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1747 articles for “Personalization”
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Interactive Smart Mirror for Personal Information Management
Abstract: AbstractThe future of Personal Information Management depends on the Internet of things (IoT). Though the applications of IoT are diverse, the one that concerns the common man is how it can be used to make life easier and faster. This is where Personal Information Management using IoT comes into the picture. Interactive Smart Mirror represents the design and development of a futuristic system for the personal information management for commercial …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 16–21 Read article
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Serverless Computing in Personal Internet of Things (PIoT): Current Trends & Future Perspectives
Abstract: Serverless computing has played a great role in the deployment of the various services and applications including the Personal Internet of Things (PIoT). It illustrates the transformation of cloud programming models, their platforms, and the hiding of inessential details. It is proof of capability and immense endorsement of cloud technologies. In the following study, we analyze the concept of Serverless Computing in the Personal Internet of Things (PIoT), the current …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 1–7 Read article
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Evaluate the effectiveness of nurse led interventions on knowledge and practice regarding nursing care of chest tube drainage among nursing personnel’s working at medical and surgical wards of PGIMS Rohtak Haryana
Abstract: Introduction: The present study was conducted to determine the nursing personnel’s level of knowledge and practice the care of chest tube drainage to improve the quality of nursing care. A chest tube insertion is surgical procedure in which a hollow, flexible drainage tube is inserted through the side of the chest into the plural space in order to drain the plural cavity air, blood, pus or lymph. The water seal …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 84–90 Read article
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Sentence Judgment and Correction Abilities in Persons with Anomic and Conduction Aphasia
Abstract: Persons with aphasia posses’ difficulty in syntactic judgment, regardless of the aphasia type. Even persons with milder variants with aphasia such as conduction aphasia and anomic aphasia do exhibit deficits on syntactic judgment. The syntactic judgment ability is tested through a judgment task where the participants have to speculate the response if the sentence presented to them is correct or incorrect. In order to counteract this variable, sentence correction task …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 23–26 Read article
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Auditory Discrimination for Meaningful and Non-meaningful Minimal Pairs in Persons with Aphasia and Neurotypical Population
Abstract: The present study was carried out with the aim of investigating auditory discrimination in persons with aphasia. Neurotypical participants, persons with anomic aphasia and persons with Broca’s aphasia served as the participants of the study. Auditory discrimination task was carried out on all the participants. The participants were instructed to denote if the pair of words was alike or different by pressing the designated keys on a game pad. Neurotypical …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 16–19 Read article
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Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies
Abstract: Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 31–38 Read article
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A Comprehensive Review: Personalized Treatment Strategies in Stable Ischemic Heart Disease
Abstract: Stable Ischemic Heart Disease (SIHD) is one of the leading cardiovascular disorders associated with high morbidity and mortality worldwide. Since early symptoms such as chest pain, fatigue, and shortness of breath are often non-specific and difficult to recognize, diagnosis becomes challenging, and many cases remain undetected until advanced stages or complications occur. Traditional diagnosis depends heavily on clinical evaluation, electrocardiography, stress testing, and imaging techniques. The development of improved treatment …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 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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A Privacy-Preserving and Performance-Optimized Machine Learning Framework for Personalized E-Commerce User Experience
Abstract: In contemporary e-commerce websites, merchant suggestions are the most outstanding way to boost customer satisfaction and conversion levels. Nevertheless, the growing dependence on user data provokes significant concerns over the protection of privacy and efficiency in computation. In this paper, we have suggested a privacy-preserving and performance-optimized machine learning framework that allows customized e-commerce experiences and protects the sensitive information of users. The framework incorporates the concepts of federated learning …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
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Personal Computer Wireless Network Data Transmission Using Pens
Abstract: P-ISM (Pen-style private networking implement enclose), which is nothing but the new innovation, is under developing stage by NEC Corporation. P-ISM is a implement enclose including five functions—a pen-style cellular phone with a handwriting data input function, implicit keyboard, a very small projector, camera scanner, and own ID key with cashless pass function. P-ISMs are attached with one another through short-range wireless technology. The whole set is also attached to …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 2, 2015 · pp. 28–31 Read article
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In What Ways do Culture, Personality, and Organisational Factors Influence Knowledge Sharing Behaviour of Cataloguers in Nigeria Academic Libraries?
Abstract: This study examined the factors that influenced knowledge sharing behaviour (KSB) of cataloguers in Nigeria academic libraries. Through an explanatory survey, the study employed a conceptual model to examine the influence of personality, culture and organisational factors on knowledge sharing behaviour of cataloguers in five academic libraries. Data was collected quantitatively from thirty-six cataloguers (a total enumeration). Findings showed that personality and culture had no significant influence on cataloguers KSB …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 2, 2020 · pp. 80–97 Read article
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CALMA: A Personalized Android-based Salon Appointment Booking System
Abstract: Amidst the hustle and bustle of modern life, discovering moments of calm and self-nurturing is a precious indulgence. The CALMA salon appointment application is a revolutionary solution designed to bridge the gap between tranquility and the beauty and grooming industry. The research aims to provide users with an intuitive, user-friendly, and informative platform that seamlessly integrates the technologies of Flutter, Figma, Firebase, Spring Boot, and MySQL. CALMA goes beyond being …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 109–121 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Advances in Polymeric In Situ Drug Delivery and Soft Biosensors: Innovations in Biochemical Sensing and Personalized Healthcare
Abstract: Advanced healthcare and personalized medicine are undergoing a transformation thanks to in situ medication delivery systems and biochemical sensor technology. Polymeric in situ drug delivery systems form gels upon administration, releasing medications in a controlled manner and providing benefits such as ease of administration and enhanced patient compliance. Similarly, advancements in soft electronics, including flexible and stretchable biosensors, enable continuous, in situ biochemical monitoring, conforming to complex biological environments like …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 27–32 Read article
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Role of Artificial Intelligence in Transforming Personalized Learning in Education
Abstract: Artificial Intelligence (AI) is revolutionizing personalized education by tailoring learning experiences to meet each student's unique needs. Through advanced algorithms, AI can adapt educational content to align with individual learning speeds, preferences, and styles. Technologies such as adaptive learning systems, smart tutoring tools, and AI-powered assessments offer instant feedback and assist teachers in quickly identifying areas where students may be struggling. Additionally, predictive analytics help anticipate student outcomes, enabling early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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Next Generation Sequencing (NGS) in Personalized Medicine: Emphasizing Public Health Beyond Reality
Abstract: NGS is a modern technology that allows researchers to quickly sequence large amounts of DNA or RNA, it is also known as massively parallel sequencing or deep sequencing. NGS has revolutionized genomic research and biological sciences by its speed, scale, accuracy, ultra-high throughput, and cost. NGS replaced the conventional sequencing method. A novel idea in healthcare is precision medicine, which involves adjusting medical care to each patient’s unique traits and …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–17 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
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article