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1977 articles for “BASE” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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GPS-based Dengue Risk Index App
Abstract: Our idea is to develop GPS-based dengue risk index app which is mainly used to predict the outburst of dengue diseases in user’s location. The prediction is based on analysing climatic condition. The climatic parameters that are used in analysis are temperature, rainfall and humidity. Linear regression algorithm is used to extrapolate in the multidimensional space to predict the threat of dengue exploration at user’s location. The dengue risk index …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 1, 2018 · pp. 12–16 Read article
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Efficient Information Retrieval based on Name and Aliases from the Web using Anchor Text Mining
Abstract: AbstractInformation Retrieval (IR) plays an important role in search engines. The major task is to search and retrieve complete information from the web in an effective and efficient way and hence it is found to be an enabling technology to realize the full potential of it. IR has a vital role in our day to day activities and it is considered to have a most prominent role in the search …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 13–18 Read article
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Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article
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Server Based Operating System (OS) Research Direction for Future Smart World Using Internet of Things
Abstract: AbstractCommunication and data processing over Internet has become a research issue to the researchers of Internet of Things (IoT). Cloud computing is already familiar at present. Cloud computing offers servers, storage, databases, networking, software, analytics and more, over the Internet (“the cloud”). Companies offering these computing services over Internet (“the cloud”) and typically, charge for cloud computing services based on usage, similar to how you are billed for water or …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 26–32 Read article
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Machine Learning-based Peer-to-Peer Platform for Precision Agriculture in Crop Growth and Disease Monitoring
Abstract: Farmer suicides are a significant problem in India due to various circumstances. One of the main problems is the financial side of managing and growing crops while still trying to make a profit. This study proposes a decentralized platform for buying and selling agricultural produce by connecting farmers with individuals interested in investing in their fields and continuous monitoring of quality and crop health using IoT, Blockchain, and Machine Learning …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 26–39 Read article
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Jaccard Index Versus Preferential Attachment: A Comparative Study of Similarity Based Link Prediction Techniques in Complex Networks
Abstract: Link prediction is a critical task in network analysis that aims to forecast potential connections between nodes. Numerous methods have been developed to address this challenge, with similarity-based techniques gaining substantial attention due to their simplicity and effectiveness. This research work presents a comprehensive review of two prominent similarity-based link prediction techniques, namely the Jaccard Index and Preferential Attachment. The Jaccard Index measures the similarity between two nodes based on …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 7–11 Read article
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Fuzzy Logic System Based MPPT to Improve the Accuracy, Reliability and Power Quality of Grid Integrated Photovoltaic (PV) System
Abstract: Abstract: In this piece of research, a Fuzzy logic based system is designed for output voltage and frequency control of a Grid Integrated PV System. Photovoltaic (PV) energy generation system provides the opportunity to capture more power than other turbines. Distributed power generation systems based on renewable energy sources are attracting the market. In this regard, grid-connected photovoltaic (PV) plants are becoming a common technology to generate energy and its …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 3, 2020 · pp. 1–9 Read article
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A Descriptive Study to Assess the Prevalence of Knee Pain and Providing Need-Based Interventions Among Women (Above 40 Years) Residing in Selected Urban and Rural Areas of Roopnagar District (Punjab)
Abstract: Introduction: Health is general condition of person’s mind, body and spirit, usually meaning to be free from illness, injury or pain. Knee pain is a major health problem in India that causes considerable disability and impact on quality of life. Knee pain is common musculoskeletal problem in women and its prevalence increases with age, which includes mainly the knee joint, ligaments and cartilage. It is well known that our body …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 1, 2018 · pp. 30–38 Read article
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Magnitude and Factors Associated with Tetanus Toxoid Vaccination among Female Youth in Mekelle City, Ethiopia: A Community Based Cross-Sectional Study
Abstract: Introduction: Tetanus can occur worldwide, and, in all age-groups, who acquire the infection through unhygienic conditions and in the youths, who have insufficient antitoxins due to no or sub-optimal immunization to protect themselves and their newborn babies. Objectives: To assess the magnitude and factors associated with tetanus toxoid immunization among female youths in Mekelle City, Tigray Regional state, Ethiopia. Method: Community based cross sectional study design was conducted. A total …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 3, 2019 · pp. 11–21 Read article
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IoT-based Vital Signs Monitoring System for Improved Healthcare Delivery
