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366 articles for “person identification”
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Interpretive Structural Modelling (ISM) for Prioritization of Green Supply Chain Indicators
Abstract: AbstractPurpose: Today the innovative tool used for enhancing the efficiency of Supply Chain Management is Green Supply Chain Management (GSCM). This paper aims to identify and rank the major indicators and sub-indicators that help achieve successful implementation of Green Supply Chain Management (GSCM) in Indian Manufacturing Industries. Design/Methodology/Approach: Interpretive Structural Modelling (ISM) is used to identify indicators, which have been identified through literature review and experts’ opinions from industry person …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 1, 2019 · pp. 39–54 Read article
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Screening and Biochemical Identification of Diarrhea Causing Bacteria from Food Sample
Abstract: In adults, diarrhea is a very frequent symptom. Sick person who has experienced diarrhea for betterm than infrequent daytimes or who have concomitant agitation, prostration, or rectal bleeding are additional possible to seek medical help. The majority of patients may be treated as outpatients with success. Gastroenteritis, on the other hand, is responsible for about 450,000 hospital admissions each year (1.5 percent of adult hospitalizations). Regular diarrhea (fluid stools for …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 12, Issue 3, 2022 · pp. 19–29 Read article
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Key Performance Indicators for Personnel Performance Appraisal System in Construction Industry
Abstract: Personnel Performance Appraisal (PPA) is a systematic process to evaluate and measure the performance of employees and to assist them to improve their job performance and contribute to overall organizational performance. Project success is measured from individual performance to organizational performance. To achieve organizational goals, which in turn influences an individual performance; it is necessary to identify key performance indicators. This paper explores identification and assessment of key performance indicators …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 39–44 Read article
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Accident Identification And Alerting System Using MSP430
Abstract: The "Accident Identification and Alerting System using MSP430" is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle's movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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21st Century Cognitive Landscapes: Integrating ICT-Driven Pedagogies for Holistic, Inclusive Education
Abstract: The rapid advancement of Information and Communication Technology (ICT) has revolutionized digital pedagogies, reshaping modern education by improving accessibility, learner engagement, and academic outcomes. This review critically explores the psychological ramifications of digital learning environments while assessing the effectiveness of ICT tools in fostering inclusive and sustainable education. By integrating insights from contemporary research, this paper examines the impact of digital pedagogies on cognitive function, emotional health, and social interactions …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 75–81 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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A Vital Role of Big Data in Education System: A Review
Abstract: Big data is used in a variety of fields, and we investigate how big data is used in education. The research literature on big data in education from 2010 to 2020 is reviewed, followed by an analysis of big educational data mining techniques, tools, and applications. Using these applications, this study investigates the idea of improving the educational process. Two methods are used to validate the educational process in order …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 13–21 Read article
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Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
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Monitoring and Forecasting in Construction Projects Using Time Buffer
Abstract: The key to project management is effective performance monitoring and forecasting. The existing methods using input- output cash flow, earned value, etc. do not differentiate between work done on the critical path and work done on non-critical paths. Such methods mask the real situation and mislead the project team because progress on one path often compensate for the delay in other. The paper proposes a more effective method to facilitate …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 9–16 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Early Disease Detection Using Artificial Intelligence
Abstract: Growth in artificial intelligence and machine learning now make it possible for the healthcare sector to be totally transformed by a new chapter, particularly in the era of medical image analysis. This study focuses on harnessing these advancements to develop a sophisticated model for early disease detection across diverse medical domains, majorly in skin disease. By integrating diverse datasets and leveraging advanced algorithms, our methodology aims to identify subtle disease …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 11–19 Read article
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A Novel Technique Reduce Image Encryption And Decryption Time With Using Parallel Processing
Abstract: Electronic commerce commonly known as e-commerce, trade in products using the internet. Security at the e-commerce becomes more and more important. For example, if you pay through the internet you want to be sure, that nobody can get your payment information. To prevent the misuse of personal data in the field of online banking. Public key biometric identification is a sequence of bytes used to authenticate, biometric identifications are built …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 3, 2015 · pp. 27–34 Read article
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A Literature Survey of Hand Geometry-based Verification System
Abstract: In security system, identification and verification are the immense important activities to access information or data in coming decade. In recent year, password is not a sufficient key to protect the vital information from unauthorized person or organization. So it becomes vital threaten for coming years to develop a system where biometric identification and verification must be introduced. Hand geometry recognition system is one of the biometric identification systems that …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 35–42 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Deep Guard: A Comprehensive Deep Learning System for Unmasking Suspicious Activities in Surveillance Footage
Abstract: These days, video surveillance is quite vital. Technology has evolved considerably as machine learning, artificial intelligence, and deep learning become increasingly widespread. There are several algorithms that assist in identifying distinct kinds of suspicious behaviour from live footage by combining the techniques. A person's behaviour is the most unpredictable thing, and it can be quite challenging to determine whether it is normal or suspicious. Video surveillance is automated to address …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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A Study on Risk Factors of Hypertension among Employees of Nuclear Fuel Complex
Abstract: The objective of this study is to find out an association between hypertension and some risk factors like overweight/obesity, excess salt intake, smoking, physical inactivity, etc. A retrospective study was conducted among the recorded hypertensive employees of NFC plant, Hyderabad to identify various risk factors among the subjects. Out of 510 diagnosed hypertensive persons on record, 100 persons were selected by systematic random sampling technique. Controls were selected from non-hypertensive …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 1, Issue 2, 2011 · pp. 1–7 Read article
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Pharmacology of Migrain
Abstract: Migraine is too an explosive headache that influence nearly 10% of grown person on all sides. The society migraine is an ordinary cerebral sickness identify with a repeated headache frequently go along with by vomiting, phonophobia and nausea. Migraine impact an evaluate more than 10% of human beings pandemic, occurs most of ten included in human beingaged 20 to 50 years& it about a times -day to day in female …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 12, Issue 1, 2022 · pp. 28–36 Read article
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New-Age E-voucher Utility: Redefining Peer-to-Peer Transactions in the Digital Economy
Abstract: This system introduces an innovative new-age e-voucher utility designed to facilitate peer-to-peer (P2P) intake through a person-pleasant cell platform. This revolutionary answer empowers people to create and list e-vouchers for numerous services, experiences, or bodily goods, circumventing conventional channels and fostering an extra direct financial machine. Operating on a decentralized architecture, the utility guarantees stable transactions through fee gateways and contains a recognition machine to set up acceptance as true …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 36–46 Read article