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134 articles for “learning environments”
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Object Detection using Machine Learning: A Survey
Abstract: ABSTRACTComputer vision techniques have become increasingly popular in the modern era. One of the applications of computer vision is in the detection of object in an image or video. In object detection a target object is detected, localized and labelled based on the type of object. Real time detection of objects in harsh environments, accuracy and speed are some of the major challenges in computer vision technology. A variety of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 2, 2019 · pp. 7–11 Read article
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article
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Biomimicry, Marketing Technology or MarTech are Interlinked
Abstract: Biomimicry is exactly that! It's the practice of copying nature's proven patterns and strategies to solve human problems in a sustainable way. By learning from 3.8 billion years of natural evolution, people can create eco-friendly technologies, like buildings that save energy or materials that are kind to the environment, which also help support nature. Some famous examples come from different areas: In transportation, the Japanese Shinkansen bullet train was designed …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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“Concern and Defiance for Working Mothers in a Changing Social Environment”
Abstract: Even though it was obvious that working mothers face a lot of difficulties adjusting, they still like their current situation and want to keep it. Young married women, according to working women, should enter the workforce as employees or entrepreneurs. They should be able to take charge of their own lives, learn how to deal with the pressures of work and family, and usestrategies to find balance. Many working mothers …
Published in International Journal of Housing and Human Settlement Planning · Vol. 9, Issue 1, 2023 · pp. 6–9 Read article
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Construction Project Monitoring Using Computer Vision Technology – A Literature Review
Abstract: The construction industry is witnessing a transformative shift with the adoption of computer vision (CV) technologies for productivity monitoring and performance evaluation. This review consolidates the advancements in CV applications, focusing on areas, such as real-time progress tracking, resource management, and safety monitoring. The analysis highlights how automated systems, powered by deep learning models and object detection algorithms, are replacing traditional manual methods, offering enhanced accuracy, efficiency, and decision-making capabilities. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Development of Smart Fire Extinguishing
Abstract: The invention of smart fire extinguishing agents, which satisfy the growing need for efficient, eco-friendly, and adaptable fire suppression systems, is a significant advancement in fire safety. Traditional fire extinguisher chemicals, such as water, foam, and chemical powders, are effective, but they often have disadvantages, including toxicity, negative environmental effects, and inefficiency in difficult situations. Conversely, smart extinguishing agents maximize fire suppression through intelligent, tailored responses by utilizing advancements in …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–19 Read article
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Rethinking Design Education: Climate-Responsive Practices and Active Engagement
Abstract: Climate-responsive design has become essential with the growing emphasis on sustainability, particularly in line with Sustainable Development Goal (SDG) 11: Sustainable Cities and Communities, which calls for future architects to be equipped with both theoretical knowledge and practical skills. The increasing importance of quantitative analysis in climate-responsive design has made it crucial for architectural education to incorporate both intuitive and data-driven approaches. To prepare future architects, schools must ensure that …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 34–46 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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From SimCity to Smart City: The Role of Gamification in Teaching Sustainable Design
Abstract: The integration of sustainability into architectural education is critical to preparing future architects for real-world challenges in urban development. This study explores the potential of gamified learning, specifically through the city-building simulation game SimCity, as an innovative pedagogical tool to bridge the gap between theoretical understanding and practical application of sustainable urban planning concepts. SimCity’s game mechanics engage students in real-time decision-making involving resource management, infrastructure planning, and environmental sustainability. …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 10–17 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Impact of Exhaust Gas Recirculation on NOx Emissions and Efficiency in Diesel Engines
Abstract: Abstract Exhaust gas recirculation (EGR) has emerged as a pivotal strategy to reduce nitrogen oxide (NOx) emissions from diesel engines, which significantly contribute to air pollution and environmental degradation. NOx emissions pose serious concerns due to their role in forming smog, acid rain, and adverse health impacts. By recirculating a portion of the exhaust back into the intake manifold, EGR reduces these emissions by restricting the manufacturing of NOx and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Integrating Cellular Automata for Predicting Urban Expansion: A Case Study of Bavdhan, Sus, and Mahalunge
Abstract: Rapid Urban Expansion in the metropolitan cities like Pune, result in indiscriminate land use changes transforming natural landscapes. Such haphazard spatial development poses a risk to depletions of resources along with the disarray of the ecological system. A proactive approach to predicting and analyzing such changes is necessary in promoting the well-managed growth of cities. For the complex nature of urban growth, simulation method is used for analyzing spatial patterns, …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 51–62 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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An Efficient Machine Learning System forPrediction of Water Quality with Explainable AI
Abstract: Abstract Water availability and quality have been issues globally, especially in developing nations. Unchecked urbanization and industrialization contaminate natural water supplies and aquifers, potentially introducing physical, chemical, and biological contaminants. Over 80% of illnesses are caused by drinking tainted water, according to a WHO assessment. As clean water sources become more at risk, water quality protection has become of human, environmental, and economic importance worldwide. These water sources, crucial for …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 33–42 Read article
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Mountain-Born Architecture: The Lung Vai School in Vietnam
Abstract: Lung Vai School, located in the mountainous Minh Tân region of northern Vietnam, represents a context-sensitive architectural response shaped by geography, climate, and the cultural traditions of the Hmong community. Designed by 1+1>2 Architects and completed in 2020, the school demonstrates how educational infrastructure in remote regions can be realized through vernacular intelligence, material ecology, and participatory construction processes. Rather than relying on imported typologies or industrialized systems, the project …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 27–35 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article