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| 1 | Effect of BaO on the crystallization kinetics of glasses along the Diopside-Ca-Tschermak join显示文摘 | Ashutosh Goel Dilshat U Tulyaganov Ishu K Goel | | 0，，： | 1 |
| 2 | Enhanced Phospholipase C activity in the Vascular wall of Spontaneous hypertensive rats显示文摘 | Ishu M Isnimitsu J | 1988 | Hypertension1988，11，1： | 1 |
| 3 | Gender and Social Relationships Arung the Never - Married 显示文摘 | Seccombe Karen and Ishu - Kuntz Masako | 1994 | Sex Roles1994，30，78： | 1 |
| 4 | Deranged myofila- merit phosphorylation and function in experimental heart failure with pre- served ejection fraction显示文摘 | Hamdani N B ishu KG yon Frieling-Salewsky M | 2013 | Cardiovasc Res2013，97，3： | 1 |
| 5 | Odorant receptor gene choice is reset by nuclear transfer from mouse olfactory sensory neurons 显示文摘 | LI J ISHU T FEINSTETN P | 2004 | Nature2004，428，： | 1 |
| 6 | Generation of Ski-knockdown mice by expressing a long double stranded RNA from an RNA polymerase Ⅱ promotor显示文摘 | Shinagawa T Ishu S | 2003 | Gene Dev2003，17，11： | 1 |
| 7 | Field study of long-span shell-type undergoing flow-induced vibrations显示文摘 | ISHU N KNISLEY C W | 1995 | Journal of Flows and Structures1995，，9： | 1 |
| 8 | Field study of long-span shell-type undergoing flow-induced vibrations显示文摘 | ISHU N KNISLEY C W | 1995 | J of Flows and Structures1995，，9： | 1 |
| 9 | Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS显示文摘 | Ishu A Willcocks RJ Forbes SC | 2014 | Neurology2014，83，11： | 1 |
| 10 | Synthesis and properties of two-dimensional nanostructures by direct intercalation of polymer melts in layered silicates显示文摘 | Vaia R A Ishu H Giannelis E P | 1993 | Chem Mater1993，5，： | 1 |
| 11 | Automatic image stabilizing system by full-digital signal processing 显示文摘 | Uomori K Morimura A Ishu H | 1990 | 1EEE Transactions on Consumer Electronics1990，36，3： | 1 |
| 12 | Therapeutic benefits and salty of carvedilol in the treatment of renal hypertension: an open, shortterm study显示文摘 | Kohno M Takeda T Ishu M | 1988 | Drug1988，，： | 1 |
| 13 | Influence of Voltage Variation on the Size of Magnetite Nanoparticles Synthesized by Electrochemical Method显示文摘 | Ishu Singhal Rohtash Kumar Balaji Birajdar | 2015 | 材料科学与工程(中英文B版)2015，5，9： | 0 |
| 14 | Real Time Control System for Metro Railways Using PLC & SCADA显示文摘This paper proposes to adopt SCADA and PLC technology for the improvement of the performance of real time signaling&train control systems in metro railways.The main concern of this paper is to minimize the failure in automated metro railways system operator and integrate the information coming from Operational Control Centre(OCC),traction SCADA system,traction power control,and power supply system.This work presents a simulated prototype of an automated metro train system operator that uses PLC and SCADA for the real time monitoring and control of the metro railway systems.Here,SCADA is used for the visualization of an automated process operation and then the whole opera-tion is regulated with the help of PLC.The PLC used in this process is OMRON(NX1P2-9024DT1)and OMRON’s Sysmac studio programming software is used for developing the ladder logic of PLC.The metro railways system has deployed infrastructure based on SCADA from the power supply system,and each station’s traction power control is connected to the OCC remotely which commands all of the stations and has the highest command priority.An alarm is triggered in the event of an emergency or system congestion.This proposed system overcomes the drawbacks of the current centralized automatic train control(CATC)system.This system provides prominent benefits like augmenting services which may enhance a network’s full load capacity and networkflexibility,which help in easy modification in the existing program at any time. | Ishu Tomar Indu Sreedevi Neeta Pandey | 2023 | Intelligent Automation & Soft Computing2023，，2： | 0 |
