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Prediction of Shear Bond Strength of Asphalt Concrete Pavement Using Machine Learning Models and Grid Search Optimization Technique

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-Anh Thi Bui Dam Duc Nguyen Hiep Van Le Indra prakash Binh Thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine Learning(ML)models,including K-Nearest Neighbors(KNN),Extra Trees(ET),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

Restless head syndrome:A retrospective study

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World Journal of Methodology 2025年第1期15卷 51-59页

作者： Sanjay prakash Varoon Vadodaria Niraj Chawda Chetsi S Shah Anurag prakash Department of Neurology Smt.B.K.Shah Medical Institute and Research CentreSumandeep VidyapeethVadodara 391760GujarātIndia Department of Medicine Smt.B.K.Shah Medical Institute and Research CentreSumandeep VidyapeethVadodara 391760GujarātIndia Department of Medicine Parul Institute of Medical Sciences and Research CentreParul University WaghodiaVadodara 391760India

BACKGROUND Restless legs syndrome(RLS)is characterized by an urge to move with an unpleasant sensation in the lower *** typically affects the ***,it can also affect several other body regions,such as the arms,abdomen,face,neck,head,and genital *** are only a few reports of the RLS variant affecting the *** To assess the epidemiological,clinical,and other aspects of the RLS variant affecting the *** We conducted a retrospective study of 17 adult patients(>18 years)who met the RLS criteria and simultaneously experienced RLS-like symptoms in the *** The median age at which symptoms appeared was 41.6 *** and females were equally affected(1.1:1).All 17 patients had uncomfortable sensations in the lower *** or disturbed sleep was the most common comorbidity(n=16,88.2%).However,headache was the most common presenting or primary symptom(n=10,70.5%).Dizziness or an abnormal sensation in the head was the second most common presenting symptom(5 patients,29.4%).Other presenting features were leg pain,backache,and generalized body *** patients responded favorably to dopaminergic *** If RLS-related unpleasant sensations and pain are felt in the head,they may be misinterpreted as headache,dizziness,or psychosomatic *** and headaches in a subset of patients may be two phenotypic manifestations of the same disorder.

关键词： Restless legs syndrome Restless head syndrome Dopamine Headache Migraine Tension-type headache

Structural, Optical, and Ferroelectric Behaviors of Cu_(1-x)Li_xO(0≤x≤0.09) Nanostructures

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Acta Metallurgica Sinica(English Letters) 2014年第2期27卷 306-312页

作者： prakash chand Anurag Gaur Ashavani Kumar Department of Physics National Institute of Technology Kurukshetra

We report structural, optical, and ferroelectric behaviors of lithium-doped copper oxide （CU1-xLixO with x = 0.0, 0.05, 0.07, and 0.09） nanostructures synthesized by hydrothermal method. The XRD pattern indicates the pure phase formation of CuO without any impurity, and the crystallite size is found to be increases for x = 0-0.07 and decreases for x = 0.09. FESEM analysis shows that the average size of Cul xLixO nanostructures increases with the increasing the Li-doping concentrations up to 7% and then decreases for 9% Li doping concentration. Moreover, Raman and photoluminescence spectrum also confirm the phase formation of CuO. A significant reduction in optical band gap is observed up to x = 0.07, and then band gap increases for x ~ 0.09 due to segregation of the impurities on the surface or grain boundaries, which may suppress the grain growth and results the enhancement in optical band gap. Moreover, a weak ferroelectricity is observed in CuO nanostructures for pure and 9% Li doping through polarization versus electric field （P- E）.

关键词： CuO nanostructure Optical properties PL and Raman spectroscopy

Optimal generation mix for frequency response adequacy in future power system

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Energy and Built Environment 2021年第3期2卷 243-250页

作者： Vivek prakash Kailash chand Sharma Rohit Bhakar School of Automation Banasthali VidyapithRajasthanIndia Department of Electrical Engineering NIT JalandharIndia Department of Electrical Engineering Malaviya National Institute of TechnologyJaipurIndia

Strict enforcement of government policies to integrate high generation share from renewable energy sources(RES)like wind and PV would create inevitable operational challenges for the utilities to deliver Frequency Response(FR)*** RES generation characteristics would worsen the situation for SO,to detain initial frequency deviation following the largest generation *** necessitates investigation of optimal generator combination for securing PFR adequacy with simultaneous characterization of *** this regard,this paper proposes a novel Modified Interval(MI)based optimal generation mix formulation for operation cost minimization and FR *** uncertainty is characterised by forecasted upper and lower bound,while hourly ramp needs are based on the net load *** model is assessed on one area IEEE reliability test *** of change of frequency(ROCOF)and frequency deviation are considered as network security limits to obtain optimal generation *** obtained provide,overall cost performance,PFR and optimal generation mix,without violating system security *** model would certainly assist SO,to enhance system’s inertia and PFR adequacy at short-term system operations and could be extended for long-term planning framework.

