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Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

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Journal of Safety Science and Resilience 2024年第1期5卷 91-101页

作者： Sachin Dhawan Hemanta kumar Bhuyan Subhendu kumar Pani Vinayakumar Ravi Rashmi Gupta arun Rana Alanoud Al Mazroa Dorset College King George BlvdSurreyBritish ColumbiaCanada Department of Information Technology Vignan’s Foundation for ScienceTechnology and Research(Deemed to be University)Andhra PradeshIndia krupajal Computer Academy Biju Patnaik University of Technology(BPUT)Rourkela 751002India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia NSUT East Campus(Formerly AIACTRDelhi 110031India(Affiliated to Guru Gobind Singh Inderaprastha University))Dwarka 110078India Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida 201310Uttar PradeshIndia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia

The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as ***,this progress has also led to security concerns related to the transmission of confidential ***,safeguarding these data during communication through insecure channels is crucial for obvious *** emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation *** to the proposed method,a hybrid fuzzy neural network(HFNN)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification *** simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual *** the experiments,we observed that for the secret image of the cameraman,the PSNR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively.

关键词： Image enhancement Image processing Steganography Deep learning Fuzzy neural combination

Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 409-430页

作者： Zhuoqun Xia Hangyu Hu Wenjing Li Qisheng Jiang Lan Pu Yicong Shu arun kumar Sangaiah School of Computer and Communication Engineering Changsha University of Science and TechnologyChangshaChina Hunan Province People’s Hospital(The First Affiliated Hospital of Hunan Normal University) ChangshaChina The First Affiliated Hospital of Guangxi Medical University NanningChina International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinChina Department of Electrical and Computer Engineering Lebanese American UniversityBayrutLebanon

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible *** research has failed to fully explore effective DR lesion information in fundus ***,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion ***,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis ***,the LLM generates a global attention map based on ***,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion *** paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

关键词： DDR dataset diabetic retinopathy lesion localization multi-level patch attention mechanism

Stroke depression:a concept with clinical applicability

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Stroke & Vascular Neurology 2024年第3期9卷 189-193页

作者： Jun Mu arun V Ravindran Pim Cuijpers Yiqing Shen Wensong Yang Qi Li Xinyu Zhou Peng Xie Department of Neurology The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina Campbell Family Mental Health Research Centre Centre for Addiction and Mental HealthDepartment of PsychiatryUniversity of TorontoTorontoOntarioCanada Department of Clinical Neuro and Developmental PsychologyAmsterdam Public Health research instituteVrije Universiteit AmsterdamAmsterdamThe Netherlands NHC key Laboratory of Diagnosis and Treatment on Brain Functional Diseases The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina Department of Psychiatry The First Affiliated Hospital of Chongqing Medical UniversityChongqingChina

Stroke is a common neurological condition and among the leading causes of death and disability *** is both a risk factor for and complication of stroke,and the two conditions may have a complex reciprocal relationship over ***,the secondary effects of depression on stroke are often overlooked,resulting in increased morbidity and *** the previous concept of‘poststroke depression’,stroke and depression were considered as two independent *** often delays the diagnosis and treatment of *** concept‘stroke depression’proposed in this article will emphasise more the necessity of aggressive treatment of depression in the overall management of stroke,thus to reduce the incidence of stroke and in the meantime,improve the prognosis of ***,it will lead us into a new era of acute stroke intervention.

关键词： diagnosis mortality acute

Chatbots:a critical look into the future of the academia

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International Journal of Agricultural and Biological Engineering 2024年第2期17卷 287-288页

作者： Samuel Ariyo Okaiyeto arun S.Mujumdar Parag Prakash Sutar Wei Liu Junwen Bai Hongwei Xiao College of Engineering China Agricultural UniversityBeijing 100083China Department of Bioresource Engineering McGill UniversitySte.Anne de BellevueQuebecCanada Department of Food Process Engineering National Institute of Technology RourkelaRourkela 769008India School of Artificial Intelligence Beijing University of Posts and TelecommunicationsBeijing 100876China School of Food and Biological Engineering Jiangsu UniversityZhenjiang 212013China

Like every other societal domain,science faces yet another reckoning caused by a bot called ChatGPT(Chat Generative Pre-Trained Transformer).ChatGPT was introduced in November 2022 to produce messages that seem like they were written by humans and are *** the release of the latest version of ChatGPT called GPT-4,and other similar models such as Google Bard,Chatsonic,Collosal Chat,these chatbots combine several(about 175 billion)neural networks pre-trained on large Language Models(LLMs),allowing them to respond to user promptings just like ***-4 for example can admit its mistakes and confront false assumptions thanks to the dialogue style,which also enables it to write essays and to keep track of the context of a discussion while it is ***,users may be deceived by the human-like text structure of the AI models to believe that it came from a human origin[1].These chatbot models could be better,even though they generate text with a high level of ***,they produce inappropriate or wrong responses,resulting in faulty inferences or ethical *** article will discuss some fundamental strengths and weaknesses of this Artificial intelligence(AI)system concerning scientific research.

