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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Mehta, Shiva Bhalla, Anubhav Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh 174103 India

ISBN: (纸本)9798331542375

Kidney cancer is listed among the leading causes of cancer deaths and that is why accurate staging of the disease and early diagnosis is so crucial. This research introduces a hybrid framework combining Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) for the classification of kidney tumors into four categories: Some of these are Clear Cell Renal Cell Carcinoma (ccRCC), Papillary Renal Cell Carcinoma (pRCC), Chromophobe Renal Cell Carcinoma (chRCC), Benign Kidney Tumors. The CNN carried out feature extraction in an automatic manner, while the strength of the SVM was in classification using its impressive decision boundaries. Using the proposed model, the experiments were carried out on the 4000 labelled images of kidney tumor with the average accuracy of 93.75% which clearly outperforms standalone CNN with the accuracy of 91% as well as classic SVM with hand-crafted features equal to 85%. The proposed model provided precision equal to 94% in case of ccRCC, 91% for pRCC, 90% for chRCC, a well as 96% in case of Benign Tumor;while the recall of the model precisely unfolded as 92%, 89%, 88% and 94% respectively. The F1-scores ranged between 89 per cent and 95 per cent and suggested good consistency across all the parameters. Based on the confusion matrix results, there was little crossover between the two types of renal cancers, as well as between ccRCC and pRCC especially with 20 false positives and 18 false negatives. The ROC curve analysis also showed that the AUC for four classes being 0.94, 0.91, 0.90 and 0.96 respectively. The results further prove the performance of the CNN-SVM system of handling multi-Class imbalance and achieving high diagnostic performance. This paper demonstrates its applicability as a clinical decision support tool, aspiring to enhance the diagnostic results and effectiveness. © 2025 IEEE.

关键词： Convolutional neural networks

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WhaleOptNB: A Method for Automated Biomedical Text Document Classification 7th

WhaleOptNB: A Method for Automated Biomedical Text Document ...

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Kumar, S. Vishnu Chohan, Jasgurpreet Singh Kalita, Kanak Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi600062 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid Jordan

ISBN: (纸本)9783031733239

In recent years, there has been a meteoric rise in the amount of digital information stored in the biomedical industry due to the rapid growth of the internet and other information technologies. Automated biomedical text classification has become an effective and robust method of accessing the increased amount of technical and medical literature in the biomedical sector through the classification of multiple source documents while preserving the significantly informative data to manage the enormous amount of biomedical data currently available. This is accomplished by automating the classification of multiple source documents in the biomedical field. Therefore, multi-document biomedical text classification plays an essential role in resolving the problem of gaining access to accurate and up-to-date information. A Whale Optimization Algorithm-based Weighted Naive Bayes Classifier (WhaleOptNB) for text document classification is proposed. A biomedical text document dataset is collected and preprocessed. Then, the preprocessed data's features are extracted using the Term Frequency-Inverse Document Frequency (TF-IDF). To classify the biomedical text document, WhaleOptNB is utilized. To prove the efficiency of the proposed methodology, it is compared with existing methods. Simulation results show that the proposed method outperforms conventional methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Inverse problems

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Revolutionizing Diabetic Foot Ulcer Detection with Hybrid CNN-SVM Models: An Accurate and Scalable Approach 3

Revolutionizing Diabetic Foot Ulcer Detection with Hybrid CN...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Mehta, Shiva Rathour, Abhinav Chitkara University Institute of Engineering and Technology Chitkara University Centre for Research Impact & Outcome Punjab Rajpura140401 India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India

