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Comprehensive Analysis of Gender Classification Accuracy across Varied Geographic Regions through the Application of Deep Learning Algorithms to Speech Signals

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Computer Systems Science & Engineering 2024年第3期48卷 609-625页

作者： Abhishek singhal Devendra kumar Sharma Department of Electronics and Communication Engineering Faculty of Engineering and TechnologySRM Institute of Science and TechnologyDelhi–NCR CampusGhaziabad201204India

This article presents an exhaustive comparative investigation into the accuracy of gender identification across diverse geographical regions,employing a deep learning classification algorithm for speech signal *** this study,speech samples are categorized for both training and testing purposes based on their geographical *** 1 comprises speech samples from speakers outside of India,whereas Category 2 comprises live-recorded speech samples from Indian *** speech samples are likewise classified into four distinct sets,taking into consideration both geographical origin and the language spoken by the ***,the results indicate a noticeable difference in gender identification accuracy among speakers from different geographical *** speakers,utilizing 52 Hindi and 26 English phonemes in their speech,demonstrate a notably higher gender identification accuracy of 85.75%compared to those speakers who predominantly use 26 English phonemes in their conversations when the system is trained using speech samples from Indian *** gender identification accuracy of the proposed model reaches 83.20%when the system is trained using speech samples from speakers outside of *** the analysis of speech signals,Mel Frequency Cepstral Coefficients(MFCCs)serve as relevant features for the speech *** deep learning classification algorithm utilized in this research is based on a Bidirectional Long Short-Term Memory(BiLSTM)architecture within a Recurrent Neural Network(RNN)model.

关键词： Deep learning recurrent neural network voice signal mel frequency cepstral coefficients geographical area gender

Incidence of exclusive extrapelvic skeletal metastasis in prostate carcinoma on bone scintigraphy

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World Journal of Radiology 2024年第7期16卷 265-273页

作者： Parneet Singh Kanhaiyalal Agrawal Ashique Rahman Tejasvini singhal Girish kumar Parida Gopinath Gnanasegaran Department of Nuclear Medicine All India Institute of Medical SciencesBhubaneshwar 751019OdishaIndia Department of Nuclear Medicine Royal Free HospitalLondon NW32QGUnited Kingdom

BACKGROUND Bone is one of the common sites of metastasis from prostate *** scintigraphy(BS)is one of the most sensitive imaging modalities currently used for bone metastatic *** metastasis in prostate carcinoma commonly involves pelvic bones but rarely involves extrapelvic-extraspinal *** To retrospectively analyze the BS data to determine the pattern of skeletal metastases in the prostate *** This retrospective observational study involves patients with biopsy-proven prostate carcinoma referred for BS for staging *** with abnormal BS were evaluated for the pattern of skeletal involvement and data were pre-sented in descriptive format in the form of *** A total of 150 patients with biopsy-proven prostate cancer who were referred for staging were included in the *** of 150 patients(8.67%)had no abnormal uptake on planar images,ruling out metastatic ***-four patients(16%)had heterogeneous uptake in the spine with distribution charac-teristic of degenerative disease and no scan pattern of metastatic *** patients(20%)had multifocal uptake involving both pelvic and extra pelvic bones on planar images typical for skeletal metastasis and were considered ***-three out of 150 patients(55.3%)had increased tracer uptake,which was indeterminate,thus,single photon emission computed tomography-computed tomography(SPECT-CT)was acquired,which showed 51 with metastatic disease,31 benign lesions,and one indeterminate *** of 150 patients had exclusive pelvic bone uptake,which was found to be metastatic in 4/7 patients in *** six out of 150 patients showed exclusive extrapelvic tracer uptake,of which only 3 had vertebral metastatic *** of the patients with increased uptake exclusively in the extrapelvic-extraspinal location was *** The incidence of exclusive extrapelvic skeletal metastatic disease in prostate carcinom

关键词： Pelvic Prostate cancer Bone scan Single photon emission computed tomography-computed tomography Skeletal metastasis

