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Automatic Finding of Brain-Tumour Group Using CNN Segmentation and Moth-Flame-Algorithm,Selected Deep and Handcrafted Features

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Computers, Materials & Continua 2024年第5期79卷 2585-2608页

作者： Imad Saud Al Naimi Syed Alwee Aljunid Syed Junid Muhammad lmran Ahmad k.suresh Manic Faculty of Electronic Engineering Technology University Malaysia Perils(UniMAP)Pauh Putra CampusArauPerlis02600Malaysia Department of Electrical and Communication Engineering National University of Science and TechnologyAL HailAL Seeb130Sultanate of Oman Department of Research and Innovation Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ChennaiTamiNadu602105India

Augmentation of abnormal cells in the brain causes brain tumor(BT),and early screening and treatmentwill reduce its harshness in ***’s clinical level screening is usually performed with Magnetic Resonance Imaging(MRI)due to its multi-modality *** overall aims of the study is to introduce,test and verify an advanced image processing technique with algorithms to automatically extract tumour sections from brain MRI scans,facilitating improved *** research intends to devise a reliable framework for detecting the BT region in the twodimensional(2D)MRI slice,and identifying its class with improved *** methodology for the devised framework comprises the phases of:(i)Collection and resizing of images,(ii)Implementation and Segmentation of Convolutional Neural Network(CNN),(iii)Deep feature extraction,(iv)Handcrafted feature extraction,(v)Moth-Flame-Algorithm(MFA)supported feature reduction,and(vi)Performance *** study utilized clinical-grade brain MRI of BRATS and TCIA datasets for the *** framework segments detected the glioma(low/high grade)and glioblastoma class *** work helped to get a segmentation accuracy of over 98%with VGG-UNet and a classification accuracy of over 98%with the VGG16 *** study has confirmed that the implemented framework is very efficient in detecting the BT in MRI slices with/without the skull section.

关键词： Brain tumour VGG-UNet VGG16 moth-flame-algorithm classification

Nanomagnet-facilitated pharmaco-compatibility for cancer diagnostics:Underlying risks and the emergence of ultrasmall nanomagnets

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Journal of Pharmaceutical Analysis 2022年第3期12卷 365-379页

作者： Divya S.Parimi Yamini Gupta Sreekar Marpu Chandra S.Bhatt Tharun k.Bollu Anil k.suresh Bionanotechnology&Sustainable Laboratory Department of Biological SciencesSchool of Engineering and Applied SciencesSri Ramaswamy Memorial(SRM)UniversityAmaravati522503India Department of Chemistry University of North TexasDentonTX76201USA Department of Biotechnology Faculty of Science and HumanitiesSri Ramaswamy Memorial(SRM)Institute of Science and TechnologyChennai603203India

Cancer therapy is a fast-emerging biomedical paradigm that elevates the diagnostic and therapeutic potential of a nanovector for identification,monitoring,targeting,and post-treatment response *** of superparamagnetic iron oxide nanoparticles(SPION)are of tremendous significance in cancer therapy because of their inherited high surface area,high reactivity,biocompatibility,superior contrast,and magnetic and photo-inducibility *** addition to a brief introduction,we summarize various progressive aspects of nanomagnets pertaining to their production with an emphasis on sustainable biomimetic ***-synthesis particulate and surface alterations in terms of pharmaco-affinity,liquid accessibility,and biocompatibility to facilitate cancer therapy are *** parameters including particle contrast,core-fusions,surface area,reactivity,photosensitivity,photodynamics,and photothermal properties,which facilitate diverse cancer diagnostics,are *** also elaborate on the concept of magnetism to selectively focus chemotherapeutics on tumors,cell sorting,purification of bioentities,and elimination of ***,while addressing the toxicity of nanomaterials,the advent of ultrasmall nanomagnets as a healthier alternative with superior properties and compatible cellular interactions is *** summary,these discussions spotlight the versatility and integration of multitasking nanomagnets and ultrasmall nanomagnets for diverse cancer theragnostics.

