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Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

CAAI Transactions on Intelligence Technology 2024年第4期9卷 805-820页

作者： Amol Dattatray Dhaygude gaurav kumar ameta Ihtiram Raza Khan Pavitar Parkash Singh Renato RMaaliw III Natrayan Lakshmaiya Mohammad Shabaz Muhammad Attique Khan Hany SHussein Hammam Alshazly Department of Data Science University of WashingtonSeattleWashingtonUSA Department of Computer Science&Engineering Parul Institute of TechnologyParul UniversityVadodaraGujaratIndia Department of Computer Science Jamia HamdardDelhiIndia Department of Management Lovely Professional UniversityPhagwaraIndia 5 College of Engineering Southern Luzon State UniversityLucbanQuezonPhilippines Department of Mechanical Engineering Saveetha School of EngineeringSIMATSChennaiTamil NaduIndia Model Institute of Engineering and Technology JammuJ&KIndia Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Electrical Engineering Department College of EngineeringKing Khalid UniversityAbhaSaudi Arabia Electrical Engineering Department Aswan UniversityAswanEgypt Faculty of Computers and Information South Valley UniversityQenaEgypt

Deep learning has recently become a viable approach for classifying Alzheimer's disease(AD)in medical ***,existing models struggle to efficiently extract features from medical images and may squander additional information resources for illness *** address these issues,a deep three‐dimensional convolutional neural network incorporating multi‐task learning and attention mechanisms is *** upgraded primary C3D network is utilised to create rougher low‐level feature *** introduces a new convolution block that focuses on the structural aspects of the magnetic resonance imaging image and another block that extracts attention weights unique to certain pixel positions in the feature map and multiplies them with the feature map ***,several fully connected layers are used to achieve multi‐task learning,generating three outputs,including the primary classification *** other two outputs employ backpropagation during training to improve the primary classification *** findings show that the authors’proposed method outperforms current approaches for classifying AD,achieving enhanced classification accuracy and other in-dicators on the Alzheimer's disease Neuroimaging Initiative *** authors demonstrate promise for future disease classification studies.

关键词： classification deep learning

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A Bayesian multi-model inference methodology for imprecise momentindependent global sensitivity analysis of rock structures

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 840-859页

作者： Akshay kumar gaurav Tiwari Department of Civil Engineering Indian Institute of Technology(IIT)KanpurKanpur208016India

Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(*** of distribution type and its parameters)of input rock properties emanating due to the small size of datasets while mapping the relative importance of properties to the model *** paper proposes an augmented Bayesian multi-model inference(BMMI)coupled with GSA methodology(BMMI-GSA)to address this issue by estimating the imprecision in the momentindependent sensitivity indices of rock structures arising from the small size of input *** methodology employs BMMI to quantify the epistemic uncertainties associated with model type and parameters of input *** estimated uncertainties are propagated in estimating imprecision in moment-independent Borgonovo’s indices by employing a reweighting approach on candidate probabilistic *** proposed methodology is showcased for a rock slope prone to stress-controlled failure in the Himalayan region of *** proposed methodology was superior to the conventional GSA(neglects all epistemic uncertainties)and Bayesian coupled GSA(B-GSA)(neglects model uncertainty)due to its capability to incorporate the uncertainties in both model type and parameters of *** Borgonovo’s indices estimated via proposed methodology provide the confidence intervals of the sensitivity indices instead of their fixed-point estimates,which makes the user more informed in the data collection *** performed with the varying sample sizes suggested that the uncertainties in sensitivity indices reduce significantly with the increasing sample *** accurate importance ranking of properties was only possible via samples of large ***,the impact of the prior knowledge in terms of prior ranges and distributions was significant;hence,any related assumption should be made carefully.

