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134 articles for “learning environments”
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Space Optimization and Management for Architectural Institutions: Capacity Development Perspective
Abstract: Capacity development (CD) is the process by which organizations strengthen their abilities to perform core functions, deal with challenges of today, plan and make efficient use of resources to achieve their objectives in a sustainable manner. One of the significant principles of CD movement is to build on what already exists; henceforth more attention needs to be drawn to the education sector, where the higher education institutions face the challenge …
Published in International Journal of Housing and Human Settlement Planning · Vol. 8, Issue 2, 2022 · pp. 1–12 Read article
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A Study to Assess the Impact of Interactive Technique Using Concept Maps on Learning among Nursing Students
Abstract: Teachers helps the students to acquire knowledge Innovative methods of teaching is a skill for the teachers. Various research has shown that innovative teaching methods enhance students learning process. teaching is one of the important roles. There are many innovative teaching methods that that can be used to teach nursing students. Teachers try hard to create a new learning environment. Education helps students to develop creative thinking. Institute must include …
Published in International Journal of Medical Surgical Nursing · Vol. 4, Issue 1, 2021 · pp. 6–15 Read article
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CampusXchange: Campus Social Networking System
Abstract: The project aims to address the pressing need for an inclusive and efficient social networking platform tailored specifically for college students. The absence of a dedicated platform has led to challenges in connecting with peers, seniors, and alumni, hindering the exchange of knowledge, opportunities, and support within the college community. The lack of an integrated digital space also limits campus engagement, hinders access to valuable resources, and impedes the development …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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School Management System
Abstract: The goal of this project is to design and evaluate a web-based school management system that will give administrators and instructors the leverage they need to support all schools in effectively and efficiently managing their daily operations. Two different approaches make up analysis methods: suggestedsystem planning and current system analysis. The current system used direct surveys, interviews, instruction in classes, and literature study as its data collection methods. We developed …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Flexible Outdoor Learning and Social Spaces: The Case for Campus Bistro Decks
Abstract: University campuses today are evolving beyond traditional classrooms into dynamic environments that nurture learning, collaboration, and well-being. With changing pedagogical approaches that emphasize creativity, teamwork, and mental health, there is a growing need for interactive and informal learning spaces that complement formal education. These in-between zones – neither entirely academic nor purely recreational – play a vital role in shaping campus life and fostering a sense of belonging among students …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 62–69 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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Studies on Phytoplanktons and Their Role in Environmental Monitoring and Management
Abstract: Several parameters are known to affect the quality of environment. These parameters or properties can be physical, chemical or biological. Physical properties of water quality include temperature and turbidity. Chemical characteristics involve parameters such as pH and dissolved oxygen. Biological indicators of water quality typically are the algae and phytoplankton. These parameters are relevant not only to surface water studies of the ocean, lakes and rivers, but to groundwater and …
Published in International Journal of Environmental Chemistry · Vol. 3, Issue 1, 2017 · pp. 30–33 Read article
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Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation
Abstract: Environmental monitoring requires intelligent, scalable, and autonomous instrumentation systems capable of continuously sensing, processing, and communicating heterogeneous data under dynamic conditions. This study proposes an Autonomous Multi-Agent Sensor Network for Distributed Environmental Instrumentation, integrating distributed sensor nodes, edge computing, multi-agent collaboration, adaptive data fusion, and intelligent decision-making to achieve reliable real-time monitoring of environmental parameters. Each sensor agent autonomously performs local sensing, anomaly detection, energy-aware communication, and cooperative information exchange …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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Psychology in Architecture: Client and Architect Relationship
Abstract: Abstract Good communication and the psychological engagement between client and professional leads towards great outcomes/projects. By focusing on collaboration and mutual understanding, the study sheds light on how architects can foster a healthy and transparent relationship with their clients, marked by effective communication and responsiveness at every stage of the project. This approach enables architects to interpret and translate client needs into practical and aesthetic solutions while maintaining the integrity …
Published in International Journal of Town Planning and Management · Vol. 11, Issue 1, 2025 · pp. 13–30 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 Read article
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A New Architectural Model Shift Beyond the Cloud in Python Using PS
Abstract: Nowadays, data science initiatives are typically generated in an unstructured manner, making replication difficult. Transitioning from an experimental to a production environment is also difficult. Data scientists may transfer a pipeline from a local environment to the cloud using operational techniques like containerization, continuous deployment, and cloud orchestration. Recognizing the difficulties associated with establishing those procedures, this study proposes a framework for easier experiment monitoring and machine learning operationalization by …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Biocatalytic Synergy: Organic Chemistry Strategies for Sustainable Biochemical Transformation
Abstract: In the pursuit of greener and more sustainable chemical processes, biocatalysis has emerged as a pivotal field bridging organic chemistry with biochemical innovation. This paper explores how principles from organic chemistry are being integrated into biocatalytic systems to enable environmentally friendly biochemical transformations. Emphasis is placed on enzyme engineering, co-factor recycling, green solvent usage, and hybrid chemo-enzymatic methodologies that enhance selectivity, reduce toxicity, and minimize environmental impact. Recent advancements—including machine …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 11, Issue 2, 2025 · pp. 38–41 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Sensory Play Interiors for Children with Special Needs
Abstract: This dissertation examines the role of sensory play interiors in fostering learning, engagement, and overall well-being among children with diverse sensory processing disorders, autism spectrum disorder (ASD), and other developmental disabilities. Sensory play is recognized as a vital component of cognitive, emotional, and physical development, offering children opportunities to explore, self-regulate, and develop essential motor, social, and communication skills. Children with special needs often encounter challenges in interacting with their …
Published in International Journal of Landscape Planning and Architecture · Vol. 11, Issue 2, 2025 · pp. 57–88 Read article