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Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques

Intelligent Automation & Soft computing 2023年第1期35卷 1069-1086页

作者： G.Arutperumjothi K.Suganya Devi c.rani P.Srinivasan Anna University Tamil NaduIndia Department of cSE National Institute of TechnologySilcharCacharAssamIndia Department of cSE Government College of EngineeringSalemTamilnaduIndia Department of Physics National Institute of TechnologySilcharCacharAssamIndia

In recent years,Peripheral blood smear is a generic analysis to assess the person’s health *** testing of Peripheral blood smear images are difficult,time-consuming and is subject to human intervention and visual *** method encouraged for researchers to present algorithms and techniques to perform the peripheral blood smear analysis with the help of computer-assisted and decision-making *** cAD based methods are lacks in attaining the accurate detection of abnormalities present in the *** order to mitigate this issue Deep convolution Neural Network(DcNN)based automatic classification technique is introduced with the classification of eight groups of peripheral blood cells such as basophil,eosinophil,lymphocyte,monocyte,neutrophil,erythroblast,platelet,myocyte,promyocyte and *** proposed DcNN model employs transfer learning approach and additionally it carries three stages such as pre-processing,feature extraction and *** the pre-processing steps are incorporated to eliminate noisy contents present in the image by using Histogram Equalization(HE).It is enclosed to improve an image *** order to distinguish the dissimilar class and segmentation approach is carried out with the help of Fuzzy c-Means(FcM)model whereas its centroid point optimality method with Slap Swarm based optimization *** some specific set of Gray Level co-occurrence Matrix(GLcM)features of the segmented images are extracted to augment the performance of proposed detection *** the extracted features are recorded by DcNN and the proposed classifier has the capability to extract their own *** on this the diverse set of classes are classified and distinguished from qualitative abnormalities found in the image.

关键词： Peripheral blood smear DcNN classifier pre-processing segmentation feature extraction salp swarm optimization classification

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FEA-based Geometrical Modification of Switched Reluctance Motor for Radial Force Reduction

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chinese Journal of Electrical Engineering 2024年第1期10卷 124-135页

作者： rani S Jayapragash R School of Electrical Engineering Vellore Institute of TechnologyChennai 600127India

Switched reluctance motors(SRMs)are becoming increasingly popular in the automotive sector owing to their robust ***,SRMs are preferred particularly for EV applications owing to their fault tolerance,magnet-free structure,and high power/torque *** main concerns of SRM compared to other machines include torque ripple and *** primary cause of vibration is the radial force created by the SRM.A geometry-based modification of the SRM to reduce the radial force without significantly changing the average torque produced is *** primary goal is to design a 4-phase,8/6 SRM with a lower radial *** possible geometrical alterations are proposed:one with square windows and the other with circular holes on the rotor *** windows are sized and positioned to avoid flux *** criteria are developed for the optimal window size and *** element analysis(FEA)modelling of the SRM is used to validate its *** FEA results are compared with the performance parameters obtained using the analytical *** the multiphysics design tool ANSYS to obtain the natural frequencies and associated deformations through modal *** to the conventional geometry,the radial force is significantly reduced by providing windows.

关键词： 8/6 SRM radial force modal analysis FEA analysis natural frequencies SRM with windows

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chaplygin gas inspired warm inflation and swampland conjectures through various scalar potentials

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chinese Physics c 2024年第9期48卷 254-273页

作者： Abdul Jawad Nadeem Azhar Shama Sadiq Shamaila rani Institute for Theoretical Physics and cosmology Zhejiang University of TechnologyHangzhou 310023China Department of Mathematics COMSATS University IslamabadLahore CampusLahore-54000Pakistan Department of Mathematics National University of Modern Languages(NUML)Lahore CampusLahore-54000Pakistan

In this paper,we analyze inflationary parameters and swampland conjectures in the presence of a scalar field and chaplygin *** examine inflationary parameters,such as slow-roll parameters,scalar and tensor power spectra,spectral index,and tensor-to-scalar ratio,in the presence of a scalar field and chaplygin gas *** also discuss recently proposed swampland *** assume that the inflationary expansion is driven by a standard scalar field with a decay ratioΓthat has a generic power-law dependence on the scalar field 0 and that the temperature of the thermal bath T is given byΓ(φ,T)=c_(φ)T^(a)/φ^(a-1),where c_(φ)is a dimensionless parameter and a is the inflation decay *** a scenario where our model operates within a robust dissipative environment(R>>1),we analyze both fundamental and perturbative dynamics to extract key inflationary *** include the scalar power spectrum P_(R),dissipative ratio R,scalar spectral index n_(s),tensor-to-scalar ratio r,running of the scalar spectral index dn_s/dlnk,and generalized ratio of the swampland de-Sitter conjecture T'V/V'T for three different potentials.

