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Fortifying Healthcare Data Security in the Cloud:A Comprehensive Examination of the EPM-KEA Encryption Protocol

Computers, Materials & Continua 2024年第5期79卷 3397-3416页

作者： Umi Salma Basha shashi kant gupta Wedad Alawad SeongKi Kim Salil Bharany Computer Science and Information Technology Jazan UniversityJazanSaudi Arabia CSE Eudoxia Research UniversityNew CastleUSA Department of Information Technology College of Computer ScienceQassim UniversityBuraydahSaudi Arabia National Center of Excellence in Software Sangmyung UniversitySeoulKorea Department of Computer Science and Engineering Lovely Professional UniversityPhagwaraPunjabIndia

A new era of data access and management has begun with the use of cloud computing in the healthcare *** the efficiency and scalability that the cloud provides, the security of private patient data is still a majorconcern. Encryption, network security, and adherence to data protection laws are key to ensuring the confidentialityand integrity of healthcare data in the cloud. The computational overhead of encryption technologies could leadto delays in data access and processing rates. To address these challenges, we introduced the Enhanced ParallelMulti-Key Encryption Algorithm (EPM-KEA), aiming to bolster healthcare data security and facilitate the securestorage of critical patient records in the cloud. The data was gathered from two categories Authorization forHospital Admission (AIH) and Authorization for High Complexity *** use Z-score normalization forpreprocessing. The primary goal of implementing encryption techniques is to secure and store massive amountsof data on the cloud. It is feasible that cloud storage alternatives for protecting healthcare data will become morewidely available if security issues can be successfully fixed. As a result of our analysis using specific parametersincluding Execution time (42%), Encryption time (45%), Decryption time (40%), Security level (97%), and Energyconsumption (53%), the system demonstrated favorable performance when compared to the traditional *** suggests that by addressing these security concerns, there is the potential for broader accessibility to cloudstorage solutions for safeguarding healthcare data.

关键词： Cloud computing healthcare data security enhanced parallel multi-key encryption algorithm(EPM-KEA)

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Geographic patterns of genetic diversity and fertility restoration ability of Asian and African origin pearl millet populations

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The Crop Journal 2022年第2期10卷 468-477页

作者： K.Sudarshan Patil shashi Kumar gupta International Crops Research Institute for the Semi-Arid Tropics(ICRISAT) PatancheruHyderabad 502324TelanganaIndia Professor Jayashankar Telangana State Agricultural University(PJTSAU) RajendranagarHyderabad 500030TelanganaIndia

A set of 45 diverse Asian and African origin/bred populations of pearl millet were investigated multi-locationally for morphological traits including grain yield and assessed for their fertility restoration ability on three cytoplasmic male sterility(CMS) systems in two contrasting seasons. Significant genetic variation was found for all the yield linked traits. Multivariate analysis for grain yield and its component traits grouped these populations into five clusters. Most of the Asian origin populations grouped into single cluster(Cluster III) and separated from the rest of the African origin populations indicating the presence of correspondence between clustering pattern and geographical origin of the populations. Clusters dominated with Asian populations(As-As) had linkages with early flowering, short plant height, more number of tillers, small and thin panicles, small seeded and low grain yield compared to the clusters dominated by African populations(Af-Af) or African origin and Asian bred(Af-As) *** related populations having common parentage were found grouped in same *** restoration/maintainer frequency of 45 populations on three diverse CMS systems revealed that overall fertility restoration frequency was highest for A1(86%) followed by A4(37%) and for A5(7%) CMS system. Five populations were identified as potential sources for developing maintainer lines for all three CMS systems and eight populations were identified specifically for A;and A;CMS systems. A set of 11 and four populations were identified for restorer line development exclusively for A;and A;CMS system,respectively. Six populations were identified for the development of dual restorers for both A;and A;CMS system.

