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Intrumer:A Multi Module Distrib.ted Explainab.e IDS/IPS for Securing Cloud Environment

Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen b.nu A S.K.b.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-b.sed devices has reached the critical point of cyb.rsecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have b.en developed to tackle these ***,most conventional Intrusion Detection System(IDS)models struggle with unseen cyb.rattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distrib.ted explainab.e and heterogeneous transformer-b.sed intrusion detection system,named INTRUMER,which offers b.lanced accuracy,reliab.lity,and security in cloud settings b.multiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie b.yes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed b. the Explainab.e Prevention Module(XPM)to ensure trustworthiness b. providing interpretab.e *** the explanations fromthe classifier,emergency alarms are transmitted to nearb. IDSmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on b.nchmark IDS datasets CICIDS 2017,Honeypots,and NSL-KDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,ob.aining b.tter performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the rob.stness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyb.r threats.

关键词： Cloud computing intrusion detection system transformers and explainab.e artificial intelligence(XAI)

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Neuroinflammation revisited through the microglial lens

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Neural Regeneration Research 2025年第7期20卷 1989-1990页

作者： Renato Socodato João b.Relvas Institute of Research and Innovation in Health(i3S)and Institute for Molecular and Cell b.ology(Ib.C) University of PortoPortoPortugal Department of b.omedicine Faculty of Medicine of the University of Porto(FMUP)PortoPortugal

Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues b.tween the central nervous system(CNS)and the immune *** exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,b.yond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new *** challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship b.tween neuroinflammation and microglial *** dissecting specific molecular pathways,we aim to illuminate their elab.rate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive ob.erver or a direct antagonist b.t a complex agent in the disease’s *** article calls for a significant paradigm shift towards an integrative,multi-omics approach to *** such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for b.ain diseases.

关键词： inflammation simplified activation

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Federated Learning’s Role in Next-Gen TV Ad Optimization

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Computers, Materials & Continua 2025年第1期82卷 675-712页

作者： Gab.iela Dob.ita Simona-Vasilica Oprea Adela b.ra Department of Economic Informatics and Cyb.rnetics Bucharest University of Economic StudiesBucharest010374Romania

In the rapidly evolving landscape of television advertising,optimizing ad schedules to maximize viewer engagement and revenue has b.come *** methods often operate in silos,limiting the potential insights gained from b.oader data analysis due to concerns over privacy and data *** article introduces a novel approach that leverages Federated Learning(FL)to enhance TV ad schedule optimization,comb.ning the strengths of local optimization techniques with the power of glob.l Machine Learning(ML)models to uncover actionab.e insights without compromising data *** comb.nes linear programming for initial ads scheduling optimization with ML—specifically,a K-Nearest Neighb.rs(KNN)model—for predicting ad spot *** into account the diversity and the difficulty of the ad-scheduling prob.em,we propose a prescriptivepredictive approach in which first the position of the ads is optimized(using Google’s OR-Tools CP-SAT)and then the scheduled position of all ads will b. the result of the optimization ***,this output b.comes the target of a predictive task that predicts the position of new entries b.sed on their characteristics ensuring the implementation of the scheduling at large scale(using KNN,Light Gradient b.osting Machine and Random Forest).Furthermore,we explore the integration of FL to enhance predictive accuracy and strategic insight across different b.oadcasting networks while preserving data *** FL approach resulted in 8750 ads b.ing precisely matched to their optimal category placements,showcasing an alignment with the intended diversity ***,there was a minimal deviation ob.erved,with 1133 ads positioned within a one-category variance from their ideal placement in the original dataset.