关键词： Frequency response Generation mix Inertial response Net load Primary frequency response System security Unit commitment

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models Duc-Dam Nguyen Nguyen Viet Tiep Quynh-Anh Thi Bui Hiep Van Le Indra prakash Romulus Costache Manish Pandey Binh Thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

Zinc partitioning in basmati rice varieties as influenced by Zn fertilization

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The Crop Journal 2018年第2期6卷 136-147页

作者： prakash chand Ghasal Yashbir Singh Shivay Vijay Pooniya Mukesh Choudhary Rakesh Kumar Verma ICAR-Indian Agricultural Research Institute New Delhi 110012India

Zinc(Zn) ferti-fortification using different sources and methods in Zn deficient soils is being advocated to increase Zn concentration in rice kernel as an alternative to pursuing greater Zn-use efficiency(ZnUE). A two-year field study was conducted to assess the effect of Zn application on Zn content and uptake at several growth stages and in several parts of the rice kernel: hull, bran, and the white rice kernel. Variety ‘PB 1509' with 1.25 kg Zn ha^(-1) as Zn-EDTA + 0.5% foliar spray(FS) at maximum tillering(MT) and panicle initiation(PI) stages registered the highest Zn content in hull, bran, and white rice kernel. Among parts of the rice kernel, Zn concentration decreased in the order hull > bran > white rice kernel,indicating that brown rice kernels are much denser in Zn content than polished *** the higher Zn accumulation in the bran, brown rice consumption, especially in Asia and Africa, could be recommended to overcome Zn malnutrition. The variety ‘PB 1401'showed the highest Zn uptake in rice straw, while ‘PB 1509' showed the highest Zn uptake in hull and white rice kernel. Application of 1.25 kg Zn ha^(-1)(Zn-EDTA) + 0.5% FS at MT and PI and 2.5 kg Zn ha^(-1) ZnSO_4·7H_2O(ZnSHH) + 0.5% FS at MT and PI resulted in higher Zn uptake than other treatments. On average, about one third of total Zn uptake remained in the white rice kernel, with the remaining two thirds accumulating in both hull and bran of brown rice. Zn-EDTA along with 0.5% FS, despite the application of a lower quantity of Zn leading to the highest Zn mobilization efficiency index(ZnMEI) and Zn-induced nitrogen recovery efficiency(ZniNRE), produced the highest kernel yield. However, of the two Zn sources, Zn-EDTA contributed more to the increase in ZnUE than did ZnSHH.

关键词： Aromatic rice Zn fertilization Zn-EDTA ZnSO4·7H2O Zn use efficiency Zn mobilization efficiency index

Modal analysis of prestressed draft pad of freight wagons using finite element method

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Journal of Modern Transportation 2015年第1期23卷 43-49页

作者： Sachin Sudhakar Harak Satish chand Sharma Suraj prakash Harsha Vibration and Noise Control Lab. Mechanical and Industrial Engineering Department Indian Institute of Technology

The present work intends to investigate dynamic behaviour of draft gear using finite element method. The longitudinal force that the draft gear absorbs usually leads to the failure of its components, especially, the load bearing draft pads. Dynamic behaviour of an individual draft pad and a draft gear is determined and characterized with exciting frequen- cies and corresponding mode shapes. The effect of compressive prestress load on the dynamic behaviour of an individual draft pad is also determined as the draft pads in assembled state are under constant axial compressive force in the draft gear. The vibration characteristics of individual draft pad are compared with draft pads that are part of draft gear. The modal analysis gives us a basis for subjecting a draft pad to higher frequency loading for determining its fatigue behaviour.

关键词： Draft gear. Draft pad. Prestress Naturalfrequency Mode shapes Finite element method

PSO Based Multi-Objective Approach for Controlling PID Controller

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Computers, Materials & Continua 2022年第6期71卷 4409-4423页

作者： Harsh Goud prakash chandra Sharma Kashif Nisar Ag.Asri Ag.Ibrahim Muhammad Reazul Haque Narendra Singh Yadav Pankaj Swarnkar Manoj Gupta Laxmi chand Indian Institute of Information Technology NagpurIndia School of Computing&Information Technology Manipal UniversityJaipur(Rajasthan)India Faculty of Computing and Informatics University Malaysia SabahJalan UMS88400Kota Kinabalu SabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran Multimedia63100CyberjayaSelangorMalaysia Maulana Azad National Institute of Technology BhopalIndia Department of Electronics and Communication Engineering JECRC UniversityJaipur(Rajasthan)India

CSTR(Continuous stirred tank reactor)is employed in process control and chemical industries to improve response characteristics and system *** has a highly nonlinear characteristic that includes complexities in its control and *** performance is compassionate to change in system parameterswhich need more effort for planning a significant controller for *** reactor temperature changes in either direction from the defined reference *** is important to note that the intensity of chemical actions inside the CSTR is dependent on the various levels of temperature,and deviation from reference values may cause degradation of biomass *** and implementation of an appropriate adaptive controller for such a nonlinear system are *** this paper,a conventional Proportional Integral Derivative(PID)controller is *** conventional techniques to deal with constraints suffer severe limitations like it has fixed controller ***,A novel method is applied for computing the PID controller parameters using a swarm algorithm that overcomes the conventional controller’s *** the proposed technique,PID parameters are tuned by Particle Swarm Optimization(PSO).It is not easy to choose the suitable objective function to design a PID controller using PSO to get an optimal *** this article,a multi-objective function is proposed for PSO based controller design of CSTR.

关键词： Particle swarm optimization multi-objective PSO continuous stirred tank reactor proportional integral derivative controller

A dysregulated calcium homeostasis as the earliest pathological sign in stem cell-derived Parkinson's disease neurons?

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Neural Regeneration Research 2024年第7期19卷 1421-1422页

作者： Nilima prakash Working Group Human Stem Cell Research Department Hamm 2Hamm-Lippstadt University of Applied SciencesHammGermany

Parkinson’s disease(PD) is characterized by the slow and progressive demise of dopamine(DA)-synthesizing neurons in the substantia nigra pars compacta(SNc),a nucleus located in the human ventral *** death also affects other regions in the brain at later stages of *** concomitant lack of DA in the human forebrain(striatum) leads to the typical motor symptoms of this still uncurable neurodegenerative disorder.

关键词： homeostasis dopamine death