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967 articles for “data management”
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 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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Evolving IoT: Based Smart Healthcare Monitoring System
Abstract: The continuous progress in technology has led to remarkable enhancements in various aspects of human life, including healthcare. Within the healthcare sector, practitioners and experts are embracing new technologies to significantly improve the implementation of medical services. The Internet of Things (IoT) has emerged as a crucial foundation for various innovative healthcare technologies, such as heartbeat sensors, ECGs, and blood pressure sensors, each equipped with microcontrollers to read and interpret …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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Pharmacogenomics in Anesthesia: Case Studies and Clinical Applications for Personalized Care
Abstract: Pharmacogenomics, the study of how genetic variability influences individual responses to medications, is transforming anesthetic practice by enabling personalized care. This case study collection explores the integration of pharmacogenomic insights into anesthesia management, highlighting its impact on safety, efficacy, and patient outcomes. Adverse reactions to anesthetics often arise from genetic polymorphisms that alter drug metabolism or sensitivity. For instance, patients with RYR1 mutations are susceptible to malignant hyperthermia (MH) when …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 85–91 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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A Review on the After-Effect of Energy Audit at Residential, Commercial and Industrial Sector
Abstract: Energy audits are essential for spotting the trends in energy usage and suggesting ways to increase energy efficiency in all sectors. The rising need for sustainable energy practices has amplified the importance of systematic energy assessment methods, allowing organizations to synchronize operational performance with environmental objectives. The consequences of energy audits in the commercial, industrial, and residential sectors are examined in this review. The study emphasizes how energy audits provide …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 9–13 Read article
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Life Sciences in the 21st Century: New Ideas and Their Effects
Abstract: The life sciences have made huge strides in the 21st century, thanks to quick progress in genomics, biotechnology, and computational biology. New technologies like gene editing, personalised medicine, and synthetic biology have changed the way we think about living systems and changed the way we do things in healthcare, farming, and managing the environment. Combining big data and artificial intelligence has sped up discoveries even further, making it possible to …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Face Recognition Attendance System Using Local Binary Pattern Histogram Algorithm
Abstract: Maintaining accurate and tamper-proof attendance records in educational and corporate environments has long been a challenge due to the limitations of manual and biometric systems. This study introduces the development and deployment of a contactless, automated attendance system that utilizes facial recognition through the local binary pattern histogram (LBPH) algorithm. The primary goal is to offer a secure and efficient substitute for conventional attendance methods by harnessing the power of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 29–34 Read article
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Industrial Waste Challenges and Green Manufacturing Practices: Enhancing Small and Medium-sized Enterprises (SME’s) Sustainability
Abstract: This study investigates green-manufacturing practices affects the lasting growth of Small and Medium-sized Enterprises (SMEs). The article examines how SMEs' ecological, communal, and financial sustainability performance can facilitate in improving by implementing Soft Total Quality Management (TQM) practices. The research adds to the body of data by emphasizing the value of using a comprehensive Total Quality Management (TQM) strategy to support sustainable growth in Small and Medium-sized Enterprises (SMEs). The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 693–698 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Enhancing Trust in Education Through Blockchain- Based Credential Authentication
Abstract: Academic credentials such as degree certificates, transcripts, and course completion records are fundamental for validating an individual’s educational achievements. However, conventional credential management systems largely rely on centralized databases and physical documentation, making them vulnerable to forgery, unauthorized modification, data loss, and inefficient verification processes. These limitations reduce trust among educational institutions, employers, and learners, while also increasing administrative overhead. This study proposes a blockchain-based credential authentication framework designed to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 1–7 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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An Overview on Harnessing Microwave Frequencies for Next-Generation Satellite Communication and Earth Observation
Abstract: In the vacuum of space, where traditional cables cannot reach, humanity has woven an invisible, high-speed infrastructure made of oscillating electromagnetic waves. At the heart of this architecture lies the microwave spectrum—the unsung hero that enables everything from global GPS navigation to real-time climate monitoring. The evolution of global connectivity and environmental monitoring is intrinsically linked to the mastery of the microwave spectrum. As satellite constellations transition from traditional Geostationary …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 1–6 Read article
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Cognitive Emotional Regulation Strategies and Locus of Control among Substance Users
Abstract: Substance use is among the major health concern that creates significant disability in a person's mood and behavior, which leads to poor health and loss of productivity. Increasing substance use is associated with various short and long-term effects which affect how they deal with stress, regulate their emotions, decision making, and overall quality of life. The current research aims to Examine relationship between cognitive emotional regulation strategies and locus of …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Study and Analysis of Labour Management on Building Construction Project
Abstract: The term "labour management" describes a business's procedures and guidelines for adhering to national and international labour laws as well as client demands. In order to increase labour productivity, this study sought to measure the efficacy of a number of implemented management strategies, such as resource scheduling, advanced construction methods, labour management, training, communication, supervision, planning, and incentive programs. Labour management is an important parameter considered on site because the …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 20–31 Read article
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Innovative Biosensor Applications in Petroleum Industry for Enhanced Monitoring and Safety Measures
Abstract: The petroleum industry is fundamental to the global economy, providing the energy and raw materials that drive modern society. However, this industry faces a myriad of challenges, including ensuring the safety of operations, monitoring critical processes effectively, and minimizing environmental impacts. Traditional monitoring techniques, while valuable, often fall short in delivering real-time data and comprehensive insights into operational parameters. These limitations can result in delayed responses to potential hazards and …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–13 Read article
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Shortest Route Identification Model for Urban Solid Waste Disposal Management Using GIS: A Case of Gulu City, Northern Uganda
Abstract: GIS has been employed for integration of both spatial and non-spatial data. It can be applied to any service that is dependent on network like water and power supplies, sewage and transportation. This study was done in Gulu municipality to address the problem of poor solid waste disposal management. It proposes a shortest route identification model to minimize travel distance and reduce collection time by the trucks. The constraints that …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 1–19 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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IoT-enhanced Real-time Monitoring and Hazard Detection
Abstract: This research explores the innovative application of internet of things (IoT) technology within occupational health and safety management systems (OHSMS) to substantially improve real-time monitoring and hazard detection in industrial settings. IoT sensors and wearable devices are deployed to enable continuous and thorough collection of data on environmental conditions, equipment status, and worker health. Real-time data analysis facilitated by IoT technology allows for the rapid identification and mitigation of potential …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 20–24 Read article