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595 articles for “comprehensive approach”
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Remote Sensing and GIS-Based Approaches for Groundwater Contamination Assessment: A Comprehensive Review of Methods, Sources, and Emerging Trends
Abstract: Groundwater contamination poses a serious threat to sustainable water resources, especially in developing regions with limited monitoring infrastructure. This review provides an in-depth analysis of remote sensing (RS) and geographic information system (GIS) techniques applied to identify, monitor, and assess groundwater contamination. The study categorizes major sources of pollution, including industrial effluents, agricultural runoff, and geogenic inputs and examines how multispectral and hyperspectral satellite data contribute to indirect mapping of …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 39–49 Read article
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Innovative Approaches in Excipient Co-Processing: A Comprehensive Review
Abstract: Co-processing of existing excipients is an innovative strategy in pharmaceutical formulation that offers a cost-effective, efficient alternative to the development of entirely new excipients. This process involves combining two or more well-established excipients to create new material with enhanced properties, thereby improving the functionality, performance, and manufacturability of pharmaceutical products. By leveraging the unique characteristics of each excipient, co-processing can significantly enhance attributes, such as flowability, compressibility, solubility, stability, and …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 34–51 Read article
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Efficient Gabor Filter Design Using Verilog HDL with Multiplier-accumulator (MAC) Implementation
Abstract: This paper introduces a novel and enhanced Gabor filter design aimed at addressing the demands of image processing applications using the Verilog Hardware Description Language (HDL). Specifically, it leverages the Reconstruct Gabor filter technique to elevate the performance and quality of standard image outputs. The primary objective of this research endeavor is to simplify the study, conduct an in-depth analysis, and substantially enhance the design's efficiency, all while ensuring the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 40–46 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Comprehensive Review on Pulsatile Drug Delivery System: Hybrid Approaches
Abstract: Pulsatile drug delivery systems (PDDS) represent a groundbreaking approach in pharmaceutical technology, allowing for controlled, targeted, and programmable drug release that aligns with circadian rhythms or caters to time-sensitive therapeutic requirements. Although traditional pulsatile systems have shown considerable clinical promise, their effectiveness is frequently compromised by physiological variations such as gastrointestinal transit times, changes in pH, and enzymatic activity. To tackle these obstacles, hybrid PDDS have been developed by combining …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 18–31 Read article
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A Comprehensive Study on Improving Contact Lens Performance Through Various Approaches
Abstract: Contact lenses improve vision quality by correcting refractive errors and thus provide a convenient alternative to traditional eyeglasses. Apart from vision enhancement, they have multiple applications in cosmetics, drug delivery, and therapeutic use. The performance of these lenses depends on various factors such as material, design, fitting, and interaction between the lens and the eye. The selection of appropriate materials is crucial for maintaining optimal eye health. Properties like oxygen …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 211–222 Read article
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Sustainable Learning and Education
Abstract: Sustainable learning asnd education are approaches to learning that prioritize environmental stewardship, social equity, and economic prosperity. A comprehensive approach to education, sustainable learning and education acknowledges the interdependence of social, economic, and environmental systems. Rather than treating these aspects in isolation, sustainable education integrates them to foster a comprehensive understanding of sustainability issues. Sustainable education places a strong emphasis on systems thinking, which entails comprehending the feedback loops and …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 15–19 Read article
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Food Allergy-practical Approach
Abstract: There is a consistent increase in prevalence of food allergy (FA). The diagnosis of FA is based on thorough history supported by positive skin test, specific IgE (extract-and component-based), Basophil activation test (BAT) to reduce the need for Oral food challenge (OFC). OFC procedures may be conducted in cases of diagnostic uncertainty or to assess the presence or development of tolerance. Effective management of food allergy involves a comprehensive three-pronged …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 32–53 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Biomimicry of Eucalyptus Leaf Design for Optimization and Fabrication of Airfoil
Abstract: Biomimicry is the practice of drawing inspiration from natural forms to solve engineering problems, which has become progressively popular for refining design efficiency and performance. This work discovers how biomimicry can be applied to airfoil design, precisely through the unique structure of Eucalyptus leaves, a concept rarely explored in airfoil profiling. The work presented here, focuses on enhancing airfoil designs by incorporating the intricate features of these leaves. The airfoil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 359–372 Read article
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Advanced Miasmatic Approach in Ante Natal Care - Multi Faceted Homoepathy
Abstract: Homeopathy and pregnancy care? Looks challenging? The structural deformities investigation in modern medicine is an unforeseen combination of a physical, mental breakdown of pregnant lady, resulting an immediate call for effective therapy of the lady and family. The female-being the pivot, her health in pregnancy marks great responsibility for an Altruistic homeopath. The advanced miasmatic lens in antenatal care magnifies the role of multifaceted homeopathy. Such type of synergistic efforts …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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CampusX: Empowering College Selection with 3D insights using machine Learning approach.