关键词： warm inflation swampland conjectures scalar potentials inflationary parameters

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Empirical model for fusion cross sections of ca-induced reactions

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chinese Physics c 2024年第3期48卷 126-132页

作者： Reddi rani.L N.Sowmya K.N Sridhar H c.Manjunatha M.M.Armstrong Arasu Department of Physics St.Joseph's College(Autonomous)Affiliated to Bharathidasan UniversityTiruchirappalli620002TNIndia Department of Physics Govt.First.Grade CollegeChikkaballapur-562101KarnatakaIndia Department of Physics Govt.First.Grade CollegeMalur-563160KarnatakaIndia Department of Physics Govt.First.Grade CollegeDevanahalli-562110KarnatakaIndia

A new empirical formula for the astrophysical S-factor has been suggested as a function of the coulomb interaction parameter,center of mass energy,and barrier *** 22 fusion reactions with ^(40,48)ca as projectiles were considered for different targets,leading to compound nuclei with atomic and mass numbers varying between 40≤Z≤≤Z≤112 and 88≤A≤27888≤A≤278,*** fusion cross-sections have been estimated using the geometric factor,the Gamow-Sommerfield factor,and the empirical formula for the *** study's findings showed better agreement with those of available experiments when compared to Wong's *** present work leads to a smaller standard deviation value than Wong's formula when used to correlate the experimental data of calcium-induced fusion ***'s formula provides a good approximation of fusion cross-sections when the center of mass energy is below the fusion barrier when compared to above the fusion barrier.

关键词： fusion cross-sections Wong formula Gamow-Sommerfield-factor Geometric-factor S-factor

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Niche differentiation among facultative filter feeders: Insights from invasive Ponto-caspian mysids

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current Zoology 2024年第4期70卷 513-521页

作者： Péter Borza Varsha rani csaba F.Vada Institute of Aquatic Ecology Centre for Ecological ResearchKarolina ut 29.1113 BudapestHungary Doctoral School of Biology Institute of BiologyEotvos Lorand UniversityPazmany Péter sétany 1/C1117 BudapestHungary

The degree of dietary specialization has a fundamental impact on the ecological function and interactions of suspension *** niche differentiation by food particle size is common among obligate suspension feeders,its role is not evident in facultative *** this study,we aimed at providing new insights on the matter by focusing on sympatric mysid *** mysids use different mechanisms for raptorial and filter-feeding,they represent a more adequate model system than for example,the more extensively studied *** made morpholog-ical measurements on the 4 coexisting invasive Ponto-caspian mysid species to determine the areas and mesh sizes of their *** also quantified their clearance rates on the microalga cryptomonas *** a laboratory experiment to reveal how morphological differences manifest in their overall filtering *** found relatively small but consistent differences in the primary filter area among the species,indicating that morphological constraints due to the enclosed position of the setae might limit the possibility for *** primary filter mesh sizes were small in all 4 species(0.69-2.73μm)with moderate but consistent intraspecific differences,suggesting that the benefit of being able to capture small particles might outweigh the pressure for *** observed clearance rates were in accordance with the morphological characteristics of the species,highlighting that auxiliary filters(present in one of the species,Limnomysis benedeni)are needed to increase filtering capacity *** study confirmed that food particle size can contribute to the niche differentiation of facultative filter feeders,but also indicated that they can tolerate a higher overlap than obligate *** observed differences were related to the habitat preferences and predatory potentials of the species,suggesting that complementarity among the different niche axes might further facilitate theircoexistence.

关键词： clearance rate coexistence filter area filtermesh size.