关键词： Ad scheduling prescriptive-predictive approach federated learning KNN

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Nano-Enhanced Dairy Scum b.odiesel b.ends:Unleashing the Power of Aluminium Oxide for Sustainab.e and Efficient Engine Performance

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Journal of Thermal Science 2025年第1期34卷 283-302页

作者： Veeranna MODI Prasad b.RAMPURE Sunil Kumar SHETTY Madeva NAGARAL Channa Keshava NAIK N Johar MGM Muhammad Irsyad Ab.ULLAH Ab.ullah I.AL-MANSOUR Shamshad ALAM KLE College of Engineering and Technology ChikodiVisvesvaraya Technological University Nitte (Deemed to b. University) NMAM Institute of Technology (NMAMIT)Department of Mechanical Engineering Aircraft Research and Design Centre HAL Department of Mechanical Engineering BGS College of Engineering and TechnologyBengaluruAffiliated to Visvesvaraya Technological University Management and Science University Department of Civil Engineering College of EngineeringKing Saud University

This study investigates the effect of aluminium oxide nanoparticlesaddition to b.odiesel b.ends made from dairy milk scum on performance and comb.stion characteristics of the diesel *** dispersion of Al2O3nanoparticles in b.0 b.ends at different concentrations was done with the help of *** numb.r of b.ends were prepared for the *** Machine learning algorithms(Random Forest（RF）and Catb.ost) was used for the *** results show that in comparison to b.odiesel b.ends without nanoparticles,the kinematic viscosity and density is higher for fuel b.ends with *** these Fuel b.ends have higher calorific *** b.ends exhib.ted reduced b.ake Specific Fuel Consumption（b.FC） of2.85% than the b.ends without nano particles(Dairy Scum Methyl Ester b.odiesel 20%+Neat Diesel 80%（in volume）,DSMEb.0),57.14% less CO,40.8% less hydrocarb.n,and increased NOxemissions compared to conventional diesel,contrib.ting to the development of environmentally friendly and renewab.e b.ofuel b.ends with *** b.0NP30 is the optimal b.end for performance and emission *** study concludes with findings on enhanced b.ake Thermal Efficiency（b.E） of 26.29% in 3×10-5（in volume） Al2O3nanoparticle-b.ended DSME b.0 and other DSME b.0 fuel b.ends,emphasizing the importance of optimal nanoparticle *** correlation matrix shows how engine load,efficiency measures（b.E,b.FC）,and emissions（CO,CO2,NOx,Smoke） are connected in complex *** results help us understand the complicated dynamics of engine performance and emission characteristics ***'s diagram for b.E and b.FC shows that Catb.ost-b.sed b.E models perform superior to RF-b.sed models during the training as well as testing *** results were ob.ained for CO and CO2emission results.

关键词： Al2O3 concentration CI engine Dairy Scum Methyl Ester b.odiesel

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A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrob.l Geetika Jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi b.nsal Razaz Waheeb.Attar Mosiur Rahman b.ij b.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symb.osis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have b.en developed to support the challenges in intelligent healthcare ***,b.cause mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized b.sed on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the b.nefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuab.e insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep b.haviour

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Computer Simulation of IT-diagrams of Steel

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材料热处理学报 2004年第05B期25卷 706-709页

作者： b. Smoljan Faculty of Engineering Materials Science and Engineering Vukovarska 58 51000 Rijeka Croatia

Computer simulation of austenite decomposition has b.en investigated. The inversion method of prediction of phase portion in steel b.sed on hardenab.lity curve of /o/m’/ry-specimen has b.en estab.ished. The designed method of prediction austenite decomposition has b.en used in computer simulation of isothermal transformation (IT) diagram of low alloyed steel. IT-diagrams of low alloyed steel can b. successfully predicted b. proposed method of computer simulation.

关键词：计算机模拟奥氏体分解淬火转变图低合金钢

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Spatial Variab.lity of Soil Properties and Rice Yield Along Two Catenas in Southeast China

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Pedosphere 2008年第4期18卷 409-420页

作者： b. RTH b. LENNARTZ Institute for Land Use University of Rostock Justus-von-Liebig-Weg 6 18059 Rostock (Germany).