关键词： CMS systems Fertility restoration Morphological diversity Pearl millet Populations

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Deep Learning Based Automated Detection of Diseases from Apple Leaf Images

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Computers, Materials & Continua 2022年第4期71卷 1849-1866页

作者： Swati Singh Isha gupta Sheifali gupta Deepika Koundal Sultan Aljahdali Shubham Mahajan Amit kant Pandit Department of Electronics and Communication Engineering University Institute of TechnologyHimachal Pradesh UniversityShimla171005India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Systemics School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradunIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia School of Electronics&Communication Shri Mata Vaishno Devi UniversityKatra185320India

In Agriculture Sciences, detection of diseases is one of the mostchallenging tasks. The mis-interpretations of plant diseases often lead towrong pesticide selection, resulting in damage of crops. Hence, the automaticrecognition of the diseases at earlier stages is important as well as economicalfor better quality and quantity of fruits. Computer aided detection (CAD)has proven as a supportive tool for disease detection and classification, thusallowing the identification of diseases and reducing the rate of degradationof fruit quality. In this research work, a model based on convolutional neuralnetwork with 19 convolutional layers has been proposed for effective andaccurate classification of Marsonina Coronaria and Apple Scab diseases fromapple leaves. For this, a database of 50,000 images has been acquired bycollecting images of leaves from apple farms of Himachal Pradesh (H.P)and Uttarakhand (India). An augmentation technique has been performedon the dataset to increase the number of images for increasing the *** performance analysis of the proposed model has been compared with thenew two Convolutional Neural Network (CNN) models having 8 and 9 layersrespectively. The proposed model has also been compared with the standardmachine learning classifiers like support vector machine, k-Nearest Neighbour, Random Forest and Logistic Regression models. From experimentalresults, it has been observed that the proposed model has outperformed theother CNN based models and machine learning models with an accuracy of99.2%.

关键词： Deep learning convolutional neural network apple leaves apple scab support vector machine

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Deep Learning Based Automated Diagnosis of Skin Diseases Using Dermoscopy

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Computers, Materials & Continua 2022年第5期71卷 3145-3160页

作者： Vatsala Anand Sheifali gupta Deepika Koundal Shubham Mahajan Amit kant Pandit Atef Zaguia Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Systemics School of Computer ScienceUniversity of Petroleum&Energy StudiesDehradunUttrakhandIndia School of Electronics&Communication Shri Mata Vaishno Devi UniversityKatra182320India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Biomedical image analysis has been exploited considerably by recent technology involvements,carrying about a pattern shift towards‘automation’and‘error free diagnosis’classification methods with markedly improved accurate diagnosis productivity and cost *** paper proposes an automated deep learning model to diagnose skin disease at an early stage by using Dermoscopy *** proposed model has four convolutional layers,two maxpool layers,one fully connected layer and three dense *** the convolutional layers are using the kernel size of 3∗3 whereas the maxpool layer is using the kernel size of 2∗*** dermoscopy images are taken from the HAM10000 *** proposed model is compared with the three different models of ResNet that are ResNet18,ResNet50 and *** models are simulated with 32 batch size and Adadelta *** proposed model has obtained the best accuracy value of 0.96 whereas the ResNet101 model has obtained 0.90,the ResNet50 has obtained 0.89 and the ResNet18 model has obtained value as ***,features obtained from the proposed model are more capable for improving the classification performance of multiple skin disease *** model can be used for early diagnosis of skin disease and can also act as a second opinion tool for dermatologists.

关键词： Dermoscopy images CNN deep learning classification optimizer ResNet diagnosis skin disease

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Comparison of eigensensitivity and ANN based methods in model updating of an eight-story building

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Earthquake Engineering and Engineering Vibration 2015年第3期14卷 453-464页

作者： Prabakaran K Ashok Kumar shashi kant Thakkar Department of Civil Engineering PSG College of Technology Department of Earthquake Engineering IIT Roorkee

Analytical models prepared from field drawings do not generally provide results that match with experimental *** error may be due to uncertainties in the property of materials,size of members and errors in the modelling *** is important to improve analytical models using experimentally obtained *** the past several years,data obtained from ambient vibration testing have been successfully used in many cases to update and match dynamic behaviors of analytical models with real *** paper presents a comparison between artificial neural network(ANN) and eigensensitivity based model updating of an existing multi-story building.A simple spring-mass analytical model,developed from the structural drawings of the building,is considered and the corresponding spring stiffness and lumped mass of all floors are chosen as updating *** advantages and disadvantages of these updating methods are *** advantage is that both methods ensure a physically meaningful model which canbe further employed in determining structural response and health monitoring.