Abstract: The development of the Internet of Things (IoT) has opened up new possibilities for healthcare delivery. In this study, we propose an IoT-based vital signs monitoring system for improved healthcare delivery. The proposed system uses wearable devices to collect vital signs data and a cloud-based platform for data storage and analysis. The system also includes a mobile application for healthcare providers to access patient data and receive real-time notifications in …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 2, 2023 · pp. 31–37 Read article
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Drug Eluting Stents Alter the Inflammatory Biomarkers after One Week of Stent Implantation in Patients with Ischemic Heart Disease: Gender-Based Study
Abstract: Angioplasty is a successful antianginal therapy. Drugs coated on the surface of drug eluting stents (DESs) are potent antimitotic agents that strongly inhibit smooth muscle proliferation and inflammatory process. This study aimed to prove that DES are released into the circulation and induced anti-inflammatory effect which is gender based beyond the local effect on the coronary artery via determination of the circulating levels of interleukin-6 (IL-6) and high sensitivity C-reactive …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 2, 2016 · pp. 1–8 Read article
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Prevalence and Predictors of Goiter among 6–12 years Old Children in Eastern Tigray Region, Northern Ethiopia: A Community-based Cross-sectional Study
Abstract: Iodine deficiency disorder (IDD) is the collective name of endemic goiter and endemic cretinism. Goiter is the main preventable major public health problem worldwide during pregnancy and childhood in an environment where iodine is deficient. The aim of this study was to assess the prevalence rate and associated factors of goiter among 6–12 years old children in eastern Tigray region, Northern Ethiopia. We used community-based cross-sectional survey. The study population …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 52–60 Read article
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An Offline Space Division Multiplexing Based Elastic Optical Network Model with Switching and Modulation Format Adaptation for Flexible Spectrum and Spatial Assignment
Abstract: Abstract: The Space Division Multiplexing (SDM) based Elastic Optical Networks (EONs) (SDM-bEONs) is the proposed solution to both, the required upgradation of the network’s capacity constrained by the non-linear Shannon’s limit and the provisioning needed for the future diverse Internet traffic’s required capacity. With SDM providing ‘space’ as an additional freedom degree, the assignment of resource (i.e., spectrum and space) in the SDM-b-EONs translates into the Routing, Modulation Format, Space, …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 1–23 Read article
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The Power of Narrative: A Mixed Methods Investigation of Storytelling in Social Media Based Social Cause Campaigns and Its Impact on Audience Engagement Among Young Adults
Abstract: Background: The proliferation of digital platforms has fundamentally transformed how social cause organisations communicate with their target audiences. Storytelling has emerged as a strategic tool for driving emotional resonance and behavioural change among young adults a demographic that is both digitally native and increasingly socially conscious. This study investigates (1) how storytelling in social media–based social cause campaigns influences the digital interaction behaviour of young adults, and (2) whether such …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 37–48 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Performance-Based Fire Safety Assessment and Optimization of a Mixed-Use High-Rise Building Using NBC 2016, Hydraulic Adequacy, and Evacuation Time Analysis
Abstract: This paper presents a performance-based fire safety assessment of a simulated 92 m mixed-use high-rise building containing parking, commercial, office, and residential occupancies. Rather than relying only on prescriptive compliance, the study evaluates whether the installed fire protection strategy can maintain tenable conditions and deliver adequate suppression performance during a credible design fire. Using the base data supplied for the Metro Central Tower case, the work determines fire load density, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 1–9 Read article
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Comparative Evaluation of Pedigree-Based and Genomic BLUP Models for Wheat Grain Yield Prediction
Abstract: Before genome-wide molecular markers became affordable, plant and animal breeding relied on pedigree-based prediction (P-BLUP), using the expected additive relationship matrix (A) derived from recorded ancestry. Genomic selection replaced or augmented this with a marker-derived genomic relationship matrix (G; GBLUP), and single-step methods combining A and G are now standard when only a subset of a breeding population is genotyped. It is less clear whether pedigree information retains any predictive …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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RoseRAG-Based Clinical Decision Support System for Precision Medication Safety
Abstract: Medication-related errors remain a major challenge in healthcare, contributing to adverse drug events, increased hospitalization rates, and substantial healthcare costs. Conventional Clinical Decision Support Systems (CDSS) primarily rely on rule-based mechanisms for identifying drug-related problems (DRPs), including drug–drug interactions, contraindications, dosing errors, therapeutic duplication, and medication omissions. Although effective in structured environments, these systems frequently generate excessive context-insensitive alerts, leading to alert fatigue and reduced clinical acceptance. Recent developments in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article