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39 articles for “privacy aware”
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Energy-Efficient Parallel Computing for Edge Devices: Techniques, Challenges, and Emerging Research Directions
Abstract: Edge computing brings computation closer to data sources, which supports low-latency applications but places substantial demands on energy-constrained and heterogeneous devices. Parallel execution across multicore CPUs, GPUs, FPGAs, and other accelerators can improve responsiveness, but it also complicates scheduling, power management, and resource allocation. This review examines six closely related technique families: energy-aware task scheduling, dynamic voltage and frequency scaling (DVFS), task offloading and resource allocation, artificial-intelligence-based optimization, hardware acceleration, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 35–41 Read article
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Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
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Elevating Security in IoT Cloud Fusion: Challenges and Remedies
Abstract: The integration of internet of things (IoT) devices and cloud computing platforms, known as IoT cloud fusion, enables powerful new applications but also poses significant security risks. This paper provides a comprehensive analysis of the security challenges in IoT cloud fusion and emerging remedies to elevate protection. We assess key threats around data privacy, authentication, integrity, scalability, and interoperability through a systematic literature review methodology. Encryption, access controls, blockchain, and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 41–55 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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A Roadmap to Digital Path: Empowering College Students in Cybersecurity
Abstract: A cybersecurity area that focuses on college students, digital citizens of our time, who play an important role in determining the future of cybersecurity. It focuses on the unique challenges college students face, from identity theft to cyber and sensitive data security. This report examines best practices and methods for building college students’ online barriers and underscores the need for digital literacy, literacy, and personal responsibility in an era of …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 30–39 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article
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IoT Security: Issues, Best Practices, and Open Challenges
Abstract: The internet of things (IoT) provides the facility to connect different devices and communicate and share information over the internet. IoT has emerged as a transformative and pervasive technological paradigm, revolutionizing how we interact with our environment and infusing intelligence into everyday objects and devices. This interconnected ecosystem has unleashed a wave of innovative applications across diverse domains, including healthcare, transportation, agriculture, industrial automation, and smart cities. However, as the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 7–13 Read article
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Analysis of Security in Cloud Computing
Abstract: These days, cloud computing is expanding quickly in the IT sector, offering a fresh approach to managing various information systems. The rapid pace of technological advancement highlights the importance of embracing and leveraging its advantages. Organizations transitioning to cloud-based information archiving demonstrate several key characteristics. These include enhanced IT infrastructure, the ability to manage remote access from any location in the world with a stable Internet connection, and the cost …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 35–40 Read article
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3D-Animated Digital Twins in the Metaverse: Security Challenges, Ethical Risks, and Societal Implications
Abstract: Metaverse is emerging as an immersive digital space where users interact through virtual environments. Within this space, 3D-animated digital twins act as virtual representations of real individuals, objects, and systems, enabling interaction, simulation, and presence beyond physical boundaries. While these digital replicas provide significant opportunities for engagement and innovation, they also raise critical security and ethical concerns. Security vulnerabilities can lead to identity misuse, impersonation, and unauthorized access, threatening personal …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 11–19 Read article
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Speech-Text-Speech Translator: A Generative AI Framework for Real-Time, Identity-Preserving S2S Translation
Abstract: Different languages have been proved a great obstacle to global communication despite the internet's role in allowing information sharing all over the world. While presenting an extensive number of current solutions, traditional Machine Translation (MT) systems are unable to convey complex contextual information and dialects including "Hinglish". Above all, the voice of the interlocutor is lost and is replaced with an artificial one, programmed to mimic the voice of the …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 47–57 Read article
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Enhanced Graphical Password System with Intelligent User Identification Model
Abstract: Data and authorization security needed everywhere. In case dealing with huge number of data in a cloud server, secured logging is must. This is due to the fact that cloud servers are freely accessible from anywhere at any time. As a result, data should be well-protected against intruders, hackers, and unauthorized users. Furthermore, because log data files frequently contain sensitive information, log records' secrecy and privacy are equally vital. At …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 23–29 Read article
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Leveraging Emotional Intelligence Based Computer Applications to Analyze Psychological Mitigate Suicidal Ideation in Society
Abstract: The increasing incidence of suicidal ideation is a significant societal concern that requires novel, multifaceted approaches for effective mitigation. This research delves into the promising potential of Emotional Intelligence (EI) based computer applications as tools for the detection, analysis, and mitigation of psychological suicidal ideation within our society. The crux of this study lies at the intersection of Emotional Intelligence and Artificial Intelligence (AI), where AI techniques are enriched with …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Cybersecurity Early Detection Algorithms for Threats
Abstract: Cybersecurity plays a vital role in protecting digital systems, networks, and data from unauthorized access, misuse, and cyberattacks in an increasingly interconnected world. As reliance on internet-based technologies continues to grow, the frequency and sophistication of cyber threats have also increased, making effective cybersecurity strategies essential. Cybersecurity encompasses a comprehensive framework that integrates technological solutions, organizational processes, and human awareness to ensure the confidentiality, integrity, and availability of information. Key …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 31–37 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Artificial Intelligence for Improved Healthcare: A Case Study and Applications
Abstract: Artificial intelligence (AI) in healthcare ushers in a revolutionary period of innovation, but it also brings with it significant ethical dilemmas. This paper explores the complex relationship between AI and healthcare, emphasizing both its useful applications and the moral conundrums that arise. Ethical issues span a wide range, including patient privacy, transparency, accountability, and the unintentional reinforcement of biases in AI algorithms. Privacy concerns take center stage as healthcare providers …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Personalization in E-Commerce and Its Impact on Customer Satisfaction
Abstract: In e-commerce, personalization is the process of customizing online shopping experiences based on each customer’s preferences, past purchases, and behavior. E-commerce platforms are increasingly using tailored content, targeted ads, and personalized recommendations to improve the user experience due to the rapid development of digital technologies and data analytics. Providing customers with pertinent goods and services is the primary goal of personalization, which increases convenience and engagement. By improving the efficiency …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 33–44 Read article
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Exploring the Potential of AI-Driven Personalized Learning and Cognitive Interventions for ADHD Management in Indian Children and Adolescents: A Focus on Early Intervention
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental condition that significantly impairs attention, executive functioning, and behavioural regulation in children and adolescents. In India, the management of ADHD is particularly challenging due to low public awareness, social stigma, and a critical shortage of specialized mental health services, especially in rural areas. These systemic barriers often lead to delayed diagnoses and limited access to consistent care. However, with the rapid …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article