关键词： ChatGPT AI generative models academia ethical and moral restraints

Mechanism of microbial spore inactivation through electromagnetic radiations:a review

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Journal of Future Foods 2024年第4期4卷 324-334页

作者： Piyush Sharma arun Prasath Venugopal Parag Prakash Sutar Hong-wei Xiao Qi Zhang Deparment of Food Process Engineering.National Institute of Techmology Rourkela Odisha 769008India College of Engineering China Agriculural UniversityBeijing 100083China School of Mechanical Engineering Yangzhou UTniversiny Yangzhou 225002China

Spores are the biological structures formed out of sporulation from vegetative cells in adverse *** tolerant to many extreme environment and conditions,they escape and survives critical processing steps in the food industry that poses food and health safety problems,as is evident from the increase in reports of food-bome outbreaks due to *** radiation(EM)is used for rapid decontamination and sterilization purposes in the food *** studies have reported a greater reduction in spore population upon irradiation with EM rays due to its impact on genomic material and other components of spores that destabilises overall structue and brings clonogenic death However,there is scattered literature regarding the mechanism of its inactivation and resistance against such *** review attempts to concisely evaluate the potential of electromagnetic radiations in spore inactivation and details its mechanism through a collective study of scientific results and *** also briefs about the process of sporulation,the structure of spores and the role of its components in the resistance of spores to *** studies,which demonstrated that combining various EM treatments might be an effective way for inactivation of spores,were discussed in detail.

关键词： Spore structure Electromagnetic radiations Mechanism of inactivation Damage resistance

Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh

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Data Intelligence 2024年第3期6卷 834-868页

作者： M.Raihan Sami Azam Laboni Akter Md.Mehedi Hassan Ryana Quadir Asif karim Saikat Mondal arun More Department of Computer Science and Engineering North Western UniversityKhulna 9100Bangladesh Faculty of Science and Technology Charles Darwin UniversityNT 0909Australia Departmentof Biomedical Engineering Khulna University of Engineering&TechnologyKhulnaBangladeh Computer Science and Engineering Discipline Khulna UniversityKhulna 9208Bangladesh Department of Computer Science and Engineering Daffodil International University(DIU)Bangladesh Department of Cardiology Ter Institute of Rural Health and ResearchMurud-413510India

Ischemic heart disease(IHD)is one of the leading causes of death ***,different geographic regions show different variations of the risk factors of this disease based on the different lifestyles of *** study examines the current IHD condition in southern Bangladesh,a Southeast Asian middle-income *** main approach to this research is an Al-based proposal of a reduced set of the greatest impact clinical traits that may cause *** approach attempts to reduce IHD morbidity and mortality by early detection of risk factors using the reduced set of clinical ***,diagnostic,and symptomatic features were considered for analysing this clinical *** pre-processing utilizes several machine learning techniques to select significant features and make meaningful interpretations.A proposed voting mechanism ranked the selected 138 features by their impact *** this regard,diverse patterns in correlations with variables,including age,sex,career,family history,obesity,etc.,were calculated and explained in terms of voting *** the 138 risk factors,three labels were categorized:high-risk,medium-risk,and low-risk features;19 features were regarded as high,25 were medium,and 94 were considered low impactful *** research's technological methodology and practical goals provide an innovative and resilient framework for addressing IHD,especially in less developed cities and townships of Bangladesh,where the general population's socioeconomic conditions are often *** data collection,pre-processing,and use of this study's complete and comprehensive IHD patient dataset is another innovative *** believe that other relevant research initiatives will benefit from this work.

