Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). …”
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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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INSTITUTIONAL MODELLING OF THE MANAGEMENT SYSTEM FOR REGIONAL PARTICIPANTS OF DUAL EDUCATION by A. Yu. Kokovikhin, A. G. Mokronosov, E. S. Ogorodnikova

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Research on Wind Power Grid Integration Power Fluctuation Smoothing Control Strategy Based on Energy Storage Battery Health Prediction by Bin Cheng, Jiahui Wu, Guancheng Lv, Zhongbo Li

“…This study first adopts a Genetic Algorithm-Optimized Support Vector Regression (GA-SVR) model to predict the SOH of the energy storage system. …”
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Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A C... by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

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Computer-aided diagnosis of hepatic cystic echinococcosis based on deep transfer learning features from ultrasound images by Miao Wu, Chuanbo Yan, Gan Sen

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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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Rhamnose-Positive Strains of Plague Agent: Virulence and Epidemiological Significance by A. A. Sludsky, Z. L. Devdariani

“…The second way of transmission of the pathogen to humans – vector-borne – is difficult due to the lack of migration of vole fleas from burrows to the surface and their low efficiency as vectors. …”
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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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Enhancing mosquito classification through self-supervised learning by Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

“…Overall, this model supports personnel in resource-constrained environments by facilitating mosquito vector density analysis and paving the way for future mosquito species identification methodologies.…”
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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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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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Modification of a groundwater prospect zone index using remotely sensed data and the analytic network process in the eastern part of Lesvos island, Greece. by Terpsichori K. MITSI, Demetre P. ARGIALAS, Konstantinos VAMVOUKAKIS

“…To evaluate the criteria used for the result, the Analytic Network Process (ANP) was applied to weight each parameter. …”
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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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Pilot-scale process development for recombinant adeno-associated virus (rAAV) production based on high-density Sf9 cell culture by Xinran Li, Jieyi Gu, Haoquan Wu, Yuanyuan Xie

“…On the basis of the equal P/V principle and considering the problem posed by air bubbles, a pilot-scale level bioreactor process was established. Results Here, we describe a method in which a BEVS was used to produce rAAV vectors, with the cell density increasing to 22.8 × 106 cells/mL and the rAAV titre increasing to 20 × 1011 VG/mL upon adding feed material. …”
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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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Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool by Shimon Frish, Irit Talmor, Omer Hadar, Maxim Shoshany, Aviad Shapira

“…The analytic hierarchy process is an effective method for simplifying complex decision-making processes involving multiple criteria. …”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

“…The greedy selection of test and target vectors further accelerates population convergence. …”
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