检索结果-南通市图书馆

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

Secure Rotation Invariant Face Detection System for Authentication

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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

Bit Error Rate （BER） Performance Evaluation of Various Space-time Block Codes in MIMO Wireless Communications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

通讯和计算机（中英文版） 2010年第3期7卷 32-38页

作者： sanjay kumar sharma Syed Naseem Ahmad Department of Electronics and Communication Engg. Krishna Institute of Engg. and Technology Ghaziabad 201206 （U.P.）India Department of Electronics and Communication Engg. Jamia Millia Islamia New Delhi-110025 India

BER Performance of Space-Time Coded MMSE DFE for Wideband Code Division Multiple Access (WCDMA)

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Communications, Network and System Sciences 2009年第4期2卷 276-282页

作者： sanjay kumar sharma S. Naseem AHMAD Dept. of Electronics and Communication Engg Jamia Millia Islamia Delhi India Dept. of Electronics and Communication Engg. Krishna Institute of Engg. and Technology Ghaziabad India

In recent times, there has been growing interests in integration of voice, data and video traffic in wireless communication networks. With these growing interests, WCDMA has immerged as an attractive access technique. The performance of WCDMA system is deteriorated in presence of multipath fading environment. The paper presents space-time coded minimum mean square error (MMSE) Decision Feedback Equalizer (DFE) for wideband code division multiple access (WCDMA) in a frequency selective channel. The filter coefficients in MMSE DFE are optimized to suppress noise, intersymbol interference (ISI), and multiple access interference (MAI) with reasonable system complexity. For the above structure, we have presented the estimation of BER for a MMSE DFE using computer simulation experiments. The simulation includes the effects of additive white Gaussian noise, multipath fading and multiple access interference (MAI). Furthermore, the performance is compared with standard linear equalizer (LE) and RAKE receiver. Numerical and simulation results show that the MMSE DFE exhibits significant performance improvement over the standard linear equalizer (LE) and RAKE receiver.

关键词： Decision Feedback Equalizer Multiple Access Interference (MAI) RAKE Receiver Transmit Diversity Wideband Code-Division Multiple-Access (WCDMA) Bit Error Rate (BER)

Comparative efficacy of hyperbaric bupivacaine vs hyperbaric ropivacaine in spinal anesthesia for cesarean section:A metaanalysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Methodology 2025年第2期15卷 154-165页

作者： Rishi Anand Deb sanjay Nag Roushan Patel Prashant sharma Vamsi Krishna Uppalapati Umesh kumar Singh Department of Anaesthesiology Tata Main HospitalJamshedpur 831001JhārkhandIndia

BACKGROUND Intrathecal bupivacaine is the traditional anesthetic drug used in spinal anesthesia for caesarean sections(CSs),but ropivacaine has emerged as a potential *** meta-analysis compares the efficacy and safety of intrathecal hyper-baric bupivacaine vs hyperbaric ropivacaine for cesarean *** To systematically evaluate and compare the efficacy and safety of intrathecal hyperbaric bupivacaine and hyperbaric ropivacaine for spinal anesthesia in *** A thorough search of electronic databases was carried out to find pertinent randomized controlled trials(RCTs)comparing intrathecal hyperbaric ropi-vacaine and hyperbaric bupivacaine during ***,Cochrane database,Google Scholar,and Scopus were searched,and papers from January 2000 to January 2024 were deemed eligible and filtered using predetermined inclusion and exclusion *** were assessed for methodological quality,and data were extracted for time to adequate anesthesia(sensory and motor blockade),duration of sensory and motor block,hemodynamic changes and side effect *** standardized mean difference with 95%CI was used for continuous *** variables were assessed using the Mantel-Haenszel test and the random effect model to compute the odds *** Total 8 RCTs were selected from a pool of 119 search results for *** meta-analysis evaluated pooled effect sizes and assessed heterogeneity among the *** primary objective was to compare key outcomes to identify any significant variances in efficacy and safety profiles between two local *** analysis revealed that the difference in the onset of sensory blockade between the two local anesthetics was statistically insignificant(P=0.1586).However,the onset of motor blockade appeared to be faster with bupivacaine(P=0.03589).Additionally,the regression of sensory and motor blockade occurred earlier in the ropivacaine ***,the duration of the first analgesic

关键词： Ropivacaine Bupivacaine Anesthesia Spinal Cesarean section Meta-analysis

Energy characterization of forced ventilated Photovoltaic-DSF system in hot summer of composite climate

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and Built Environment 2024年第5期5卷 704-718页

作者： Sajan Preet sanjay Mathur Jyotirmay Mathur Manoj kumar sharma Amartya Chowdhury School of Built Environment University of ReadingUnited Kingdom Centre for Energy and Environment Malaviya National Institute of TechnologyJLN MargJaipur302017India

Performance of Photovoltaic-double skin façade(Photovoltaic-DSF)system in summer has been *** to high solar ingress,cooling requirement of a building significantly ***-DSF system provides a shield and controls the heat gain through fenestration in the interior *** the present article,mathematical correlations are developed for energy characterization of forced-ventilated Photovoltaic-DSF system in India’s hot summer zone *** Photovoltaic-DSF system has been installed and monitored for Jaipur’s summer months(May to July).L25 Orthogonal array of design parameters(air cavity thickness,air velocity,and PV panel’s transparency)and their respective levels have been developed using Taguchi design to perform *** on experimental results,multiple linear regression has been used to forecast solar heat gain coefficient,PVs electrical power and daylighting illuminance indoors as function of design *** statistical significance of mathematical relationships is sorted by variance analysis,which is found to be in good accord with field measurements(R2>0.90).The proposed correlations are pragmatic in designing Photovoltaic-DSF systems for hot summer *** Photovoltaic-DSF system with 30%transmittance and air velocity of 5 metres per second in 200 mm air cavity thickness achieved maximum energy performance in hot summers.