关键词： Nanomagnets Biomimetics Utrasmall-SPIONs Magnetization Core-fusion Cancer theragnostics

Adaptive Marine Predator Optimization Algorithm(AOMA)-Deep Supervised Learning Classification(DSLC)based IDS framework for MANET security

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Intelligent and Converged Networks 2024年第1期5卷 1-18页

作者： M.Sahaya Sheela A.Gnana Soundari Aditya Mudigonda C.kalpana k.suresh k.Somasundaram Yousef Farhaoui Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600069India Department of Computer Science and Engineering Saveetha School of EngineeringSIMATSChennai 602105India JNIAS School of Planning and Architecture Hyderabad 500034India Department of Computer Science and Engineering NPR College of Engineering and TechnologyNatham Dindigul 624401India Department of Computer Science and Engineering PSNA College of Engineering and TechnologyPoolangulathupatti 620009India Department of Computer Science and Engineering Sri Muthukumaran Institute of TechnologyChennai 600069India Department of Computer Science Moulay Ismail UniversityMeknes 5003Morocco

Due to the dynamic nature and node mobility,assuring the security of Mobile Ad-hoc Networks(MANET)is one of the difficult and challenging tasks *** MANET,the Intrusion Detection System(IDS)is crucial because it aids in the identification and detection of malicious attacks that impair the network’s regular *** machine learning and deep learning methodologies are used for this purpose in the conventional works to ensure increased security of ***,it still has significant flaws,including increased algorithmic complexity,lower system performance,and a higher rate of ***,the goal of this paper is to create an intelligent IDS framework for significantly enhancing MANET security through the use of deep learning ***,the min-max normalization model is applied to preprocess the given cyber-attack datasets for normalizing the attributes or fields,which increases the overall intrusion detection performance of ***,a novel Adaptive Marine Predator Optimization Algorithm(AOMA)is implemented to choose the optimal features for improving the speed and intrusion detection performance of ***,the Deep Supervise Learning Classification(DSLC)mechanism is utilized to predict and categorize the type of intrusion based on proper learning and training *** evaluation,the performance and results of the proposed AOMA-DSLC based IDS methodology is validated and compared using various performance measures and benchmarking datasets.

关键词： Intrusion Detection System(IDS) Security Mobile Ad-hoc Network(MANET) min-max normalization Adaptive Marine Predator Optimization Algorithm(AOMA) Deep Supervise Learning Classification(DSLC)

Effect of carbon-doping on structural and dielectric properties of zinc oxide

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Journal of Advanced Dielectrics 2020年第4期10卷 61-67页

作者： MD.Parvez Ahmad A.Venkateswara Rao k.suresh Babu G.Narsinga Rao Advanced Functional Materials Research Centre Department of Physics Koneru Lakshmaiah Education Foundation VaddeswaramGunturAndhra Pradesh 522502India Department of Humanities&Sciences Marri Laxman Reddy Institute of Technology and Management Hyderabad Telangana 500043India

In this paper,Carbon-doped Zinc Oxide(C-ZnO)samples were prepared using the solid-state reaction *** influence of carbon-doping on the structural and dielectric properties of ZnO samples was *** shift in the highest peak position(101)in XRD patterns of carbon-doped samples was *** Raman peak at 581 cm^(-1) in undoped ZnO was shifted and broadened in carbon-doped ZnO *** ZnO samples doped with carbon show higher values of dielectric constant(~2400 at 1 kHz)compared to pure ZnO(~9 at 1 kHz)which was due to increase in native point defects in the *** ac conductivity(σ_(ac))value of the carbon-doped sample was enhanced by 103 times for((ZnO)_(0.9) C_(0.1))sample.

