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328 articles for “predictive”
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Robotics and Automation in Mechanical Engineering: Transforming Modern Manufacturing Systems
Abstract: Robotics and automation have significantly transformed mechanical engineering, particularly in manufacturing, precision assembly, and intelligent systems integration. With the advancement of sensors, control systems, artificial intelligence, and mechatronics, robotic systems are now capable of performing complex tasks with high accuracy, repeatability, and efficiency. This article explores the role of robotics in modern mechanical applications, including industrial automation, collaborative robots, predictive maintenance, and smart manufacturing. It also discusses design considerations, challenges, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 27–33 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Breast Feeding Practices Among Rural Women
Abstract: Introduction: Breastfeeding is an unequalled way of providing ideal food for the healthy growth and development of infants. As per the national family health survey-3 (NFHS-3), only 46% of the Indian infants between 0 and 6 months are exclusively breastfed. Hence the following study was done to know the practice of breastfeeding in mothers of rural and urban areas of India. Method- The study was carried out in a rural …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 01–08 Read article
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Investigate an Implementation Study of TI-6AL-4V Lattice-based Scaffold Design Using Finite Element Analysis
Abstract: Implementation studies are advised to determine the effectiveness and performance of bone scaffolding in morphology, which has been demonstrated scientifically. The rehabilitation of bone defects, which is still a complex problem in orthopedic surgery, was the subject of an implementation study we provided. Biomaterial scaffolding porosity and pore size are essential in both in vivo and in vitro bone development. However, it has been linked to various drawbacks, including poor …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 28–35 Read article
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The Nursing Perspective: Emerging Competencies in Midwifery and Neonatal Care
Abstract: A skilled attendant is a qualified healthcare practitioner, such as a midwife, doctor, or nurse, who has received appropriate education and training to effectively handle uncomplicated pregnancies, childbirth, and the immediate postnatal period. They are equipped to identify, manage, and refer any complications that may arise in women and newborns. Skilled attendants have the necessary knowledge and skills to manage normal pregnancies and childbirth, and their presence during delivery is …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Evaluating the Performance of Mobile Air Compressor Component of Radiator Unit using the Application of Reliability
Abstract: The application of reliability to monitor and predict the performance of mobile air compressor component of radiator unit was considered in this research. This study demonstrated some of the root causes of the radiator unit failure as effect of temperature and the nature of coolers used, because these two parameters cause corrosion, affect shortage on fluid level and in turn influence the internal heat generated by radiator unit of the …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 1, 2023 · pp. 39–43 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
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Knowledge and Practices of Postnatal Mothers Regarding Newborn Care in a Selected Hospital in West Bengal
Abstract: The health of newborns is significantly impacted by the extent of knowledge and behaviors exhibited by mothers in the postnatal period. By assessing the level of knowledge and practices it is possible to predict the cause and reduce the rate of neonatal mortality and morbidity. A research investigation aimed at evaluating the understanding and routines of postnatal mothers regarding the care of newborns in a chosen hospital located in West …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 30–37 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Smart Shuttle System: An IoT and Machine Learning Based Approach
Abstract: The Smart Shuttle System is an IoT-based system designed to provide a hassle-free, cashless payment experience for students using the shuttle service. The system utilizes RFID (Radio Frequency Identification) technology to identify students and deduct the fare amount from their account. Radio Frequency Identification (RFID) technology is being considered as an alternative to traditional money and Unified Payments Interface (UPI) for making payments due to several advantages it provides over …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 9–22 Read article
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Clinical Profile of Dengue Patients who had a Prior Infection with the Covid 19 Virus in a Tertiary Care Centre
Abstract: This cross-sectional analytical study conducted in a tertiary care center aims to investigate the clinical profile of Dengue virus-infected patients with a prior history of COVID-19 within the last three years. Dengue, a prevalent tropical disease, ranges from mild fever to severe conditions like hemorrhagic fever and shock syndrome. The study utilizes the World Health Organization's 2009 classification for Dengue and delineates the febrile, critical, and recovery phases of infection. …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 34–38 Read article
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Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article
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The Influence of Fresh Raffia Palm Trunk on the Bioremediation of Oil-Based Drill
Abstract: This study determines the effect of fresh raffia palm for biodegradation of oil-based drill cuttings bioremediation. The experiment was conducted at the rivers institute of Agricultural research and training (RIART) located at the Rivers State University, Port Harcourt. Samples of oil-based drill cuttings were bulked in eleven reactors with four replications (T1, T2, T3-T11). The physiochemical properties of the initial drill cuttings were analyzed. Also, the physiochemical properties of the …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 41–48 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Study and Thermal Analysis of a Rectangular Duct with Z-shaped Baffle Using Ansys
Abstract: This project aims to enhance heat transfer in a rectangular duct by utilizing Z-shaped baffles. It involves creating a 3D CAD model using SolidWorks and validating it in ANSYS Fluent 2019 R2. The study focuses on analyzing the effect of baffle arrangement, height, and angle on heat transfer rate. Comparative analysis is conducted between rectangular ducts with a 60° angle and heights of 4 mm, 6 mm, and 8 mm. …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 14–30 Read article
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A Narrative Review on an Insight of Herbal Origin Drugs and Their Traditional Medicine Formulations for the Treatment of Nephrolithiasis
Abstract: Ethnopharmacological relevance. There is no satisfactory treatment at present to cure or prevent kidney stone recurrences using predictable medicines. There are several marketed formulations in Ayurveda, Unani and Homeopathic Traditional Medicines (TM) have potential lithotriptic effects and clinical applications. In India, prevalence rates of complementary and alternative medicine (CAM) for the treatment of nephrolithiasis are being estimated at 63.9%. Aim of the review This review article intended to scientifically documented …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 1, 2024 · pp. 14–30 Read article
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Enhancing Business Expansion through the Integration of Artificial Intelligence and Business Intelligence
Abstract: Business intelligence (BI) and artificially intelligent technology (AI) give businesses a competitive edge and significantly boost growth. AI emulates human cognitive processes, learns from data, and makes intelligent decisions, while BI analyzes data for strategic insights. This study explores the synergies of integrating AI and BI, revealing opportunities for business expansion. AI algorithms analyze extensive datasets, enhancing predictions for customer behavior. The reciprocal relationship automates processes, elevates decision-making, and enables …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 27–33 Read article
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Fracture Mechanics-based Assessment of Welded Joints in Structural Steel Components
Abstract: In many engineering applications, connection by welding are essential to the structural integrity of steel components. However, because of the intricate interplay between material qualities, welding techniques, and structural stress conditions, evaluating the dependability and safety of these welded connections continues to be a difficult challenge. A systematic framework that evaluates the behavior of cracks and faults in welded joints is provided by fracture mechanics, which also offers insights into …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 2, 2023 · pp. 16–22 Read article