关键词： Photovoltaic double-skin façade Taguchi method Forced ventilation Net energy consumption Overall energy performance

A multiplicative Gauss-Newton minimization algorithm:Theory and application to exponential functions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Applied Mathematics(A Journal of Chinese Universities) 2021年第3期36卷 370-389页

作者： Anmol Gupta sanjay kumar Department of Electronics and Communication Engineering Thapar Institute of Engineering and TechnologyPatiala 147004India

Multiplicative calculus(MUC)measures the rate of change of function in terms of ratios,which makes the exponential functions significantly linear in the framework of ***,a generally non-linear optimization problem containing exponential functions becomes a linear problem in *** this as motivation,this paper lays mathematical foundation of well-known classical Gauss-Newton minimization(CGNM)algorithm in the framework of *** paper formulates the mathematical derivation of proposed method named as multiplicative Gauss-Newton minimization(MGNM)method along with its convergence *** proposed method is generalized for n number of variables,and all its theoretical concepts are authenticated by simulation *** case studies have been conducted incorporating multiplicatively-linear and non-linear exponential *** simulation results,it has been observed that proposed MGNM method converges for 12972 points,out of 19600 points considered while optimizing multiplicatively-linear exponential function,whereas CGNM and multiplicative Newton minimization methods converge for only 2111 and 9922 points,***,for a given set of initial value,the proposed MGNM converges only after 2 iterations as compared to 5 iterations taken by other methods.A similar pattern is observed for multiplicatively-non-linear exponential ***,it can be said that proposed method converges faster and for large range of initial values as compared to conventional methods.

关键词： multiplicative calculus multiplicative least square method multiplicative Newton minimization multiplicative Gauss-Newton minimization non-linear exponential functions

Handling higher order time series forecasting approach in intuitionistic fuzzy environment

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Journal of Control and Decision 2020年第4期7卷 327-344页

作者： Abhishekh sanjay kumar Department of Mathematics Institute of ScienceBanaras Hindu UniversityVaranasi 221005India

This study presents a new method of forecasting based on a higher order intuitionistic fuzzy time series(FTS)by transforming FTS data into intuitionistic FTS data via defining their appropriate membership and non-membership *** fuzzification of time series data is intuitionistic fuzzification which is based on the maximum score degree of intuitionistic fuzzy ***,the intuitionistic fuzzy logical relationship groups are defined and introduced into a defuzzification process for a higher order intuitionistic FTS that enhances in the forecasted *** order to assess the performance of the proposed method,the method has been implemented on the historical data of rice *** comparison result shows that the proposed method can achieve a better forecasting accuracy rate in terms of RMSE and MAPE than the existing methods such as Song and Chissom[(1993).Forecasting enrolments with fuzzy time series-Part *** Sets and System,54,1-9],Chen[(1996).Forecasting enrolments based on fuzzy time *** Sets and System,81,311-319],Singh[(2007a).A simple method of forecasting based on fuzzy time *** Mathematics and Computation,186,330-339]and Abhishekh,Gautam,and Singh[(2017).A refined weighted method for forecasting based on type 2 fuzzy time *** Journal of ModellingandSimulation,38,180-188;(2018).A score function based method of forecasting using intuitionistic fuzzy time *** Mathematics and Natural Computation,14(1),91-111].

关键词： Fuzzy time series intuitionistic fuzzy number membership grades accuracy function higher order IFLR

Recombinant vaccines:Current updates and future prospects

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Medicine 2024年第8期17卷 338-350页

作者： Vivek kumar Anuj Verma Riddhi Singh Priyanshi Garg Santosh kumar sharma Himanshu Narayan Singh Santosh kumar Mishra sanjay kumar Department of Allied Medical Sciences School of Allied Medical SciencesLovely Professional UniversityPhagwaraPunjabIndia Bioengineering Division of Department of Bioscience and Biomedical EngineeringIndian Institute of Technology BhilaiChhattisgarhIndia Department of Biotechnology IMS Engineering CollegeGhaziabadU.P.India Department of Chemistry and Biochemistry University of WindsorOntario N9B3P4Canada Biological and Biocomputational Laboratory Department of Life SciencesSharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India Department of System Biology Columbia University Irving Medical CenterNew YorkNY 10032USA Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India

Recombinant technology-based vaccines have emerged as a highly effective way to prevent a wide range of *** technology improved vaccine manufacturing,rendering it more efficient and *** vaccines have multiple advantages compared to conventional *** pandemic has heightened awareness of the advantages of these vaccine technologies;trust and acceptance of these vaccines are steadily growing *** work offers an overview of the prospects and advantages associated with recombinant ***,it discusses some of the challenges likely to arise in the *** ability to target diverse pathogen classes underscores their contributions to preventing previously untreatable diseases(especially vector-borne and emerging diseases)and hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these ***,their compatibility with emerging vaccination platforms of the future like virus-like particles and CRISPR/Cas9 for the production of next-generation vaccines may offer many *** review also reviewed the hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these vaccines against vector-borne diseases,emerging diseases,and untreatable diseases with high mortality rates like AIDS as well as cancer.

关键词： Malaria Dengue Emerging diseases Immunoinformatics Virus-like particles CRISPR-Cas9