关键词： Zinc oxide dielectric properties high dielectric permittivity AC conductivity

Microstructure and mechanical properties of as-cast Mg-Sn-Ca alloys and effect of alloying elements

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Transactions of Nonferrous Metals Society of China 2013年第12期23卷 3604-3610页

作者： k.suresh k.P.RAO Y.V.R.k.PRASAD N.HORT k.U.kAINER Department of Mechanical and Biomedical Engineering City University of Hong Kong Consultant *** No. 2/B Vinayaka Nagar Helmholtz-Zentrum Geesthacht Institute of Materials Research Magnesium Innovation Centre

The effect of Sn, Ca, Al, Si and Zn addition on the compressive strength of cast Mg-Sn-Ca （TX） alloys was studied in the temperature range of 25-250 °C and correlated with the microstructure. The Sn to Ca mass ratio up to 2.5 contributes to the formation of Mg2Ca phase at the grain boundaries and CaMgSn in the matrix, while a ratio of 3 gives only CaMgSn phase mostly in the matrix. While the compressive strength decreases with the increase in temperature, for Sn/Ca up to 2.5, a plateau occurs in 100-175 °C, which is attributed to the strengthening by Mg2Ca. However, for ratio of 3, the strength is lower and decreases more gradually. Mg-3Sn-2Ca （TX32） has the highest strength and the addition of 0.4%Al increases its strength but simultaneous addition of Si lowers the strength. Likewise, the addition of Zn improves its strength but simultaneous addition of Al slightly decreases the strength. The results are correlated with the types of intermetallic phases that form in various alloys.

关键词： Sn/Ca ratio Mg-Sn-Ca alloys alloying additions microstructure compressive strength

海枣核CO_2活化和磷酸活化制备活性炭及其结构、吸附性能(英文)

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新型炭材料 2012年第5期27卷 344-351页

作者： k. suresh kumar Reddy Ahmed Al Shoaibi C. Srinivasakannan Chemical Engineering Department The Petroleum Institute P.O. Box 2533 Abu Dhabi UAE

由于具有很大的吸附容量,多孔炭材料是优良的吸附剂。笔者试图比较海枣核分别经CO2活化和磷酸活化所制活性炭的结构和吸附性能。活化过程和工艺条件对炭的物理化学性质影响较大,根据文献报道的结果选取了优化的工艺参数。基于氮气吸附... 详细信息

由于具有很大的吸附容量,多孔炭材料是优良的吸附剂。笔者试图比较海枣核分别经CO2活化和磷酸活化所制活性炭的结构和吸附性能。活化过程和工艺条件对炭的物理化学性质影响较大,根据文献报道的结果选取了优化的工艺参数。基于氮气吸附等温线、SEM、FT-IR等分析结果,评估了活性炭的结构特征,吸附性能则由亚甲蓝吸附值表示。CO2活化得到了微孔活性炭,产率为44%、BET比表面积是666 m2·g-1;磷酸活化得到了产率为14.8%的中孔活性炭,BET比表面积为725 m2·g-1。CO2活化活性炭的平均孔径是1.51 nm,磷酸活化活性炭的则为2.91 nm。活性炭的亚甲蓝吸附等温线分别用Langmuir等温线和Freundlich等温线进行了验证,在优化工艺条件下制备的CO2活化炭和磷酸活化炭的亚甲蓝w单分子吸附容量分别为110 mg·g-1和345 mg·g-1。然而,磷酸活化产生的亚甲蓝吸附值最高达455 mg·g-1。

关键词：活性炭物理活化化学活化 Langmuir等温线 Freundlich等温线

Hot forging of Mg-4Al-2Ba-2Ca(ABa X422) alloy and validation of processing map

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Transactions of Nonferrous Metals Society of China 2018年第8期28卷 1495-1503页