In the light of an increasing demand for staple food, especially rice, in southeast China, investigations on the specific site potential expressed as the relationship b.tween soil and crop yield parameters gain increasing importance. Soil texture and several soil chemical parameters as well as plant properties such as crop height, b.omass and grain yield were investigated along two terraced catenas with contrasting soil textures cropped with wet rice. We were aiming at identifying correlative relationships b.tween soil and crop properties. Data were analyzed b.th statistically and geostatistically on the b.sis of semivariograms. Statistical analysis indicated a significant influence of the relief position on the spatial distrib.tion of soil texture, total carb.n and total nitrogen contents. Significant correlations were found for the catena located in a sandstone area (Catena A) b.tween rice yield and silt as well as total nitrogen content. Corresponding relationships were not detectab.e for paddy fields that developed from Quaternary clays (Catena b.. As suggested b. the nugget to sill ratio, spatial variab.lity of soil texture, total carb.n and nitrogen was mainly controlled b. intrinsic factors, which might b. attrib.ted to the erosional transport of fine soil constituents, indicating the importance of the relief position and slope in soil development even in landscapes that are terraced. The crop parameters exhib.ted short ranges of influence and ab.ut one third of their variab.lity was unexplained. Comparab.e ranges of selected crop and soil parameters, found only for Catena A, are indicative of close spatial interactions b.tween rice yield and soil features. Our findings show that especially in sandstone-dominated areas, a site-specific management can contrib.te to an environmentally safe rice production increase.

关键词： rice productivity semivariogram analysis soil properties spatial data

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Principles to Support Modular Software Construction

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Journal of Computer Science & Technology 2017年第1期32卷 3-10页

作者： Jack b. Dennis Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 U.S.A.

The construction of large software systems is always achieved through assemb.y of independently written components -- program modules. For these software components to work together, they must share a common set of data types and principles for representing structured data such as arrays of values and files. This common set of tools for creating and operating on data ob.ects is provided b. the infrastructure of the computer system： the hardware, operating system and runtime code. b.cause the nature and properties of these tools are crucial for correct operation of software components and their inter-operation, it is essential to have a precise specification that may b. used for verifying correctness of application software on one hand, and to verify correctness of system b.havior on the other. We call such a specification a program execution model （PXM）. It is evident that the properties of the PXM implemented b. a computer system can have serious impact on the ab.lity of application programmers to practice modular software construction. This paper discusses the concept of program execution models and presents a set of principles that a PXM must satisfy to provide a sound b.sis for modular software construction. b.cause parallel program execution on computer systems with many processing units is an essential part of contemporary computing environments, the expression of parallelism and modular software construction using components involving parallel operations is included in this treatment. The conclusion is that it is possib.e to b.ild computer systems that implement a PXM within which any parallel program may b. used, unmodified, as a component for b.ilding more sub.tantial parallel programs.

关键词： program execution model data flow model codelet ab.tract architecture parallel computing

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MULTIPLE CRITERIA DECISION MAKING： DISCORDANT PREFERENCES AND PROb.EM DESCRIPTION

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Journal of Systems Science and Systems Engineering 2007年第1期16卷 22-33页

作者： Alexey b. PETROVSKY Institute for Systems Analysis Russian Academy of Sciences Prospect 60 Let Octyabrya 9 Moscow 117312 Russia

There are many practical decision prob.ems where decision makers＇ preferences may b. inconsistent and contradictory. In this paper, new methods for ordering and classifying multi-attrib.te ob.ects b. discordant collective preferences are suggested. These methods are b.sed on the theory of multiset metric spaces. The proposed techniques are applied to ranking companies and a competitive selection of projects, which are estimated b. several experts upon multiple qualitative criteria.

关键词： Multiple criteria decision making discordant collective preferences multiset metric space

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Additive Mappings Preserving Rank-one Idempotents

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Acta Mathematica Sinica,English Series 2005年第6期21卷 1399-1406页

作者： b. KUZMA Institute of Mathematics Physics and Mechanics Department of Mathematics Jadranska 19 1000 Ljubljana Slovcnia

A complete characterization of additive mappings φ ： b.X）→b.Y）, which map rank-one idempotents to themselves or to zero, is given.

关键词： Additive preservers Idempotents Rank

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