关键词： Bayesian inference Multi-model inference Statistical uncertainty Global sensitivity analysis(GSA) Borgonovo’s indices Limited data

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Identification of earthquake induced structural damage based on synchroextracting transform

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Earthquake Engineering and Engineering Vibration 2024年第2期23卷 475-487页

作者： Roshan kumar gaurav kumar Wei Zhao Arvind R Yadav Gang Yu Jayendra kumar Evans Amponsah Department of Electronic and Information Technology Miami College of Henan UniversityHenan 475004China Alliance University Alliance College of Engineering and DesignBanglore 562106India Department of Electronics and Comm Parul UniversityVadodra 391760India School of Electrical Engineering University of JinanJinan 250022China Department of Electronics and Comm NIT JamshedpurJamshedpur 831014India Department of Civil engineering Kwame Nkrumah University of Science and TechnologyKumasi 10959Ghana

Several popular time-frequency techniques,including the Wigner-Ville distribution,smoothed pseudo-Wigner-Ville distribution,wavelet transform,synchrosqueezing transform,Hilbert-Huang transform,and Gabor-Wigner transform,are investigated to determine how well they can identify damage to *** this work,a synchroextracting transform(SET)based on the short-time Fourier transform is proposed for estimating post-earthquake structural *** performance of SET for artificially generated signals and actual earthquake signals is examined with existing *** other tested techniques,SET improves frequency resolution to a great extent by lowering the influence of smearing along the time-frequency ***,interpretation and readability with the proposed method are improved,and small changes in the time-varying frequency characteristics of the damaged buildings are easily detected through the SET method.

关键词： cross-term damage detection earthquake signal synchroextracting transform time-frequency

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A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices

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Computers, Materials & Continua 2024年第1期78卷 31-63页

作者： Sunil kumar Dilip kumar Ramraj Dangi gaurav Choudhary Nicola Dragoni Ilsun You Department of Computer Science and Engineering National Institute of Technology JamshedpurJamshedpurIndia School of Computing Science and Engineering VIT University BhopalBhopal466114India Center for Industrial Software The Maersk Mc-Kinney Moller InstituteUniversity of Southern DenmarkSonderborgOdenseDenmark Department of Applied Mathematics and Computer Science Technical University of DenmarkLyngby2800Denmark Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoulSouth Korea

The widespread and growing interest in the Internet of Things(IoT)may be attributed to its usefulness in many different *** settings are probed for data,which is then transferred via linked *** are several hurdles to overcome when putting IoT into practice,from managing server infrastructure to coordinating the use of tiny *** it comes to deploying IoT,everyone agrees that security is the biggest *** is due to the fact that a large number of IoT devices exist in the physicalworld and thatmany of themhave constrained resources such as electricity,memory,processing power,and square *** research intends to analyse resource-constrained IoT devices,including RFID tags,sensors,and smart cards,and the issues involved with protecting them in such restricted *** lightweight cryptography,the information sent between these gadgets may be *** order to provide a holistic picture,this research evaluates and contrasts well-known algorithms based on their implementation cost,hardware/software efficiency,and attack resistance *** also emphasised how essential lightweight encryption is for striking a good cost-to-performance-to-security ratio.

关键词： IoT a sensor device lightweight cryptography block cipher smart card security and privacy

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Recent progress in carbonaceous materials based Z-scheme and Sscheme heterojunctions for photocatalytic clean energy generation

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新型炭材料(中英文) 2024年

作者： Sahil Rana Amit kumar Wang Tong-tong gaurav Sharma Pooja Dhiman Alberto García-Penas Interdisciplinary and Innovate Research Xi'an University of Architecture and Technology Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química (IAAB) Universidad Carlos III de Madrid International Research Centre of Nanotechnology for Himalayan Sustainability (IRCNHS) Shoolini University

Carbonaceous materials including carbon nanotubes/nanofibers, graphene, graphene oxide, reduced graphene oxide,graphyne, graphdiyne, carbon quantum dots and fullerenes have gained considerable attention in the recent years for their unique properties such as high conductivity, excellent stability and biocompatibility. The integration of these carbonaceous materials into Zscheme and S-scheme heterojunctions has emerged as a transformative strategy to enhance the photocatalytic efficiency for energy conversion applications. This review delves into the fundamental principles of clean energy generation such as photocatalytic H2generation and CO2reduction, elucidating their respective mechanisms and advantages. Furthermore, various types of carbonaceous materials, their synthesis and construction of Z-scheme and S-scheme heterojunctions are discussed emphasizing their role in promoting charge separation, reducing recombination losses and extending the spectral response range. With the focus on solar fuel production,the recent advancements in carbonaceous based Z-scheme and S-scheme heterojunctions are discussed and summarized for photocatalytic H2generation and CO2reduction. Lastly, the current bottlenecks and challenges in the field of carbonaceous based photocatalysts are discussed with the valuable insights for future development in this particular field.

