Secure Data Collection Method Based on Quantum Encryption Algorithm for Power IoT Gateway by ZHANG Jingxin, CHEN Chao, ZHANG Ping

“…Based on the specific architectural level, the attribute feature vector of the gateway data is extracted. Based on the quantum encryption algorithm, the original quantum key is obtained by selecting the two-dimensional Henon chaotic mapping method through the feature vector. …”
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Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media by Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood

“…Specifically, uses the SBERT and DeBERT models, both widely-used and pre-trained language representation models, to convert the textual news information into word vector representations. Similarly, uses the ResNet model, a deep convolutional neural network known for its efficacy in image feature extraction and recognition, to derive a feature vector from the image(s) in the new article. then combines these generated vectors using a weighted fusion strategy to obtain a unified feature representation capturing nuances from both textual and visual data. …”
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Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…Recent studies have applied models such as logistic regression, support vector machines, and deep learning networks to predict specific toxicities in patients who have undergone brachytherapy.…”
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Adaptive Bacteria Colony Picking in Unstructured Environments Using Intensity Histogram and Unascertained LS-SVM Classifier by Kun Zhang, Minrui Fei, Xin Li, Huiyu Zhou

“…Experimental results show that the proposed unascertained least square support vector machine (ULSSVM) has better recognition accuracy than the other state-of-the-art techniques, and its training process takes less time than most of the traditional approaches presented in this paper.…”
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Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System by Xinyu Pang, Jie Shao, Xuanyi Xue, Wangwang Jiang

“…The method is a combination of ensemble empirical mode decomposition (EEMD), morphological image processing, Hu invariant moment feature vector, and back propagation (BP) neural network. …”
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Damage Simulation and Ultrasonic Detection of Asphalt Mixture under the Coupling Effects of Water-Temperature-Radiation by Yong-chun Cheng, Peng Zhang, Yu-bo Jiao, Ye-dan Wang, Jing-lin Tao

“…It can be concluded that the model derived from the support vector machine possesses higher accuracy and stability, which can more satisfactorily reflect the relationship between ultrasonic velocity and damage coefficient. …”
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Pemetaan Daerah Rawan Longsor di Kabupaten Bandung Barat menggunakan Metode Machine Learning dengan Teknik SVM by Afif Faadhilah, Hary Nugroho

“…This information is presented as a map obtained through the classification process of data contributing to landslides using the Support Vector Machine (SVM) method. …”
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An improved sliding mode observer algorithm for PMSM based on deformable fuzzy neural network by Xiaolin Li, Na Liu, Juan Song, Yiyan Zhang

“…This improved algorithm accurately obtains the Jacobian matrix of the PMSM through an RBF neural network parameter identifier, and based on this, it rapidly determines the structural situation of the deformable fuzzy neural network through a variable structure learning process. Simulation results obtained from MATLAB/Simulink demonstrate that this estimation algorithm enhances the speed control accuracy of the PMSM vector control system by 5.9% when compared to the proportion integral differential (PID) speed controller algorithm and by 26.9% when compared to the sliding mode speed controller algorithm. …”
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Chebyshev Distance Entropy Combined with TODIM Method in Lq-ROFS Multiattribute Group Decision Making by Yangcan Wang, Xin Tang, Yutong Pan, Mingqian Cai

“…Based on Lq-ROFS, this paper first proposes the Chebyshev distance metric, then develops the Chebyshev distance entropy for deriving objective solution of decision makers’ (DMs’) weight vector and attribute weight vector by combining the metric and entropy measure. …”
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Transformation of Nonmultiple Cluster Music Cyclic Shift Topology to Music Performance Style by Jing Li

“…The bidirectional recurrent neural network based on Gated Recurrent Unit (GRU) is used to extract different styles of note feature vector sequences, and the extracted note feature vector sequence is used to predict the intensity of a specific style, and the intensity changes of different styles of nonmultiple cluster music are better learned. …”
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Implementation and Performance Evaluation of Quantum Machine Learning Algorithms for Binary Classification by Surajudeen Shina Ajibosin, Deniz Cetinkaya

