Combination model
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This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.
6p vithomson 02-07-2024 0 0 Download
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In this paper, a nonlinear path tracking controller based on a combination of kinematics and torque backstepping methods is applied to a nonholonomic Two-Wheeled Mobile Robot (WMR). The mobile robot is considered in terms of dynamics model in Cartesian coordinates and its parameters are exactly known.
6p vithomson 02-07-2024 0 0 Download
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Part 1 book "Infrared heating for food and agricultural processing" included contents: Fundamentals and theory of infrared radiation; infrared radiative properties of food materials; heat and mass transfer modeling of infrared radiation for heating; emitters and infrared heating system design; infrared drying; combined infrared and hot air drying.
133p dianmotminh04 12-07-2024 1 0 Download
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In this study, it is split into two main steps. First, an analytical design is proposed to define the desired parameters with affects of different flux air gaps. Then, a finite element approach is introduced to simulate magnetic field quantities (such as inductance, fringing flux, magnetic flux density, electromagnetic force, current, voltage) of the SRs.
6p vialicene 02-07-2024 1 0 Download
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Part 1 of ebook "Artificial intelligence for games (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Game AI; Chapter 3 - Movement; Chapter 4 - Path finding; Chapter 5 - Decision making;...
517p daonhiennhien 03-07-2024 1 1 Download
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In present work, we present a framework of the topology optimization combined with the phase-field modelling with/ without interfacial damage for optimizing the damage resistance of the inclusion-matrix composites.
17p viwalton 02-07-2024 1 1 Download
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This paper investigates the system performance of hybrid time-power switching based relaying (TPSR) energy harvesting enabled in the multisource half-duplex relaying network over the Rayleigh fading channel. The outage probability (OP) of the proposed system model with implementing maximal ratio combining (MRC) and selection combination (SC) technique at the receiver is presented and analyzed.
8p viwalton 02-07-2024 1 1 Download
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In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.
8p viwalton 02-07-2024 3 1 Download
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Numerous studies have indicated that cancer-associated fibroblasts (CAFs) play a crucial role in the progression of colorectal cancer (CRC). However, there are still many unknowns regarding the exact role of CAF subtypes in CRC.
20p vishanshan 27-06-2024 1 1 Download
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To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a combined nomogram model.
12p vishanshan 27-06-2024 2 1 Download
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To establish and validate a predictive model combining pretreatment multiparametric MRI-based radiomic signatures and clinical characteristics for the risk evaluation of early rapid metastasis in nasopharyngeal carcinoma (NPC) patients.
12p vishanshan 27-06-2024 2 1 Download
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To explore the value of six machine learning models based on PET/CT radiomics combined with EGFR in predicting brain metastases of lung adenocarcinoma. Retrospectively collected 204 patients with lung adenocarcinoma who underwent PET/CT examination and EGFR gene detection before treatment from Cancer Hospital Affiliated to Shandong First Medical University in 2020.
13p vishanshan 27-06-2024 2 1 Download
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To investigate the value of differential diagnosis of hepatocellular carcinoma (HCC) and non-hepatocellular carcinoma (non-HCC) based on CT and MR multiphase radiomics combined with different machine learning models and compare the diagnostic efficacy between different radiomics models.
12p vishanshan 27-06-2024 4 1 Download
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The prognostic significance of tumor burden score (TBS) in relation to carcinoembryonic antigen (CEA) has not been investigated among patients undergoing hepatectomy for intrahepatic cholangiocarcinoma (ICC). This study aimed to develop and validate a simplified model, a combination of TBS and CEA (CTC grade), for predicting the long-term outcomes of postoperative ICC patients.
14p vishanshan 27-06-2024 2 1 Download
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Chemoradiotherapy is a critical treatment for patients with locally advanced and unresectable nonsmall cell lung cancer (NSCLC), and it is essential to identify high-risk patients as early as possible owing to the high incidence of radiation pneumonitis (RP). This study aimed to investigate the value of computed tomography (CT)-based radiomics combined with genomics in analyzing the risk of grade≥2 RP in unresectable stage III NSCLC.
10p vishanshan 27-06-2024 1 1 Download
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In the era of targeted therapies, the influence of aging on cancer management varies from one patient to another. Assessing individual frailty using geriatric tools has its limitations, and is not appropriate for all patients especially the youngest one.
8p vikoch 27-06-2024 1 1 Download
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Chemotherapy is included in treatment regimens for many solid cancers, but when administered as a single agent it is rarely curative. The addition of immune checkpoint therapy to standard chemotherapy regimens has improved response rates and increased survival in some cancers.
11p vikoch 27-06-2024 1 1 Download
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The prognosis of SCLC is poor and difficult to predict. The aim of this study was to explore whether a model based on radiomics and clinical features could predict the prognosis of patients with limited-stage small cell lung cancer (LS-SCLC).
12p vikoch 27-06-2024 1 1 Download
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We aimed to identify preoperative predictors of aggressive pathology for cT1 solid renal cell carcinoma (RCC) by combining clinical features with qualitative and quantitative CT parameters, and developed a nomogram model.
13p vikoch 27-06-2024 2 1 Download
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Studies have revealed that acute myeloid leukemia (AML) patients are prone to combined cardiac injury. We aimed to identify hematological risk factors associated with cardiac injury in newly diagnosed AML patients before chemotherapy and develop a personalized predictive model.
16p vikoch 27-06-2024 1 1 Download