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| 1 | Heat transfer in MHD viscoelastic boundary layer flow over a stretching sheet with non-uniform heat source/sink 显示文摘 | Abel M S Mahantesh M Nandeppanavar | 2009 | Comm Nonlinear Sci Num Sim2009，14，5： | 1 |
| 2 | Protective effect of embelin against acetic acid induced ulcerative colitis in rats显示文摘 | Boreddy Shivanandappa Thippeswamy Sekar Mahendran Mahantesh I. Biradar Pooja Raj Kamya Srivastava Shrishailappa Badami Veeresh Prabhakar Veerapur | 2010 | European Journal of Pharmacology2010，，1： | 1 |
| 3 | Challenges in Managing Postpartum Hemorrhage in Resource-poor Countries显示文摘 | MAHANTESH KAROSHI LOUIS KEITH | 2009 | Clinical Obstetrics and Gynecology2009，，2： | 1 |
| 4 | Challenges in Managing Postpartum Hemorrhage in Resource-poor Countries显示文摘 | MAHANTESH KAROSHI LOUIS KEITH | 2009 | Clinical Obstetrics and Gynecology2009，，： | 1 |
| 5 | Thermal Convection in a Rotating Porous Layer Using a Thermal Non-equilibrium Model 显示文摘 | alashetty M S Mahantesh S Sridhar K | 2007 | Physics of Fluids2007，19，05： | 1 |
| 6 | Two-Tier Clustering with Routing Protocol for IoT Assisted WSN显示文摘In recent times,Internet of Things(IoT)has become a hot research topic and it aims at interlinking several sensor-enabled devices mainly for data gathering and tracking applications.Wireless Sensor Network(WSN)is an important component in IoT paradigm since its inception and has become the most preferred platform to deploy several smart city application areas like home automation,smart buildings,intelligent transportation,disaster management,and other such IoT-based applications.Clustering methods are widely-employed energy efficient techniques with a primary purpose i.e.,to balance the energy among sensor nodes.Clustering and routing processes are considered as Non-Polynomial(NP)hard problems whereas bio-inspired techniques have been employed for a known time to resolve such problems.The current research paper designs an Energy Efficient Two-Tier Clustering with Multi-hop Routing Protocol(EETTC-MRP)for IoT networks.The presented EETTC-MRP technique operates on different stages namely,tentative Cluster Head(CH)selection,final CH selection,and routing.In first stage of the proposed EETTC-MRP technique,a type II fuzzy logic-based tentative CH(T2FL-TCH)selection is used.Subsequently,Quantum Group Teaching Optimization Algorithm-based Final CH selection(QGTOA-FCH)technique is deployed to derive an optimum group of CHs in the network.Besides,Political Optimizer based Multihop Routing(PO-MHR)technique is also employed to derive an optimal selection of routes between CHs in the network.In order to validate the efficacy of EETTC-MRP method,a series of experiments was conducted and the outcomes were examined under distinct measures.The experimental analysis infers that the proposed EETTC-MRP technique is superior to other methods under different measures. | AArokiaraj Jovith Mahantesh Mathapati M.Sundarrajan N.Gnanasankaran Seifedine Kadry Maytham N.Meqdad Shabnam Mohamed Aslam | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 7 | Intelligent DoS Attack Detection with Congestion Control Technique for VANETs显示文摘VehicularAd hoc Network(VANET)has become an integral part of Intelligent Transportation Systems(ITS)in today’s life.VANET is a network that can be heavily scaled up with a number of vehicles and road side units that keep fluctuating in real world.VANET is susceptible to security issues,particularly DoS attacks,owing to maximum unpredictability in location.So,effective identification and the classification of attacks have become the major requirements for secure data transmission in VANET.At the same time,congestion control is also one of the key research problems in VANET which aims at minimizing the time expended on roads and calculating travel time as well as waiting time at intersections,for a traveler.With this motivation,the current research paper presents an intelligent DoS attack detection with Congestion Control(IDoS-CC)technique for VANET.The presented IDoSCC technique involves two-stage processes namely,Teaching