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Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection

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Computers, Materials & Continua 2024年第2期78卷 2441-2468页

作者： Vaishnawi Priyadarshni sanjay Kumar sharma Mohammad Khalid Imam Rahmani Baijnath Kaushik Rania Almajalid Department of Computer Science Gautam Buddha UniversityGreater NoidaUttar PradeshIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computer Science Shri Vaishno Devi UniversityKatraIndia

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in *** detection and effective treatment of BC can help save women’s *** an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection *** paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging Subset of the Digital Database for Screening Mammography(CBIS-DDSM)data *** novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated *** analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

关键词： Autoencoder breast cancer deep neural network convolutional neural network image processing machine learning deep learning

One-Pot Green Synthesis of 1, 4-Dihydropyridine Derivatives Using Polyindole TiO2 Nanocatalyst by Solvent Free Method

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Open Journal of Composite Materials 2024年第3期14卷 109-123页

作者： Deepak Babasaheb Phasage sanjay K. sharma Balram Tripathi Sonia Chahar Srivastava Department of Chemistry JECRC University Jaipur India S. S. Jain Subodh PG College Jaipur India

This study used a Polyindole in combination with TiO2 nanocatalyst as an efficient heterogeneous catalyst to carry out a multi-component Hantzsch reaction involving different aromatic aldehydes with methyl acetoacetate, and aqueous ammonium to create 1,4-dihydropyridine derivatives under solvent free condition at ambient temperature. A broad range of aldehydes and methyl acetoacetates, ranging from heteroaromatic to polyaromatic one, with high level of functional group tolerance can be used to provide the desired products possessing relevant medicinal moiety in high yields. This technology has prospective advantages over current protocols, including the utilization of a cheap, stable, recyclable, and safe catalyst, quicker reaction times with higher yields and simple product isolation.

关键词： TiO2 Nanocatalyst Green Synthesis Surface Morphology

Secure Rotation Invariant Face Detection System for Authentication

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Computers, Materials & Continua 2022年第1期70卷 1955-1974页

作者： Amit Verma Mohammed Baljon Shailendra Mishra Iqbaldeep Kaur Ritika Saini Sharad Saxena sanjay Kumar sharma Department of Computer Science&Engineering Chandigarh Group of CollegesMohali140317India Department of Computer Engineering College of Computer&Information ScienceMajmaah University11952Saudi Arabia Department of Computer Science and Engineering Thapar Institute of Engineering&TechnologyPatiala147004India Department of Computer Centre&Campus Network Facility Science Complex PO Central UniversityGachibowliHyderabad500046TelanganaIndia

Biometric applications widely use the face as a component for recognition and automatic *** rotation is a variable component and makes face detection a complex and challenging task with varied angles and *** problem has been investigated,and a novice algorithm,namely RIFDS(Rotation Invariant Face Detection System),has been *** objective of the paper is to implement a robust method for face detection taken at various *** to achieve better results than known algorithms for face *** RIFDS Polar Harmonic Transforms(PHT)technique is combined with Multi-Block Local Binary Pattern(MBLBP)in a hybrid *** MBLBP is used to extract texture patterns from the digital image,and the PHT is used to manage invariant rotation *** this manner,RIFDS can detect human faces at different rotations and with different facial *** RIFDS performance is validated on different face databases like LFW,ORL,CMU,MIT-CBCL,JAFFF Face Databases,and Lena *** results show that the RIFDS algorithm can detect faces at varying angles and at different image resolutions and with an accuracy of 99.9%.The RIFDS algorithm outperforms previous methods like Viola-Jones,Multi-blockLocal Binary Pattern(MBLBP),and Polar HarmonicTransforms(PHTs).The RIFDS approach has a further scope with a genetic algorithm to detect faces(approximation)even from shadows.

