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LSTM Based Neural Network Model for Anomaly Event Detection in Care-Independent Smart Homes

Computer Modeling in Engineering & Sciences 2024年第9期140卷 2689-2706页

作者： Brij B.gupta Akshat Gaurav Razaz Waheeb Attar Varsha Arya Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413TaiwanChina Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Computer Engineering Ronin InstituteMontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413TaiwanChina Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia School of Science and Technology Hong Kong Metropolitan University(HKMU)Hong KongChina

This study introduces a long-short-term memory(LSTM)-based neural network model developed for detecting anomaly events in care-independent smart homes,focusing on the critical application of elderly fall *** balances the dataset using the Synthetic Minority Over-sampling Technique(SMOTE),effectively neutralizing bias to address the challenge of unbalanced datasets prevalent in time-series classification *** proposed LSTM model is trained on the enriched dataset,capturing the temporal dependencies essential for anomaly *** model demonstrated a significant improvement in anomaly detection,with an accuracy of 84%.The results,detailed in the comprehensive classification and confusion matrices,showed the model’s proficiency in distinguishing between normal activities and *** study contributes to the advancement of smart home safety,presenting a robust framework for real-time anomaly monitoring.

关键词： LSTM neural networks anomaly detection smart home health-care elderly fall prevention

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Methyl-salicylate:A surveillance system fortriggering immunity in neighboring plants

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Journal of Integrative Plant Biology 2024年第2期66卷 163-165页

作者： Saumya Jaiswal Durgesh Kumar Tripathi Ravi gupta JingHe Zhong-Hua Chen Vijay Pratap Singh Plant Physiology Laboratory Department of Botany C.M.P.Degree CollegeA Constituent Post Graduate College ofUniversity of AllahabadPrayagraj 211002India Crop Nanobiology and Molecular Stress Physiology LabAmity Institute of Organic Agriculture Amity University UttarPradeshNoida 201313India College of General Education Kookmin UniversitySeoul 02707South Korea School of Science Western Sydney UniversitySydney 2751New South WalesAustralia Hawkesbury Institute for the Environment Western SydneyUniversitySydney 2751New South WalesAustralia

Plant behavioral actions have been one of the major topicsof research in plant biology and *** actionsfrom plants are determined by their instant structural andphysical reactions to the circumstances(Bouwmeester et al.,2019).Upon sensing abiotic factors such as salinity,flooding,high temperature,drought,plants make suitable changes intheir physiology and behavior to survive such harsh conditions.

关键词： immunity neighboring salinity

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Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

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Computers, Materials & Continua 2024年第8期80卷 3123-3138页

作者： Saket Sarin Sunil K.Singh Sudhakar Kumar Shivam Goyal Brij Bhooshan gupta Wadee Alhalabi Varsha Arya Chandigarh College of Engineering and Technology Chandigarh160019India Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Department of Computer Science Immersive Virtual Reality Research GroupKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut11022801Lebanon UCRD Chandigarh UniversityChandigarh140413India

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic *** in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading *** meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading *** AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital *** research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital ***,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

关键词： Neurodynamic Fintech multi-agent reinforcement learning algorithmic trading digital financial frontier

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SARS-CoV-2 and innate immunity:the good,the bad,and the"goldilocks"

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Cellular & Molecular Immunology 2024年第2期21卷 171-183页

作者： Benjamin L.Sievers Mark T.K.Cheng Kata Csiba Bo Meng Ravindra K.gupta Department of Medicine University of CambridgeCambridgeUK Cambridge Institute of Therapeutic Immunology&Infectious Disease(CITID) Department of MedicineUniversity of CambridgeCambridgeUk

An ancient conflict between hosts and pathogens has driven the innate and adaptive arms of *** about this interplay can not only help us identify biological mechanisms but also reveal pathogen vulnerabilities that can be leveraged *** humoral response to SARS-CoV-2 infection has been the focus of intense research,and the role of the innate immune system has received significantly less ***,we review current knowledge of the innate immune response to SARS-CoV-2 infection and the various means SARS-CoV-2 employs to evade innate defense *** also consider the role of innate immunity in SARS-CoV-2 vaccines and in the phenomenon of long COVID.

关键词： SARS-CoV-2 Innate immune response Interferon Cytokines Inflammation Antiviral targets

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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

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Geospatial and Statistical Analysis of Land Surface Temperature and Land Surface Characteristics of Jaipur and Ahmedabad Cities of India

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Journal of Geoscience and Environment Protection 2024年第8期12卷 1-19页

作者： Rupesh Kumar gupta Department of Continuing Education and Extension Faculty of Social Science University of Delhi Delhi India

Land surface temperature (LST) is a phenomenon that significantly affects the environment, the cities’ liveability, and the citizens’ well-being. This Study aims to perform a comparative study of the microclimate and Surface Urban Heat Island (SUHI) phenomenon of two metropolitan cities of India, i.e. Jaipur and Ahmedabad, using MODIS Satellite data, whereas Landsat Data was used to analyse the Land Surface Characteristics by an index-based approach. The Study’s findings reveal that Ahmedabad has 35.53 per cent of the total area classified as having a low potential, and 13.55 per cent is designated as a high potential LST zone. Meanwhile, in Jaipur, 30.45 per cent of the city’s total area is identified as a low potential LST zone and 12.69 per cent as a high potential LST zone. This Study highlights the importance of mitigating the UHI phenomenon in urban centres for the overall well-being of city dwellers. It will help policymakers and stakeholders comprehend plans and take initiatives to minimise the effects of the UHI phenomenon on rapidly growing cities. .