Abstract: CampusX redefines college selection with dynamic 3D insights, empowering students to navigate campuses virtually. Utilizing cutting-edge machine learning and visualization techniques, it transforms static data into interactive experiences. Personalized comparisons enable informed decision-making, while predictive analytics forecast future campus developments. With a user-centric interface and robust privacy protocols, CampusX ensures seamless exploration and data security. This innovative platform bridges the gap between prospective students and their ideal educational environments, revolutionizing …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 23–29 Read article
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Nanotechnology’s Emerging Frontiers
Abstract: Nanotechnology holds significant promise across diverse sectors, including agriculture, food processing, energy, transportation, and communication systems. This swiftly evolving domain revolves around the development of groundbreaking materials and devices that tackle intricate engineering and scientific hurdles across various sectors. In agriculture and food processing, nanotechnology unfolds a myriad of potentialities. Its potential extends to the development of various products such as nano-fertilizers, nano-herbicides, nano-pesticides, and nano-scale carriers. Additionally, it plays …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 14–23 Read article
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Anti-hyperglycemia Effects of Plant Secondary Metabolites Towards PKA/CREB Pathway Activation in Diabesity
Abstract: Objective: Diabesity, the amalgamation of diabetes and obesity, presents a significant global health challenge. This research carefully examines how plant secondary metabolites influence glucose regulation in diabetes using the PKA/CREB pathway, paying particular attention to diabesity—the combination of diabetes and obesity. Understanding the complex ways in which these metabolites affect metabolic health will help to identify new treatment approaches for managing diabetes and its associated problems. By conducting a thorough …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 33–50 Read article
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Livestock and Landscapes: Rethinking Carbon Sequestration Synergies for Transforming Livestock-Raising Paradigm
Abstract: The livestock sector plays a critical role in global agricultural systems, but its impact on climate change is a growing concern due to significant greenhouse gas emissions, particularly methane and nitrous oxide. As the demand for livestock products continues to rise, rethinking current practices becomes essential to mitigate environmental degradation and enhance sustainability. This study examines the synergies between livestock farming and carbon sequestration strategies within global landscapes, with a …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 29–43 Read article
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Designing a Novel Insider Threat Model for Enhanced Cybersecurity
Abstract: Designing a novel insider threat model is a critical imperative in the realm of cybersecurity. As organizations face an ever-expanding threat landscape, insider threats, whether deliberate or inadvertent, present a formidable challenge to the safeguarding of sensitive data and critical assets. This abstract encapsulates the significance, challenges, and innovations inherent in crafting an effective insider threat model for enhanced cybersecurity. The necessity for novel insider threat models arises from the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 24–27 Read article
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Overview of Diabetic Neuropathy: A Comprehensive Examination
Abstract: Abstract: India has earned the unfortunate distinction of being the global epicenter for diabetes, with an alarming projection of 109 million individuals expected to be afflicted by the condition by 2035The global influence of diabetic neuropathy is significant, with an estimated 132 million individuals affected as of 2010, constituting roughly 1.9% of the global populace. Notably, within the diabetic population, there exists a significantly heightened prevalence The prevalence of sensory …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 26–36 Read article
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Coronary Vascular Disease: A General Review with Specific Reference to Etiology
Abstract: Cardiovascular disease (CVD), the foremost cause of mortality worldwide, has surged by 60% globally, reaching 20.5 million deaths in 2021 from 12.1 million in 1990, as per the latest report from the World Health Federation. While this increase is alarming on a global scale, it raises even greater concerns in countries like India where heart ailments are afflicting individuals at a younger age. The escalation of CVD among the younger …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
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AI and E-Commerce in the Sultanate of Oman and its Prospects
Abstract: In line with the Sultanate of Oman's strategic vision for 2040, there has been a notable surge in prioritizing information and communication technology. Emphasizing the imperative of digital transformation, this vision underscores the necessity for both public and private institutions to continually evolve and enhance their administrative functions and services. Digital transformation extends beyond mere technological integration, presenting a holistic organizational restructuring, encompassing internal operations to public service delivery. A …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 23–29 Read article
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Cyclist Safety Enhancement: A Multi-Modal Hazard Detection System
Abstract: This study presents a multi-modal hazard detection system to enhance cyclist safety in urban environments. Lever- aging a combination of computer vision, object tracking, and predictive modeling, the system offers a comprehensive approach to identifying and mitigating potential risks. Key contributions include improved depth estimation through object size priors, multi-class tracking utilizing KCF and Brisk, and a novel recurrent neural network architecture for predicting bicycle movement. The system’s collision detection …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 35–83 Read article