ISBN: (纸本)9798331542375

A major complication of diabetes, Diabetic foot ulcers (DFUs) are recognized by significant health outcomes when detected early. In this work, we propose the novel hybrid CNN-SVM model for accurate and scalable DFU detection that combines feature extraction strengths of deep learning and reliable classification power of machine learning. We evaluate the proposed model on the publicly available DFUC2021 dataset of 5000 annotated DFU images and that are split into 60%, 20% and 20% training, validation and testing set respectively. Or, this hybrid approach demonstrated a stunning accuracy of 94.5% which surpassed both the standalone CNN model with 91.2% specificity, and the traditional SVM classifier with handcrafted features at 82.5%. In addition, it exhibits higher precision (93.2%), recall (93.8%), F1 score (93.5%) and on an AUC - ROC of 0.98, attesting to its ability to discriminate between DFU and non - DFU cases better. To implemented the CNN component, based on the ResNet-50 architecture, for extracting deep hierarchical features and the SVM classifier with RBF kernel for generating robust decision boundaries thereby reducing over fitting and improving generalization. Experimental results, along with confusion matrix analysis and ROC curve evaluation, show that the model has potential to be applied in clinic, achieving significant reduction of false positives and false negatives. Proposed hybrid approach to detect DFU proposes a scalable and efficient solution for DFU detection that can be deployed for real world healthcare and telemedicine applications. Further work will investigate merging explainable Al techniques to add interpretability to the model and extending the model for multi class DFU classification. © 2025 IEEE.

关键词： Deep Learning Techniques Hybrid CNN Image Processing Medical Imaging SVM Ulcer Classification

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Enhancing Na^(+) diffusion dynamics and structural stability of O3-NaMn_(0.5)Ni_(0.5)O_(2)cathode by Sc and Zn dual-substitution

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Transactions of Nonferrous Metals Society of China 2024年第10期34卷 3344-3357页

作者： Bin-bin WANG Yi-ming FENG Xin LUO Qun HUANG Zi-xing HOU Ya-qin WU Peng-yu WANG Yu-yang QI Qing-fei MENG Wei-feng WEI Liang-jun ZHOU State Key Laboratory of Powder Metallurgy Central South UniversityChangsha 410083China Vital Material Co. Ltd.Guangzhou 510623China The 48th Research Institute of China Electronics Technology Group Corporation Changsha 410111China Wuhan Zhongyuan Changjiang Technology Development Co. Ltd.Wuhan 430090China

Sc and Zn were introduced into O3-NaMn_(0.5)Ni_(0.5)O_(2)(NaMN)using the combination of solution combustion and solid-state *** effect of Sc and Zn dual-substitution on Na^(+) diffusion dynamics and structural stability of NaMN was *** physicochemical characterizations suggest that the introduction of Sc and Zn broaden Na^(+) diffusion channels and weaken the Na—O bonds,thereby facilitating the diffusion of sodium *** indicate that the Sc and Zn dual-substitution decreases the diffusion barrier of Na-ions and improves the conductivity of the *** dual-substituted NaMn_(0.5)Ni_(0.4)Sc_(0.04)Zn_(0.04)O_(2)(Na MNSZ44)cathode delivers impressive cycle stability with capacity retention of 71.2%after 200 cycles at 1C and 54.8%after 400 cycles at ***,the full cell paired with hard carbon anode exhibits a remarkable long-term cycling stability,showing capacity retention of 64.1%after 250 cycles at *** results demonstrate that Sc and Zn dual-substitution is an effective strategy to improve the Na^(+) diffusion dynamics and structural stability of NaMN.

关键词： layered oxide cathode Sc and Zn dual-substitution structural stability Na^(+)diffusion dynamics

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ET Properties Progress in DC Voltage Environments for XLPE Insulation System 5

ET Properties Progress in DC Voltage Environments for XLPE I...

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5th IEEE Global Conference for Advancement in technology, GCAT 2024

作者： Garg, Prateek Verma, Ashish Goyal, Shitij Vijayalakshmi, J. Francis, G. Arun Mathurkar, Piyush Chitkara University Chitkara Centre for Research and Development Himachal Pradesh 174103 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Quantum University Research Center Quantum University India Karpagam Academy of Higher Education Department of Electrical And Electronics Engineering Coimbatore641021 India Karpagam College of Engineering Department of Electronics and Communication Engineering Coimbatore641032 India Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798350376685

