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1198 articles for “analyzer”
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Therapeutic Potential of Terminalia arjuna Bark in the Management of Hemorrhoids: A Comprehensive Review
Abstract: Background: Hemorrhoids appear frequently among anorectal disorders since they create vascular swelling together with pain symptoms, while leading to bleeding and mucosal tissue tending to slide out. Though effective therapy exists, traditional treatments produce various adverse effects and lead to recurrence and inconsistent patient following of medical recommendations over the long term. Plantbased therapeutic medicines have gained rising demand, which leads experts to investigate medicinal plants with established pharmacological effects. …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 22–32 Read article
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Evaluating the Contribution of Women in the Field of Journalism
Abstract: The role of women in journalism has evolved significantly over the years, with their contributions shaping the narratives, perspectives, and dynamics within the industry. This research paper aims to evaluate the multifaceted contributions of women in journalism, analyzing their impact on reporting, societal perceptions, and the advancement of gender equality within newsrooms. Through a comprehensive review of existing literature and case studies, this paper highlights the challenges faced by women …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 11–21 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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The association between emotional intelligence and job satisfaction among secondary school teachers employed by particular high schools of Bagalkot
Abstract: Background: The success of an individual hinges on several personal factors. In this age of globalization, where culture, science, economy and society are exchanged globally, emotional intelligence seems to be the missing currency. A person’s ability to handle emotions with wisdom is referred to as emotional intelligence. Those with emotional intelligence are guaranteed a positive simultaneity domestically, socially and professionally. Such individuals are better capable of managing their emotions and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 13–20 Read article
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A summary continuation analysis evaluating the prevalence and predictors of diabetic retinopathy in newly diagnosed type 2 diabetic patients.
Abstract: Context: Diabetic retinopathy (DR), the leading cause of acquired blindness in adults, affects approximately 93 million people globally. It is a serious complication of type 2 diabetes, resulting from prolonged damage to the blood vessels in the retina. Although largely preventable and treatable, DR continues to be the main cause of vision loss among working-age adults and significantly impacts quality of life. While most studies on DR in Nepal have …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 21–30 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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Air Pollution and Lung Cancer: A Deep Dive into the Impact in Southern India
Abstract: Lung cancer incidence is rising in Southern India, with air pollution, particularly PM2.5, emerging as a significant risk factor alongside smoking. A retrospective cohort study analyzed data from 1,500 lung cancer patients diagnosed between 2010–2020 across Chennai, Bangalore, and Hyderabad, using hospital records, cancer registries, and environmental monitoring stations. The study found that 73.3% of patients were male, 80.7% were smokers, and 42.7% were aged 60+. Chennai had the highest …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 24–30 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Development of Robot Arm Fingers with Polymer Soft Materials
Abstract: Lightweight soft material applications have attracted attention to Basalt Fiber Reinforced Polymer (BFRP) laminates because of their impressive mechanical characteristics. The impact response and stress-strain behavior of epoxy resin laminates armored with basalt fiber and banana fiber are investigated during this project using computational and experimental approaches. The hand lay-up method was employed to create laminates with a thickness of 3 mm, dimensions of 300x300 mm², and a layout of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 432–439 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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The Technological Evolution of Conventional Engines in Transport Systems Aimed at Mitigating Atmospheric Pollutant Emissions
Abstract: The automotive sector is a major contributor to atmospheric pollution and faces increasing pressure to adopt sustainable energy alternatives. This study explores technological innovations aimed at reducing vehicle emissions, focusing on advancements in internal combustion engine efficiency and the expanding role of renewable fuels such as ethanol and biodiesel. The transition to electric vehicles is also analyzed, emphasizing benefits in emission reduction and challenges related to charging infrastructure and battery …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–32 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Limits to Knowledge-Sharing by Computers
Abstract: The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly enhanced the capabilities of computers in processing, analyzing, and disseminating knowledge. However, despite these advancements, there are inherent limits to the extent that knowledge-sharing can be fully realized through computer systems. This study explores the various barriers that hinder the effective sharing and transfer of knowledge through machines, including technological limitations, ethical concerns, and the complexities of …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 01–05 Read article
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Transforming the Landscape of Advanced Dentistry: Incorporating Intelligence Augmentation (IA) and Artificial Intelligence (AI) to Propel Progress-A Narrative Review.
Abstract: Digitization is about to transform most sectors, and it is important to comprehend its role and socio-economic consequences. One of the infected sectors is dentistry and this article genericizes AI and IA in dentistry. It analyzes the advancement of AI and IA to supersede human capabilities using a comparative analysis of these technologies with current deployment. One of the challenges is to attain sufficient data input for AI and the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 23–29 Read article
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Advances in Polymer Chemistry: The Role of Polymer Composites in Modern Applications
Abstract: Polymer composites have gained immense significance in various industries due to their superior mechanical, thermal, and chemical properties, making them highly versatile materials. These composites are formed by combining polymer matrices with reinforcing agents such as fibers, nanoparticles, or other fillers to enhance specific properties. The field of polymer chemistry plays a crucial role in the development and optimization of these materials, ensuring their suitability for diverse applications. This paper …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 51–56 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Productivity in Construction and Quantity Surveying Functions: Assessing User Satisfaction with the Effectiveness of Software Design
Abstract: Information technology has had a significant impact on the productivity of business operations and processes in construction. Quantity surveyors are responsible for managing labour, time, and cost in construction projects, with the primary aim of achieving high levels of productivity. Given the transformative potential of information technology, the professional services of quantity surveyors have been digitalized to meet the demands of construction stakeholders through the development of different software packages. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 24–35 Read article
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A Bio-Bibliometric Analysis of Dr. Suprabhat Mukherjee, a Pioneer of Innovative Approach for Colon Cancer Treatment Using Fluids of Custard Apple (Annona Reticulata) Seeds
Abstract: Dr. Suprabhat Mukherjee, associated with Kazi Nazrul University (KNU), West Bengal, India, is a globally recognized immunobiologist, and a celebrated Indian scientist cum researcher for his contributions in Corona Vaccine, and Colon Cancer. This study covers his 154 research publications in various forms of published documents during 2010–2024. Personal information and data about research contributions, have been collected from the bibliographic databases like Google Scholar (GS), Research Gate (RG), and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 50–68 Read article
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Studies on the antioxidant content and antimicrobial activity of cucumber (cucumissativus) peel collected from bagmari, kolkata, west bengal, india
Abstract: Cucumber (Cucumis sativus) is widely consumed across the globe, yet its peels are commonly discarded as waste, despite possessing a wealth of bioactive compounds. Recent studies have highlighted that these peels contain substantial amounts of antioxidants, antibacterial, anti-inflammatory, and anti-carcinogenic properties, making them a promising candidate for value-added applications. In this study, methanolic extracts (80% v/v) of cucumber peels were systematically analyzed to assess their total phenolic content (TPC), total …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article