and Learning Based Optimization(TLBO)-based Congestion Control(TLBO-CC)and Gated Recurrent Unit(GRU)-based DoS detection(GRU-DoSD).The goal of IDoS-CC technique is to reduce the level of congestion and detect the attacks that exist in the network.TLBO algorithm is also involved in IDoS-CC technique for optimization of the routes taken by vehicles via traffic signals and to minimize the congestion on a particular route instantaneously so as to assure minimal fuel utilization.TLBO is applied to avoid congestion on roadways.Besides,GRU-DoSD model is employed as a classification model to effectively discriminate the compromised and genuine vehicles in the network.The outcomes from a series of simulation analyses highlight the supremacy of the proposed IDoS-CC technique as it reduced the congestion and successfully identified the DoS attacks in network. | R.Gopi Mahantesh Mathapati B.Prasad Sultan Ahmad Fahd N.Al-Wesabi Manal Abdullah Alohali Anwer Mustafa Hilal | 2022 | Computers, Materials & Continua2022，，7： | 0 |
| 8 | A comparative analysis of paddy crop biotic stress classification using pre-trained deep neural networks显示文摘The agriculture sector is no exception to the widespread usage of deep learning tools and techniques.In this paper,an automated detection method on the basis of pre-trained Convolutional Neural Network(CNN)models is proposed to identify and classify paddy crop biotic stresses from the field images.The proposed work also provides the empirical comparison among the leading CNN models with transfer learning from the ImageNet weights namely,Inception-V3,VGG-16,ResNet-50,DenseNet-121 and MobileNet-28.Brown spot,hispa,and leaf blast,three of the most common and destructive paddy crop biotic stresses that occur during the flowering and ripening growth stages are considered for the experimentation.The experimental results reveal that the ResNet-50 model achieves the highest average paddy crop stress classification accuracy of 92.61%outperforming the other considered CNN models.The study explores the feasibility of CNN models for the paddy crop stress identification as well as the applicability of automated methods to non-experts. | Naveen N.Malvade Rajesh Yakkundimath Girish Saunshi Mahantesh C.Elemmi Parashuram Baraki | 2022 | Artificial Intelligence in Agriculture2022，，1： | 0 |
| 9 | Influence of span-to-depth ratio on dynamic response of vehicle-turnoutbridge system in high-speed railway显示文摘For high-speed railways,the smoothness of the railway line significantly affects the operational speed of trains.When the train passes through the turnout on a long-span bridge,the wheel-rail impacts caused by the turnout structure irregularities,and the instability arising from the bridge's flexural deformation lead to a strong coupling effect in the vehicle-turnout-bridge system.This significantly affects both ride comfort and operational safety.For addressing this issue,the present study considered a long-span continuous rigid-frame bridge as an example and established a train-turnout-bridge coupled dynamic model of high-speed railway.Utilizing a selfdeveloped dynamic simulation program,the study analysed the dynamic response characteristics when the train passes through the turnouts on the bridge.It also investigated the influence of different span-to-depth ratios of the bridge on the vehicle dynamic response when the train passes through the main line and branch line of turnouts and then proposed a span-to-depth ratio limit value for a long-span continuous rigid-frame bridge.The research findings suggest that the changes in the span-to-depth ratio have a relatively minor impact on the train’s operational performance but significantly affect the dynamic characteristics of the bridge structure.Based on the findings and a comprehensive assessment of safety indicators,it is advisable to establish a span-to-depth ratio limit of 1/4500 for a long-span continuous rigid-frame bridge. | Chuanqing Dai Tao Xin Shenlu Qiao Yanan Zhang Pengsong Wang Mahantesh M.Nadakatti | 2024 | High-Speed Railway2024，2，1： | 0 |
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