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78 articles for “trustworthiness”
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Machine Learning Techniques Based on Sentiment Analysis for Drug Recommendation System
Abstract: A recommended system can help the user make sense of complex information and make well-considered choices. User-generated material is conveyed in human language in various nuanced ways, making it difficult to provide recommendations based on a study of attitudes. However, there has been a shortage of research devoted to health and medical concerns compared to more mainstream areas like product and media critiques and dining-out recommendations. Sentiment analysis (SA) of …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 83–94 Read article
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A Review on Estimation of Hb Percentage and Electrophoretic Pattern in Low Hb Count Cancer Patient
Abstract: Haemoglobin is a protein in the red blood cells that carry oxygen. Hb evaluation is a fast, valid and trustworthy method to detect blood deficiency. Direct cyanmethemoglobin has been the gold standard method for Hb estimation but there are many other methods available as well, for example, haemoglobin colour scale, Sahli method, Lovibond-Drabkin method, Tallqvist technique, copper sulphate method, HemoCue, automated haematology analysers and complete blood count to name a …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 1, 2023 · pp. 29–32 Read article
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BLOCKCHAIN-BASED DIGITAL ASSETS MANAGEMENT (CASE OF DECENTRALIZED AUTONOMOUS ORGANIZATIONS)
Abstract: The advent of Web 3.0 and the rise of decentralized applications (DApps) are reshaping the very fabric of the Internet. Gone are the days of centralized control, as Web 3.0 empowers users with greater privacy, security, and ownership over their data. Web 3.0 represents a paradigm shift from Web 2.0, which primarily relied on centralized platforms and intermediaries. The Blockchain technology is really important for the Web 3.0. It makes …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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Comparative Analysis of P, PI, and PID Controllers Based on Time Domain Specifications
Abstract: In this research, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers utilized in control systems are thoroughly compared. The study attentions on assessing system presentation with time-domain specifications such as rise time, settling time, overshoot, and steady-state error. Mathematical modeling and controller design are discussed, shadowed by analytical comparison. The results establish that while P and PI controllers offer simplicity, PID controllers provide superior performance in terms of stability and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction
Abstract: The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem. Conventional recommendation systems are usually run in black-box models that give minimal transparency and dynamicity to altered user preferences. The study will introduce a personalization framework of explainable machine learning (XML) based on explainable artificial intelligence (XAI) and hybrid recommendation strategies. The model uses Collaborative Filtering …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 23–32 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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A New Evaluation Index for Application of Machine Learning Algorithms to Determine Trust in Skewed Social Media Data
Abstract: In this paper we study the problem of accuracy paradox which arises on the application of machine learning algorithms for inference of trust in skewed social media data. Skewness is defined as the under representation of one class over another in a binary classification problem. We achieved our purpose of identifying the accuracy paradox problem in various algorithms by identifying a new evaluation index called predictive index. The dataset used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 49–57 Read article
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ROI based Enhanced Fragile Image Watermarking for Tamper detection
Abstract: Due to increased utilization of web and mixed media applications image watermarking is attaining more popularity. Image watermarking attaches supplementary data about host (original) image as logo/sound/video or content. The primary point of watermarking is to dispense data integrity, copyright assurance, ownership identification and content validation. Along with providing content validation and data integrity watermarking also prevents the content from being modified. The primary necessities of watermarking are security, capacity, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 3, 2018 · pp. 18–25 Read article
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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Performance and Security Testing of Mobile Applications using Service Virtualization
Abstract: In past few years, mobile applications are fetching more muscular and robust as they improved the way enterprise and technology get aligned with our lifestyle and daily use. Mobile applications remove the gap between technology and lifestyle. As the number of mobile applications blooms, its quality becomes more and more important issue of concern. The mobile application users anticipate the application to be more trustworthy and sheltered. Since classical testing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 1–4 Read article
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A Various Study of Tamper Detection and Forgery image : A Survey
Abstract: The fast and dynamic development in innovation dissolves the trust in the integrity of imagery. With the wide accessibility of digital technology and apparatuses, a few of influenced territories concerning digital world are modern photograph scams in media, political battles, military, and mold and media outlet. The fast rate at which the digital crimes are expanding has turned into a noteworthy concern, particularly in the courtroom. To provide food these …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 27–36 Read article
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WAF for Serverless Application Frameworks
Abstract: In today's digital landscape, where online presence is crucial for businesses and organizations, safeguarding web applications against a myriad of cyber threats has become a paramount concern. Enter the Web Application Firewall (WAF), a formidable fortress shielding these digital gateways from malicious intrusions and attacks. Its significance transcends mere technical jargon, as it serves as a sentinel, perpetually vigilant against sophisticated hacking techniques that can compromise sensitive data and disrupt …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 34–40 Read article
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Analyzing the Best Framework for Web Development
Abstract: Examine the field of World Wide Web (WWW) webpage development to provide a specific solution that can assist with the development cycle. Currently, web apps are extremely complicated and sophisticated software products, with user perception of application quality being one of the most important variables influencing the application's success or failure. Lately, design patterns in the framework of web conceptual modelling methodologies have been offered as a way to provide …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 1–7 Read article
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A Comprehensive Methodology for Data Security and Privacy in Cloud Computing Systems
Abstract: Cloud computing encompasses computing with a pool of virtualized computer resources. A cloud provides for self-recovering highly-scalable programming models, workloads to recover from hardware/software failures and rebalance allocations, can host different workloads and allows workloads to be deployed/scaled-out on-demand by rapid provisioning of virtual or physical machines. The idea is to move desktop computing to a service-oriented platform using server clusters and huge databases at data centers. Cloud computing has …
Published in Journal Of Network security · Vol. 2, Issue 2, 2014 · pp. 5–9 Read article
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Evaluating the Knowledge of COVID-19 and Its Effect on Psychosocial Outcomes Among University Students in Aligarh (Uttar Pradesh), India
Abstract: The COVID-19 pandemic, caused by the novel coronavirus (SARS-CoV-2) in 2019, originated in Wuhan, China, and rapidly became a global health crisis of unprecedented scale. There are benefits and drawbacks to living in the connected world of today, where the internet and social media significantly contribute to the dissemination of knowledge. On one hand, information can reach a large audience in a short time. On the other side, without trusted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 13, Issue 2, 2023 · pp. 1–10 Read article