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327 articles for “collection tool”
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Course Selection by Machine Learning
Abstract: A module to recommend various courses on the basis of learning outcomes and studentselection. Students choose specific courses of study because of their interests and possiblefuture development upon graduation. It is a unique form of student counseling that proposes avariety of student strategies and resources for developing skills and knowledge. It collectscourse information and commends them according to their students' preferences, interests andneeds. Choosing the wrong subjects means the discrepancy …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 20–26 Read article
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The Future is Smelling: Exploring the Potential of e-Nose
Abstract: The human sense of smell, a complex and often underestimated faculty, allows us to perceive the world through volatile organic compounds (VOCs). This ability to detect and differentiate between aromas, flavors, and even potential hazards has inspired the development of the electronic nose, or e-nose. More than just a novelty, e-noses are rapidly becoming sophisticated analytical tools with applications that span across numerous industries. By mimicking the biological processes of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 15–25 Read article
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Fungus Detection System
Abstract: This project identifies fungal pathogens in wet soil with sensors and gives an instant result through an Android app. It helps farmers avoid crop loss, increase yield, and encourage eco-friendly farming practices by enabling early detection and evidence-based decision-making for soil health management. Soil condition is most important to agriculture and environmental health. Having fungus in pre-maturity soil analysis can prevent crop damage and increase the yield. This project seeks …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–34 Read article
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An Enhanced Application Oriented Predictive Analytic using Optimal Deep Learning Model
Abstract: In order to presents better Predictiveanalytic models of different data using various machine learning algorithms. The data prediction is developed on various applications. These applications are facing many challenges while collecting data and data selection etc. The proposed prediction model involves several phases like (a) Data acquisition, (b) Data cleaning, (c) Data normalization, (d) Optimal Feature selection, and (e) Prediction. The optimal feature selection will be accomplished by a new …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 5–10 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Electronic Drones: Technology, Applications, and Future Directions
Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article
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Nanoinformatics: An Overview
Abstract: Nanoinformatics uses informatics techniques to (i) collect, (ii) process, (iii) store, and (iv) retrieve information on nanoparticles/nanomaterials/nanodevices and their potential applications in health care. Nanoinformatics assists to develop new computing applications to accelerate research and development in nanomedicine. In this context, it is playing an important role in acquiring relevant data and information, conceptually organizing information for conversion to knowledge, and developing computing applications that are based on important parameters …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
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Green Human Resource Management: Trends in Sustainable and Agile Human Resources Research in SMEs
Abstract: Small and medium-sized enterprises (SMEs) collectively have a significant environmental impact, despite each individual SME having a relatively small footprint. To mitigate this impact, the implementation of green human resource management practices is crucial for effective workforce management within SMEs. However, SMEs face challenges in executing these strategies and ensuring long-term business continuity. This study aims to establish a theoretical framework for a business model that can assist SMEs in …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 2, 2023 · pp. 9–33 Read article
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Genetic Authentication of Acacia Senegal (L.) Wild
Abstract: A study was carried out to ascertain the taxonomic identity and phylogenetic lineage of three presumed Acacia senegalensis using molecular markers. Three (3) varieties of seeds presumed to belong to Acacia spp. were collected from the Rubber Research Institute of Nigeria (RRIN) Benin City and three BP haplotypes (A, B, and C) was used as control for the analysis. These seeds were processed at the Applied Biotech International Laboratory Nigeria …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 33–39 Read article
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A Study on Insect Journey using Sensor
Abstract: The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute. We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a beetle’s …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 01–05 Read article
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AI-Driven Predictive Biotechnology Framework for Modeling Viral Mutation Hotspots Using Genomic Sequence Analysis
Abstract: Viral mutations represent one of the most critical challenges in global public health because genetic changes in viruses can significantly influence transmissibility, virulence, immune escape capability, and resistance to antiviral treatments. RNA viruses in particular exhibit high mutation rates due to error-prone replication mechanisms, making them capable of evolving rapidly in response to environmental pressures and host immune defenses. Traditional virological research primarily relies on retrospective genomic analysis, where viral …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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WSN with IoT Using Raspberry Pi as a Tool for Communication