Explainable Artificial Intelligence(XAI)Model for Cancer Image Classification

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 401-441页

作者： Amit singhal Krishna Kant Agrawal Angeles Quezada Adrian Rodriguez Aguiñaga Samantha Jiménez Satya Prakash Yadav Department of Computer Science&Engineering Raj Kumar Goel Institute of TechnologyGhaziabad201017India Department of School of Computing Science and Engineering Galgotias UniversityGreater Noida203201India Tecnológico Nacional de México Campus Tijuana Baja California22414México Universidad Autónoma de Baja California TijuanaBaja California22414México Department of Computer Science and Engineering G.LBajaj Institute of Technology and Management(GLBITM)Affiliated to Dr.A.P.J.Abdul Kalam Technical UniversityLucknow201306India School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India

The use of Explainable Artificial Intelligence(XAI)models becomes increasingly important for making decisions in smart healthcare *** is to make sure that decisions are based on trustworthy algorithms and that healthcare workers understand the decisions made by these *** models can potentially enhance interpretability and explainability in decision-making processes that rely on artificial ***,the intricate nature of the healthcare field necessitates the utilization of sophisticated models to classify cancer *** research presents an advanced investigation of XAI models to classify cancer *** describes the different levels of explainability and interpretability associated with XAI models and the challenges faced in deploying them in healthcare *** addition,this study proposes a novel framework for cancer image classification that incorporates XAI models with deep learning and advanced medical imaging *** proposed model integrates several techniques,including end-to-end explainable evaluation,rule-based explanation,and useradaptive *** proposed XAI reaches 97.72%accuracy,90.72%precision,93.72%recall,96.72%F1-score,9.55%FDR,9.66%FOR,and 91.18%*** will discuss the potential applications of the proposed XAI models in the smart healthcare *** will help ensure trust and accountability in AI-based decisions,which is essential for achieving a safe and reliable smart healthcare environment.

关键词： Explainable artificial intelligence artificial intelligence XAI healthcare cancer image classification

Next-Generation Intelligent MXene-Based Electrochemical Aptasensors for Point-of-Care Cancer Diagnostics

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Nano-Micro Letters 2022年第6期14卷 248-281页

作者： Arpana Parihar Ayushi singhal Neeraj kumar Raju Khan MohdAkram Khan Avanish KSrivastava Industrial Waste Utilization Nano and BiomaterialsCSIR-Advanced Materials and Processes Research Institute(AMPRI)Hoshangabad RoadBhopal 462026MPIndia Academy of Scientific and Innovative Research(AcSIR) Ghaziabad 201002India

Delayed diagnosis of cancer using conventional diagnostic modalities needs to be addressed to reduce the mortality rate of ***,2 D nanomaterial-enabled advanced biosensors have shown potential towards the early diagnosis of *** high surface area,surface functional groups availability,and excellent electrical conductivity of MXene make it the 2 D material of choice for the fabrication of advanced electrochemical biosensors for disease ***-enabled electrochemical aptasensors have shown great promise for the detection of cancer biomarkers with a femtomolar limit of ***,the stability,ease of synthesis,good reproducibility,and high specificity offered by MXene-enabled aptasensors hold promise to be the mainstream diagnostic *** this review,the design and fabrication of MXene-based electrochemical aptasensors for the detection of cancer biomarkers have been ***,various synthetic processes and useful properties of MXenes which can be tuned and optimized easily and efficiently to fabricate sensitive biosensors have been ***,futuristic sensing applications along with challenges will be deliberated herein.

关键词： MXene Electrochemical devices POCT Aptamer Cancer diagnostics

Secure Watermarking Scheme for Color DICOM Images in Telemedicine Applications

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Computers, Materials & Continua 2022年第2期70卷 2525-2542页

作者： Kamred Udham Singh Hatem Salem Abu-Hamatta Abhishek kumar Achintya singhal Mamoon Rashid A.K.Bashir Department of Computer Science and Information Engineering National Cheng Kung UniversityTainanTaiwan Department of Applied Sciences Aqaba University CollegeAl Balqa Applied UniversityAqabaJordan School of Computer Science&IT JAIN(to be Deemed University)BangaloreIndia Department of Computer Science Banaras Hindu UniversityVaranasiIndia Department of Computer Engineering Faculty of Science and TechnologyVishwakarma UniversityPune411048India Department of Computing and Mathematics ManchesterMetropolitan UniversityUK