关键词： Pose variations face detection frontal faces facial expressions emotions

Dengue causing relapse of minimal change disease: A double-edged sword

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Asian Pacific Journal of Tropical Medicine 2024年第5期17卷 237-238页

作者： Sourabh sharma Himanshu Verma sanjay Kalra Department of Nephrology VMMC&Safdarjung HospitalNew DelhiIndia Department of Endocrinology Bharti HospitalKarnalIndia

Dengue virus infection is endemic in India with seasonal *** can lead to lethal consequences with plasma leakage and/or bleeding[1,2].Dengue shock syndrome has high mortality in developing countries like *** can cause functional proteinuria and even heavy proteinuria[3-6].Though dengue has been implicated to cause glomerulonephritis[7],to the best of our knowledge,dengue as a cause of relapse of minimal change disease(MCD)has not been reported.

关键词： relapse mortality bleeding

A Wavelet Neural Network Based Non-linear Model Predictive Controller for a Multi-variable Coupled Tank System

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International Journal of Automation and computing 2015年第2期12卷 156-170页

作者： Kayode Owa sanjay sharma Robert Sutton School of Marine Science and Engineering University of Plymouth Marine and Industrial Dynamic Analysis (MIDAS) Research Group University of Plymouth

In this paper, a novel real time non-linear model predictive controller(NMPC) for a multi-variable coupled tank system(CTS) is designed. CTSs are highly non-linear and can be found in many industrial process applications. The involvement of multi-input multi-output(MIMO) system makes the design of an effective controller a challenging task. MIMO systems have inherent couplings,interactions in-between the process input-output variables and generally have an complex internal structure. The aim of this paper is to design, simulate, and implement a novel real time constrained NMPC for a multi-variable CTS with the aid of intelligent system techniques. There are two major formidable challenges hindering the success of the implementation of a NMPC strategy in the MIMO case. The first is the difficulty of obtaining a good non-linear model by training a non-convex complex network to avoid being trapped in a local minimum solution. The second is the online real time optimisation(RTO) of the manipulated variable at every sampling time.A novel wavelet neural network(WNN) with high predicting precision and time-frequency localisation characteristic was selected for an MIMO model and a fast stochastic wavelet gradient algorithm was used for initial training of the network. Furthermore, a genetic algorithm was used to obtain the optimised parameters of the WNN as well as the RTO during the NMPC strategy. The proposed strategy performed well in both simulation and real time on an MIMO CTS. The results indicated that WNN provided better trajectory regulation with less mean-squared-error and average control energy compared to an artificial neural network. It is also shown that the WNN is more robust during abnormal operating conditions.

关键词： Wavelet neural network(WNN) non-linear model predictive control(NMPC) real time practical implementation multi-input multi-outpu

Cognitive Radios： A Survey On Spectrum Sensing, Security and Spectrum Handoff

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China Communications 2017年第11期14卷 185-208页

作者： Vishakha Ramani sanjay K.sharma ECE Department University Institute of Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya Ringgold Standard Institution Airport Bypass Road Bhopal Madhya Pradesh Bhopal Bhopal 462036 India

Pervasive wireless computing and communication have created an ever-increasing demand for more radio spectrum. Since, most of the spectrum is underutilized, it motivated the introduction of the concept of cognitive radios, a dynamic spectrum access enabling technology. The first stage of cognitive radio is to sense the environment and determine which parts of the spectrum are available. This is achieved through spectrum sensing. However, spectrum sensing poses the most fundamental challenge in cognitive radios. Moreover, cognitive radios suffer from many vulnerabilities and the security attacks can severely degrade the performance of cognitive radios. This paper surveys state-of-theart research on spectrum sensing and security threats in cognitive radios. Lastly, we also consider the analysis of issues related to spectrum handoffs in cognitive radios.