Using a mixture of treeing tests and microscope monitoring systems, the growth features of electrical trees s(ET) within XLPE cable insulation (CI) during DC voltage (DCV) circumstances were investigated. The pin-plane separation & needle electrodes tip radius inside the treeing tests specimens were both 2 mm. No trees appeared whenever a 70 kV DCV were administered to the samples for a total of 10 hours, whether continually or sporadically. A 50-kV conventional lightening impulse thus originally set off all of the trees for the growth research. To enable the necessary monitoring and documentation, the DCVs were repeatedly delivered. Underneath the DCVs, these ETs progressively changed from a single thin limb to a patchy bush like architecture, and eventually to a tree. It was discovered that channels weren't conductors. In comparison to AC trees in comparable conditions, overall growth rates (GR) was relatively low. According to grouping studies, the size of the tree rose with the intensity and number of DCV cycles, as well as being correlated with the volt period within every round at 60 kV. The transmission system and a non - conducting tree model have provided a solid explanation for these patterns of mature trees, and it is believed that the discharges that occur in the tree pathways are what spur the growth of trees. A new tree should start right away from the needle electrodes in the event of an unanticipated ground, whereas an existing tree would develop extremely quickly. This is connected to the physical harm. produced by the infused charges' abrupt discharge. The suggestions provided in the work are helpful for test setup and HVDC wire operational planning. © 2024 IEEE.

关键词： Needles

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酸性矿井水环境中矸石胶结充填体的强度演化及劣化规律

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Journal of Central South University 2024年第5期31卷 1560-1573页

作者：赵永辉郭育霞冯国瑞 College of Mining Engineering Taiyuan University of TechnologyTaiyuan 030024China Shanxi Province Research Centre of Green Mining Engineering Technology Taiyuan 030024China Shanxi Province Coal-based Resources Green and High-efficiency Development Engineering Center Taiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030024China

矸石胶结充填开采是一种重要的充填开采方法,然而,酸性矿井水会严重影响矸石胶结充填体的强度。在本研究中,将矸石胶结充填体试件分别置于不同环境(空气、水、硫酸溶液、硫酸与荷载耦合)中,测试了不同龄期试件的抗压强度、电阻率及超声... 详细信息

矸石胶结充填开采是一种重要的充填开采方法,然而,酸性矿井水会严重影响矸石胶结充填体的强度。在本研究中,将矸石胶结充填体试件分别置于不同环境(空气、水、硫酸溶液、硫酸与荷载耦合)中,测试了不同龄期试件的抗压强度、电阻率及超声波波速,监测了加载过程中试件的声发射能量数值,同时结合扫描电镜和X衍射分析不同龄期充填体的微观结构。结果表明,1)空气中与水中养护的充填体抗压强度的增长趋势随龄期的增加而逐渐减缓。硫酸溶液中的充填体强度在前90天大于空气及水中养护的充填体强度。硫酸溶液与荷载耦合作用下充填体的强度随龄期的下降速率比单一硫酸溶液作用的较为缓慢;2)不同龄期矸石胶结充填体电阻率与超声波波速与强度有较好的对应关系。受侵蚀后矸石胶结充填体的破坏形式较为多样,且在加载不同阶段表现出不同的声发射能量特征,可以将声发射能量激增作为充填体的破坏前兆;3)侵蚀产物前期填充充填体内部孔隙,提高了其强度,后期会导致充填体膨胀开裂,强度降低。施加40%应力强度比的荷载会抵抗硫酸溶液的侵蚀。本文研究结果可以为充填体的耐侵蚀设计提供参考。

关键词：酸性矿井水矸石胶结充填体劣化规律电阻率超声波波速声发射能量微观结构

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Sensitivity Analysis of Maximum Range Trajectories for Hypersonic Reentry Vehicle

Sensitivity Analysis of Maximum Range Trajectories for Hyper...

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2022 Chinese Automation Congress, CAC 2022

作者： Weiwei, Cai Runde, Zhang Houjun, Ao National University of Defense Technology College of Aerospace Science and Engineering Changsha China State Key Laboratory of Aerodynamics Computational Aerodynamic Institute China Aerodynamic Research and Development Center Mianyang China

ISBN: (纸本)9781665465335

Trajectory optimization is usually an important work in the flight vehicle's conceptual design and mission planning, while sensitivity analysis of the optimized trajectory could provide a deep insight of the potential influencing factors. Concentrating on the sensitivity analysis of maximum range trajectories for hypersonic reentry vehicle, this paper presents a hybrid solution framework combing trajectory optimization and orthogonal experiment techniques. The global effects of the reentry vehicle's initial states, aerodynamic parameters, and physical parameters on the maximum range trajectories are quantitatively analyzed. The feasibility and validity are demonstrated by numerical simulations. The sensitivity analysis framework herein may provide a beneficial reference for the optimal mission design and analysis of the other flight vehicles. © 2022 IEEE.