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Photometric Studies of EV cnc and AH cnc in the Open cluster M67

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Research in Astronomy and Astrophysics 2024年第8期24卷 196-211页

作者： Mamatha rani G. K.Sriram Deblina Lahiri Vijaya,A. Department of Astronomy Osmania UniversityHyderabad 500007India

contact binaries at various stages of evolution unveil various operating mechanisms that drive *** report the photometric and period variation analysis of two contact binaries EV cnc and AH cnc in open cluster *** observed the cluster from the JcBT 1.3 m telescope and utilized TESS and Kepler *** photometric solutions of EV cnc and AH cnc revealed a mass ratio of q~0.41 and~0.15 with an inclination of i=42°and87°*** solutions suggest that EV cnc is probably a semi-detached and AH cnc is a deep low-mass ratio contact *** study of O-c variation analysis indicates that for both systems,the period is increasing which suggests the mass transfer is occurring from secondary to *** the case of AH cnc and based on simulations by randomly varying the time of minima to fit the LITE solution,we noted the third body orbital period to be around P_(3)=26.82±2.54 yr,which is different from earlier reported values and conclude that future observations are required to confirm this *** compare these two systems with other similar contact binaries to get an estimate of the final configuration of the respective systems.

关键词： (stars)binaries(including multiple) close-(stars)binaries eclipsing-stars activity

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Time and Space Efficient Multi-Model convolution Vision Transformer for Tomato Disease Detection from Leaf Images with Varied Backgrounds

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computers, Materials & continua 2024年第4期79卷 117-142页

作者： Ankita Gangwar Vijaypal Singh Dhaka Geeta rani Shrey Khandelwal Ester Zumpano Eugenio Vocaturo Department of computer and communication Engineering Manipal University JaipurJaipurIndia Department of IoT and Intelligent Systems Manipal University JaipurJaipurIndia Department of computer Engineering ModellingElectronics and Systems(DIMES)University of CalabriaRende(Cosenza)Italy National Research council Institute of Nanotechnology(NANOTEC)Rende(Cosenza)Italy

A consumption of 46.9 million tons of processed tomatoes was reported in 2022 which is merely 20%of the total *** increase of 3.3%in consumption is predicted from 2024 to *** are also rich in iron,potassium,antioxidant lycopene,vitamins A,c and K which are important for preventing cancer,and maintaining blood pressure and glucose ***,tomatoes are globally important due to their widespread usage and nutritional *** face the high demand for tomatoes,it is mandatory to investigate the causes of crop loss and minimize *** are one of the major causes that adversely affect crop yield and degrade the quality of the tomato *** leads to financial losses and affects the livelihood of ***,automatic disease detection at any stage of the tomato plant is a critical *** learning models introduced in the literature show promising results,but the models are difficult to implement on handheld devices such as mobile phones due to high computational costs and a large number of ***,most of the models proposed so far work efficiently for images with plain backgrounds where a clear demarcation exists between the background and leaf ***,the existing techniques lack in recognizing multiple diseases on the same *** address these concerns,we introduce a customized deep learning-based convolution vision transformer *** achieves an accuracy of 93.51%for classifying tomato leaf images with plain as well as complex backgrounds into 13 *** requires a space storage of merely 5.8 MB which is 98.93%,98.33%,and 92.64%less than stateof-the-art visual geometry group,vision transformers,and convolution vision transformermodels,*** training time of 44 min is 51.12%,74.12%,and 57.7%lower than the above-mentioned ***,it can be deployed on(Internet of Things)IoT-enabled devices,drones,or mobile devices to assist farmers in the real-time monitoring of tomato *** p

关键词： Tomato disease transformer deep learning mobile devices

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An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces

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computer Modeling in Engineering & Sciences 2024年第3期138卷 2029-2059页

作者： Sheetal Sharma Kamali Gupta DeepaliGupta Shalli rani Gaurav Dhiman chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India PG Department of Information Technology Goswami Ganesh Dutta Sanatan Dharma CollegeChandigarh160030India Department of computer Science Government Bikram College of CommercePatialaIndia Department of Electrical and computer Engineering Lebanese American UniversityByblosLebanon University centre for Research and Development Department of Computer Science and EngineeringChandigarh UniversityMohali140413India Department of computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India Division of Research and Development Lovely Professional UniversityPunjab144001India