关键词： cogntive radio spectrum sesning security spectrum handoff

Pharmacological and analytical aspects of artemisinin for malaria: Advances and challenges

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Asian Pacific Journal of Tropical Medicine 2019年第8期12卷 339-346页

作者： Sravani Karri sanjay sharma Ginpreet Kaur NMIMS School of Pharmacy and Technology ManagementShirpurMaharashtraIndia425405 NMIMS Shobhaben Pratapbhai Patel School of Pharmacy and Technology ManagementMumbaiMaharashtraIndia400056

Malaria remains a major tropical health burden owing to the development of resistance and decreased sensitivity to the frequently used conventional antimalarial drugs. The drug like artemisinin possesses potent antimalarial activities, but has some limitations. Therefore, new strategies are to be implemented for optimal utilization of artemisinin to improve its therapeutic effectiveness and to overcome its limitations. The present review focuses on present scenario of malaria and pharmacological as well as analytical aspects of artemisinin. Data from 2000 to 2018 were collected from NCBI for understanding the various analytical techniques used for estimation of artemisinin. This review will reveal the facts about artemisinin which can be utilized to develop novel drug delivery system either in a combination or as alone for the wellbeing of the patients suffering from malaria.

关键词： Malaria Artemisinin Pharmacokinetics Mechanism Analytical techniques

Recent advances in imaging techniques of renal masses

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World Journal of Radiology 2022年第6期14卷 137-150页

作者： Ankita Aggarwal Chandan J Das sanjay sharma Department of Radiology Vardhman Mahavir Medical College&Safdarjung HospitalDelhi 110029India Chandan Department of Radiodiagnosis and Interventional Radiology All India Institute of Medical SciencesDelhi 110029India Department of Radiology(RPC) All India Institute of Medical SciencesNew Delhi 110029India

Multiphasic multidetector computed tomography(CT)forms the mainstay for the characterization of renal masses whereas magnetic resonance imaging(MRI)acts as a problem-solving tool in some ***,a few of the renal masses remain indeterminate even after evaluation by conventional imaging *** overcome the deficiency in current imaging techniques,advanced imaging methods have been devised and are being *** review will cover the role of contrast-enhanced ultrasonography,shear wave elastography,dual-energy CT,perfusion CT,MR perfusion,diffusion-weighted MRI,blood oxygen leveldependent MRI,MR spectroscopy,positron emission tomography(PET)/prostate-specific membrane antigen-PET in the characterization of renal masses.

关键词： Advanced imaging techniques Renal mass Contrast-enhanced ultrasonography renal Shear wave elastography

Influence of tool rotation speeds on mechanical and morphological properties of friction stir processed nano hybrid composite of MWCNT-Graphene-AZ31 magnesium

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Journal of Magnesium and Alloys 2019年第3期7卷 487-500页

作者： sanjay sharma Amit Handa Sahib Sartaj Singh Deepak Verma I.K.Gujral punjab technical university kapurthalaIndia punjabi university patialaindia graphic era hill university dehradunindia

The ever-increasing demand for light weighted hard materials for transportation industries encouraged researchers to develop composites with excellent mechanical properties which can transform it into more economical and *** the metals with carbonaceous nanomaterials are progressively in focus due to their excellent capability to inculcate and tailor the properties of *** the present research,a hybrid nanocomposite of MWCNT-Graphene-AZ31 Mg alloy has been developed by using variable tool rotation speeds with friction stir processing(FSP).Optimized reinforcement ratio of 1.6%*** and 0.3%*** graphene have been used with variable tool rotation speeds,whereas other processing parameters are kept *** developed specimens were investigated using standard testing equipment for evaluating and comparing the mechanical properties on the basis of the microstructure of the processing regions and their morphological analysis,according to the ASTM *** obtained results revealed an improvement of 19.72%in microhardness and 77.5% of compressive strength in comparison with the base metal AZ 31 Magnesium alloy,with a tool rotational speed of *** values of tensile stress and percentage area reduction were recorded as less than that of the base metal matrix,but an increasing trend has been observed in the values of both with the improvement on rotational speeds of the *** effectual strengthening mechanisms are analyzed on the bases of SEM images and observed that discussed and found that grain refinement strengthening is the major contributor to the strength of the nanocomposite.

关键词： MMCs(Metal Matrix composites) Friction stir processing(FSP) Multi-walled carbon nanotubes(MWCCT) Graphene Nano Particular Stir Zone(SZ) Thermo-mechanically affected zone(TMAZ) Heat Affected Zone(HAZ)