Teleradiology plays a vital role in the medical field,which permits transmitting medical and imaging data over a communication *** ensures data reliability and provides convenient communication for clinical interpretation and diagnostic *** transmission of this medical data over a network raises the problems of legal,ethical issues,privacy,and copyright *** copyright protection of medical images is a significant issue in the medical *** schemes are used to address these issues.A gray-level or binary image is used as a watermark frequently in color image watermarking *** this paper,the authors propose a novel non-blind medical image watermarking scheme based on 2-D LiftingWavelet Transform(LWT),Multiresolution Singular Value Decomposition(MSVD),and LU factorization to improve the robustness and authenticity of medical *** this scheme,multiple color watermarks are embedded into the colored DICOM(Digital Imaging and Communications inMedicine)images obtained from Color Doppler images(DICOM format),and the average results achieved by our proposed scheme is 46.84 db for Peak Signal-to-Noise Ratio(PSNR),37.46 db for Signal-to-Noise Ratio(SNR),0.99 for Quality of Image and 0.998 for Normalized Correlation for various image processing *** results make our watermarking technique an ideal candidate for medical image watermarking.

关键词： Digital imaging medicine multiresolution medical image watermarking

Regression analysis and features of negative activation energy for MHD nanofluid flow model:A comparative study

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Propulsion and Power Research 2023年第2期12卷 273-283页

作者： B.kumara Prachi Abhinav singhal R.Nandkeolyar Pulkit kumar Ali J.Chamkha School of Mathematics Thapar Institute of Engineering and TechnologyPatiala 147004PunjabIndia Department of Applied Sciences and Humanities RITRoorkee 247667India School of Sciences Christ(Deemed to be University)Delhi NCR 201003India Department of Mathematics National Institute of TechnologyJamshedpur 831014India Department of Applied Mechanics Indian Institute of TechnologyDelhi 110016India Faculty of Engineering Kuwait College of Science and TechnologyDoha DistrictKuwait

This article elucidates the impact of activation energy on magnetohydrodynamic(MHD)stagnation point nanofluid flow over a slippery surface in a porous regime with thermophoretic and Brownian *** activation energy is scarce in practice,but the impact of negative activation energy could not be neglected as it is noticed in chemical *** rate of some Arrhenius-compliant reactions is retarded by increasing the temperature and is therefore associated with negative activation energies,such as exothermic binding of urea or *** some processes,the temperature dependence of the pressure-induced unfolding and the urea-induced unfolding of proteins at ambient pressure give negative activation *** present mathematical model is solved with successive linearization method(a spectral technique).A comparison of results is made for negative and positive values of activation *** from it,the quadratic multiple regression model is discussed briefly and explained with bar *** is observed that with rise in unsteadiness parameter from 0 to 1(taking positive activation energy),skin friction and Sherwood number are increased by 9.36%and 19%respectively,and Nusselt number is decreased by 26%.However,for negative activation energy,9.36%and 112%enhancement is observed in skin friction and Sherwood number,respectively.

关键词： Negative activation energy Regression analysis Successive linearization method Porous medium

Emerging role of computed tomography coronary angiography in evaluation of children with Kawasaki disease

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World Journal of Clinical Pediatrics 2023年第3期12卷 97-106页

作者： Manphool singhal Rakesh kumar Pilania Pankaj Gupta Nameirakpam Johnson Surjit Singh Departments of Radiodiagnosis and Imaging Postgraduate Institute of Medical Education and ResearchChandigarh 160012ChandigarhIndia Pediatric Allergy Immunology Unit Department of PaediatricsAdvanced Pediatrics CenterPostgraduate Institute of Medical Education and ResearchChandigarh 160012ChandigarhIndia