The widespread adoption of the Internet of Things (IoT) has transformed various sectors globally, making themmore intelligent and connected. However, this advancement comes with challenges related to the effectiveness ofIoT devices. These devices, present in offices, homes, industries, and more, need constant monitoring to ensuretheir proper functionality. The success of smart systems relies on their seamless operation and ability to handlefaults. Sensors, crucial components of these systems, gather data and contribute to their functionality. Therefore,sensor faults can compromise the system’s reliability and undermine the trustworthiness of smart *** address these concerns, various techniques and algorithms can be employed to enhance the performance ofIoT devices through effective fault detection. This paper conducted a thorough review of the existing literature andconducted a detailed *** analysis effectively links sensor errors with a prominent fault detection techniquecapable of addressing them. This study is innovative because it paves theway for future researchers to explore errorsthat have not yet been tackled by existing fault detection methods. Significant, the paper, also highlights essentialfactors for selecting and adopting fault detection techniques, as well as the characteristics of datasets and theircorresponding recommended techniques. Additionally, the paper presents amethodical overview of fault detectiontechniques employed in smart devices, including themetrics used for evaluation. Furthermore, the paper examinesthe body of academic work related to sensor faults and fault detection techniques within the domain. This reflectsthe growing inclination and scholarly attention of researchers and academicians toward strategies for fault detectionwithin the realm of the Internet of Things.

关键词： Error fault detection techniques sensor faults outliers Internet of Things

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Umami taste components in chicken-spices blends and potential effect of aroma on umami taste intensity

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Food Science and Human Wellness 2024年第3期13卷 1220-1230页

作者： rani Andaleeb Yiwen Zhu Ninglong Zhang Danni Zhang Muzahir Hussain Yin Zhang Yingshuang Lu Yuan Liu Department of Food Science&Technology School of Agriculture&BiologyShanghai Jiao Tong UniversityShanghai 200240China Tianjin Key Laboratory of Food Science and Health School of MedicineNankai UniversityTianjin 300071China MoBioFood Research Group Department of Biochemistry and BiotechnologyUniversitat Rovirai VirgiliTarragona 43007Spain Animal Nutrition Institut de Recercai Tecnologia Agroalimentàries(IRTA)Centre Mas BovéConstantí43120Spain Key Laboratory of Meat Processing of Sichuan Chengdu UniversityChengdu 610106China

In this study,umami taste intensity(UTI)and umami taste components in chicken breast(cB)and chickenspices blends were characterized using sensory and instrumental *** main objective was to assess the aroma-umami taste interactions in different food matrices and reconcile the aroma-taste perception to assist future product *** impact of key aroma,including vegetable-note"2-pentylfuran",meaty"methional",green"hexanal",and spicy-note-estragole and caryophyllene"on UTI was evaluated in monosodium glutamate and chicken *** found that spices significantly decreased UTI and umami taste components in ***,the perceptually similar odorants and tastants exhibited the potential to enhance UTI in food *** was able to increase the UTI,whereas spicy and green-note components could reduce the UTI *** information would be valuable to food engineers and formulators in aroma selection to control the UTI perceived by consumers,thus,improving the quality and acceptability of the chicken products.

关键词： chicken-spices blends Umami taste components Aroma-taste interactions Perceptual similarity Umami taste intensity

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Random Amplification Polymorphic DNA and Agro-Morphological Traits-Based Fingerprinting for Detection of Genetic Divergence in Indian Black Rice

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Rice science 2024年第4期31卷 366-370,I0004-I0014页

作者： Manisha SHARMA Dhananjay RATURI Vijay rani RAJPAL Manju cHAUDHARY Soom Nath RAINA Apekshita SINGH Amity Institute of Biotechnology Amity University Uttar PradeshSector-125UP 201313India Department of Botany Hansraj CollegeUniversity of DelhiDelhi 110007India

In this study, 32 black rice genotypes spanning diverse geographies in India were evaluated at both phenotypic and DNA sequence levels to gain insights into their genetic makeup. Significant variations were observed f... 详细信息

关键词： Indian Morphological Traits

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