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石墨炔:一种用于合成水污染物有效吸附剂的新型炭材料

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新型炭材料（中英文） 2024年第2期39卷 173-200页

作者： gaurav Sharma Yaksha Verma Amit kumar Pooja Dhiman WANG Tong-tong Florian JStadler 深圳大学材料科学与工程学院深圳市高分子科学与技术重点实验室广东省功能材料界面工程研究中心南山区生物高分子与安全性评价重点实验室广东深圳518055 International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversityHimachal Pradesh 173229India 西安建筑科技大学跨学科与创新研究院陕西西安710055

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。... 详细信息

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。GDY的分子中有C≡C键,且具有均匀分布的三角形孔,可提供更多的反应位点和多种反应路径。因而,GDY具有吸附性,其作为吸附剂时在去除污染水中的油、有机污染物、染料和金属方面表现优异。在已发表的文献中,GDY被用作吸附剂的报道十分有限。本文综述了GDY的合成方法、GDY作为吸附剂的应用以及GDY基吸附剂的表征,并展望了GDY在污染物修复中的应用前景。

关键词：石墨炔合成吸附污染物合理机制

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碳基材料的Z型和S型异质结光催化清洁能源综述

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新型炭材料（中英文） 2024年第3期39卷 458-482页

作者： Sahil Rana Amit kumar WANG Tong-tong gaurav Sharma Pooja Dhiman Alberto García-Penas International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversitySolan173229India 西安建筑科技大学交叉创新研究院西安710055 Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química(IAAB) Universidad Carlos Ⅲ de MadridLegan'es28911Spain

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催... 详细信息

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催化效率的一种有效策略。本文综述了光催化制氢和CO_(2)还原等清洁能源的基本原理,阐述了它们各自的机理和优势。此外,还讨论了不同类型的炭材料以及其中Z型和S型异质结的合成和构建,强调了它们在促进电荷分离、减少光生载流子复合损失和扩大光谱响应范围方面的作用。以太阳能燃料生产为重点,讨论和总结了碳基Z型和S型异质结在光催化制氢和还原CO_(2)方面的最新进展。最后,讨论了目前碳基光催化剂领域的瓶颈和挑战,并对该领域的未来发展提出了有价值的见解。

关键词：炭材料异质结 Z型 S型光催化氢能材料

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Diuretic Activity of Ethanol Extract of Piper attenuatum Leaves Might Be Due to the Inhibition of Carbonic Anhydrase Enzyme:An in vivo and in silico Investigation

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Clinical Complementary Medicine and Pharmacology 2024年第1期4卷 62-68页

作者： Shikha Sharma gaurav kumar Nitin kumar Neeraj K.Sethiya Dheeraj Bisht Department of Pharmaceutical Sciences Lords UniversityAlwarRajasthan 301028India Navsahyadri Institute of Pharmacy NasrapurPuneMaharashtra 412213India Faculty of Pharmacy DIT UniversityMussoorie Diversion RoadDehradunUttarakhand 248009India Devsthali Vidyapeeth College of Pharmacy(Veer Madho Singh Bhandari Uttarakhand Technical University Dehradun)LalpurRudrapurUttarakhand 263148India

Background:Ayurvedic system of medicine is well established for prevention and treatment of renal *** are vast number of medicinal plants mentioned in Ayurvedic system of medicine,including Piper attenuatum Buch.-*** Miq.,which has been known to exhibit diuretic ***:To investigate possible mechanism and diuretic activity of ethanol extract of *** ***:Present study reports an in vivo diuretic activity of ethanol extracts of *** ***-four Sprague-Dawley male rats were deprived from food and water for 20 h,followed by being divided into four groups to receive normal saline,Furosemide,and two doses of the ethanol extract,***,the ethanol extract were subjected for prelimnary phytochemical screening test,and analytical investigation was performed via high-performance thin-layer chromatography(HPTLC),followed by effectiveness exploration of putative bioactive compounds from *** against human carbonic anhydrase(hCA)enzyme using molecular docking ***:During phytochemicals screening,several groups of compounds such as amides,terpenoids,proteins,flavonoids,and glycosides have been ***,HPTLC reveals presence of carbohydrates,proteins,amino acids,steroids,alkaloids,flavonoids,tannins,glycosides,and *** diuretic action was revealed for both 200 mg/kg bw and 400 mg/kg bw of ethanol extract of *** ***,molecular docking analysis demonstrated greater binding affinity of compounds such as Cepharadione A,Nor-cepharadione B,Galbelgin,Crotepoxide,and Pipoxide chlorohydrin out of total 23 studied compounds against hCA isoforms(a key biomarker for diuretic)and score is comparable with standard drug ***:It was concluded from the present studies that ethanol extract of *** leaves exhibits signifi-cant diuretic *** activity may be correlated due to the presence of Cepharadione A,Norcepharadion