关键词： ambient vibration measurement model updating artif

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Optimality Conditions and Duality for Nondifferentiable Multiobjective Semi-Infinite Programming Problems with Generalized(C,α,ρ,d)-Convexity

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Journal of Systems Science & Complexity 2015年第1期28卷 47-59页

作者： MISHRA shashi kant JAISWAL Monika HOAI AN Le Thi Department of Mathematics Banaras Hindu University Laboratory of Theoretical and Applied Computer Science LITA UFR MIMUniversity of Lorraine

This paper obtains sufficient optimality conditions for a nonlinear nondifferentiable multiobjective semi-infinite programming problem involving generalized(C,α,ρ,d)-convex *** authors formulate Mond-Weir-type dual model for the nonlinear nondifferentiable multiobjective semiinfinite programming problem and establish weak,strong and strict converse duality theorems relating the primal and the dual problems.

关键词：不可微多目标严格逆对偶定理规划问题半无限最优性条件广义非线性凸函数

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ON APPROXIMATE EFFICIENCY FOR NONSMOOTH ROBUST VECTOR OPTIMIZATION PROBLEMS

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Acta Mathematica Scientia 2020年第3期40卷 887-902页

作者： Tadeusz ANTCZAK Yogendra PANDEY Vinay SINGH shashi kant MISHRA Faculty of Mathematics and Computer Science University of LódźBanacha 2290-238 LódźPoland Department of Mathematics Satish Chandra CollegeBallia 277001India Department of Mathematics National Institute of TechnologyAizawl-796012MizoramIndia Department of Mathematics Banaras Hindu UniversityVaranasi-221005India

In this article,we use the robust optimization approach(also called the worst-case approach)for findingε-efficient solutions of the robust multiobjective optimization problem defined as a robust(worst-case)counterpart for the considered nonsmooth multiobjective programming problem with the uncertainty in both the objective and constraint ***,we establish both necessary and sufficient optimality conditions for a feasible solution to be anε-efficient solution(an approximate efficient solution)of the considered robust multiobjective optimization *** also use a scalarizing method in proving these optimality conditions.

关键词： Robust optimization approach robust multiobjective optimization ε-efficient solution ε-optimality conditions scalarization

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On Semi-infinite Mathematical Programming Problems with Equilibrium Constraints Using Generalized Convexity

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Journal of the Operations Research Society of China 2020年第4期8卷 619-636页

作者： Bhuwan Chandra Joshi shashi kant Mishra Pankaj Kumar Centre for Interdisciplinary Mathematical Sciences Department of Science&TechnologyInstitute of ScienceBanaras Hindu UniversityVaranasi 221005India Department of Mathematics Institute of ScienceBanaras Hindu UniversityVaranasi 221005India Mahila Maha Vidyalaya Banaras Hindu UniversityVaranasi 221005India

In this paper,we consider semi-infinite mathematical programming problems with equilibrium constraints(SIMPPEC).By using the notion of convexificators,we establish sufficient optimality conditions for the *** formulate Wolfe and Mond–Weir-type dual models for the SIMPPEC under the invexity and generalized invexity *** and strong duality theorems are established to relate the SIMPPEC and two dual programs in the framework of convexificators.