Abstract: Wireless systems based on IoT have developed exponentially in various aspects. The Internet of Things (IoT) is a network in which physical devices, sensors, and other objects communicate among themselves without the involvement of humans. The WSN (Wireless sensor network) is a central component of IoT that has escalated into various applications in the real world. Many industries are turning towards industrial automation as it provides increased efficiency, reduced costs, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 34–42 Read article
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QFD Methodology Application to Vocational Training Centres: A Case Study
Abstract: The main population of the stakeholders comprised of students, faculty members, industry people, alumni, parents and members of the society. Based on the data collected from stakeholders needs and expectations of the specific customers for vocational training were assessed and finally the customer’s needs were prioritized and analyzed through QFD technique. For the statistical data analysis, the study used the SPSS software package. The results of the study showed that …
Published in Journal of Production Research & Management · Vol. 5, Issue 2, 2015 · pp. 34–51 Read article
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Assessment of Knowledge, Attitude and Practice about Breast Self-Examination among Mizan–Tepi University Mizan Campus Female Students Benchi Maji Zone Southwest Ethiopia
Abstract: Background: Breast self-examination is one of the most cost-effective methods of screening for breast cancer detection at the early stage of the disease. The exact cause of breast cancer is not known but it is caused by multiple risk factors. It is a hormone dependent disease with a female to male ratio of 150:1. The incidence of breast cancer among blacks African American and low-income countries is low but the …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 29–40 Read article
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A Correlational Study to Assess the Effect of Social Media Engagement on Body Image Among Adolescents in Selected School, Haryana, India
Abstract: Social media has become an undeniable force in shaping modern social interactions, particularly among adolescents. Social media platforms are often criticized for perpetuating unattainable beauty ideals. These platforms frequently showcase images highlighting slimness, youth, and flawless skin, often manipulated by filters, photo editing tools, or even cosmetic surgery. These portrayals of "ideal" beauty can distort adolescents' sense of themselves, leading to increased body dissatisfaction. Objectives of the study were: (i) …
Published in International Journal of Community Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 46–64 Read article
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Developing Metadata Schema for Traditional Medicinal Knowledge (TMK) from Maharashtra, India
Abstract: Around hundred indigenous communities are there in Maharashtra. For their day to day activities they make use of traditional knowledge. Many of them are using their Traditional Medicinal Knowledge (TMK) for curing different disease. Due to benefits of this TMK, many have started to collect, recording, storing and documenting it into a digital format. There is no specific metadata schema for describing digital data of TMK. There are many metadata …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 2, 2020 · pp. 30–39 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Solutions to the Cold Start Problem in Recommender System: A survey
Abstract: Collaborative Filtering (CF) is one of the techniques of recommender system to recommend the items to user based on previously collected preferences of other users. The efficiency of recommendation is mainly depending on how much information about target user and target item available in the system. When this information are not available sufficiently then it creates problem in the system for the new user and new item, which is known …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 3, 2018 · pp. 14–21 Read article
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Analysis of the Extent of Patients’ Rehabilitation from Knee Injuries or Surgery using Recovery Indices
Abstract: Many major knee surgeries or injuries have long rehabilitation periods, during which the patients may have abnormal gait cycles. The patient transitions to independent exercises performed at home, which are crucial to recovery. Doctors need to have a means to closely track patients exercises for proper recovery. This research utilizes statistical analysis tools, which is applied to analyze gait parameters of patients undergoing the rehabilitation process at different stages of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 3, 2017 · pp. 27–40 Read article
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Land surface dynamics: A Multiphysics Approach to Modeling Mass Transport
Abstract: Land surface dynamics are governed by complex interactions among hydrological, atmospheric, and geomorphological processes that collectively drive the transport of mass across terrestrial environments. Traditional modeling approaches often isolate individual mechanisms, limiting their ability to capture the coupled feedbacks that shape landscape evolution. This study presents a multiphysics framework for modeling mass transport on land surfaces, integrating fluid flow, sediment transport, heat exchange, and chemical reactions within a unified computational …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 31–36 Read article