关键词： Ischemic heart disease Machine learning CVD Data categorization Medical data

Bilateral nephrolithiasis and upper tract transitional cell carcinoma in horseshoe kidney

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Current Urology 2024年第3期18卷 247-249页

作者： Jacob M.Gaines Eric J.Macdonald arun Rai David Hoenig Arthur Smith Zeph Okeke Tareq Aro The Smith Institute for Urology Donald and Barbara Zucker School of Medicine at Hofstra/NorthwellLake SuccessNYUSA

Nephroureterectomy is currently the criterion-standard treatment for high-grade upper tract urothelial carcinoma(UTUC).Current guidelines and expert opinions propose some exceptions to this approach based on patient characteristics,disease status,and function of the contralateral *** present a rare case of a patient with horseshoe kidney,bilateral large nephrolithiasis,high-grade UTUC in one moiety,and relative parenchymal thinning of the contralateral *** patient was treated with a percutaneous,minimally invasive,nephron sparing *** patient also had intracollecting system instillations of gemcitabine and *** invasive percutaneous resection of high-grade UTUC is a safe procedure in select *** guidelines may not apply to all patients;unique scenarios with UTUC may require personalized decision-making and treatment at specialized centers.

关键词： Upper tract urothelial cancer Percutaneous resection Horseshoe kidney Nephrolithiasis

Old-growth mixed dipterocarp forests show variable losses and gains in aboveground biomass and standing carbon over forty years

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Forest Ecosystems 2024年第1期11卷 14-23页

作者： Sisira Ediriweera Champika Bandara Tithira Lakkana Shanika Jayasinghe David Woodbury arun Dayanandan B.M.P.Singhakumara Xiangcheng Mi I.A.U.N.Gunatilleke C.V.S.Gunatilleke Mark SAshton Department of Science and Technology Uva Wellassa UniversityBadullaSri Lanka The Forest School Yale School of the EnvironmentYale UniversityNew HavenCT06511USA Department of Forestry and Environmental Science University of Sri JayewardenepuraNugegodaSri Lanka State key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing100093China Botany Department University of PeradeniyaPeradeniyaSri Lanka

Background:No studies have documented long-term trends in aboveground biomass(AGB)for mixed-dipterocarp forests(MDF),the dominant rain forest type in tropical wet equatorial *** our study,we sought to document such trends over forty years across three sites representing lowland to lower montane ***:To do this,we established fifty 100 m×25 m plots in 1978 across three sites sampled along an elevation gradient,identified as mature old-growth *** measured trees for diameter at breast height that we identified to species and *** took wood samples to calculate species wood-specific *** re-measured plots in 1998 and again in ***:We show standing AGB for all sites combined to be 517.52 Mg·ha^(-1)in 1978,but this declined by 17%over 40 years to 430.11 Mg·ha^(-1).No differences exist among sites in AGB primarily because of considerable within site variation;but interactions of time with site show declines across sites were not uniform,one remained about the *** few species represented a high proportion of the AGB with the top five species comprising between 34%and 65%,depending upon site and year *** species,Mesua nagassarium,represented a disproportionately large amount of AGB and decline over time,particularly at the low elevation ***:Our results are directly relevant to estimating AGB and standing carbon sequestered in *** study is the first to demonstrate varying but overall,declining trends in amounts of AGB among forests making predictions of biomass and standing carbon in MDF difficult over wide regions.

关键词： Western ghats Shorea spp. Southeast Asia Sri Lanka Tropical rain forest Wood specific gravity

Spatial and Contextual Path Network for Image Inpainting

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Intelligent Automation & Soft Computing 2024年第2期39卷 115-133页

作者： Dengyong Zhang Yuting Zhao Feng Li arun kumar Sangaiah Hunan Provincial key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinTaiwan Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Image inpainting is a kind of use known area of information technology to repair the loss or damage to the *** feature extraction is the core of image *** enough space for information and a larger receptive field is very important to realize high-precision image ***,in the process of feature extraction,it is difficult to meet the two requirements of obtaining sufficient spatial information and large receptive fields at the same *** order to obtain more spatial information and a larger receptive field at the same time,we put forward a kind of image restoration based on space path and context path *** the space path,we stack three convolution layers for 1/8 of the figure,the figure retained the rich spatial *** the context path,we use the global average pooling layer,where the accept field is the maximum of the backbone network,and the pooling module can provide global context information for the maximum accept *** order to better integrate the features extracted from the spatial and contextual paths,we study the fusion module of the two *** fusionmodule first path output of the space and context path,and then through themass normalization to balance the scale of the characteristics,finally the characteristics of the pool will be connected into a feature vector and calculate the weight *** of images in order to extract context information,we add attention to the context path refinement *** modules respectively from channel dimension and space dimension to weighted images,in order to obtain more effective *** show that our method is better than the existing technology in the quality and quantity of themethod,and further to expand our network to other inpainting networks,in order to achieve consistent performance improvements.

关键词： Image inpainting attention deep learning convolutional network