关键词： LST UHI Index-Based Approach Built-Up Remote Sensing GIS

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Optimized Phishing Detection with Recurrent Neural Network and Whale Optimizer Algorithm

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Computers, Materials & Continua 2024年第9期80卷 4895-4916页

作者： Brij Bhooshan gupta Akshat Gaurav Razaz Waheeb Attar Varsha Arya Ahmed Alhomoud Kwok Tai Chui Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPuneMaharashtra411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Ronin Institute MontclairNJ 07043USA Management Department College of Business AdministrationPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut1102Lebanon Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Electronic Engineering and Computer Science Hong Kong Metropolitan University(HKMU)HomantinHong KongChina

Phishing attacks present a persistent and evolving threat in the cybersecurity land-scape,necessitating the development of more sophisticated detection *** machine learning approaches to phishing detection have relied heavily on feature engineering and have often fallen short in adapting to the dynamically changing patterns of phishingUniformResource Locator(URLs).Addressing these challenge,we introduce a framework that integrates the sequential data processing strengths of a Recurrent Neural Network(RNN)with the hyperparameter optimization prowess of theWhale Optimization Algorithm(WOA).Ourmodel capitalizes on an extensive Kaggle dataset,featuring over 11,000 URLs,each delineated by 30 *** WOA’s hyperparameter optimization enhances the RNN’s performance,evidenced by a meticulous validation *** results,encapsulated in precision,recall,and F1-score metrics,surpass baseline models,achieving an overall accuracy of 92%.This study not only demonstrates the RNN’s proficiency in learning complex patterns but also underscores the WOA’s effectiveness in refining machine learning models for the critical task of phishing detection.

关键词： Phishing detection Recurrent Neural Network(RNN) Whale Optimization Algorithm(WOA) cybersecurity machine learning optimization

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Plant based metabolomics:a future prospective and versatile tool for metabolite databases of Curcuma longa

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未来食品学报(英文) 2024年第1期4卷 37-47页

作者： Shuvendhu gupta Amrat Pal Singh Gurpreet Singh Xianting Ding Alok Sharma Department of Pharmacognosy ISF College of PharmacyMoga 142001India Department of Pharmaceutical Chemistry ISF College of PharmacyMoga 142001India School of Biomedical Engineering Med-X Research InstituteShanghai Jiao Tong UniversityShanghai 200030China

Sophisticated analytical instruments are used for quality evaluation and scientific validation to compliance the Sophisticated analytical instruments are used for quality evaluation and scientific validation to compliance the market ***,increase in demand of Curcuma longa has led to a high swing in small and medium food *** present review is devoted to an in-depth information on metabolite database of *** from different analytical techniques such as high-performance thin-layer chromatography(HPTLC),liquid chromatography-mass spectrometry,gas chromatography-mass spectrometry and nuclear magnetic *** work highlights different extraction methods,phytochemistry along with structure activity relationship,nutritional profiling,market viability and pharmacology of *** bioactives of *** depends on various factors such as plants growth,temperature,humidity,soil type,collection,drying and extraction *** factors can contribute in quality evaluation of the food supplements if need to be *** introduction of omics approaches can helpful to explore the quality and identification of potential lead of *** results could play an essential role in the area of food-phyto based ***,metabolomics techniques may provide a analytical platfom by combination of different"omics"data souces for future esearch to food sand herbal based products.

关键词： Curcuma longa Omics approaches Multidisciplinary method Quality control Metabolomics

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Butorphanol in epidural:Could this be the breakthrough solution for safe and effective labor analgesia that we've been waiting for?

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World Journal of Clinical Cases 2024年第32期12卷 6566-6569页

作者： Anju gupta Brinda Valecha Nishkarsh gupta Department of Anesthesiology Pain Medicine and Critical CareAll India Institute of Medical SciencesNew Delhi 110076DelhiIndia Department of Anaesthesia All India Institute of Medical SciencesNew Delhi 110029India Department of Onco-Anesthesiology and Palliative Medicine All India Institute of Medical SciencesNew Delhi 110029India

The authors have conducted a comprehensive investigation into the safety and effectiveness of butorphanol for epidural analgesia during *** critical analysis of the paper and discussion of the technique's advantages a... 详细信息

关键词： Metanalysis Protocol Labor analgesia Labor pain

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Artificial intelligence and robotics in regional anesthesia

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World Journal of Methodology 2024年第4期14卷 13-17页

作者： Nitin Choudhary Anju gupta Nishkarsh gupta Department of Anesthesiology Pain Medicine and Critical CareAll India Institute of Medical SciencesNew Delhi 110029DelhiIndia Department of Onco-Anesthesiology and Palliative Medicine All India Institute of Medical SciencesNew Delhi 110029DelhiIndia

Artificial intelligence(AI)technology is vital for practitioners to incorporate AI and robotics in day-to-day regional anesthesia *** literature is encouraging on its applications in regional anesthesia,but the data are *** can help us identify and guide the needle tip precisely to the *** may help us reduce the time,improve precision,and reduce the associated side effects of improper distribution of *** this article,we discuss the potential roles of AI and robotics in regional anesthesia.

关键词： Artificial intelligence Robotics Regional anesthesia Ultrasound Anesthesia

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