZI Worms by Jianxin Su, Jiewei Xu

“…Subsequently, the normal vector of the tooth surface is derived. After that, space meshing theory and matrix transformation methods are applied. …”
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A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification by Guizhou Wang, Jianbo Liu, Guojin He

“…First, the multispectral image is classified by a traditional pixel-based classification method (support vector machine). Second, the panchromatic image is subdivided by watershed segmentation. …”
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The mechanism of gene targeting in human somatic cells. by Yinan Kan, Brian Ruis, Sherry Lin, Eric A Hendrickson

“…Moreover, and in contrast to other systems, the positions of Holliday Junction resolution are evenly distributed along the homology arms of the targeting vector. Most unexpectedly, we demonstrate that when a meganuclease is used to introduce a chromosomal DSB to augment gene targeting, the mechanism of gene targeting is inverted to an ends-in process. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Additionally, a new method based on the denoising autoencoder (DAE) and support vector machine (SVM) is proposed. Firstly, the ESP production data were processed and fault-related features were screened using the random forest (RF) algorithm. …”
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A multi-player game equilibrium problem based on stochastic variational inequalities by Cunlin Li, Wenyu Zhang, Baojun Yang, Hooi Min Yee

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Using Tractography to Distinguish SWEDD from Parkinson’s Disease Patients Based on Connectivity by Mansu Kim, Hyunjin Park

“…Diffusion magnetic resonance images of SWEDD (n=37) and PD (n=40) were obtained from a research database. Tractography, the process of obtaining neural fiber information, was performed using custom software. …”
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Hybrid feature learning framework for the classification of encrypted network traffic by S. Ramraj, G. Usha

“…The focus of this research is to evaluate the performance of the Support Vector Machine (SVM) in classifying network packets by application type, as well as classifying the type of data communicated within an application. …”
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Multidimensional State Data Reduction and Evaluation of College Students’ Mental Health Based on SVM by Han Peiqing

“…In response to the shortcomings of the traditional methods for evaluating the mental health status of college students in terms of computational complexity and low accuracy, a method for evaluating the mental health status of college students based on data reduction and support vector machines was proposed. A model experiment containing internal and external personality tendency classification, anxiety, and depression dichotomy was designed using logistic regression analysis, information entropy, and SVM algorithm to construct the feature dimensions of the network behavior data, combined with the labeled data of mental state to derive the sample data set for model experiments. …”
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Pavement condition detection using acceleration data collected by smartphones based on 1D convolutional neural network by Yudong Han, Zhaobo Li, Jiaqi Li

“…Five types of 1D-CNN with different activation functions and network structures were designed to classify the data and were compared with machine learning algorithms, including support vector machine (SVM) and radial basis function (RBF) neural networks. …”
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Active and Reactive Power Control for Wind Turbines Based DFIG Using LQR Controller with Optimal Gain-Scheduling by Ashraf Radaideh, Mu’men Bodoor, Ayman Al-Quraan

“…Active and reactive power decoupling is performed using the field-oriented vector control which is used to simplify DFIG’s nonlinearity and derive a compact linearized state-space model. …”
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Long Term Solar Radiation Forecast Using Computational Intelligence Methods by João Paulo Coelho, José Boaventura-Cunha

“…The point prediction quality is closely related to the model that explains the dynamic of the observed process. Sometimes the model can be obtained by simple algebraic equations but, in the majority of the physical systems, the relevant reality is too hard to model with simple ordinary differential or difference equations. …”
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Molecular dynamics simulation on glass transition temperature of isomeric polyimide

“…Furthermore, from mean square displacement and vector autocorrelation functions calculations, this group is observed to rotate against other groups in the glassy state, and increases the chain rigidity to a great extent. …”
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GIS Tools for Urban Archaeology in Vienna. Site Mapping with Different Geometries by Kristina Adler-Wölfl, Roman Skomorowski

“…Geoinformation systems (GIS) can help process large and complex amounts of data and create accurate forecasts for construction projects. …”
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Unholy Epiphanies: Faith, Art and the Fractured Self in A Portrait of the Artist as a Young Man by Ioana Constandache

“…An essential aspect of the analysis is the sound dimension of the novel, treated as a vector of artistic signification in itself, through which language becomes a carrier of affect, rhythm and sensory experience. …”
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Influence phase of a dS observer. Part II. Electromagnetism by R. Loganayagam, Omkar Shetye

“…Further, we review and extend many properties of vector spherical harmonics(VSHs) in arbitrary dimensions, explain the relation between spherical and cartesian VSH, and derive an addition theorem for VSHs.…”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.…”
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Fuel prices and economic activity: time and frequency analysis for selected European countries by Andrzej Geise, Mariola Piłatowska

“…The causal relationships between these macroeconomic variables are first examined using a conventional Granger causality test for the time domain and then the Breiutung–Candelon test based on the vector autoregression model for the frequency domain, which are estimated separately for the long-term, business cycle, and short-term components obtained by applying the boosted Hodrick–Prescott filter. …”
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Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species. by Mohammad Fraiwan, Rami Mukbel, Dania Kanaan

“…Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfly fever. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). Data preprocessing encompasses managing missing data, processing categorical variables, and tackling issues related to class imbalance. …”
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