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390 articles for “personal data”
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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AI and ML-Driven Immersive Technologies: A New Era in Education
Abstract: The very fast adoption of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed contemporary teaching and learning ecosystems driven by advances in immersive technologies and the growing engagement of global technology leaders with virtual environments. AI-powered educational platforms enable adaptive and personalized learning pathways by dynamically adjusting content, pace and instructional strategies to learners’ preferences, abilities and learning styles by improving engagement, retention and academic outcomes. Deep …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 116–123 Read article
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Web Development System for Real Estate
Abstract: The real estate industry is currently undergoing a digital transformation, where a well-designed website has become the foundation of successful real estate ventures in the digital era. The real estate website project aims to tackle a range of challenges encountered by both buyers and sellers in the market. These challenges include limited property options, inefficient property searches, a lack of transparency, communication issues, and cumbersome documentation processes. To conquer these …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 21–27 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 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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Real-time Facial Recognition with Convolutional Neural Networks for Personalized Music Therapy
Abstract: In this project, a web-based application has been developed that integrates computer vision-based facial recognition, multiple algorithms, and machine learning approaches. The given system obtains a user’s emotions in the real-time frame by analyzing facial expressions such as eyes, mouth, the forehead, and so on. It detects emotions like happiness, sadness, that is neutrality, or rock. For a given detected emotion, language, and a user’s chosen artist, the system recommends …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 67–76 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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Development Of Ai-Driven Systems for Real-Time Joint Movement Detection and Correction in Frozen Shoulder Therapy Using Sensor-Based Shoulder Rehabilitation Devices
Abstract: Frozen shoulder, or adhesive capsulitis, is a common musculoskeletal disorder characterized by progressive pain, stiffness, and restricted range of motion that significantly impairs functional ability and quality of life. Recent advancements in artificial intelligence and sensor-based technologies have enabled the development of intelligent rehabilitation systems capable of real-time joint movement detection and correction. Wearable sensors such as inertial measurement units, electromyography sensors, and flexible strain sensors capture continuous biomechanical data …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Integration of Electronic Health Records EHR for Seamless Patient Care in India
Abstract: The integration of Electronic Health Records (EHR) represents a pivotal advancement in enhancing healthcare delivery in India. Electronic Health Record (EHR) systems are designed with the primary objective of centralizing, organizing, and digitizing patient-related data. By creating a unified digital platform, EHRs enable healthcare providers to easily access and share critical medical information across different departments, institutions, and geographical locations. This streamlined flow of data ensures that healthcare professionals are …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Life Sciences in the 21st Century: New Ideas and Their Effects
Abstract: The life sciences have made huge strides in the 21st century, thanks to quick progress in genomics, biotechnology, and computational biology. New technologies like gene editing, personalised medicine, and synthetic biology have changed the way we think about living systems and changed the way we do things in healthcare, farming, and managing the environment. Combining big data and artificial intelligence has sped up discoveries even further, making it possible to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Transforming the Healthcare Industry Involves Leveraging Technology Make More Accessible
Abstract: In recent times, transforming healthcare has occupied prominence as information technology advances. This method utilizes cutting-edge technologies such as the Internet of Things (IoT), big data analytics, cloud computing, and artificial intelligence to transform conventional healthcare systems. Its primary aim is to enhance the efficiency, accessibility, and personalization of medical services. In this review, we outline the key technologies supporting smart healthcare and discuss its current status in various important …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 06–12 Read article
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IoT-Based Diabetes Management: Advancements and Challenges in Healthcare
Abstract: The integration of the Internet of Things (IoT) into healthcare has revolutionized disease management by enabling real-time monitoring, data analysis, and proactive interventions. This paper explores how IoT applications can significantly enhance diabetes management by providing sustainable and innovative healthcare solutions. Leveraging IoT-enabled devices such as Continuous Glucose Monitoring (CGM) systems, smart wearables, and remote patient monitoring tools, diabetes care can be personalized and made more efficient, reducing long-term complications. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Computers: Evolution, Breakthroughs, and Future Innovations
Abstract: The computer, a cornerstone of modern technology, has evolved through significant inventions and innovations that have transformed societies and industries worldwide. From the early mechanical calculating machines, such as Charles Babbage’s Analytical Engine, to the advent of electronic computers like the ENIAC, the journey of computing is marked by breakthroughs that have enabled rapid advancements in data processing, communication, and automation. The introduction of integrated circuits, microprocessors, and the development …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 11–23 Read article
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AI: Revolutionizing Pharmacy Practice and Enhancing Patient Care and Safety
Abstract: The use of artificial intelligence (AI) in pharmacy is transforming medication management, improving patient care, and boosting safety. By leveraging cutting-edge technologies, such as machine learning, natural language processing, and predictive analytics, AI enables pharmacists to develop personalized treatment plans and anticipate possible adverse drug reactions. AI-driven systems enhance operational efficiency by streamlining inventory management, prescription processing, and administrative duties, allowing pharmacists to devote more time to patient care. Additionally, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article