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214 articles for “identification”
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AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems
Abstract: The rapid growth of cities and rise in population have made waste management a major concern that calls for innovative and efficient solutions. Conventional waste collecting techniques are dangerous, time-consuming, and frequently ineffective. The development of automated waste management systems powered by cutting-edge technology like robotics, deep learning, artificial intelligence (AI), and the Internet of Things (IoT) is examined in this study. Vision-based systems, convolutional neural networks (CNN) for garbage …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Unlocking Science Potential: Developing a New Attitude Scale SS-SAS for Young Learners
Abstract: The aim of this examination is to develop an attitude scale for measurement of scientific attitude of upper primary students. The development was carried out by researchers with the help of 20 subject area experts, and 240 students of approved schools of state of Rajasthan State/central boards BE/CBSE board studying in classes 6–8. The study consists of five parts, namely literature review, components of scientific attitude to be measured, development …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 66–73 Read article
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How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Multilingual Education and Language Policy in a Globalized World: Toward Inclusive and Equitable Learning Systems
Abstract: Multilingual education involves teaching and learning in two or more languages, promoting linguistic diversity and enhancing educational outcomes. It acknowledges learners’ native languages and integrates them with dominant or global languages to foster inclusivity and cognitive development. Multilingual education (MLE) serves as a critical framework for promoting inclusivity and equity within increasingly globalized and culturally diverse classrooms. This paper explores the role of MLE and the influence of language policies …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 64–74 Read article
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Perception and Implementation of Sports Safety Measures Among University Physical Education Instructors in Punjab: A Cross-Sectional Study
Abstract: Introduction: Considerable attention must be focused on sports safety as it is a constituent of thephysical education (PE) curriculum at the university level, in view of the frequent and vigorous engagement in physical activities. While there is general acknowledgement of the existence of safetymeasures, the extent to which such measures are put into practice may differ. This research examines the perceptions and practices related to sports safety of university PE …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 45–55 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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Impacts of Climate Change and Anthropogenic Stressors on Marine Ecosystems: A Comparative Study of Coral Reefs, Kelp Forests, and Arctic Fjords
Abstract: The accelerating impacts of climate change and human activities are profoundly reshaping marine ecosystems, threatening biodiversity, and altering trophic dynamics. This study synthesizes recent research on the responses of marine flora and fauna to temperature fluctuations, ocean acidification, pollution, and overfishing, highlighting the cascading effects on primary production, nutrient cycling, and ecosystem resilience. Using a combination of field surveys, remote sensing data, and meta-analytical approaches, we quantified biodiversity shifts across …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 17–24 Read article
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Divorced Women Attitudes Towards Remarriage: A Qualitative Approach
Abstract: The current study aimed to investigate the attitudes of divorced women regarding remarriage and to comprehend the diverse factors that shape their viewpoints. The research population comprised divorced women, and a purposive sampling method was employed to select participants. Data were collected from ten divorced women through semi-structured interviews, allowing for in-depth exploration of personal experiences and viewpoints. A qualitative research design was adopted to capture the complexity of individual …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Study on Brain Tumor Detection Using Morphological Operations in MATLAB with Graphical User Interface (GUI)
Abstract: Brain tumor detection plays a crucial role in early diagnosis and effective treatment planning. This research presents a MATLAB-based Graphical User Interface (GUI) for Brain Tumor Detection, incorporating a comprehensive pipeline of image processing techniques. The GUI provides a user-friendly platform, empowering medical professionals to accurately and efficiently analyze MRI brain scans. The GUI begins with text removal to eliminate any textual artifacts that may be present in the MRI …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2024 · pp. 24–31 Read article
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Navigating the Depths of Cancer Stem Cells: Unraveling Resistance Mechanisms and Emerging Therapeutic Strategies
Abstract: In the past few decades, comprehensive evidence has convincingly established the presence of cancer stem cells (CSCs) as a minor subset within tumors, contributing to an unusually elevated level of cellular diversity within the malignancy. CSCs are functionally identified by their capacity for self-renewal and differentiation, frequently influenced by signals from their surrounding microenvironment. The interconnected transcriptional, post-transcriptional, metabolic, and epigenetic regulatory networks govern the biological characteristics of CSCs. CSCs …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 14–18 Read article
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Dengue in India : Insights in the Indian Context
Abstract: The mitigation of infectious diseases in India, notably Dengue, assumes pivotal importance due to their significant repercussions on human and animal health, thereby imposing a considerable burden on the healthcare infrastructure. This review underscores the ongoing initiatives in infectious disease management, endorsing the implementation of a comprehensive healthcare strategy. Emphasis is placed on the augmentation of reporting mechanisms through the integration of IgM detection kits, advocating for heightened investments in …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 2, 2024 · pp. 10–13 Read article
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An Interoperability on the Internet of Things (IoT): A Review
Abstract: With technological advancement growing at a rapid rate, we are presented with numerous ways of connecting ourselves to the rest of the world. The Internet of Things, or IoT, is now a reality, even at the minuscule level. With ubiquitous computing, we can stay in constant communication with the outside world. As such there are several types of devices capable of monitoring, measuring, and sending data back and forth from …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2024 · pp. 40–53 Read article
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Grid based docking study of some 2-(4-methylsulfonyl phenyl) pyrimidine derivatives (designed after QSAR studies) with Cyclooxygenase
Abstract: Molecular docking helps in studying drug/ligand or receptor/ protein interactions by identifying the suitable active sites in protein, obtaining the best geometry of ligand-receptor complex and calculating the energy of interaction for different ligands to design more effective ligands. In Grid based docking, after unique conformers of the ligand are generated, the receptor cavity of interest is chosen and a grid is generated around the cavity. Cavity points are found …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 23–41 Read article
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A review on antibacterial properties of eucalyptus oil and different eucalyptus species used in pharmaceuticals
Abstract: Medicinal plants with antimicrobial compounds play a crucial role in combating various pathogens. Eucalyptus, belonging to the myrtle family, is notable for its diverse antimicrobial compounds. This fast-growing plant thrives in many countries and its various parts offer significant medicinal value, including timber, pulpwood, and essential oils. The leaves, often considered forest harvesting waste, contain essential oils with potential medicinal benefits. Members of the genus Eucalyptus are highly valued for …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 10–19 Read article