“…In binary classification, where the goal is to assign data to one of two categories, QML uses quantum algorithms to process large datasets efficiently. Quantum algorithms like Quantum Support Vector Machines (QSVM) and Quantum Neural Networks (QNN) exploit quantum parallelism and entanglement to enhance performance over classical methods. …”
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EVOLUTION OF THE ROTATIONAL MOTION OF A SATELLITE WITH FLEXIBLE VISCOELASTIC RODS ON THE ELLIPTIC ORBIT by E. V. Sadovnikova, A. V. Shatina

“…It is shown that in the process of dissipative evolution caused by energy dissipation in rods, the angle between the vector of the angular momentum of the satellite's rotational motion and the normal to the orbital plane decreases to zero. …”
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Secure transmission for IoT wireless energy-carrying communication systems. by Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Congcong Li, Hongxia Zhu

“…The message is iteratively solved using the block coordinate descent technique, and for each iteration, a digital baseband signal containing the receiver's secret message symbol and the matching beamforming vector is delivered. By concurrently optimizing the transmit beamforming vector, the noise covariance matrix, and the receiver power allocation factor based on a design that complies with the security rate and energy acquisition limitations for each receiver, the overall system transmit power is reduced. …”
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Early warning and response system for dengue outbreaks: Moving from research to operational implementation in Mexico. by Gustavo Sanchez Tejeda, David Benitez Valladares, Fabian Correa Morales, Jacqueline Toledo Cisneros, Brisia E Espinoza Tamarindo, Laith Hussain-Alkhateeb, Corinne S Merle, Axel Kroeger

“…In the absence of an effective vaccine, preventing dengue outbreak relies on vector control activities. Employing computerized tools to predict outbreaks and respond in advance has great potential for improving dengue disease control. …”
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malERA: An updated research agenda for combination interventions and modelling in malaria elimination and eradication. by malERA Refresh Consultative Panel on Combination Interventions and Modelling

“…Thus, there is potential for modelling to investigate appropriate 'packages' of combined interventions that include various forms of vector control, case management, surveillance, and population-based approaches for different settings, particularly at lower transmission levels. …”
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Experimental and Analytical Studies on Improved Feedforward ML Estimation Based on LS-SVR by Xueqian Liu, Hongyi Yu

“…Consequently, we employ the linear relationship between least squares support vector regression (LS-SVR)’s inputs and outputs and regard LS-SVR process as a time-varying linear filter to increase input SNR of received signals and decrease the threshold value of mean square error (MSE) curve. …”
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SPECIFIC FEATURES OF DEFORMATION OF THE CONTINENTAL AND OCEANIC LITHOSPHERE AS A RESULT OF THE EARTH CORE NORTHERN DRIFT by Mikhail A. Goncharov, Yuri N. Raznitsin, Yuri V. Barkin

“…Drifting and submeridional compression of the continental and oceanic lithosphere, both with the northward vector (Figure 1) are revealed at the background of various directions of horizontal displacement combined with deformations of horizontal extension, compression and shear of the lithosphere (Figures 7–14). …”
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Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Rolando Marcel Torres Castillo, Siva Avudaiappan

“…Abstract Waste marble, an industrial byproduct generated from marble cutting and polishing processes, can be effectively utilized as a partial replacement in concrete mixtures. …”
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Oxidative stress-related genes in uveal melanoma: the role of CALM1 in modulating oxidative stress and apoptosis and its prognostic significance by Yue Wu, Xiaoyan Cai, Menghan Hu, Runyan Cao, Yong Wang

“…Protein–protein interaction (PPI) networks were constructed to identify hub genes, and machine learning algorithms were utilized to screen for diagnostic genes, employing methods such as least absolute shrinkage and selection operator (LASSO) regression, random forest, support vector machine (SVM), gradient boosting machine (GBM), neural network algorithm (NNET), and eXtreme gradient boosting (XGBoost). …”
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Integrative analysis of thiamethoxam induced hepatocellular carcinoma toxicity mechanisms by Chenghao Wang, Zhichao Wang, Yinqin Hu, Shi Xiang, Hui Chen, Chao Yang

“…By applying the Support Vector Machine (SVM) machine—learning model, we screened out five feature genes (CYP2C19, CYP3A4, FBP1, THBS4, CYP7A1) and constructed a nomogram. …”
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