作者： k.suresh k.P.RAO Y.V.R.k.PRASAD N.HORT H.DIERINGA Department of mechanical and Biomedical Engineering City Uiliversity of Hong Kong Tat Chee Avenue Kowloon Hoilg Koilg China *** No. 2/B vinayaka Nagar Hebbal Bengalum 560024 India Helmholtz-zentrum Geesthacht institute of Materials ResearchMagnesium innovation Centre Max-Planck-StraBe 1 Geesthacht 21502 Germany

A cup-shaped component of Mg-4 Al-2 Ba-2 Ca（ABa X422） alloy was forged in the temperature range of 300-500 °C and at speeds in the range of 0.01-10 mm/s with a view to validate the processing map and study the microstructural development. The process was simulated through finite-element method to estimate the local and average strain rate ranges in the forging envelope. The processing map exhibited two domains in the following ranges：（1） 300-390 °C and 0.0003-0.001 s^-1, and（2） 400-500 °C and 0.0003-0.3 s^-1 and both represented dynamic recrystallization（DRX）. The map revealed a wide flow instability regime at higher strain rates and temperatures lower than 400 °C, in which flow localization occurred. Forgings produced under conditions of the above two domains were sound and symmetrical, and had finer grain sizes when being forged in the first domain. However, when being forged in the flow instability regimes, the alloy fractured before the final shape was reached. The experimental load-stroke curves for the conditions within the domains correlated well with the simulated ones, whereas the curves obtained in the instability regime were uneven.

关键词： magnesium alloy, processing map hot forging dynamic recrystallization

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用吖啶橙染色法鉴别各阶段的人芽囊原虫

医学动物防制 1995年第2期11卷 202-202页

作者： k.suresh G.C.NG L.C.HO E.H.YAP M.SINGH 王伯霞冯晓勇

人芽囊原虫(Blastocystis hominis)是一种肠道原虫。曾有报导用试管成囊培基培养包囊阶段,并对其成囊期不同阶段的超微结构做了描述。荧光吖啶橙染色曾应用于疟原虫,阴道毛滴虫和卡氏肺孢子虫的研究。本文报导是用吖啶橙染色鉴别囊状体... 详细信息

人芽囊原虫(Blastocystis hominis)是一种肠道原虫。曾有报导用试管成囊培基培养包囊阶段,并对其成囊期不同阶段的超微结构做了描述。荧光吖啶橙染色曾应用于疟原虫,阴道毛滴虫和卡氏肺孢子虫的研究。本文报导是用吖啶橙染色鉴别囊状体和中心体的人芽囊原虫。

关键词：人芽囊原虫吖啶橙染色法鉴

Magnetic separation studies on ferruginous chromite fine to enhance Cr:Fe ratio

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International Journal of Minerals,Metallurgy and Materials 2015年第3期22卷 217-224页

作者： Sunil kumar Tripathy P.k.Banerjee Nikkam suresh Research and Development Division Tata Steel Ltd. Fuel and Mineral Engineering Dept. Indian School of Mines

The Cr：Fe ratio （chromium-to-iron mass ratio） of chromite affects the production of chrome-based ferroalloys. Although the lit- erature contains numerous reports related to the magnetic separation of different minerals, limited work concerning the application of mag- netic separation to fine chromite from the Sukinda region of India to enhance its Cr：Fe ratio has been reported. In the present investigation, magnetic separation and mineralogical characterization studies of chromite fines were conducted to enhance the Cr：Fe ratio. Characterization studies included particle size and chemical analyses, X-ray diffraction analysis, automated mineral analysis, sink-and-float studies, and mag- netic susceptibility measurements, whereas magnetic separation was investigated using a rare earth drum magnetic separator, a rare earth roll magnetic separator, an induced roll magnetic separator, and a wet high-intensity magnetic separator. The fine chromite was observed to be upgraded to a Cr：Fe ratio of 2.2 with a yield of 55.7% through the use of an induced roll magnetic separator and a feed material with a Cr：Fe ratio of 1.6.

关键词： chromite ore treatment magnetic separation characterizafion mineral processing industry