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365 articles for “Training and Development”
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Review Paper: Pharmacists in Ambulatory/Outpatient Patient Care Settings
Abstract: Ambulatory consideration pharmacy practice is characterized as the arrangement of coordinated, open human services benefits by pharmacists who are responsible for tending to medication needs, creating continued associations with patients, and rehearsing with regards to family and network. This is cultivated through direct patient consideration and medication the executives for ambulatory patients, long haul connections, coordination of consideration, patient support, wellbeing and wellbeing advancement, triage and referral, and patient instruction …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 1, 2019 · pp. 45–65 Read article
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Artificial Intelligence and the Future of Education
Abstract: Artificial Intelligence (AI) refers to the capability of a computer system to mimic human intelligence by performing tasks such as learning, reasoning, problem-solving, and decision-making. As a rapidly evolving and emerging technology, AI holds the potential to transform a wide range of sectors, including healthcare, transportation, business, and notably, education. Its application in the educational domain is gaining momentum, aiming to create more efficient, engaging, and personalized learning environments. Incorporating …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 39–44 Read article
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Deep Learning models for real time detection of crop diseases in the Maharashtra/Mumbai district
Abstract: This research project addresses the critical agricultural challenge of crop disease management in the Maharashtra region of India by leveraging modern deep learning techniques. The primary objective is to identify, implement, and compare the efficacy of various deep learning architectures—including Convolutional Neural Networks (CNNs), MobileNet, and EfficientNet—for the real-time classification of diseases in key crops such as cotton, soybean, and sugarcane. A custom dataset of agricultural images specific to Maharashtra's …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 36–48 Read article
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Real-time Facial Recognition with Convolutional Neural Networks for Personalized Music Therapy
Abstract: In this project, a web-based application has been developed that integrates computer vision-based facial recognition, multiple algorithms, and machine learning approaches. The given system obtains a user’s emotions in the real-time frame by analyzing facial expressions such as eyes, mouth, the forehead, and so on. It detects emotions like happiness, sadness, that is neutrality, or rock. For a given detected emotion, language, and a user’s chosen artist, the system recommends …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 67–76 Read article
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Alarming Increments of Tobacco and Related Substance Use among College and University Students in Ethiopia: Review
Abstract: The use of substances such as tobacco, alcohol, khat, and other substances has become one of the rising public health and socioeconomic problems worldwide. Onset of smoking and alcohol drinking during early adulthood is a well-documented and significant public health risk factor and is linked to a high risk of chronic diseases at older age. Tobacco is leading cause of death, illness and impoverishment worldwide. The tobacco epidemic is one …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 3, 2016 · pp. 1–7 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Assisted Kinetic Modeling of PLA Hydrolysis Under Subcritical Water Conditions for Sustainable Polymer Recycling
Abstract: The accumulation of poly (lactic acid) (PLA) in terrestrial and marine ecosystems has intensified the demand for closed-loop, green recycling technologies. Subcritical water (SCW) hydrolysis offers a promising, catalyst-free pathway for the rapid depolymerization of PLA into its constituent monomer, lactic acid. However, the complex, highly non-linear kinetics governing macro-molecular degradation under variable hydrothermal conditions limit real-time process optimization and industrial scalability. This study develops a novel artificial intelligence (AI)-assisted …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 65–74 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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Braegen Monitor: Virtual Diagnosis And Home Training For Children With Cognitive Disabilities
Abstract: Braegen Monitor is an innovative software solution designed to support children with cognitive disabilities by providing personalized home-training and engagement activities. The platform enables caretakers to submit EEG reports through the app, which are then virtually analyzed by a child psychiatrist. This ensures timely and professional diagnosis without the stress of frequent hospital visits. A unique feature of Braegen Monitor is the psychiatrist’s personal interview with the caretaker or parent …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 44–54 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Communication Pathways and Project Success: Analyzing Stakeholder Coordination Impacts on Construction Outcomes
Abstract: It is very critical to have effective communication and coordination among stakeholders for the successful delivery of the projects. Effective communication keeps stakeholders well-informed about project progress, promoting transparency, trust, and collaboration. Coordination ensures that responsibilities and resources are efficiently allocated, reducing the risk of misunderstandings and enhancing decision-making processes. Inadequate stakeholder engagement can lead to confusion, delays, rework, and the failure to meet key project milestones. The impact of …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 104–126 Read article
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Evaluation of Health, Safety and Environment (HSE) Status in the Energypac Power Industry of Bangladesh
Abstract: Health, Safety, and Environmental (HSE) culture in Bangladesh is pivotal for fostering sustainable development and ensuring the well-being of its population. The aim of the study to assess the current Health, Safety, and Environment (HSE) standards and practices, to analysis the existing legal and policy framework and to show the status of safety in the Energypac Power industry of Bangladesh. Data collection was selected using a Primary method (Questionnaire, Interview, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 10–15 Read article
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Transforming Punjab's Education System: A Critical Analysis of Automation and Artificial Intelligence
Abstract: The rapid advancement of Artificial Intelligence (AI) and automation technologies is transforming education systems across the globe. In Punjab, one of India's leading educational regions, AI-driven tools and automated technologies are increasingly being adopted to improve teaching, learning, assessment, administration, and institutional management. This study critically examines the impact of AI and automation on Punjab's education system by exploring their opportunities, challenges, and future prospects. The research is based on …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 31–42 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Knowledge of Staff Nurses Regarding Cardiopulmonary Resuscitation
Abstract: Heart disease is the world’s largest killer, claiming 17.5 million lives every year. About every 29 sec, an Indian dies of heart problem. As many as 20,000 new heart patients develop every day in India, six crore Indians suffered from heart disease and 30% more are at high risk. By 2020, India will have the largest coronary heart disease (CAD) burden in the world and will account for one third …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 1, 2017 · pp. 6–11 Read article
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Flood Risk Assessment and Disaster Management through Data Applications and Engineering Interventions
Abstract: Flooding is the most extreme and well-known destructive tournament and has serious implications for sustainable development. The vast majority of disasters in Africa are caused by floods, which are also the most frequent and widespread calamities. This paper x-rays alternative approaches to catastrophe management and flood risk assessment. Various methodologies, literature reviews and advanced techniques such as remote sensing, indicator-based methods, computer-based methods and utilization of geographic information systems (GIS) …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 2, 2022 · pp. 39–48 Read article
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Parameteric Equation Development for Cutting Cost vs Depth of Cut for Multi Blade Granite Block Cutting Machine
Abstract: The stone processing industry has a very huge market in world. There is only three basic need of a human i.e. food, clothes and shelter, where stone covers big part of shelter, hence the requirement is also high. Basically most of the stone processing industries in India are small scale industry. The basic detail about the stone cutting machine is discussed and along with that parametric equation for relation between …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 1, 2018 · pp. 8–14 Read article