关键词： Piper attenuatum Diuretic activity Phytochemicals In silico and molecular docking

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Reliability assessment of deep excavations in spatially random cohesion weakening friction strengthening massive rocks:Application to nuclear repositories

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Underground Space 2023年第6期13卷 48-73页

作者： Akshay kumar gaurav Tiwari Department of Civil Engineering Indian Institute of Technology KanpurKanpurUttar Pradesh 208016India

An augmented methodology is developed to estimate the reliability of deep excavations along spatially variable massive rock masses using the cohesion weakening friction strengthening(CWFS)*** parameters of the CWFS model were initially identified using Sobol’s global sensitivity analysis based on their influence on the displacements and excavation damage zone around *** probability of failure was estimated by performing Mont–Carlo Simulations on random finite difference models of excavations generated via MATLAB-FLAC2D coupling,considering the spatial variation of these sensitive *** variation was modeled by generating anisotropic random fields of sensitive CWFS parameters via the recently developed Fourier series method and updated correlations suggested by Walton(2019).The proposed methodology was demonstrated for a proposed deep nuclear waste repository to be located in *** from the developed methodology were systematically compared with those of traditional reliability(ignoring spatial variation)and deterministic methods(ignoring uncertainty).Although the developed methodology was computationally complex,it was judged to be the most realistic due to the realistic consideration of heterogeneous distributions of rock *** methodologies underestimate/overestimate the excavation performance due to negligence of uncertainty and spatial ***,a parametric analysis was performed using developed methodology by varying the initial friction angle,scale of fluctuations(SOFs)and dilation *** effect of initial friction angle was observed to be more pronounced on the probability of failures as compared to SOFs and dilation *** observations were made related to the excavation damage zone(EDZ)development quantified using yield area ratio.

关键词： Deep excavations Brittle failures CWFS model Sobol’s sensitivity Moving least square response surface Fourier series random field

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Jackknife based generalized resampling reliability approach for rock slopes and tunnels stability analyses with limited data:Theory and applications

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Journal of Rock Mechanics and Geotechnical Engineering 2022年第3期14卷 714-730页

作者： Akshay kumar gaurav Tiwari Department of Civil Engineering IIT KanpurIndia

An efficient resampling reliability approach was developed to consider the effect of statistical uncertainties in input properties arising due to insufficient data when estimating the reliability of rock slopes and *** approach considers the effect of uncertainties in both distribution parameters(mean and standard deviation)and types of input ***,the approach was generalized to make it capable of analyzing complex problems with explicit/implicit performance functions(PFs),single/multiple PFs,and correlated/non-correlated input *** couples resampling statistical tool,***,with advanced reliability tools like Latin hypercube sampling(LHS),Sobol’s global sensitivity,moving least square-response surface method(MLS-RSM),and Nataf’s *** developed approach was demonstrated for four cases encompassing different *** were compared with a recently developed bootstrap-based resampling reliability *** results show that the approach is accurate and significantly efficient compared with the bootstrap-based *** proposed approach reflects the effect of statistical uncertainties of input properties by estimating distributions/confidence intervals of reliability index/probability of failure(s)instead of their fixed-point ***,sufficiently accurate results were obtained by considering uncertainties in distribution parameters only and ignoring those in distribution types.

关键词： Statistical uncertainty Resampling reliability Moving least square response surface(MLSRSM) Sobol’s global sensitivity Correlation coefficient

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