关键词： Sensitivity analysis

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Spectral manipulation in a high-power ultrafast fiber laser system generating ultrashort pulses with GHz repetition rate

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Chinese Optics Letters 2023年第9期21卷 91-95页

作者：张英韬李子豪王天玺修昊韦池一王麓屹郝默雷韦小明杨中民 School of Physics and Optoelectronics State Key Laboratory of Luminescent Materials and DevicesGuangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and DevicesGuangdong Provincial Key Laboratory of Fiber Laser Materials and Applied TechniquesSouth China University of TechnologyGuangzhou 510640China Research Institute of Future Technology South China Normal UniversityGuangzhou 510006China

In this work,we demonstrate the spectral manipulation in an ultrafast fiber laser system that generates ultrashort pulses with a repetition rate of 1.2 GHz and two switchable modes—a 1064-nm fundamental laser mode with a maximum output power of 66.6 W,and a 1125-nm Raman laser mode with a maximum output power of 17.23 *** pulse width,beam quality,and power stability are carefully *** also investigate a method to switch between the two modes by manipulating the duty cycle of the modulation *** is anticipated that this bi-mode ultrafast fiber laser system can be a promising ultrafast laser source for frontier applications,such as micromachining,bioimaging,and spectroscopy.

关键词： high power high repetition rate ultrafast fiber laser

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Prospects of Solid Fluidization for Natural Gas Hydrate development in South China Sea via SWOT Analysis 29th

Prospects of Solid Fluidization for Natural Gas Hydrate Deve...

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29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023

作者： Chen, Ye Bian, Qi Yao, Wang Gao, Dongzhi Wang, Yanlong Chen, Xu Liu, Song Gao, Yonghai CNOOC Offshore Oil Engineering Co. Ltd. Tianjin China Shandong Qingdao China CNOOC Research Institute Ltd. Beijing China Co. Ltd. Qingdao China Shanghai Engineering Technology Branch CNOOC Energy Development Co. Ltd. Shanghai China

ISBN: (纸本)9783031425141

Solid fluidization is a new method to extract natural gas hydrate (NGH) out of theburied sediments, which is characterized by collecting hydrate resources in solid state first and decomposing into fluid later. Combining both the merits of traditional mineral and petroleum developments, solid fluidization can obtain the new supply fuel without a series of security risks caused by hydrate disorder phase transitions. In this paper, the strength, weakness, opportunity and threaten of solid fluidization are discussed respectively by SWOT analysis, then the related application prospect for NGH development in South China Sea is obtained. It is indicated that solid fluidization is one of the most suitable development method for the geological characteristics like loose, weak cementation of NGH-bearing sedimentary reservoir in South China Sea. However, there are also some application limits such as weak theoretical foundation, immature technical system and urgent improvement need of mining capacity. Grasping the global energy structure transformation tide and responding to the technology challenges actively, solid fluidization is believed to become the one of the core optimization methods for commercial marine NGH development in the future, especially in South China Sea. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Hydration

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Morphological responses of the sand engines to a flood process 33rd

Morphological responses of the sand engines to a flood proce...

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33rd International Ocean and Polar Engineering Conference, ISOPE 2023

作者： Fan, Jiadong Kuang, Cuiping Mao, Xiaodan Gong, Lixin College of Civil Engineering Tongji University Shanghai China National Engineering Research Center of Dredging Technology and Equipment Shanghai China The Eighth Geological Brigade Hebei Geological and Mineral Exploration Development Bureau Qinhuangdao China Marine Ecological Restoration and Smart Ocean Engineering Research Center Hebei Province Qinhuangdao China

ISBN: (纸本)9781880653807

Sand engines are first used as sandy headlands and nourishing source in Qinhuangdao, China. To investigate the morphological responses of the submerged and emerged sand engines to a flood process, a numerical model is established for simulations. The results indicate that the floodinduced vortex can alter the littoral currents, and generate a high sediment concentration zone by the upstream input, flood-induced bed scour and wave-induced coastal erosion. The sand engines can hinder the littoral currents, and decrease the maximum concentration along the coast by 80%. Moreover, the maximum erosion depth in the engineering cover area decrease by at least 50%. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Floods

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