An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…The machine learning approach that is used in this study is the Least Square Support Vector Machine LS-SVM to categorize the diabetes patients. …”
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Application of Hyperspectral Imaging and Deep Convolutional Neural Network for Freezing Damage Identification on Embryo and Endosperm Side of Single Corn Seed by Jun Zhang, Limin Dai

“…After the spectral data were pre-processed by non-pretreatment or standard normal variation (SNV) pretreatment, a support vector machine (SVM) and a DCNN model were established for freezing-damage identification. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…Topographic processes, such as sediment erosion, accumulation, and transport are crucial for understanding the evolution of natural landscapes. …”
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[225Ac]Ac-PSMA-617 production method: development of an efficient and reproducible radiolabelling process for establish a clinical routine production by Michela Aurilio, Aureliana Esposito, Monica Buonanno, Anna Morisco, Costantina Maisto, Stefania Scala, Secondo Lastoria

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Transcriptomics assisted by metabolomics analysis provides insights into regulation mechanisms during carcinogenic process in a hydrodynamically transfected liver cancer model by Qi Zhang, Yongfeng Li, Xiaojing Cheng, Zhouxiang Liao, Sha Wen, Xuejing Huang, Zhenyu Song, Min He, Lichao Yang

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Artificial Intelligence Driven Human Identification by Purushottam Sharma, Aazar Imran Khan, Samyak Jain, Abhishek Srivastava

“…This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. …”
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Impact of PEGylation and hyaluronan functionalization on lipoplex-mediated mRNA delivery to the canine retina by Tatyana Appelbaum, David A. Smith, Kei Takahashi, Jennifer C. Kwok, Hannah Sorenson, William A. Beltran

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Research on FAHP based Trojan attack effect evaluation by Chen-xi ZENG, Quan-yuan WU, Ai-ping LI, Rong JIANG

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Good governance as the basis for the successful implementation of Ukraine’s state policy on European integration by O.V. Orel

“…To foster the development of Ukraine’s public administration in the context of European integration processes, this article substantiates and proposes the creation of a state policy document entitled «White Paper: Public Administration in Ukraine», structured as follows: Achievements (a brief overview of public administration reform outcomes in Ukraine); Benchmarks (description of good governance principles as key reform guidelines); Current State (description of the state of public administration in Ukraine at the time of research); Problems (overview of key issues, including an assessment of the compliance of public administration in Ukraine with good governance principles); Rationale for Reform (arguments in favour of further public administration reforms in Ukraine); Goals and Methodology (identification of the main purpose, goals, tasks, and applied research methods); Research Analysis (overview of the findings from major contemporary scientific and practical studies in the field of public administration in Ukraine and worldwide); Directions and Means of Reform Implementation (description of vectors for the future development of public administration in Ukraine and proposals for implementing core and alternative decisions); Results (description of intended outcomes, risks, and threats related to their achievement); Conclusions (logical summary of the material presented); Bibliography; Appendices. …”
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Building a Spatial Database by Developing a Work Environment to Accomplish the Automatic Transfer Process for Remote Sensing Data from Raster to Linear by Diaa Al-Berhawi

“…In this paper a develop an working environment for building spatial database by utilizing ArcView Geographic Information System software package and IDRISI software package for remotely sensed images processing is obtained. Through working environment remotely sensed images representation transformed from raster form to vector form. …”
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Implementation of new technique for Face recognition based on quantum computing by Amjed Yousif Sahib

“…The quantum phenomena such as superposition, entanglement and vector space are formulated to represent quantum information and quantum processes on the classical computer. …”
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Using the ASTER GDEM v.2 global digital elevation model to identify areas of possible activation of karst processes in the Arkhangelsk region (Russia) by E.V. Polyakova, Y.G. Kutinov, A.L. Mineev, Z.B. Chistova, T.Ya. Belenovich

“…The possibility of applying the method of detecting drainless depressions, which is used in hydrological correction of the digital elevation model, to identify areas of probable activation of the karst processes in the territory of the Arkhangelsk region was considered. …”
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ANALYSIS OF THE THERMAL FRICTION DRILLING PROCESS FOR EFFECTIVE PARAMETRIC CHOICE ON THE DRILLING OF AISI 304 STAINLESS STEEL USING THE FUZZY AHP-MOORA METHOD by Ugochukwu Sixtus Nwankiti, Adeyinka Oluwo, Manasseh Olusegun Oyekeye, John Rajan, Swaminathan Jose, Rajeshwar Kadadevarmath, Sunday Ayoola Oke, Samuel Bolaji Aderibigbe, Samson Oluwaseun Odudare

“…This paper chooses the effective and the best parameters of the drilling process during the processing of AISI 304 stainless steel using the fuzzy-AHP-MOORA method. …”
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Properties of single layer potentials for a pseudo- differential equation related to a linear transformation of a rotationally invariant stable stochastic process by Kh. V. Mamalyha, M. M. Osypchuk

“…That is, we use the fundamental solution of the equation, which is the transition probability density of the related process. In our theory, the role of the gradient operator is performed by some vector pseudo-differential operator of the order $\alpha-1$. …”
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Association of microtubule-based processes gene expression with immune microenvironment and its predictive value for drug response in oestrogen receptor-positive breast cancer by Zhenfeng Huang, Minghui Zhang, Nana Zhang, Mengyao Zeng, Yao Qian, Meng Zhu, Xiangyan Meng, Ming Shan, Guoqiang Zhang, Feng Liu

“…Prognostic risk models were developed via random forest, support vector machines and the least absolute shrinkage and selection operator algorithm. …”
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Related and independent variable fault detection method based on KPCA-SVM by GUO Jinyu, YU Huan, LI Yuan

“…In the real industrial process, some process variables are independent of other variables, a fault detection method of related and independent variable based on kernel principal component analysis and support vector machine (KPCA-SVM) is proposed to detect these independent variables separately from related variables. …”
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PERBAIKAN KONTRAS CITRA MAMMOGRAM PADA KLASIFIKASI KANKER PAYUDARA BERDASARKAN FITUR GRAY-LEVEL CO-OCCURRENCE MATRIX by Febri Liantoni, Agus Santoso

“…This method will expedite the process of recognition and classification of breast cancer. …”
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Assembly of ascovirus HvAV-3h long DNA fragment using the Transformation-Associated Recombination (TAR) approach in yeast cells by Heba A. H. Zaghloul, Zhengkun Xiao, Hengrui Hu, Guo-Hua Huang

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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

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Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network by Chengguang Zhang, Zhen Guo, Chuan Li

“…Next, these reconstruction errors are utilized to train one-class support vector machine (OCSVM). During the testing phase, reconstruction errors are similarly calculated for the test data, and after being normalized using the same process as the training data, the errors are input into the trained OCSVM model for anomaly detection. …”
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