Coronary artery abnormalities are the most important complications in children with Kawasaki disease(KD).Two-dimensional transthoracic echocardiography currently is the standard of care for initial evaluation and follow-up of children with ***,it has inherent limitations with regard to evaluation of mid and distal coronary arteries and,left circumflex artery and the poor acoustic window in older children often makes evaluation difficult in this age *** angiography(CA)is invasive,has high radiation exposure and fails to demonstrate abnormalities beyond *** limitations of echocardiography and CA necessitate the use of an imaging modality that overcomes these *** recent years advances in computed tomography technology have enabled explicit evaluation of coronary arteries along their entire course including major branches with optimal and acceptable radiation exposure in *** tomography coronary angiography(CTCA)can be performed during acute as well as convalescent phases of *** is likely that CTCA may soon be considered the reference standard imaging modality for evaluation of coronary arteries in children with KD.

关键词： Coronary artery abnormalities Computed tomography coronary angiography 2D-echocardiography Kawasaki disease Imaging modality Acquired heart disease

Syncytes during male meiosis resulting in 2n pollen grain formationin Lindelofia longiflora ***

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Journal of Systematics and Evolution 2011年第5期49卷 406-410页

作者： Vijay kumar singhal Pawan kumar RANA Puneet kumar Department of Botany Punjabi University

Lindelofia longiflora(Royle ex Benth.) ***(Cl.) Brand(Family:Boraginaceae) is investigated cytologically(n = 12) for the first time from the cold deserts of Pangi Valley,Chamba District(Himachal Pradesh) in *** report the formation of syncytes and 2n pollen grains in the *** meiosis,the majority of the pollen mother cells(PMCs) exhibited 12 bivalents,equal segregation of chromosomes during anaphases,regular tetrads,and normal-sized pollen grain ***,two proximate PMCs fused during the early stages of prophase-I and resulted in the formation of *** frequency of syncytes in the accession is rather low,at 25 out of 1866(1.33%).Such syncyte PMCs are detectable during meiosis due to their larger size compared to typical *** syncytes or polyploid cells showed normal 24 bivalents and depicted perfectly regular meiotic *** the products of such PMCs yield 2n or larger sized pollen grains that are almost double the size of typical normal or n pollen *** origin of syncytes as a consequence of the fusion of meiocytes during the early stages of meiosis-I could be attributed to low temperature stress conditions prevailing in the Pangi Valley,where temperature during May and June dip to below freezing,the time the plants enters the reproductive/flowering bud *** is possible that such apparently fertile 2n pollen grains originating from syncytes might play a role in the origin of intraspecific polyploids in the species.

关键词： bivalents cold deserts low temperature stress Pangi Valley PMCs pollen grains.

Seismic response of precast reinforced concrete wall subjected to cyclic in-plane and constant out-of-plane loading

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Frontiers of Structural and Civil Engineering 2021年第5期15卷 1128-1143页

作者： Shubham singhal Ajay CHOURASIA Soraj kumar PANIGRAHI Yogesh KAJALE Council of Scientific and Industrial Research Central Building Research InstituteRoorkee 247667India Academy of Scientific and Innovative Research(AcSIR) Ghaziabad 201002India BG Shirke Construction Technology Pvt.Ltd. Pune 411036India

This paper provides insight into the seismic behavior of a full-scale precast reinforced concrete wall under in-plane cyclic loading combined with out-of-plane loading replicated by sand backfill to simulate the actual condition of basement *** tested wall exhibited flexural cracks,owing to the high aspect ratio and considerable out-of-plane movement due to lateral pressure from the *** wall performed satisfactorily by exhibiting competent seismic parameters and deformation characteristics governed by its ductile response in the nonlinear phase during the test with smaller residual *** analysis was conducted to validate experimental findings,which complied with each *** numerical model was used to conduct parametric studies to study the effect of backfill density and aspect ratio on seismic response of the proposed precast wall *** in-plane capacity of walls reduced,while deformation characteristics were unaffected by the increase in backfill *** increase in aspect ratio leads to a reduction in in-plane capacity and an increase in *** between the ratio of in-plane yield capacity and design shear load of walls are proposed for the backfill density,which may be adopted to determine the in-plane yield capacity of the basement walls based on their design shear.

关键词： precast wall basement wall out-of-plane response quasi-static test sand backfill seismic parameters