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1975 articles for “App development” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
Published in Recent Trends in Electronics Communication Systems Read article
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Development of Cost-Effective Nanocarriers for Targeted Drug Delivery in Cancer Therapy in India
Abstract: The growing challenge of cancer in India demands the development of novel treatment approaches that are efficient and less expensive in alleviating disparities related to healthcare access and optimizing outcomes. Among the possible options, the drug delivery systems utilizing nanocarriers have been developed and they provide greater therapeutic targeting, reduced systemic toxicity, and decreased treatment costs over time. In this research, we assess the degrees of awareness, affordability, and acceptability …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Polymer Chemistry in Dental Applications: Advances and Innovations
Abstract: Polymer chemistry has revolutionized dental materials, offering enhanced mechanical strength, durability, and biocompatibility. The integration of polymer-based materials in dentistry has led to significant advancements in restorative, prosthetic, and preventive treatments. This paper explores the role of polymers in dental applications, focusing on composite resins, denture bases, impression materials, and adhesive systems. The development and alteration of polymers have led to the creation of advanced materials with enhanced wear resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 16–22 Read article
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Light Waves and Data Highways: The Physics of Optical Communication Networks
Abstract: Optical communication has revolutionised modern telecommunication, allowing for the quick transfer of information by light signals. This technology uses optical fibres as the transmission medium and offers higher bandwidth, lower signal loss and faster data transfer than typical electrical communication systems. Optical communication has become a key enabler of internet services, mobile networks, satellite communication and data centers which are all driving the increasing demand for high speed and dependable …
Published in International Journal of Optical Innovations & Research · Vol. 4, Issue 1, 2026 · pp. 13–24 Read article
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Advances in Polymer-Based Orthodontic Materials for Enhanced Treatment Efficiency
Abstract: Polymers, particularly shape-memory polymers, fiber-reinforced composites, and elastomeric materials, provide enhanced mechanical properties such as flexibility, durability, and controlled force application, leading to improved treatment outcomes. These materials offer superior biocompatibility, reducing irritation and discomfort for patients while ensuring efficient and predictable tooth movement. It is important to note one of the key advancements in orthodontics is the use of shape-memory polymers, which can respond to temperature or external stimuli, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1016–1024 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Depression Detection using Machine Learning: A Comprehensive Review
Abstract: Depression is a leading mental health disorder worldwide, often underdiagnosed due to subjective assessment methods. The increasing availability of digital behavioral data and the advancement in machine learning (ML) have opened new avenues for automated depression detection. This review presents a comprehensive overview of recent developments in ML- based approaches for detecting depression. It explores data sources, feature extraction techniques, learning algorithms, evaluation methods, and highlights current challenges and future …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 Read article
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Analytical Technique Optimization and ICH-Directed Verification of a Reverse Phase HPLC Approach for Quantification of Bupropion Hydrochloride
Abstract: This method was developed for retention time, peak resolution and baseline response using Bupropion Hydrochloride under optimized conditions as validation. The method resulted in two well separated, well defined peaks, a minor peak at 7.5 minutes 12 mV and a main peak at 11.52 minutes 150 mV. At the same time, the baseline has remained stable during the chromatographic run and the fluctuations of noise are very small (0.5 ± …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 47–54 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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A Comprehensive Review on Nanostructured Polymer Composites for CT Imaging Contrast Enhancement in Brain Tumor Diagnosis
Abstract: The detection and characterization of brain tumors require high-resolution and non-invasive imaging modalities that have the ability of differentiating tumorous tissues and healthy brain tissues. Computed tomography (CT) can be included in this number because, in addition to providing speedy scans and penetration to deep tissue, the diagnostic capability in soft tissue organ such as the brain is poor despite low natural contrast. The review is dedicated to the emerging …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 148–162 Read article
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A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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Physico-Chemical Soil Analysis: A Scientific Approach to Life on Land and Terrestrial Ecosystem Conservation for Supporting SDG 15 Goals
Abstract: Soil health and fertility evaluation are foundational elements in the sustainable management of ecosystems and the enhancement of agricultural productivity. Accurate assessment of soil properties, especially Carbon (C), Nitrogen (N), and Phosphorus (P), is critical for informed decision-making in agriculture and environmental conservation. However, traditional laboratory methods for analyzing these essential nutrients often involve significant resource allocation and time commitments, making them less practical for large-scale or time-sensitive applications. To …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 1, 2025 · pp. 25–23 Read article
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Model to Predict a Ratio Control of Hydrocarbon Acid and Water in a Packed Bed Reactor
Abstract: Model development was carried out to examine the ratio of hydrochloric acid gas and water in a packed bed reactor. The research predicted increase in output with increase in time, revealing the effectiveness ratio control of hydrochloric acid separation from water using absorption column mechanism. The density of the products played an active role in the separation process as well as in control action function. The developed model can be …
Published in Emerging Trends in Chemical Engineering Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Advanced Techniques in Filler Layering for the Malar Region: Implications for Cellular Integrity and Long-Term Outcomes
Abstract: Objective: This review investigates advanced filler layering techniques for the malar region, focusing on cellular integration, collagen remodeling, hydration dynamics via aquaporin channels, genetic responses, and filler performance over time. Emphasis is placed on high-density HA fillers (Lyft, Voluma, Volift, and Volux), examining cellular-level mechanisms, genetic interactions, and the role of key pathways (TGF-β, ERK/MAPK, AQP3) in long-term outcomes. Methods: A systematic review was conducted, focusing on genetic, cellular, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 10–19 Read article
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Building the Future: Energy Efficiency and Sustainable Design
Abstract: The research work aims to present an extensive study of energy-efficient green buildings with a focus on the latest technologies, strategies and hence their environmental and economic consequences. It dives deep into what green building is, including 1) site sustainability, 2) energy efficiency, 3) water efficiency, 4), material efficiency, and 5) design. The study discusses how green buildings are planned, in a way to consume the least amount of energy …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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Nano-Materials in Vaccine Formation and Chemical Formulae’s for Vaccination
Abstract: For centuries, vaccines have been a cornerstone of public health, preventing debilitating and deadly diseases. However, the development and delivery of effective vaccines have always been met with challenges. From stability issues and limited immune response to the need for specific targeting, scientists are constantly seeking innovative approaches to improve vaccine efficacy and accessibility. Enter nanomaterials – minuscule materials with dimensions at the nanoscale – offering a powerful toolkit to …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 27–39 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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Veeros: Stranger to Stranger Help Application
Abstract: This article aims to address the prevalent issue of individuals, particularly women, facing various unwanted problems and the reluctance to seek help from strangers or emergency helplines. The team’s proposed solution involves the creation of a platform that enables individuals to seek help without hesitation and receive assistance from nearby volunteers, thereby fostering a sense of community and support. The project’s problem statement emphasizes the serious challenges faced by women, …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 20–27 Read article