| 15 | Residual U-Network for Breast Tumor Segmentation from Magnetic Resonance Images显示文摘Breast cancer positions as the most well-known threat and the main source of malignant growth-related morbidity and mortality throughout the world.It is apical of all new cancer incidences analyzed among females.Two features substantially inuence the classication accuracy of malignancy and benignity in automated cancer diagnostics.These are the precision of tumor segmentation and appropriateness of extracted attributes required for the diagnosis.In this research,the authors have proposed a ResU-Net(Residual U-Network)model for breast tumor segmentation.The proposed methodology renders augmented,and precise identication of tumor regions and produces accurate breast tumor segmentation in contrast-enhanced MR images.Furthermore,the proposed framework also encompasses the residual network technique,which subsequently enhances the performance and displays the improved training process.Over and above,the performance of ResU-Net has experimentally been analyzed with conventional U-Net,FCN8,FCN32.Algorithm performance is evaluated in the form of dice coefcient and MIoU(Mean Intersection of Union),accuracy,loss,sensitivity,specicity,F1score.Experimental results show that ResU-Net achieved validation accuracy&dice coefcient value of 73.22%&85.32%respectively on the Rider Breast MRI dataset and outperformed as compared to the other algorithms used in experimentation. | Ishu Anand Himani Negi Deepika Kumar Mamta Mittal Tai-hoon Kim Sudipta Roy | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 16 | Controlling Diffusion by Varying Width of Layers in Nano Channel显示文摘Diffusive dynamics of fluid forming layers of high and low density regions in a nanochannel has been investigated.Diffusion coefficient in direction parallel and perpendicular to the confining wall has been found to show behaviour which is not observed in micro channel or bulk systems.The behaviour of diffusion is found to be controlled by the width of layers formed in nanochannel due to wall and particle interactions.This is an important result as width of layers and hence flow of fluid inside nano pores/tube can be controlled by an external source. | Ishu Goyal Sunita Srivastava K.Tankeshwar | 2012 | Nano-Micro Letters2012，4，3： | 0 |
| 17 | An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches显示文摘The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical imageprocessing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposesan improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. Thebetter resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In thisprocess, the visual challenges of the K-means are addressed with the integration of four nature-inspired swarmintelligent techniques. The techniques experimented in this paper are K-means with Artificial Bee Colony (ABC),K-means with Cuckoo Search Algorithm (CSA), K-means with Particle Swarm Optimization (PSO), and Kmeanswith Firefly Algorithm (FFA). The testing and evaluation are performed on Early Lung Cancer ActionProgram (ELCAP) database. The simulation analysis is performed using lung cancer images set against metrics:precision, sensitivity, specificity, f-measure, accuracy,Matthews Correlation Coefficient (MCC), Jaccard, and Dice.The detailed evaluation shows that the K-means with Cuckoo Search Algorithm (CSA) significantly improved thequality of lung cancer segmentation in comparison to the other optimization approaches utilized for lung cancerimages. The results exhibit that the proposed approach (K-means with CSA) achieves precision, sensitivity, and Fmeasureof 0.942, 0.964, and 0.953, respectively, and an average accuracy of 93%. The experimental results prove thatK-meanswithABC,K-meanswith PSO,K-meanswith FFA, andK-meanswithCSAhave achieved an improvementof 10.8%, 13.38%, 13.93%, and 15.7%, respectively, for accuracy measure in comparison to K-means segmentationfor lung cancer images. Further, it is highlighted that the proposed K-means with CSA have achieved a significantimprovement in accuracy, hence can be utilized by researchers for improved segmentation processes of medicalimage datasets for identifying the targeted region of interest. | Shazia Shamas Surya Narayan Panda Ishu Sharma Kalpna Guleria Aman Singh Ahmad Ali AlZubi Mallak Ahmad AlZubi | 2024 | Computer Modeling in Engineering & Sciences2024，138，2： | 0 |
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