关键词： Duality Convexificators Generalized invexity Constraint qualification

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Intracranial pressure monitoring:Gold standard and recent innovations

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World Journal of Clinical Cases 2019年第13期7卷 1535-1553页

作者： Deb Sanjay Nag Seelora Sahu Amlan Swain shashi kant Department of Anaesthesiology and Critical Care Tata Main Hospital

Intracranial pressure monitoring (ICP) is based on the doctrine proposed by Monroe and Kellie centuries ago. With the advancement of technology and science, various invasive and non-invasive modalities of monitoring ICP continue to be developed. An ideal monitor to track ICP should be easy to use, accurate, reliable, reproducible, inexpensive and should not be associated with infection or haemorrhagic complications. Although the transducers connected to the extra ventricular drainage continue to be Gold Standard, its association with the likelihood of infection and haemorrhage have led to the search for alternate noninvasive methods of monitoring ICP. While Camino transducers, Strain gauge micro transducer based ICP monitoring devices and the Spiegelberg ICP monitor are the emerging technology in invasive ICP monitoring, optic nerve sheath diameter measurement, venous opthalmodynamometry, tympanic membrane displacement, tissue resonance analysis, tonometry, acoustoelasticity, distortionproduct oto-acoustic emissions, trans cranial doppler, electro encephalogram, near infra-red spectroscopy, pupillometry, anterior fontanelle pressure monitoring, skull elasticity, jugular bulb monitoring, visual evoked response and radiological based assessment of ICP are the non-invasive methods which are assessed against the gold standard.

关键词： Intracranial pressure increase Craniocerebral trauma Subarachnoid hemorrhages

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Dynamic hip screw with locking side plate： a viable treatment option for intertrochanteric fracture

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Chinese Journal of Traumatology 2014年第2期17卷 88-92页

作者： Nilesh Barwar Sanjay Meena shashi kant Aggarwal Prashant Garhwal Department of Orthopedics All India Institute ofMedical Sciences New Delhi 110029 India Department of Orthopaedics SP Medical College andAssociated Group of Hospitals Bikaner Rajasthan India

ObjectiveDynamic 新潮的螺丝钉(DHS ) 为稳定的 intertrochanteric 破裂的固定被推荐。它的手术后的开口率从 1% ～ 6%。在 osteoporotic 骨头，在 DHS 片的正常螺丝钉与锁螺丝钉相比提供更少的抛锚。这研究试图把 DHS 与锁方面板和常... 详细信息

ObjectiveDynamic 新潮的螺丝钉(DHS ) 为稳定的 intertrochanteric 破裂的固定被推荐。它的手术后的开口率从 1% ～ 6%。在 osteoporotic 骨头，在 DHS 片的正常螺丝钉与锁螺丝钉相比提供更少的抛锚。这研究试图把 DHS 与锁方面板和常规方面 *** 作比较有 intertrochanteric 破裂的连续病人随机与标准 DHS (组 A ) 和锁住的 DHS 为固定被分配(Combi 板，组 B ) 。我们在 intertrochanteric 破裂为常规 DHS 和锁住的 DHS 比较了临床、放射学的结果。功能的结果用 *** valga 比在组 B 在组 A 更经常被发现的帕克活动性被评估(12% 对 0% ， P ； = ； 0.42 ) 。臀部 vara 显示出一样的趋势(12% 对 8% ， P ； = ； 0.81 ) 。在健全方面的 20 ° 以内的手术后的颈柄角度的恢复的率比在组 A 在组 B (8% 盒子) 是更高的(4% 盒子， P ； = ； 0.98 ) 。在健全方面的 10 ° 以内的子宫前倾角度恢复的率在组 B 也是更高的(100% 对 88% ， s ； = ； 0.85 ) 。一般水准落后在组 A 和组 B 的螺丝钉滑动是 3.2 ；公里和 4.2 ；公里，平均破裂联合持续时间是 17.1 个星期， 16.4 个星期，和吝啬的帕克得分分别地是 5.6 和 5.8。螺丝钉开口在组 A 在一个病人被看见。没有开口在组 B 在任何病人被看见。没有耐心的发达深感染， avascular 坏死，深静脉血栓或任何东西学习表明了的在场的另外的重要 *** 有锁住的 DHS 的那对待的 intertrochanteric 破裂允许健全骨头愈合并且是没与任何主要复杂并发症联系。尽管这份报告是有希望的，因为仅仅有一种大样品尺寸的未来的研究将允许权威的结论，它应该小心地被解释。

关键词：骨折愈合股骨头螺钉侧板治疗锁紧国土安全部骨质疏松

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